diff --git a/README.md b/README.md
index eea0a7486d5d82b2e8b3f5df0a443c011ecc3db1..05128e7230bfa42c9c6043957bd0a5679c8e2f1a 100644
--- a/README.md
+++ b/README.md
@@ -1,11 +1,20 @@
# Bio-Volumentations
-Image augmentation and preprocessing package for 3D, 4D, and 5D biomedical images.
+`Bio-Volumentations` is an image augmentation and preprocessing package for 3D, 4D, and 5D biomedical images.
+It offers a range of image transformations implemented efficiently for time-lapse multi-channel volumetric image data.
+This includes both preprocessing transformations (such as intensity normalisation, padding, and type casting)
+and augmentation transformations (such as affine transform, noise addition and removal, and contrast manipulation).
+
+The `Bio-Volumentations` library is a suitable tool for data manipulation in machine learning applications.
+Importantly, it can be used with any major Python deep learning library.
+
+This library builds upon wide-spread libraries such as Albumentations (see the Contributions section below)
+in terms of design and user interface. Therefore, it can easily be adopted by users.
# Installation
-Install the package from pip using
+Install the package from PyPi using
```python
pip install bio-volumentations
```
@@ -56,10 +65,10 @@ Below, there are several examples of how to use this library.
### Example: Transforming a Single Image
```python
-# Create the transformation using Compose from a list of transformations
import numpy as np
from bio_volumentations import Compose, RandomGamma, RandomRotate90, GaussianBlur
+# Create the transformation using Compose from a list of transformations
aug = Compose([
RandomGamma(gamma_limit = (0.8, 1,2), p = 0.8),
RandomRotate90(axes = [1, 2, 3], p = 1),
@@ -97,7 +106,7 @@ as stand-alone targets (see below).
If a `Random...` transform receives multiple targets on its input in a single call,
the same random numbers are used to transform all of these targets.
-however, some transformations might behave slightly differently for the individual
+However, some transformations might behave slightly differently for the individual
target types. For example, `RandomCrop` works in the same way for all target types, while
`RandomGaussianNoise` only affects the `image` target and leaves the `mask` and
`float_mask` targets unchanged. Please consult the documentation of respective transforms
@@ -229,7 +238,7 @@ We would thus like to thank their authors, namely:
# Citation
-TODO
+TBA
diff --git a/__init__.py b/__init__.py
deleted file mode 100644
index e068b7a1027186daf133538a84aae44d46369ef6..0000000000000000000000000000000000000000
--- a/__init__.py
+++ /dev/null
@@ -1,45 +0,0 @@
-# ============================================================================================= #
-# Author: Pavel Iakubovskii, ZFTurbo, ashawkey, Dominik MĂĽller, #
-# Samuel Šuľan, Lucia Hradecká, Filip Lux #
-# Copyright: albumentations: : https://github.com/albumentations-team #
-# Pavel Iakubovskii : https://github.com/qubvel #
-# ZFTurbo : https://github.com/ZFTurbo #
-# ashawkey : https://github.com/ashawkey #
-# Dominik MĂĽller : https://github.com/muellerdo #
-# Lucia Hradecká : lucia.d.hradecka@gmail.com #
-# Filip Lux : lux.filip@gmail.com #
-# #
-# Volumentations History: #
-# - Original: https://github.com/albumentations-team/albumentations #
-# - 3D Conversion: https://github.com/ashawkey/volumentations #
-# - Continued Development: https://github.com/ZFTurbo/volumentations #
-# - Enhancements: https://github.com/qubvel/volumentations #
-# - Further Enhancements: https://github.com/muellerdo/volumentations #
-# - Biomedical Enhancements: https://gitlab.fi.muni.cz/cbia/bio-volumentations #
-# #
-# MIT License. #
-# #
-# Permission is hereby granted, free of charge, to any person obtaining a copy #
-# of this software and associated documentation files (the "Software"), to deal #
-# in the Software without restriction, including without limitation the rights #
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell #
-# copies of the Software, and to permit persons to whom the Software is #
-# furnished to do so, subject to the following conditions: #
-# #
-# The above copyright notice and this permission notice shall be included in all #
-# copies or substantial portions of the Software. #
-# #
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, #
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE #
-# SOFTWARE. #
-# ============================================================================================= #
-
-from .bio_volumentations.augmentations.transforms import *
-from .bio_volumentations.conversion.transforms import *
-from .bio_volumentations.core.composition import *
-from .bio_volumentations.core.transforms_interface import *
-
diff --git a/docs/Makefile b/docs/Makefile
index d4bb2cbb9eddb1bb1b4f366623044af8e4830919..d0c3cbf1020d5c292abdedf27627c6abe25e2293 100644
--- a/docs/Makefile
+++ b/docs/Makefile
@@ -5,8 +5,8 @@
# from the environment for the first two.
SPHINXOPTS ?=
SPHINXBUILD ?= sphinx-build
-SOURCEDIR = .
-BUILDDIR = _build
+SOURCEDIR = source
+BUILDDIR = build
# Put it first so that "make" without argument is like "make help".
help:
diff --git a/docs/_build/doctrees/environment.pickle b/docs/_build/doctrees/environment.pickle
deleted file mode 100644
index 38df465b56419b067afb031930addde2de64c6b3..0000000000000000000000000000000000000000
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diff --git a/docs/_build/doctrees/index.doctree b/docs/_build/doctrees/index.doctree
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index 819fd77afe5839945d19aaf365d54a4b2599830d..0000000000000000000000000000000000000000
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diff --git a/docs/_build/doctrees/volumentations_biomedicine.augmentations.doctree b/docs/_build/doctrees/volumentations_biomedicine.augmentations.doctree
deleted file mode 100644
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diff --git a/docs/_build/html/_modules/index.html b/docs/_build/html/_modules/index.html
deleted file mode 100644
index 43a4cb86d559d244cc1011819feedd2efaf2ca42..0000000000000000000000000000000000000000
--- a/docs/_build/html/_modules/index.html
+++ /dev/null
@@ -1,103 +0,0 @@
-<!DOCTYPE html>
-<html class="writer-html5" lang="en">
-<head>
- <meta charset="utf-8" />
- <meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>Overview: module code — volumentations_biomedicine documentation</title>
- <link rel="stylesheet" type="text/css" href="../_static/pygments.css" />
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diff --git a/docs/_build/html/_modules/volumentations_biomedicine/augmentations/transforms.html b/docs/_build/html/_modules/volumentations_biomedicine/augmentations/transforms.html
deleted file mode 100644
index f4f012178e97124eeec4657c1102f52cc884528e..0000000000000000000000000000000000000000
--- a/docs/_build/html/_modules/volumentations_biomedicine/augmentations/transforms.html
+++ /dev/null
@@ -1,1303 +0,0 @@
-<!DOCTYPE html>
-<html class="writer-html5" lang="en">
-<head>
- <meta charset="utf-8" />
- <meta name="viewport" content="width=device-width, initial-scale=1.0" />
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- <link rel="index" title="Index" href="../../../genindex.html" />
- <link rel="search" title="Search" href="../../../search.html" />
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-
- <h1>Source code for volumentations_biomedicine.augmentations.transforms</h1><div class="highlight"><pre>
-<span></span><span class="c1"># ============================================================================================= #</span>
-<span class="c1"># Author: Pavel Iakubovskii, ZFTurbo, ashawkey, Dominik Müller, Lucia Hradecká #</span>
-<span class="c1"># Copyright: albumentations: : https://github.com/albumentations-team #</span>
-<span class="c1"># Pavel Iakubovskii : https://github.com/qubvel #</span>
-<span class="c1"># ZFTurbo : https://github.com/ZFTurbo #</span>
-<span class="c1"># ashawkey : https://github.com/ashawkey #</span>
-<span class="c1"># Dominik MĂĽller : https://github.com/muellerdo #</span>
-<span class="c1"># Lucia Hradecká : https://gitlab.fi.muni.cz/xdupkan/ #</span>
-<span class="c1"># #</span>
-<span class="c1"># Volumentations History: #</span>
-<span class="c1"># - Original: https://github.com/albumentations-team/albumentations #</span>
-<span class="c1"># - 3D Conversion: https://github.com/ashawkey/volumentations #</span>
-<span class="c1"># - Continued Development: https://github.com/ZFTurbo/volumentations #</span>
-<span class="c1"># - Enhancements: https://github.com/qubvel/volumentations #</span>
-<span class="c1"># - Further Enhancements: https://github.com/muellerdo/volumentations #</span>
-<span class="c1"># - Biomedical Enhancements: https://gitlab.fi.muni.cz/xdupkan/volumentations/ #</span>
-<span class="c1"># #</span>
-<span class="c1"># MIT License. #</span>
-<span class="c1"># #</span>
-<span class="c1"># Permission is hereby granted, free of charge, to any person obtaining a copy #</span>
-<span class="c1"># of this software and associated documentation files (the "Software"), to deal #</span>
-<span class="c1"># in the Software without restriction, including without limitation the rights #</span>
-<span class="c1"># to use, copy, modify, merge, publish, distribute, sublicense, and/or sell #</span>
-<span class="c1"># copies of the Software, and to permit persons to whom the Software is #</span>
-<span class="c1"># furnished to do so, subject to the following conditions: #</span>
-<span class="c1"># #</span>
-<span class="c1"># The above copyright notice and this permission notice shall be included in all #</span>
-<span class="c1"># copies or substantial portions of the Software. #</span>
-<span class="c1"># #</span>
-<span class="c1"># THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #</span>
-<span class="c1"># IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #</span>
-<span class="c1"># FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #</span>
-<span class="c1"># AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #</span>
-<span class="c1"># LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, #</span>
-<span class="c1"># OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE #</span>
-<span class="c1"># SOFTWARE. #</span>
-<span class="c1"># ============================================================================================= #</span>
-<span class="kn">from</span> <span class="nn">warnings</span> <span class="kn">import</span> <span class="n">warn</span>
-
-<span class="kn">import</span> <span class="nn">random</span>
-<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
-<span class="kn">from</span> <span class="nn">..core.transforms_interface</span> <span class="kn">import</span> <span class="o">*</span>
-<span class="kn">from</span> <span class="nn">..augmentations</span> <span class="kn">import</span> <span class="n">functional</span> <span class="k">as</span> <span class="n">F</span>
-<span class="kn">from</span> <span class="nn">..random_utils</span> <span class="kn">import</span> <span class="o">*</span>
-<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Union</span>
-
-<span class="c1"># TODO apply_mask/float - ine spravanie? zatial vsade to iste</span>
-
-<span class="c1">#Potentional upgrade : different sigmas for different channels</span>
-<div class="viewcode-block" id="GaussianNoise"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianNoise">[docs]</a><span class="k">class</span> <span class="nc">GaussianNoise</span><span class="p">(</span><span class="n">ImageOnlyTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Adds gaussian noise to the image.</span>
-
-<span class="sd"> Noise is drawn from the normal distribution. </span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> var_limit (tuple, optional): variance of normal distribution is randomly chosen from this interval. Defaults to (0.001, 0.1).</span>
-<span class="sd"> mean (float, optional): mean of normal distribution. Defaults to 0.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-
-
-<span class="sd"> Targets:</span>
-<span class="sd"> image</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">var_limit</span><span class="p">:</span> <span class="nb">tuple</span> <span class="o">=</span> <span class="p">(</span><span class="mf">0.001</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">),</span> <span class="n">mean</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">var_limit</span> <span class="o">=</span> <span class="n">var_limit</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mean</span> <span class="o">=</span> <span class="n">mean</span>
-
-<div class="viewcode-block" id="GaussianNoise.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianNoise.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">gauss</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">gaussian_noise</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">gauss</span><span class="o">=</span><span class="n">gauss</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="GaussianNoise.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianNoise.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="n">image</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">"image"</span><span class="p">]</span>
- <span class="n">var</span> <span class="o">=</span> <span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">var_limit</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">var_limit</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
- <span class="n">sigma</span> <span class="o">=</span> <span class="n">var</span> <span class="o">**</span> <span class="mf">0.5</span>
- <span class="n">gauss</span> <span class="o">=</span> <span class="n">normal</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="n">sigma</span><span class="p">,</span> <span class="n">image</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
- <span class="k">return</span> <span class="p">{</span><span class="s2">"gauss"</span><span class="p">:</span> <span class="n">gauss</span><span class="p">}</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'GaussianNoise(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">var_limit</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">mean</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<span class="c1">#TODO anti_aliasing_downsample keep parameter or remove?</span>
-<div class="viewcode-block" id="Resize"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Resize">[docs]</a><span class="k">class</span> <span class="nc">Resize</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Resize input to the given shape.</span>
-
-<span class="sd"> Resize input using skimage resize function. Shape is expected without channel dimensions. If there is one less dimension,</span>
-<span class="sd"> than expected then size of last dimension(time) is unchanged. Interpolation, border_mode, ival, mval and anti_aliasing_downsample</span>
-<span class="sd"> are arguments for https://scikit-image.org/docs/stable/api/skimage.transform.html#skimage.transform.resize </span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> shape (tuple of ints): shape of desired image without channel dimension. If inputed with one less dimensions,</span>
-<span class="sd"> it is expected that it is time dimensions and is copied from image.</span>
-<span class="sd"> interpolation (int, optional): order of spline interpolation for image. Defaults to 1.</span>
-<span class="sd"> border_mode (string, optional): points outside image are filled according to the this mode. Defaults to 'reflect'.</span>
-<span class="sd"> ival (float, optional): value outside of image when the border_mode is chosen to be "constant". Defaults to 0.</span>
-<span class="sd"> mval (float, optional): value outside of mask when the border_mode is chosen to be "constant". Defaults to 0.</span>
-<span class="sd"> anti_aliasing_downsample (bool, optional): controls if the gaussian filter should be used on image before downsampling, recommended. Defaults to True.</span>
-<span class="sd"> ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </span>
-<span class="sd"> border_mode = "constant" and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 1.</span>
-
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">shape</span><span class="p">:</span> <span class="nb">tuple</span><span class="p">,</span> <span class="n">interpolation</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">border_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'reflect'</span><span class="p">,</span> <span class="n">ival</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">mval</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">anti_aliasing_downsample</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">ignore_index</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">1</span><span class="p">):</span>
-
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="n">shape</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span> <span class="o">=</span> <span class="n">interpolation</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">ival</span> <span class="o">=</span> <span class="n">ival</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">mval</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">anti_aliasing_downsample</span> <span class="o">=</span> <span class="n">anti_aliasing_downsample</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">ignore_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="s2">"constant"</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">ignore_index</span>
-
-<div class="viewcode-block" id="Resize.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Resize.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">resize</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">input_new_shape</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="p">,</span>
- <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="n">cval</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="p">,</span> <span class="n">anti_aliasing_downsample</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">anti_aliasing_downsample</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="Resize.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Resize.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">resize</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">input_new_shape</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
- <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span><span class="p">,</span> <span class="n">cval</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="p">,</span> <span class="n">anti_aliasing_downsample</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
- <span class="n">mask</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'Resize(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="si">}</span><span class="s1"> , </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">anti_aliasing_downsample</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="Scale"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Scale">[docs]</a><span class="k">class</span> <span class="nc">Scale</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Rescale input by the given scale.</span>
-
-<span class="sd"> Rescaling is done by function zoom from scipy. If scale_factor is float, spatial dimensions are scaled by this number.</span>
-<span class="sd"> If it is list, then it is expected without channel dimensions. If there is one less dimension, than expected then size of last dimensions(time) is unchanged.</span>
-<span class="sd"> Check https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.zoom.html for additional arguments.</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> scale_factor (float|List[float], optional): Value by which the input should be scaled. If </span>
-<span class="sd"> there is single value, then all spatial dimensions are scaled by it. If </span>
-<span class="sd"> input is list then all dimensions except for channel one are scaled by it. If </span>
-<span class="sd"> there is one less dimensions then last dimension(time) is not scaled. Defaults to 1.</span>
-<span class="sd"> interpolation (int, optional): order of spline interpolation for image.. Defaults to 1.</span>
-<span class="sd"> border_mode (str, optional): points outside image are filled according to the this mode. Defaults to 'reflect'.</span>
-<span class="sd"> ival (float, optional): value outside of image when the border_mode is chosen to be "constant". Defaults to 0.</span>
-<span class="sd"> mval (float, optional): value outside of mask when the border_mode is chosen to be "constant". Defaults to 0.</span>
-<span class="sd"> ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </span>
-<span class="sd"> border_mode = "constant" and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 1.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">scale_factor</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]]</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">interpolation</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span> <span class="n">border_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'reflect'</span><span class="p">,</span>
- <span class="n">ival</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">mval</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">ignore_index</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">scale_factor</span> <span class="o">=</span> <span class="n">scale_factor</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span> <span class="o">=</span> <span class="n">interpolation</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">ival</span> <span class="o">=</span> <span class="n">ival</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">mval</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">ignore_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="s2">"constant"</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">ignore_index</span>
-
-<div class="viewcode-block" id="Scale.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Scale.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">scale</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">input_scale_factor</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_factor</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="p">,</span>
- <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="n">cval</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="Scale.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Scale.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">scale</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">input_scale_factor</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_factor</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
- <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span><span class="p">,</span> <span class="n">cval</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'Scale(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_factor</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="RandomScale"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomScale">[docs]</a><span class="k">class</span> <span class="nc">RandomScale</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Randomly rescale input by the given scale.</span>
-
-<span class="sd"> Under the hood, https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.zoom.html is being used.</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> scale_limit (float | Tuple[float] | List[Tuple[float]], optional): Value by which the input should be scaled. </span>
-<span class="sd"> If there is single value, then all spatial dimensions are scaled by it. </span>
-<span class="sd"> If input is tuple, it creates interval from which the single value for scaling will be chosen. </span>
-<span class="sd"> If input is list it should have length of number axes of input - 1 (- channel dimension) and </span>
-<span class="sd"> contains tuple of 2 elements. All dimensions except for channel one </span>
-<span class="sd"> are scaled by the number from the interval given by tuple. If there is one less dimensions then</span>
-<span class="sd"> last dimension(time) is not scaled. Defaults to (0.9, 1.1).</span>
-<span class="sd"> interpolation (int, optional): order of spline interpolation for image. Defaults to 1.</span>
-<span class="sd"> border_mode (str, optional): points outside image are filled according to the this mode.. Defaults to 'reflect'.</span>
-<span class="sd"> ival (float, optional): value outside of image when the border_mode is chosen to be "constant". Defaults to 0.</span>
-<span class="sd"> mval (float, optional): value outside of mask when the border_mode is chosen to be "constant". Defaults to 0.</span>
-<span class="sd"> ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </span>
-<span class="sd"> border_mode = "constant" and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">scale_limit</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">]]]</span> <span class="o">=</span> <span class="p">(</span><span class="mf">0.9</span><span class="p">,</span> <span class="mf">1.1</span><span class="p">),</span> <span class="n">interpolation</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
- <span class="n">border_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'reflect'</span><span class="p">,</span> <span class="n">ival</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">mval</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">ignore_index</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span> <span class="o">=</span> <span class="n">scale_limit</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span> <span class="o">=</span> <span class="n">interpolation</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">ival</span> <span class="o">=</span> <span class="n">ival</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">mval</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">ignore_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="s2">"constant"</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">ignore_index</span>
-
-<div class="viewcode-block" id="RandomScale.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomScale.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="n">scale</span> <span class="o">=</span> <span class="kc">None</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">)):</span>
- <span class="n">tuple_scale_limit</span> <span class="o">=</span> <span class="n">to_tuple</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
- <span class="n">scale</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="n">tuple_scale_limit</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">tuple_scale_limit</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
-
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
- <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">2</span><span class="p">:</span>
- <span class="n">warn</span><span class="p">(</span><span class="sa">f</span><span class="s2">"RandomScale(): scale_limit : </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="si">}</span><span class="s2"> tuple should contain exactly 2 elements. "</span><span class="p">,</span> <span class="ne">UserWarning</span><span class="p">)</span>
- <span class="n">scale</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
-
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">scale</span> <span class="o">=</span> <span class="p">[]</span>
- <span class="k">for</span> <span class="n">dimension</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="p">:</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dimension</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
- <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">dimension</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">2</span><span class="p">:</span>
- <span class="n">warn</span><span class="p">(</span><span class="sa">f</span><span class="s2">"RandomScale(): scale_limit : </span><span class="si">{</span><span class="n">dimension</span><span class="si">}</span><span class="s2"> tuple should contain exactly 2 elements. "</span><span class="p">,</span> <span class="ne">UserWarning</span><span class="p">)</span>
- <span class="n">scale</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="n">dimension</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">dimension</span><span class="p">[</span><span class="mi">1</span><span class="p">]))</span>
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dimension</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span> <span class="nb">int</span><span class="p">)):</span>
- <span class="n">tuple_scale</span> <span class="o">=</span> <span class="n">to_tuple</span><span class="p">(</span><span class="n">dimension</span><span class="p">,</span> <span class="n">bias</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
- <span class="n">scale</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="n">tuple_scale</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">tuple_scale</span><span class="p">[</span><span class="mi">1</span><span class="p">]))</span>
-
- <span class="k">else</span><span class="p">:</span>
- <span class="n">warn</span><span class="p">(</span><span class="sa">f</span><span class="s2">"RandomScale(): scale_limit : </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="si">}</span><span class="s2"> List contains something different than float or tuple. Scaling with 1. "</span><span class="p">,</span> <span class="ne">UserWarning</span><span class="p">)</span>
- <span class="n">scale</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
-
- <span class="k">if</span> <span class="n">scale</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">warn</span><span class="p">(</span><span class="sa">f</span><span class="s2">"RandomScale(): scale_limit : </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="si">}</span><span class="s2"> is not a tuple or List. "</span><span class="p">,</span> <span class="ne">UserWarning</span><span class="p">)</span>
- <span class="c1">#Negative scaling factor check</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">scale</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span><span class="nb">int</span><span class="p">)):</span>
- <span class="k">if</span> <span class="n">scale</span> <span class="o"><=</span> <span class="mi">0</span><span class="p">:</span>
- <span class="n">warn</span><span class="p">(</span><span class="sa">f</span><span class="s2">"RandomScale(): scaling factor: </span><span class="si">{</span><span class="n">scale</span><span class="si">}</span><span class="s2"> would be negative or zero, changing it to 1. "</span><span class="p">,</span> <span class="ne">UserWarning</span><span class="p">)</span>
- <span class="n">scale</span> <span class="o">=</span> <span class="mi">1</span>
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">scale</span><span class="p">,</span> <span class="n">List</span><span class="p">):</span>
- <span class="k">for</span> <span class="n">i</span><span class="p">,</span><span class="n">dimension</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">scale</span><span class="p">):</span>
- <span class="k">if</span> <span class="n">dimension</span> <span class="o"><=</span> <span class="mi">0</span><span class="p">:</span>
- <span class="n">warn</span><span class="p">(</span><span class="sa">f</span><span class="s2">"RandomScale(): Part of scaling factor: </span><span class="si">{</span><span class="n">scale</span><span class="si">}</span><span class="s2"> would be negative, changing it to 1. "</span><span class="p">,</span> <span class="ne">UserWarning</span><span class="p">)</span>
- <span class="n">scale</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="mi">1</span>
-
- <span class="k">return</span> <span class="p">{</span><span class="s2">"scale"</span><span class="p">:</span> <span class="n">scale</span><span class="p">}</span></div>
-
-<div class="viewcode-block" id="RandomScale.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomScale.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">scale</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">scale</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">input_scale_factor</span><span class="o">=</span><span class="n">scale</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="p">,</span> <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="n">cval</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="p">,</span>
- <span class="n">mask</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="RandomScale.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomScale.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">scale</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">scale</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">input_scale_factor</span><span class="o">=</span><span class="n">scale</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span><span class="p">,</span> <span class="n">cval</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="p">,</span>
- <span class="n">mask</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'RandomScale(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">scale_limit</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="RandomRotate90"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomRotate90">[docs]</a><span class="k">class</span> <span class="nc">RandomRotate90</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Rotation of input by 0/90/180/270 degrees in spatial dimensions.</span>
-
-<span class="sd"> Input is being rotated around the specified axes. For example if axes = [3,2], </span>
-<span class="sd"> then input is rotated around 3 axis (1 and 2 axes are changing)</span>
-<span class="sd"> and afterwards it is rotated around 2 axis(1 and 3 axes are changing).</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> axes (List[int], optional): list of axes around which input is rotated and also determines </span>
-<span class="sd"> order if shuffle_axis is false. Ignoring axes which are not in this list [1,2,3]. </span>
-<span class="sd"> Number in axes do not need to be unique. Defaults to [1, 2, 3].</span>
-<span class="sd"> shuffle_axis (bool, optional): If set to True, order of rotations is random. Defaults to False.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axes</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">shuffle_axis</span> <span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="o">=</span> <span class="n">axes</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">shuffle_axis</span> <span class="o">=</span> <span class="n">shuffle_axis</span>
-
-<div class="viewcode-block" id="RandomRotate90.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomRotate90.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">rotation_around</span><span class="p">,</span> <span class="n">factor</span><span class="p">):</span>
- <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">rotation_around</span><span class="p">)):</span>
- <span class="n">img</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">rot90</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">factor</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">axes</span><span class="o">=</span><span class="n">rotation_around</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
- <span class="k">return</span> <span class="n">img</span></div>
-
-<div class="viewcode-block" id="RandomRotate90.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomRotate90.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">rotation_around</span><span class="p">,</span> <span class="n">factor</span><span class="p">):</span>
- <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">rotation_around</span><span class="p">)):</span>
- <span class="n">mask</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">rot90</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">factor</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="n">axes</span><span class="o">=</span><span class="p">(</span>
- <span class="n">rotation_around</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="mi">1</span><span class="p">,</span> <span class="n">rotation_around</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="mi">1</span><span class="p">))</span>
- <span class="k">return</span> <span class="n">mask</span></div>
-
-<div class="viewcode-block" id="RandomRotate90.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomRotate90.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="c1"># Create all combinations for rotating + randomly shuffle</span>
- <span class="c1"># TODO what if self.axes == None</span>
- <span class="c1"># TODO add check if the axes are not exceeding dimensions + are they rotating channels?</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]</span>
- <span class="n">axes_to_rotate</span> <span class="o">=</span> <span class="p">{</span><span class="mi">1</span> <span class="p">:</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">),</span> <span class="mi">2</span><span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">3</span><span class="p">),</span> <span class="mi">3</span> <span class="p">:</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">)}</span>
- <span class="n">rotation_around</span> <span class="o">=</span> <span class="p">[]</span>
- <span class="n">allowed_axes</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]</span>
- <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">:</span>
- <span class="k">if</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">allowed_axes</span><span class="p">:</span>
- <span class="n">rotation_around</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">axes_to_rotate</span><span class="p">[</span><span class="n">i</span><span class="p">])</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">shuffle_axis</span><span class="p">:</span>
- <span class="n">random</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">rotation_around</span><span class="p">)</span>
- <span class="n">factor</span> <span class="o">=</span> <span class="p">[</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">rotation_around</span><span class="p">))]</span>
- <span class="k">return</span> <span class="p">{</span><span class="s2">"factor"</span><span class="p">:</span> <span class="n">factor</span><span class="p">,</span>
- <span class="s2">"rotation_around"</span><span class="p">:</span> <span class="n">rotation_around</span><span class="p">}</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'RandomRotate90(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="Flip"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Flip">[docs]</a><span class="k">class</span> <span class="nc">Flip</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Flips input around specified axes. </span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> axes (List[int], optional): List of axes around which is flip done. Defaults to [1,2,3].</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 1.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axes</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">],</span> <span class="n">always_apply</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="o">=</span> <span class="n">axes</span>
-
-<div class="viewcode-block" id="Flip.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Flip.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">axes</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">flip</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">axes</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="Flip.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Flip.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">axes</span><span class="p">):</span>
- <span class="c1"># Mask has no dimension channel</span>
- <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">flip</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">[</span><span class="n">item</span> <span class="o">-</span> <span class="mi">1</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">axes</span><span class="p">])</span></div>
-
-<div class="viewcode-block" id="Flip.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Flip.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">axes</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">axes</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span>
- <span class="k">return</span> <span class="p">{</span><span class="s2">"axes"</span><span class="p">:</span> <span class="n">axes</span><span class="p">}</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'Flip(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="RandomFlip"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomFlip">[docs]</a><span class="k">class</span> <span class="nc">RandomFlip</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Flips a input around a tuple of axes randomly chosen from the input list of axis combinations.</span>
-
-<span class="sd"> If axes_to_choose to choose is None, random subset of spatial axes is chosen.</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> </span>
-<span class="sd"> axes_to_choose (List[Tuple[int]] or None, optional): Randomly chooses tuple of axes from list around </span>
-<span class="sd"> which to flip input. If None then a random subset of spatial axes is chosen. Defaults to None.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">axes_to_choose</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">always_apply</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="mf">0.5</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="o">=</span> <span class="n">axes_to_choose</span>
-
-<div class="viewcode-block" id="RandomFlip.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomFlip.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">axes</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">flip</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">axes</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="RandomFlip.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomFlip.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">axes</span><span class="p">):</span>
- <span class="c1"># Mask has no dimension channel</span>
- <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">flip</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="p">[</span><span class="n">item</span> <span class="o">-</span> <span class="mi">1</span> <span class="k">for</span> <span class="n">item</span> <span class="ow">in</span> <span class="n">axes</span><span class="p">])</span></div>
-
-<div class="viewcode-block" id="RandomFlip.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomFlip.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
-
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
- <span class="c1"># Pick random combination of axes to flip</span>
- <span class="n">combinations</span> <span class="o">=</span> <span class="p">[(</span><span class="mi">1</span><span class="p">,),</span> <span class="p">(</span><span class="mi">2</span><span class="p">,),</span> <span class="p">(</span><span class="mi">3</span><span class="p">,),</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span>
- <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">)]</span>
- <span class="n">axes</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">combinations</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="c1"># Pick a random choice from input</span>
- <span class="n">axes</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">)</span>
- <span class="k">return</span> <span class="p">{</span><span class="s2">"axes"</span><span class="p">:</span> <span class="n">axes</span><span class="p">}</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'Flip(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="CenterCrop"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.CenterCrop">[docs]</a><span class="k">class</span> <span class="nc">CenterCrop</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Crops center region of the input. Size of this crop is given by shape.</span>
-<span class="sd"> </span>
-<span class="sd"> Unlike CenterCrop from Albumentations, this transform pads the input in dimensions </span>
-<span class="sd"> where the input is smaller than the crop-shape with numpy.pad, for which are border_mode, ival and mval.</span>
-
-<span class="sd"> https://numpy.org/doc/stable/reference/generated/numpy.pad.html</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> shape (Tuple[int]) Final shape of input, expected without first axis of image (representing channels): </span>
-<span class="sd"> border_mode (str, optional): border mode used for numpy.pad. Defaults to "reflect".</span>
-<span class="sd"> ival (Tuple[float], optional): values used for 'constant' or 'linear_ramp' for image. Defaults to (0, 0).</span>
-<span class="sd"> mval (Tuple[float], optional): values used for 'constant' or 'linear_ramp' for mask. Defaults to (0, 0).</span>
-<span class="sd"> ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </span>
-<span class="sd"> border_mode = "constant" and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 1.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">shape</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span> <span class="n">border_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"reflect"</span><span class="p">,</span> <span class="n">ival</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sequence</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span>
- <span class="n">mval</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sequence</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="n">ignore_index</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">intc</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">ival</span> <span class="o">=</span> <span class="n">ival</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">mval</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">ignore_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="s2">"constant"</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">ignore_index</span>
-
-
-<div class="viewcode-block" id="CenterCrop.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.CenterCrop.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">center_crop</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="CenterCrop.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.CenterCrop.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">center_crop</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'CenterCrop(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="RandomCrop"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomCrop">[docs]</a><span class="k">class</span> <span class="nc">RandomCrop</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Randomly crops region from input. Size of this crop is given by shape.</span>
-
-<span class="sd"> Unlike RandomCrop from Albumentations, this transform pads the input in dimensions </span>
-<span class="sd"> where the input is smaller than the crop-shape with numpy.pad, for which are border_mode, ival and mval.</span>
-
-
-
-<span class="sd"> Args:</span>
-<span class="sd"> shape (Tuple[int]) Final shape of input, expected without first axis of image (representing channels): </span>
-<span class="sd"> border_mode (str, optional): border mode used for numpy.pad. Defaults to "reflect".</span>
-<span class="sd"> ival (Tuple[float], optional): values used for 'constant' or 'linear_ramp' for image. Defaults to (0, 0).</span>
-<span class="sd"> mval (Tuple[float], optional): values used for 'constant' or 'linear_ramp' for mask. Defaults to (0, 0).</span>
-<span class="sd"> ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </span>
-<span class="sd"> border_mode = "constant" and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 1.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">shape</span><span class="p">:</span> <span class="nb">tuple</span><span class="p">,</span> <span class="n">border_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"reflect"</span><span class="p">,</span> <span class="n">ival</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sequence</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span>
- <span class="n">mval</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Sequence</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">),</span> <span class="n">ignore_index</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">shape</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">shape</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">intc</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">ival</span> <span class="o">=</span> <span class="n">ival</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">mval</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">ignore_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="s2">"constant"</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">ignore_index</span>
-
-<div class="viewcode-block" id="RandomCrop.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomCrop.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">crop_start</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">random_crop</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">crop_start</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="p">,</span> <span class="n">mask</span> <span class="o">=</span> <span class="kc">False</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="RandomCrop.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomCrop.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">crop_start</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">((</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">))):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">random_crop</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span> <span class="n">crop_start</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="p">,</span> <span class="n">mask</span> <span class="o">=</span> <span class="kc">True</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="RandomCrop.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomCrop.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
-
- <span class="k">return</span> <span class="p">{</span>
- <span class="s2">"crop_start"</span><span class="p">:</span> <span class="p">[</span><span class="n">random</span><span class="o">.</span><span class="n">random</span><span class="p">()</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="p">))]</span>
- <span class="p">}</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'RandomCrop(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<span class="c1">#TODO translate, posuva aj cez casovu dimenziu. Pricom scaling_coef nie. Preto otázka ci to omezit or not.</span>
-<div class="viewcode-block" id="AffineTransform"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.AffineTransform">[docs]</a><span class="k">class</span> <span class="nc">AffineTransform</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Rotation around spatial axes.</span>
-
-<span class="sd"> Rotation around each axis is chosen randomly from given interval in angle_limit. If a float X is given instead of </span>
-<span class="sd"> for given axis then it becomes interval [-X, X]. If scaling_coef is used, it should be list with length equal 3. </span>
-<span class="sd"> For closer clook at the interpolation, border_mode, ival and mval take a look at the scipy.ndimage.affine_transform.</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> angle_limit (List[Tuple[float] | float], optional): Contains intervals in degrees from which angle of rotation is </span>
-<span class="sd"> chosen, for corresponding axis. Defaults to [(-15, 15),(-15, 15),(-15, 15)].</span>
-<span class="sd"> translantion_limit (List[Tuple[int], | int] | None, optional): List of length equal to the number of axes -1</span>
-<span class="sd"> (minus channel), each element controls translation in this axis. This list consists of intervals,</span>
-<span class="sd"> from which, it is then randomly chosen the translation vector. Defaults to None.</span>
-<span class="sd"> scaling_coef (List[float] | None, optional): List which contains scaling coefficients to make </span>
-<span class="sd"> the image data isotropic in spatial dimensions. Length of list needs to be 3(number of spatial axes)</span>
-<span class="sd"> as only spatial dimensions are scaled. If scaling_coef is set to None, there is no scalling.</span>
-<span class="sd"> Recommended for anisotropic data and if one of spatial axis have significantly lower amount of</span>
-<span class="sd"> samples. Defaults to None.</span>
-<span class="sd"> scale_back (bool, optional): If scaling_coef is not None, then image is scaled back, to be anisotropic. Defaults to True.</span>
-<span class="sd"> interpolation (Int, optional): The order of spline interpolation. Defaults to 1.</span>
-<span class="sd"> border_mode (str, optional): The mode parameter determines how the input array is extended beyond its boundaries. Defaults to 'constant'.</span>
-<span class="sd"> ival (float, optional): Value to fill past edges of image if mode is 'constant'. Defaults to 0.</span>
-<span class="sd"> mval (float, optional): Value to fill past edges of mask if mode is 'constant'. Defaults to 0.</span>
-<span class="sd"> ignore_index ( float | None, optional): If ignore_index is float, then transformation of mask is done with </span>
-<span class="sd"> border_mode = "constant" and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">angle_limit</span> <span class="p">:</span> <span class="n">List</span><span class="p">[</span> <span class="n">Union</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="p">,</span> <span class="nb">float</span><span class="p">]]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">15</span><span class="p">,</span><span class="mi">15</span><span class="p">,</span><span class="mi">15</span><span class="p">]</span> <span class="p">,</span>
- <span class="n">translantion_limit</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="n">Union</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span> <span class="nb">int</span><span class="p">]],</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">scaling_coef</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">scale_back</span> <span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">interpolation</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
- <span class="n">border_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'reflect'</span><span class="p">,</span> <span class="n">ival</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">mval</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">ignore_index</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">translantion_limit</span> <span class="o">=</span> <span class="n">translantion_limit</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">scaling_coef</span> <span class="o">=</span> <span class="n">scaling_coef</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span> <span class="o">=</span> <span class="n">interpolation</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">ival</span> <span class="o">=</span> <span class="n">ival</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">mval</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">scale_back</span> <span class="o">=</span> <span class="n">scale_back</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">ignore_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="s2">"constant"</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">ignore_index</span>
-
- <span class="c1">#if user adds tuple instead of list.</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">angle_limit</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">angle_limit</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span> <span class="o">=</span> <span class="n">angle_limit</span>
-
-
-
-<div class="viewcode-block" id="AffineTransform.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.AffineTransform.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">z</span><span class="p">,</span> <span class="n">translate</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">affine_transform</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">z</span><span class="p">,</span> <span class="n">translate</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="p">,</span> <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span>
- <span class="n">value</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="p">,</span> <span class="n">input_scaling_coef</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">scaling_coef</span><span class="p">,</span> <span class="n">scale_back</span><span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">scale_back</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="AffineTransform.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.AffineTransform.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">z</span><span class="p">,</span> <span class="n">translate</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">affine_transform</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">z</span><span class="p">,</span> <span class="n">translate</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="p">,</span>
- <span class="n">input_scaling_coef</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">scaling_coef</span><span class="p">,</span> <span class="n">scale_back</span><span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">scale_back</span><span class="p">,</span> <span class="n">mask</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="AffineTransform.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.AffineTransform.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="k">for</span> <span class="n">number</span><span class="p">,</span><span class="n">axis</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span><span class="p">):</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">axis</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span><span class="nb">int</span><span class="p">)):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span><span class="p">[</span><span class="n">number</span><span class="p">]</span> <span class="o">=</span> <span class="n">to_tuple</span><span class="p">(</span><span class="n">axis</span><span class="p">)</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">translantion_limit</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">translate</span> <span class="o">=</span> <span class="kc">None</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">translate</span> <span class="o">=</span> <span class="p">[</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">translantion_limit</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">translantion_limit</span><span class="p">[</span><span class="n">i</span><span class="p">][</span><span class="mi">1</span><span class="p">])</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">translantion_limit</span><span class="p">[</span><span class="n">i</span><span class="p">],(</span><span class="nb">tuple</span><span class="p">,</span><span class="nb">list</span><span class="p">))</span>
- <span class="k">else</span> <span class="bp">self</span><span class="o">.</span><span class="n">translantion_limit</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">translantion_limit</span><span class="p">))]</span>
- <span class="k">return</span> <span class="p">{</span>
- <span class="s2">"x"</span><span class="p">:</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">1</span><span class="p">]),</span>
- <span class="s2">"y"</span><span class="p">:</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span><span class="p">[</span><span class="mi">1</span><span class="p">][</span><span class="mi">1</span><span class="p">]),</span>
- <span class="s2">"z"</span><span class="p">:</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span><span class="p">[</span><span class="mi">2</span><span class="p">][</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">angle_limit</span><span class="p">[</span><span class="mi">2</span><span class="p">][</span><span class="mi">1</span><span class="p">]),</span>
- <span class="s2">"translate"</span> <span class="p">:</span> <span class="n">translate</span>
- <span class="p">}</span></div></div>
-
-<span class="c1"># TODO create checks (mean, std, got good shape, and etc.), what if given list but only one channel, and reverse.</span>
-<div class="viewcode-block" id="NormalizeMeanStd"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd">[docs]</a><span class="k">class</span> <span class="nc">NormalizeMeanStd</span><span class="p">(</span><span class="n">ImageOnlyTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Normalization of image by given mean and std.</span>
-
-<span class="sd"> For a single channel image normalization is applied by the formula :math:`img = (img - mean) / std`.</span>
-<span class="sd"> </span>
-<span class="sd"> If image contains more channels, then for each channel previous formula is used.</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> mean (float | List[float]): Mean of image. If there are more channels, then it should be list of means for each channel.</span>
-<span class="sd"> std (float | List[float]): Std of image. If there are more channels, then it should be list of stds for each channel.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 1.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mean</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">float</span><span class="p">],</span> <span class="n">std</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">float</span><span class="p">],</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">NormalizeMeanStd</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">mean</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">std</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">denominator</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reciprocal</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">std</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
-
-<div class="viewcode-block" id="NormalizeMeanStd.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">image</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">normalize_mean_std</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">denominator</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'NormalizeMeanStd(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">mean</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">std</span><span class="si">}</span><span class="s1">, '</span> \
- <span class="sa">f</span><span class="s1">' </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="GaussianBlur"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianBlur">[docs]</a><span class="k">class</span> <span class="nc">GaussianBlur</span><span class="p">(</span><span class="n">ImageOnlyTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Performs gaussian blur on the image.</span>
-
-<span class="sd"> Sigma parameter determines the strength of gaussian blur. There is no blurring between channels. </span>
-<span class="sd"> By default there is no blurring also on time dimension. If given single number, channels and axes are blurred </span>
-<span class="sd"> with same strength. If given tuple, blurring is performed with same effect over channels, but on each axis differently.</span>
-<span class="sd"> If given List, each channel is blurred differently, according to the element inside list.</span>
-
-<span class="sd"> For more information about border_mode and cval check scipy.ndimage.gaussian_filter.</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> sigma (float, Tuple(float), List[Tuple(float) | float] , optional): Determines strength of the blurring. </span>
-<span class="sd"> List must have length equal to the number of channels. Tuple should have same number elements as number of axes - 1. Defaults to 0.8.</span>
-<span class="sd"> border_mode (str, optional): The mode parameter determines how the input array is extended beyond its boundaries. Defaults to "reflect".</span>
-<span class="sd"> cval (float, optional): Value to fill past edges of image if mode is 'constant'. Defaults to 0.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">sigma</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span> <span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span> <span class="n">Union</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">float</span><span class="p">]]]</span> <span class="o">=</span> <span class="mf">0.8</span><span class="p">,</span> <span class="n">border_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"reflect"</span><span class="p">,</span> <span class="n">cval</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">):</span>
-
- <span class="nb">super</span><span class="p">(</span><span class="n">GaussianBlur</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">sigma</span> <span class="o">=</span> <span class="n">sigma</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">cval</span> <span class="o">=</span> <span class="n">cval</span>
-
-<div class="viewcode-block" id="GaussianBlur.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianBlur.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">gaussian_blur</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sigma</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">cval</span><span class="p">)</span></div></div>
-
-<div class="viewcode-block" id="RandomGaussianBlur"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur">[docs]</a><span class="k">class</span> <span class="nc">RandomGaussianBlur</span><span class="p">(</span><span class="n">ImageOnlyTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Performs gaussian blur on the image with a random strength blurring.</span>
-
-<span class="sd"> Behaves similarly to GaussianBlur, sigma has same format, but each number in sigma creates </span>
-<span class="sd"> interval [start_of_interval, sigma_number], from which random number is chosen. </span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> sigma (float, Tuple(float), List[Tuple(float) | float, optional): Determines end of interval from which strength of blurring is chosen. Defaults to 0.8.</span>
-<span class="sd"> start_of_interval (float, optional): Determines start of interval from which strength of blurring is chosen. Defaults to 0.</span>
-<span class="sd"> border_mode (str, optional): The mode parameter determines how the input array is extended beyond its boundaries. Defaults to "reflect".</span>
-<span class="sd"> cval (float, optional): Value to fill past edges of image if mode is 'constant'. Defaults to 0.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">max_sigma</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span> <span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span> <span class="n">Union</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">],</span> <span class="nb">float</span><span class="p">]]]</span> <span class="o">=</span> <span class="mf">0.8</span><span class="p">,</span> <span class="n">start_of_interval</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span> <span class="p">,</span> <span class="n">border_mode</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"reflect"</span><span class="p">,</span> <span class="n">cval</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">RandomGaussianBlur</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">sigma</span> <span class="o">=</span> <span class="n">max_sigma</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">start_of_interval</span> <span class="o">=</span> <span class="n">start_of_interval</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">cval</span> <span class="o">=</span> <span class="n">cval</span>
-
-<div class="viewcode-block" id="RandomGaussianBlur.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">sigma</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">gaussian_blur</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">sigma</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">cval</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="RandomGaussianBlur.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sigma</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span><span class="nb">int</span><span class="p">)):</span>
- <span class="n">sigma</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">start_of_interval</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sigma</span><span class="p">)</span>
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sigma</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">):</span>
- <span class="n">sigma</span> <span class="o">=</span> <span class="nb">tuple</span><span class="p">([</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">start_of_interval</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">sigma</span><span class="p">[</span><span class="n">i</span><span class="p">])</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">sigma</span><span class="p">))])</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">sigma</span> <span class="o">=</span> <span class="p">[]</span>
- <span class="k">for</span> <span class="n">channel</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">sigma</span><span class="p">:</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">channel</span><span class="p">,</span> <span class="p">(</span><span class="nb">float</span><span class="p">,</span><span class="nb">int</span><span class="p">)):</span>
- <span class="n">sigma</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">start_of_interval</span><span class="p">,</span> <span class="n">channel</span><span class="p">))</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">sigma</span><span class="o">.</span><span class="n">append</span><span class="p">(</span> <span class="nb">tuple</span><span class="p">([</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">start_of_interval</span><span class="p">,</span> <span class="n">channel</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">channel</span><span class="p">))]))</span>
- <span class="k">return</span> <span class="p">{</span><span class="s2">"sigma"</span><span class="p">:</span> <span class="n">sigma</span><span class="p">}</span></div></div>
-
-<div class="viewcode-block" id="RandomGamma"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGamma">[docs]</a><span class="k">class</span> <span class="nc">RandomGamma</span><span class="p">(</span><span class="n">ImageOnlyTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Performs gamma transform with a randomly selected gamma.</span>
-
-<span class="sd"> Gamma is randomly selected from interval given by gamma_limit. If the values in image are not in [0,1] interval</span>
-<span class="sd"> then this transformation is skipped.</span>
-
-
-<span class="sd"> Args:</span>
-<span class="sd"> gamma_limit (Tuple(float), optional): Interval from which gamma is selected. Defaults to (0.8, 1.20).</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">gamma_limit</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">float</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mf">0.8</span><span class="p">,</span> <span class="mf">1.20</span><span class="p">),</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">RandomGamma</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">gamma_limit</span> <span class="o">=</span> <span class="n">gamma_limit</span>
-
-<div class="viewcode-block" id="RandomGamma.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGamma.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">gamma</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">gamma_transform</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">gamma</span><span class="o">=</span><span class="n">gamma</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="RandomGamma.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGamma.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="k">return</span> <span class="p">{</span><span class="s2">"gamma"</span><span class="p">:</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">gamma_limit</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">gamma_limit</span><span class="p">[</span><span class="mi">1</span><span class="p">])}</span></div>
-
-<div class="viewcode-block" id="RandomGamma.get_transform_init_args_names"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGamma.get_transform_init_args_names">[docs]</a> <span class="k">def</span> <span class="nf">get_transform_init_args_names</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="p">(</span><span class="s2">"gamma_limit"</span><span class="p">,</span> <span class="s2">"eps"</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'RandomGamma(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">gamma_limit</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">eps</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="RandomBrightnessContrast"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast">[docs]</a><span class="k">class</span> <span class="nc">RandomBrightnessContrast</span><span class="p">(</span><span class="n">ImageOnlyTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Randomly change brightness and contrast of the input image.</span>
-
-<span class="sd"> Unlike RandomBrightnessContrast from Albumentations, this transform is using</span>
-<span class="sd"> formula :math:`f(a) = (c+1) * a + b`, where c is contrast and b is brightness.</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> brightness_limit ((float, float) | float, optional): Interval from which change in brightness is taken.</span>
-<span class="sd"> If limit is a single float, the interval will be (-limit, limit). If change in brightness is 0,</span>
-<span class="sd"> brightness won`t change. Defaults to 0.2.</span>
-<span class="sd"> contrast_limit ((float, float) | float, optional): Interval from which change in contrast is taken.</span>
-<span class="sd"> If limit is a single float, the interval will be (-limit, limit). If change in contrast is 0,</span>
-<span class="sd"> contrast won`t change. Defaults to 0.2.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">brightness_limit</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">contrast_limit</span><span class="o">=</span><span class="mf">0.2</span><span class="p">,</span> <span class="n">always_apply</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">RandomBrightnessContrast</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">brightness_limit</span> <span class="o">=</span> <span class="n">to_tuple</span><span class="p">(</span><span class="n">brightness_limit</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">contrast_limit</span> <span class="o">=</span> <span class="n">to_tuple</span><span class="p">(</span><span class="n">contrast_limit</span><span class="p">)</span>
-
-<div class="viewcode-block" id="RandomBrightnessContrast.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">1.0</span><span class="p">,</span> <span class="n">beta</span><span class="o">=</span><span class="mf">0.0</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">brightness_contrast_adjust</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">alpha</span><span class="p">,</span> <span class="n">beta</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="RandomBrightnessContrast.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="k">return</span> <span class="p">{</span>
- <span class="s2">"alpha"</span><span class="p">:</span> <span class="mf">1.0</span> <span class="o">+</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">contrast_limit</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">contrast_limit</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span>
- <span class="s2">"beta"</span><span class="p">:</span> <span class="mf">0.0</span> <span class="o">+</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">brightness_limit</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="bp">self</span><span class="o">.</span><span class="n">brightness_limit</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span>
- <span class="p">}</span></div>
-
-<div class="viewcode-block" id="RandomBrightnessContrast.get_transform_init_args_names"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.get_transform_init_args_names">[docs]</a> <span class="k">def</span> <span class="nf">get_transform_init_args_names</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="p">(</span><span class="s2">"brightness_limit"</span><span class="p">,</span> <span class="s2">"contrast_limit"</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'RandomBrightnessContrast(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">brightness_limit</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">contrast_limit</span><span class="si">}</span><span class="s1">, '</span> \
- <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="HistogramEqualization"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.HistogramEqualization">[docs]</a><span class="k">class</span> <span class="nc">HistogramEqualization</span><span class="p">(</span><span class="n">ImageOnlyTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Performs equalization of histogram.</span>
-
-<span class="sd"> This equalization is done channel-wise, meaning that each channel is equalized separately. </span>
-<span class="sd"> Images are normalized over both spatial and temporal domains together. The output is in the range [0,1].</span>
-
-<span class="sd"> This transformation is performed with https://scikit-image.org/docs/stable/api/skimage.exposure.html#skimage.exposure.equalize_hist</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> bins (int, optional): Number of bins for image histogram. Defaults to 256.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 1.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">bins</span> <span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">256</span><span class="p">,</span> <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">1</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">HistogramEqualization</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">bins</span> <span class="o">=</span> <span class="n">bins</span>
-
-<div class="viewcode-block" id="HistogramEqualization.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.HistogramEqualization.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">histogram_equalization</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">bins</span><span class="p">)</span></div></div>
-
-<div class="viewcode-block" id="Pad"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Pad">[docs]</a><span class="k">class</span> <span class="nc">Pad</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Pads the input.</span>
-
-<span class="sd"> Input is padded based on pad_size. If pad_size is only one number, all spatial axes are padded on both sides</span>
-<span class="sd"> with this number. If it is tuple, then it has same behaviour as pad_size except sides are padded with different </span>
-<span class="sd"> number of pixels. If it is List, then it must have 3 items, which define padding for each spatial dimension</span>
-<span class="sd"> separately (in either of the ways described above). If the List is shorter, remaining axes are padded with 0. </span>
-
-<span class="sd"> For other parameters check https://numpy.org/doc/stable/reference/generated/numpy.pad.html </span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> pad_size (int | Tuple[int] | List[int | Tuple[int]]): Determines number of pixels to be padded. Tuple should be of size 2. </span>
-<span class="sd"> List should be of size equal to the image axes - 1 (channel axis). </span>
-<span class="sd"> border_mode (str, optional): numpy.pad parameter . Defaults to 'constant'.</span>
-<span class="sd"> value (float | Sequence, optional): value for image if needed by chosen border_mode. Defaults to 0.</span>
-<span class="sd"> mask_value (float | Sequence, optional): value for mask if needed by chosen border_mode. Defaults to 0.</span>
-<span class="sd"> ignore_index ( float | None, optional): If ignore_index is float, then transformation of mask is done with </span>
-<span class="sd"> border_mode = "constant" and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pad_size</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">]]]],</span> <span class="n">border_mode</span> <span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'constant'</span><span class="p">,</span>
- <span class="n">ival</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">mval</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">Sequence</span><span class="p">]</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">ignore_index</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">always_apply</span> <span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span> <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mi">1</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">pad_size</span> <span class="o">=</span> <span class="n">pad_size</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">ival</span> <span class="o">=</span> <span class="n">ival</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">mval</span>
-
-
- <span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">ignore_index</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">):</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span> <span class="o">=</span> <span class="s2">"constant"</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mval</span> <span class="o">=</span> <span class="n">ignore_index</span>
-
-
-<div class="viewcode-block" id="Pad.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Pad.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">pad_pixels</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">pad_size</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="Pad.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Pad.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">pad_pixels</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">pad_size</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_mode</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'Pad(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">pad_size</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">ival</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">mval</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, '</span> \
- <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="Normalize"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Normalize">[docs]</a><span class="k">class</span> <span class="nc">Normalize</span><span class="p">(</span><span class="n">ImageOnlyTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Normalize image channels to the given mean and std.</span>
-
-<span class="sd"> Normalization is performed channel-wise. </span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> mean (float | List[float], optional): Value of desired mean. If it is list, then it should have</span>
-<span class="sd"> same length as number of channels, and each value corresponds to the desired mean in respective channel. Defaults to 0.</span>
-<span class="sd"> std (float | List[float], optional): Value of desired std. If it is list, then it should have</span>
-<span class="sd"> same length as number of channels, and each value corresponds to the desired std in respective channel. Defaults to 1.</span>
-<span class="sd"> always_apply (bool, optional): always apply transformation in composition. Defaults to False.</span>
-<span class="sd"> p (float, optional): chance of applying transformation in composition. Defaults to 1.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> float32</span>
-<span class="sd"> """</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mean</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span><span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]]</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span> <span class="n">std</span> <span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">float</span><span class="p">,</span> <span class="n">List</span><span class="p">[</span><span class="nb">float</span><span class="p">]]</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
- <span class="n">always_apply</span> <span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span> <span class="n">p</span> <span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">1.0</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mean</span> <span class="o">=</span> <span class="n">mean</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">std</span> <span class="o">=</span> <span class="n">std</span>
-
-
-<div class="viewcode-block" id="Normalize.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Normalize.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">normalize</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mean</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">std</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'Normalize(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">range_norm</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-<div class="viewcode-block" id="Contiguous"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Contiguous">[docs]</a><span class="k">class</span> <span class="nc">Contiguous</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<div class="viewcode-block" id="Contiguous.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Contiguous.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">image</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">ascontiguousarray</span><span class="p">(</span><span class="n">image</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'Contiguous()'</span></div>
-
-
-
-<span class="c1">####################################################################</span>
-<span class="c1">####################################################################</span>
-<span class="c1">####################################################################</span>
-<span class="c1">####################################################################</span>
-<span class="c1">####################################################################</span>
-<span class="c1"># taken transforms from forks, not implemented #####################</span>
-<span class="c1"># shouldnt work, except for Float() ################################</span>
-<span class="c1">####################################################################</span>
-<span class="c1">####################################################################</span>
-<span class="c1">####################################################################</span>
-
-
-
-<span class="c1"># not sure what should be end goal for this transformation </span>
-<span class="c1"># but currecntly used as a transform which is always called at the start of Compose</span>
-<div class="viewcode-block" id="Float"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Float">[docs]</a><span class="k">class</span> <span class="nc">Float</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<div class="viewcode-block" id="Float.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Float.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">image</span><span class="p">):</span>
- <span class="c1"># TODO this should change value range to (0,1) from the original dtype' value range. Have a look at the code</span>
- <span class="c1"># below and function F.to_float(), F.from_float()</span>
-
- <span class="c1"># if isinstance(image, np.float32):</span>
- <span class="c1"># # assume the image already has correct value range (0,1)</span>
- <span class="c1"># return image</span>
- <span class="c1">#</span>
- <span class="c1"># # change value range to (0,1)</span>
- <span class="c1"># if issubclass(image.dtype.type, numbers.Integral):</span>
- <span class="c1"># dtype_info = np.iinfo(image.dtype)</span>
- <span class="c1"># else:</span>
- <span class="c1"># dtype_info = np.finfo(image.dtype)</span>
- <span class="c1">#</span>
- <span class="c1"># if dtype_info.min == 0:</span>
- <span class="c1"># return image.astype(np.float32) / dtype_info.max</span>
- <span class="c1">#</span>
- <span class="c1"># return ((image.astype(np.float32) / (-dtype_info.min)) / 2) + 0.5</span>
-
- <span class="k">return</span> <span class="n">image</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'Float()'</span></div>
-
-
-
-
-
-<div class="viewcode-block" id="ElasticTransform"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.ElasticTransform">[docs]</a><span class="k">class</span> <span class="nc">ElasticTransform</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">deformation_limits</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">0.25</span><span class="p">),</span> <span class="n">interpolation</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">border_mode</span><span class="o">=</span><span class="s1">'constant'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">mask_value</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">p</span><span class="o">=</span><span class="mf">0.5</span><span class="p">):</span>
- <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">deformation_limits</span> <span class="o">=</span> <span class="n">deformation_limits</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span> <span class="o">=</span> <span class="n">interpolation</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span> <span class="o">=</span> <span class="n">border_mode</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">value</span> <span class="o">=</span> <span class="n">value</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_value</span> <span class="o">=</span> <span class="n">mask_value</span>
-
-<div class="viewcode-block" id="ElasticTransform.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.ElasticTransform.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">sigmas</span><span class="p">,</span> <span class="n">alphas</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">elastic_transform</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">sigmas</span><span class="p">,</span> <span class="n">alphas</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">random_state</span><span class="p">,</span>
- <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">value</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="ElasticTransform.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.ElasticTransform.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">sigmas</span><span class="p">,</span> <span class="n">alphas</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">elastic_transform</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">sigmas</span><span class="p">,</span> <span class="n">alphas</span><span class="p">,</span> <span class="n">interpolation</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">random_state</span><span class="o">=</span><span class="n">random_state</span><span class="p">,</span>
- <span class="n">border_mode</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mask_value</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="ElasticTransform.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.ElasticTransform.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="n">image</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">"image"</span><span class="p">]</span> <span class="c1"># [H, W, D]</span>
- <span class="n">random_state</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10000</span><span class="p">)</span>
- <span class="n">deformation</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="o">*</span><span class="bp">self</span><span class="o">.</span><span class="n">deformation_limits</span><span class="p">)</span>
- <span class="n">sigmas</span> <span class="o">=</span> <span class="p">[</span><span class="n">deformation</span> <span class="o">*</span> <span class="n">x</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">image</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]]</span>
- <span class="n">alphas</span> <span class="o">=</span> <span class="p">[</span><span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="n">x</span> <span class="o">/</span> <span class="mi">8</span><span class="p">,</span> <span class="n">x</span> <span class="o">/</span> <span class="mi">2</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">sigmas</span><span class="p">]</span>
- <span class="k">return</span> <span class="p">{</span>
- <span class="s2">"random_state"</span><span class="p">:</span> <span class="n">random_state</span><span class="p">,</span>
- <span class="s2">"sigmas"</span><span class="p">:</span> <span class="n">sigmas</span><span class="p">,</span>
- <span class="s2">"alphas"</span><span class="p">:</span> <span class="n">alphas</span><span class="p">,</span>
- <span class="p">}</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'ElasticTransform(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">deformation_limits</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">interpolation</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">border_mode</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">value</span><span class="si">}</span><span class="s1">, '</span> \
- <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">mask_value</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span>
-
-
-<span class="c1"># TODO from shape variables to shape arrays</span>
-
-
-
-
-
-<span class="c1">#Its here, so it wont show in documentation.</span>
-
-<span class="w"> </span><span class="sd">"""GridDropout, drops out rectangular regions of an image and the corresponding mask in a grid fashion.</span>
-<span class="sd"> Args:</span>
-<span class="sd"> ratio (float): the ratio of the mask holes to the unit_size (same for horizontal and vertical directions).</span>
-<span class="sd"> Must be between 0 and 1. Default: 0.5.</span>
-<span class="sd"> unit_size_min (int): minimum size of the grid unit. Must be between 2 and the image shorter edge.</span>
-<span class="sd"> If 'None', holes_number_x and holes_number_y are used to setup the grid. Default: `None`.</span>
-<span class="sd"> unit_size_max (int): maximum size of the grid unit. Must be between 2 and the image shorter edge.</span>
-<span class="sd"> If 'None', holes_number_x and holes_number_y are used to setup the grid. Default: `None`.</span>
-<span class="sd"> holes_number_x (int): the number of grid units in x direction. Must be between 1 and image width//2.</span>
-<span class="sd"> If 'None', grid unit width is set as image_width//10. Default: `None`.</span>
-<span class="sd"> holes_number_y (int): the number of grid units in y direction. Must be between 1 and image height//2.</span>
-<span class="sd"> If `None`, grid unit height is set equal to the grid unit width or image height, whatever is smaller.</span>
-<span class="sd"> holes_number_z (int): the number of grid units in z direction. Must be between 1 and image depth//2.</span>
-<span class="sd"> If `None`, grid unit depth is set equal to the grid unit width or image height, whatever is smaller.</span>
-<span class="sd"> shift_x (int): offsets of the grid start in x direction from (0,0) coordinate.</span>
-<span class="sd"> Clipped between 0 and grid unit_width - hole_width. Default: 0.</span>
-<span class="sd"> shift_y (int): offsets of the grid start in y direction from (0,0) coordinate.</span>
-<span class="sd"> Clipped between 0 and grid unit height - hole_height. Default: 0.</span>
-<span class="sd"> shift_z (int): offsets of the grid start in z direction from (0,0) coordinate.</span>
-<span class="sd"> Clipped between 0 and grid unit depth - hole_depth. Default: 0.</span>
-<span class="sd"> random_offset (boolean): weather to offset the grid randomly between 0 and grid unit size - hole size</span>
-<span class="sd"> If 'True', entered shift_x, shift_y, shift_z are ignored and set randomly. Default: `False`.</span>
-<span class="sd"> fill_value (int): value for the dropped pixels. Default = 0</span>
-<span class="sd"> mask_fill_value (int): value for the dropped pixels in mask.</span>
-<span class="sd"> If `None`, tranformation is not applied to the mask. Default: `None`.</span>
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-<span class="sd"> Image types:</span>
-<span class="sd"> uint8, float32</span>
-<span class="sd"> References:</span>
-<span class="sd"> https://arxiv.org/abs/2001.04086</span>
-<span class="sd"> """</span></div>
-
-<div class="viewcode-block" id="GridDropout"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout">[docs]</a><span class="k">class</span> <span class="nc">GridDropout</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
- <span class="bp">self</span><span class="p">,</span>
- <span class="n">ratio</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span>
- <span class="n">unit_size_min</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">unit_size_max</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">holes_number_x</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">holes_number_y</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">holes_number_z</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">shift_x</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">shift_y</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">shift_z</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">random_offset</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
- <span class="n">fill_value</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
- <span class="n">mask_fill_value</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
- <span class="n">always_apply</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
- <span class="n">p</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span>
- <span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">GridDropout</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">ratio</span> <span class="o">=</span> <span class="n">ratio</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_min</span> <span class="o">=</span> <span class="n">unit_size_min</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_max</span> <span class="o">=</span> <span class="n">unit_size_max</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_x</span> <span class="o">=</span> <span class="n">holes_number_x</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_y</span> <span class="o">=</span> <span class="n">holes_number_y</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_z</span> <span class="o">=</span> <span class="n">holes_number_z</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">shift_x</span> <span class="o">=</span> <span class="n">shift_x</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">shift_y</span> <span class="o">=</span> <span class="n">shift_y</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">shift_z</span> <span class="o">=</span> <span class="n">shift_z</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">random_offset</span> <span class="o">=</span> <span class="n">random_offset</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">fill_value</span> <span class="o">=</span> <span class="n">fill_value</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">mask_fill_value</span> <span class="o">=</span> <span class="n">mask_fill_value</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="mi">0</span> <span class="o"><</span> <span class="bp">self</span><span class="o">.</span><span class="n">ratio</span> <span class="o"><=</span> <span class="mi">1</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"ratio must be between 0 and 1."</span><span class="p">)</span>
-
-<div class="viewcode-block" id="GridDropout.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">image</span><span class="p">,</span> <span class="n">holes</span><span class="o">=</span><span class="p">(),</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">cutout</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">holes</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">fill_value</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="GridDropout.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">image</span><span class="p">,</span> <span class="n">holes</span><span class="o">=</span><span class="p">(),</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_fill_value</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="k">return</span> <span class="n">image</span>
-
- <span class="k">return</span> <span class="n">F</span><span class="o">.</span><span class="n">cutout</span><span class="p">(</span><span class="n">image</span><span class="p">,</span> <span class="n">holes</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">mask_fill_value</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="GridDropout.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="n">img</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">"image"</span><span class="p">]</span>
- <span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">,</span> <span class="n">depth</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span>
- <span class="c1"># set grid using unit size limits</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_min</span> <span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_max</span><span class="p">:</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="mi">2</span> <span class="o"><=</span> <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_min</span> <span class="o"><=</span> <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_max</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
- <span class="s2">"Max unit size should be >= min size, both at least 2 pixels."</span><span class="p">)</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_max</span> <span class="o">></span> <span class="nb">min</span><span class="p">(</span><span class="n">height</span><span class="p">,</span> <span class="n">width</span><span class="p">):</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
- <span class="s2">"Grid size limits must be within the shortest image edge."</span><span class="p">)</span>
- <span class="n">unit_width</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_min</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">unit_size_max</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
- <span class="n">unit_height</span> <span class="o">=</span> <span class="n">unit_width</span>
- <span class="n">unit_depth</span> <span class="o">=</span> <span class="n">unit_width</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="c1"># set grid using holes numbers</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_x</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">unit_width</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="n">width</span> <span class="o">//</span> <span class="mi">10</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="mi">1</span> <span class="o"><=</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_x</span> <span class="o"><=</span> <span class="n">width</span> <span class="o">//</span> <span class="mi">2</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"The hole_number_x must be between 1 and image width//2 (</span><span class="si">{</span><span class="n">width</span><span class="o">//</span><span class="mi">2</span><span class="si">}</span><span class="s2">), "</span>
- <span class="sa">f</span><span class="s2">"but was </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">holes_number_x</span><span class="si">}</span><span class="s2">."</span><span class="p">)</span>
- <span class="n">unit_width</span> <span class="o">=</span> <span class="n">width</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_x</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_y</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">unit_height</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">unit_width</span><span class="p">,</span> <span class="n">height</span><span class="p">),</span> <span class="mi">2</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="mi">1</span> <span class="o"><=</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_y</span> <span class="o"><=</span> <span class="n">height</span> <span class="o">//</span> <span class="mi">2</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"The hole_number_y must be between 1 and image height//2 (</span><span class="si">{</span><span class="n">height</span><span class="o">//</span><span class="mi">2</span><span class="si">}</span><span class="s2">), "</span>
- <span class="sa">f</span><span class="s2">"but was </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">holes_number_y</span><span class="si">}</span><span class="s2">."</span><span class="p">)</span>
- <span class="n">unit_height</span> <span class="o">=</span> <span class="n">height</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_y</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_z</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">unit_depth</span> <span class="o">=</span> <span class="nb">max</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">unit_height</span><span class="p">,</span> <span class="n">depth</span><span class="p">),</span> <span class="mi">2</span><span class="p">)</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="mi">1</span> <span class="o"><=</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_z</span> <span class="o"><=</span> <span class="n">depth</span> <span class="o">//</span> <span class="mi">2</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"The hole_number_z must be between 1 and image depth//2 (</span><span class="si">{</span><span class="n">depth</span><span class="o">//</span><span class="mi">2</span><span class="si">}</span><span class="s2">), "</span>
- <span class="sa">f</span><span class="s2">"but was </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">holes_number_z</span><span class="si">}</span><span class="s2">."</span><span class="p">)</span>
- <span class="n">unit_depth</span> <span class="o">=</span> <span class="n">depth</span> <span class="o">//</span> <span class="bp">self</span><span class="o">.</span><span class="n">holes_number_z</span>
-
- <span class="n">hole_width</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">unit_width</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">ratio</span><span class="p">)</span>
- <span class="n">hole_height</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">unit_height</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">ratio</span><span class="p">)</span>
- <span class="n">hole_depth</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">unit_depth</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">ratio</span><span class="p">)</span>
- <span class="c1"># min 1 pixel and max unit length - 1</span>
- <span class="n">hole_width</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">hole_width</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">unit_width</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
- <span class="n">hole_height</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">hole_height</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">unit_height</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
- <span class="n">hole_depth</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="n">hole_depth</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">unit_depth</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
- <span class="c1"># set offset of the grid</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">shift_x</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">shift_x</span> <span class="o">=</span> <span class="mi">0</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">shift_x</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shift_x</span><span class="p">),</span> <span class="n">unit_width</span> <span class="o">-</span> <span class="n">hole_width</span><span class="p">)</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">shift_y</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">shift_y</span> <span class="o">=</span> <span class="mi">0</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">shift_y</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shift_y</span><span class="p">),</span> <span class="n">unit_height</span> <span class="o">-</span> <span class="n">hole_height</span><span class="p">)</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">shift_z</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">shift_z</span> <span class="o">=</span> <span class="mi">0</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">shift_z</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="nb">max</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">shift_z</span><span class="p">),</span> <span class="n">unit_depth</span> <span class="o">-</span> <span class="n">hole_depth</span><span class="p">)</span>
- <span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">random_offset</span><span class="p">:</span>
- <span class="n">shift_x</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">unit_width</span> <span class="o">-</span> <span class="n">hole_width</span><span class="p">)</span>
- <span class="n">shift_y</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">unit_height</span> <span class="o">-</span> <span class="n">hole_height</span><span class="p">)</span>
- <span class="n">shift_z</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">unit_depth</span> <span class="o">-</span> <span class="n">hole_depth</span><span class="p">)</span>
- <span class="n">holes</span> <span class="o">=</span> <span class="p">[]</span>
- <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">width</span> <span class="o">//</span> <span class="n">unit_width</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
- <span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">height</span> <span class="o">//</span> <span class="n">unit_height</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
- <span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">depth</span> <span class="o">//</span> <span class="n">unit_depth</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
- <span class="n">x1</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">shift_x</span> <span class="o">+</span> <span class="n">unit_width</span> <span class="o">*</span> <span class="n">i</span><span class="p">,</span> <span class="n">width</span><span class="p">)</span>
- <span class="n">y1</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">shift_y</span> <span class="o">+</span> <span class="n">unit_height</span> <span class="o">*</span> <span class="n">j</span><span class="p">,</span> <span class="n">height</span><span class="p">)</span>
- <span class="n">z1</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">shift_z</span> <span class="o">+</span> <span class="n">unit_depth</span> <span class="o">*</span> <span class="n">j</span><span class="p">,</span> <span class="n">depth</span><span class="p">)</span>
- <span class="n">x2</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">x1</span> <span class="o">+</span> <span class="n">hole_width</span><span class="p">,</span> <span class="n">width</span><span class="p">)</span>
- <span class="n">y2</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">y1</span> <span class="o">+</span> <span class="n">hole_height</span><span class="p">,</span> <span class="n">height</span><span class="p">)</span>
- <span class="n">z2</span> <span class="o">=</span> <span class="nb">min</span><span class="p">(</span><span class="n">z1</span> <span class="o">+</span> <span class="n">hole_depth</span><span class="p">,</span> <span class="n">depth</span><span class="p">)</span>
- <span class="n">holes</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="n">x1</span><span class="p">,</span> <span class="n">y1</span><span class="p">,</span> <span class="n">z1</span><span class="p">,</span> <span class="n">x2</span><span class="p">,</span> <span class="n">y2</span><span class="p">,</span> <span class="n">z2</span><span class="p">))</span>
-
- <span class="k">return</span> <span class="p">{</span><span class="s2">"holes"</span><span class="p">:</span> <span class="n">holes</span><span class="p">}</span></div>
-
-<div class="viewcode-block" id="GridDropout.get_transform_init_args_names"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout.get_transform_init_args_names">[docs]</a> <span class="k">def</span> <span class="nf">get_transform_init_args_names</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="p">(</span>
- <span class="s2">"ratio"</span><span class="p">,</span>
- <span class="s2">"unit_size_min"</span><span class="p">,</span>
- <span class="s2">"unit_size_max"</span><span class="p">,</span>
- <span class="s2">"holes_number_x"</span><span class="p">,</span>
- <span class="s2">"holes_number_y"</span><span class="p">,</span>
- <span class="s2">"shift_x"</span><span class="p">,</span>
- <span class="s2">"shift_y"</span><span class="p">,</span>
- <span class="s2">"mask_fill_value"</span><span class="p">,</span>
- <span class="s2">"random_offset"</span><span class="p">,</span>
- <span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'GridDropout(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">ratio</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">unit_size_min</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">unit_size_max</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">holes_number_x</span><span class="si">}</span><span class="s1">, '</span> \
- <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">holes_number_y</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">holes_number_z</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">shift_x</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">shift_y</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">shift_z</span><span class="si">}</span><span class="s1">, '</span> \
- <span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">random_offset</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">fill_value</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">mask_fill_value</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-
-<div class="viewcode-block" id="RandomDropPlane"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomDropPlane">[docs]</a><span class="k">class</span> <span class="nc">RandomDropPlane</span><span class="p">(</span><span class="n">DualTransform</span><span class="p">):</span>
-<span class="w"> </span><span class="sd">"""Randomly drop some planes in axis randomly chosen from 'axes' input array.</span>
-
-<span class="sd"> Args:</span>
-<span class="sd"> plane_drop_prob (float): float value in (0.0, 1.0) range. Default: 0.1</span>
-<span class="sd"> axes (tuple). Default: 0</span>
-<span class="sd"> p (float): probability of applying the transform. Default: 1.</span>
-
-<span class="sd"> Targets:</span>
-<span class="sd"> image, mask</span>
-
-<span class="sd"> Image types:</span>
-<span class="sd"> uint8, float32</span>
-<span class="sd"> """</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span>
- <span class="bp">self</span><span class="p">,</span>
- <span class="n">plane_drop_prob</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span>
- <span class="n">axes</span><span class="o">=</span><span class="p">(</span><span class="mi">0</span><span class="p">,),</span>
- <span class="n">always_apply</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
- <span class="n">p</span><span class="o">=</span><span class="mf">1.0</span>
- <span class="p">):</span>
- <span class="nb">super</span><span class="p">(</span><span class="n">RandomDropPlane</span><span class="p">,</span> <span class="bp">self</span><span class="p">)</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">always_apply</span><span class="p">,</span> <span class="n">p</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">plane_drop_prob</span> <span class="o">=</span> <span class="n">plane_drop_prob</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">axes</span> <span class="o">=</span> <span class="n">axes</span>
-
-<div class="viewcode-block" id="RandomDropPlane.get_params"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.get_params">[docs]</a> <span class="k">def</span> <span class="nf">get_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">data</span><span class="p">):</span>
- <span class="n">img</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="s2">"image"</span><span class="p">]</span>
- <span class="c1"># TODO add choosing axis randomly from all spatial axes like in flip if axes is initially None</span>
- <span class="n">axis</span> <span class="o">=</span> <span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="p">)</span>
- <span class="n">r</span> <span class="o">=</span> <span class="n">img</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="n">axis</span><span class="p">]</span>
- <span class="n">indexes</span> <span class="o">=</span> <span class="p">[]</span>
- <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">r</span><span class="p">):</span>
- <span class="k">if</span> <span class="n">random</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span> <span class="o">></span> <span class="bp">self</span><span class="o">.</span><span class="n">plane_drop_prob</span><span class="p">:</span>
- <span class="n">indexes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">i</span><span class="p">)</span>
- <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">indexes</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
- <span class="n">indexes</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
-
- <span class="k">return</span> <span class="p">{</span>
- <span class="s2">"indexes"</span><span class="p">:</span> <span class="n">indexes</span><span class="p">,</span> <span class="s2">"axis"</span><span class="p">:</span> <span class="n">axis</span><span class="p">,</span>
- <span class="p">}</span></div>
-
-<div class="viewcode-block" id="RandomDropPlane.apply"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.apply">[docs]</a> <span class="k">def</span> <span class="nf">apply</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">img</span><span class="p">,</span> <span class="n">indexes</span><span class="o">=</span><span class="p">(),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">take</span><span class="p">(</span><span class="n">img</span><span class="p">,</span> <span class="n">indexes</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="n">axis</span><span class="p">)</span></div>
-
-<div class="viewcode-block" id="RandomDropPlane.apply_to_mask"><a class="viewcode-back" href="../../../volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.apply_to_mask">[docs]</a> <span class="k">def</span> <span class="nf">apply_to_mask</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">mask</span><span class="p">,</span> <span class="n">indexes</span><span class="o">=</span><span class="p">(),</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="o">**</span><span class="n">params</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">take</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">indexes</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="n">axis</span><span class="p">)</span></div>
-
- <span class="k">def</span> <span class="fm">__repr__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
- <span class="k">return</span> <span class="sa">f</span><span class="s1">'RandomDropPlane(</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">plane_drop_prob</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">axes</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">always_apply</span><span class="si">}</span><span class="s1">, </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">p</span><span class="si">}</span><span class="s1">)'</span></div>
-
-</pre></div>
-
- </div>
- </div>
- <footer>
-
- <hr/>
-
- <div role="contentinfo">
- <p>© Copyright 2023, Samuel Ĺ uÄľan.</p>
- </div>
-
- Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
- <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
- provided by <a href="https://readthedocs.org">Read the Docs</a>.
-
-
-</footer>
- </div>
- </div>
- </section>
- </div>
- <script>
- jQuery(function () {
- SphinxRtdTheme.Navigation.enable(true);
- });
- </script>
-
-</body>
-</html>
\ No newline at end of file
diff --git a/docs/_build/html/_sources/index.rst.txt b/docs/_build/html/_sources/index.rst.txt
deleted file mode 100644
index a07d9c0384c6f1fc4c92e235068a8a645153cf6c..0000000000000000000000000000000000000000
--- a/docs/_build/html/_sources/index.rst.txt
+++ /dev/null
@@ -1,28 +0,0 @@
-.. volumentations_biomedicine documentation master file, created by
- sphinx-quickstart on Fri Sep 22 13:30:00 2023.
- You can adapt this file completely to your liking, but it should at least
- contain the root `toctree` directive.
-
-Text pred modulami.
-Text je *reStructuredText*. Zoznam možnostà čo sa dá s týmto formátom robiť sa nachádza na: tejto
-`stránke <https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html>`_
-
-
-Welcome to volumentations_biomedicine's documentation!
-======================================================
-
-.. toctree::
- :maxdepth: 3
- :titlesonly:
- :caption: Contents:
-
- Augumentations <volumentations_biomedicine.augmentations>
- Conversions <volumentations_biomedicine.conversion>
- Composition <volumentations_biomedicine.composition>
- Transforms interface <volumentations_biomedicine.transforms_interface>
-
-
-
-Text po moduloch.
-
-
diff --git a/docs/_build/html/_sources/volumentations_biomedicine.augmentations.rst.txt b/docs/_build/html/_sources/volumentations_biomedicine.augmentations.rst.txt
deleted file mode 100644
index 8ac5555c7338fdbdb2469982d1b5cc432eeb34e7..0000000000000000000000000000000000000000
--- a/docs/_build/html/_sources/volumentations_biomedicine.augmentations.rst.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-
-volumentations\_biomedicine.augmentations.transforms module
------------------------------------------------------------
-
-.. automodule:: volumentations_biomedicine.augmentations.transforms
- :members:
- :undoc-members:
- :show-inheritance:
diff --git a/docs/_build/html/_static/jquery-3.6.0.js b/docs/_build/html/_static/jquery-3.6.0.js
deleted file mode 100644
index fc6c299b73e792ef288e785c22393a5df9dded4b..0000000000000000000000000000000000000000
--- a/docs/_build/html/_static/jquery-3.6.0.js
+++ /dev/null
@@ -1,10881 +0,0 @@
-/*!
- * jQuery JavaScript Library v3.6.0
- * https://jquery.com/
- *
- * Includes Sizzle.js
- * https://sizzlejs.com/
- *
- * Copyright OpenJS Foundation and other contributors
- * Released under the MIT license
- * https://jquery.org/license
- *
- * Date: 2021-03-02T17:08Z
- */
-( function( global, factory ) {
-
- "use strict";
-
- if ( typeof module === "object" && typeof module.exports === "object" ) {
-
- // For CommonJS and CommonJS-like environments where a proper `window`
- // is present, execute the factory and get jQuery.
- // For environments that do not have a `window` with a `document`
- // (such as Node.js), expose a factory as module.exports.
- // This accentuates the need for the creation of a real `window`.
- // e.g. var jQuery = require("jquery")(window);
- // See ticket #14549 for more info.
- module.exports = global.document ?
- factory( global, true ) :
- function( w ) {
- if ( !w.document ) {
- throw new Error( "jQuery requires a window with a document" );
- }
- return factory( w );
- };
- } else {
- factory( global );
- }
-
-// Pass this if window is not defined yet
-} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
-
-// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
-// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
-// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
-// enough that all such attempts are guarded in a try block.
-"use strict";
-
-var arr = [];
-
-var getProto = Object.getPrototypeOf;
-
-var slice = arr.slice;
-
-var flat = arr.flat ? function( array ) {
- return arr.flat.call( array );
-} : function( array ) {
- return arr.concat.apply( [], array );
-};
-
-
-var push = arr.push;
-
-var indexOf = arr.indexOf;
-
-var class2type = {};
-
-var toString = class2type.toString;
-
-var hasOwn = class2type.hasOwnProperty;
-
-var fnToString = hasOwn.toString;
-
-var ObjectFunctionString = fnToString.call( Object );
-
-var support = {};
-
-var isFunction = function isFunction( obj ) {
-
- // Support: Chrome <=57, Firefox <=52
- // In some browsers, typeof returns "function" for HTML <object> elements
- // (i.e., `typeof document.createElement( "object" ) === "function"`).
- // We don't want to classify *any* DOM node as a function.
- // Support: QtWeb <=3.8.5, WebKit <=534.34, wkhtmltopdf tool <=0.12.5
- // Plus for old WebKit, typeof returns "function" for HTML collections
- // (e.g., `typeof document.getElementsByTagName("div") === "function"`). (gh-4756)
- return typeof obj === "function" && typeof obj.nodeType !== "number" &&
- typeof obj.item !== "function";
- };
-
-
-var isWindow = function isWindow( obj ) {
- return obj != null && obj === obj.window;
- };
-
-
-var document = window.document;
-
-
-
- var preservedScriptAttributes = {
- type: true,
- src: true,
- nonce: true,
- noModule: true
- };
-
- function DOMEval( code, node, doc ) {
- doc = doc || document;
-
- var i, val,
- script = doc.createElement( "script" );
-
- script.text = code;
- if ( node ) {
- for ( i in preservedScriptAttributes ) {
-
- // Support: Firefox 64+, Edge 18+
- // Some browsers don't support the "nonce" property on scripts.
- // On the other hand, just using `getAttribute` is not enough as
- // the `nonce` attribute is reset to an empty string whenever it
- // becomes browsing-context connected.
- // See https://github.com/whatwg/html/issues/2369
- // See https://html.spec.whatwg.org/#nonce-attributes
- // The `node.getAttribute` check was added for the sake of
- // `jQuery.globalEval` so that it can fake a nonce-containing node
- // via an object.
- val = node[ i ] || node.getAttribute && node.getAttribute( i );
- if ( val ) {
- script.setAttribute( i, val );
- }
- }
- }
- doc.head.appendChild( script ).parentNode.removeChild( script );
- }
-
-
-function toType( obj ) {
- if ( obj == null ) {
- return obj + "";
- }
-
- // Support: Android <=2.3 only (functionish RegExp)
- return typeof obj === "object" || typeof obj === "function" ?
- class2type[ toString.call( obj ) ] || "object" :
- typeof obj;
-}
-/* global Symbol */
-// Defining this global in .eslintrc.json would create a danger of using the global
-// unguarded in another place, it seems safer to define global only for this module
-
-
-
-var
- version = "3.6.0",
-
- // Define a local copy of jQuery
- jQuery = function( selector, context ) {
-
- // The jQuery object is actually just the init constructor 'enhanced'
- // Need init if jQuery is called (just allow error to be thrown if not included)
- return new jQuery.fn.init( selector, context );
- };
-
-jQuery.fn = jQuery.prototype = {
-
- // The current version of jQuery being used
- jquery: version,
-
- constructor: jQuery,
-
- // The default length of a jQuery object is 0
- length: 0,
-
- toArray: function() {
- return slice.call( this );
- },
-
- // Get the Nth element in the matched element set OR
- // Get the whole matched element set as a clean array
- get: function( num ) {
-
- // Return all the elements in a clean array
- if ( num == null ) {
- return slice.call( this );
- }
-
- // Return just the one element from the set
- return num < 0 ? this[ num + this.length ] : this[ num ];
- },
-
- // Take an array of elements and push it onto the stack
- // (returning the new matched element set)
- pushStack: function( elems ) {
-
- // Build a new jQuery matched element set
- var ret = jQuery.merge( this.constructor(), elems );
-
- // Add the old object onto the stack (as a reference)
- ret.prevObject = this;
-
- // Return the newly-formed element set
- return ret;
- },
-
- // Execute a callback for every element in the matched set.
- each: function( callback ) {
- return jQuery.each( this, callback );
- },
-
- map: function( callback ) {
- return this.pushStack( jQuery.map( this, function( elem, i ) {
- return callback.call( elem, i, elem );
- } ) );
- },
-
- slice: function() {
- return this.pushStack( slice.apply( this, arguments ) );
- },
-
- first: function() {
- return this.eq( 0 );
- },
-
- last: function() {
- return this.eq( -1 );
- },
-
- even: function() {
- return this.pushStack( jQuery.grep( this, function( _elem, i ) {
- return ( i + 1 ) % 2;
- } ) );
- },
-
- odd: function() {
- return this.pushStack( jQuery.grep( this, function( _elem, i ) {
- return i % 2;
- } ) );
- },
-
- eq: function( i ) {
- var len = this.length,
- j = +i + ( i < 0 ? len : 0 );
- return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] );
- },
-
- end: function() {
- return this.prevObject || this.constructor();
- },
-
- // For internal use only.
- // Behaves like an Array's method, not like a jQuery method.
- push: push,
- sort: arr.sort,
- splice: arr.splice
-};
-
-jQuery.extend = jQuery.fn.extend = function() {
- var options, name, src, copy, copyIsArray, clone,
- target = arguments[ 0 ] || {},
- i = 1,
- length = arguments.length,
- deep = false;
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- if ( typeof target !== "object" && !isFunction( target ) ) {
- target = {};
- }
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- // Extend jQuery itself if only one argument is passed
- if ( i === length ) {
- target = this;
- i--;
- }
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- for ( ; i < length; i++ ) {
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- copy = options[ name ];
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- continue;
- }
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- // Ensure proper type for the source value
- if ( copyIsArray && !Array.isArray( src ) ) {
- clone = [];
- } else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) {
- clone = {};
- } else {
- clone = src;
- }
- copyIsArray = false;
-
- // Never move original objects, clone them
- target[ name ] = jQuery.extend( deep, clone, copy );
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- } else if ( copy !== undefined ) {
- target[ name ] = copy;
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- // Return the modified object
- return target;
-};
-
-jQuery.extend( {
-
- // Unique for each copy of jQuery on the page
- expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ),
-
- // Assume jQuery is ready without the ready module
- isReady: true,
-
- error: function( msg ) {
- throw new Error( msg );
- },
-
- noop: function() {},
-
- isPlainObject: function( obj ) {
- var proto, Ctor;
-
- // Detect obvious negatives
- // Use toString instead of jQuery.type to catch host objects
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- return false;
- }
-
- proto = getProto( obj );
-
- // Objects with no prototype (e.g., `Object.create( null )`) are plain
- if ( !proto ) {
- return true;
- }
-
- // Objects with prototype are plain iff they were constructed by a global Object function
- Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor;
- return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString;
- },
-
- isEmptyObject: function( obj ) {
- var name;
-
- for ( name in obj ) {
- return false;
- }
- return true;
- },
-
- // Evaluates a script in a provided context; falls back to the global one
- // if not specified.
- globalEval: function( code, options, doc ) {
- DOMEval( code, { nonce: options && options.nonce }, doc );
- },
-
- each: function( obj, callback ) {
- var length, i = 0;
-
- if ( isArrayLike( obj ) ) {
- length = obj.length;
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- break;
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- } else {
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- break;
- }
- }
- }
-
- return obj;
- },
-
- // results is for internal usage only
- makeArray: function( arr, results ) {
- var ret = results || [];
-
- if ( arr != null ) {
- if ( isArrayLike( Object( arr ) ) ) {
- jQuery.merge( ret,
- typeof arr === "string" ?
- [ arr ] : arr
- );
- } else {
- push.call( ret, arr );
- }
- }
-
- return ret;
- },
-
- inArray: function( elem, arr, i ) {
- return arr == null ? -1 : indexOf.call( arr, elem, i );
- },
-
- // Support: Android <=4.0 only, PhantomJS 1 only
- // push.apply(_, arraylike) throws on ancient WebKit
- merge: function( first, second ) {
- var len = +second.length,
- j = 0,
- i = first.length;
-
- for ( ; j < len; j++ ) {
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- // Go through the array, only saving the items
- // that pass the validator function
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- matches.push( elems[ i ] );
- }
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-
- return matches;
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- i = 0,
- ret = [];
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- value = callback( elems[ i ], i, arg );
-
- if ( value != null ) {
- ret.push( value );
- }
- }
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- }
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- }
-
- // Flatten any nested arrays
- return flat( ret );
- },
-
- // A global GUID counter for objects
- guid: 1,
-
- // jQuery.support is not used in Core but other projects attach their
- // properties to it so it needs to exist.
- support: support
-} );
-
-if ( typeof Symbol === "function" ) {
- jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ];
-}
-
-// Populate the class2type map
-jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ),
- function( _i, name ) {
- class2type[ "[object " + name + "]" ] = name.toLowerCase();
- } );
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-function isArrayLike( obj ) {
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- // Support: real iOS 8.2 only (not reproducible in simulator)
- // `in` check used to prevent JIT error (gh-2145)
- // hasOwn isn't used here due to false negatives
- // regarding Nodelist length in IE
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-
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- }
-
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- typeof length === "number" && length > 0 && ( length - 1 ) in obj;
-}
-var Sizzle =
-/*!
- * Sizzle CSS Selector Engine v2.3.6
- * https://sizzlejs.com/
- *
- * Copyright JS Foundation and other contributors
- * Released under the MIT license
- * https://js.foundation/
- *
- * Date: 2021-02-16
- */
-( function( window ) {
-var i,
- support,
- Expr,
- getText,
- isXML,
- tokenize,
- compile,
- select,
- outermostContext,
- sortInput,
- hasDuplicate,
-
- // Local document vars
- setDocument,
- document,
- docElem,
- documentIsHTML,
- rbuggyQSA,
- rbuggyMatches,
- matches,
- contains,
-
- // Instance-specific data
- expando = "sizzle" + 1 * new Date(),
- preferredDoc = window.document,
- dirruns = 0,
- done = 0,
- classCache = createCache(),
- tokenCache = createCache(),
- compilerCache = createCache(),
- nonnativeSelectorCache = createCache(),
- sortOrder = function( a, b ) {
- if ( a === b ) {
- hasDuplicate = true;
- }
- return 0;
- },
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- arr = [],
- pop = arr.pop,
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- push = arr.push,
- slice = arr.slice,
-
- // Use a stripped-down indexOf as it's faster than native
- // https://jsperf.com/thor-indexof-vs-for/5
- indexOf = function( list, elem ) {
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- for ( ; i < len; i++ ) {
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- return -1;
- },
-
- booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" +
- "ismap|loop|multiple|open|readonly|required|scoped",
-
- // Regular expressions
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- // http://www.w3.org/TR/css3-selectors/#whitespace
- whitespace = "[\\x20\\t\\r\\n\\f]",
-
- // https://www.w3.org/TR/css-syntax-3/#ident-token-diagram
- identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace +
- "?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+",
-
- // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors
- attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace +
-
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-
- // "Attribute values must be CSS identifiers [capture 5]
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- whitespace + "*\\]",
-
- pseudos = ":(" + identifier + ")(?:\\((" +
-
- // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments:
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- "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" +
-
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-
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- ".*" +
- ")\\)|)",
-
- // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter
- rwhitespace = new RegExp( whitespace + "+", "g" ),
- rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" +
- whitespace + "+$", "g" ),
-
- rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ),
- rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace +
- "*" ),
- rdescend = new RegExp( whitespace + "|>" ),
-
- rpseudo = new RegExp( pseudos ),
- ridentifier = new RegExp( "^" + identifier + "$" ),
-
- matchExpr = {
- "ID": new RegExp( "^#(" + identifier + ")" ),
- "CLASS": new RegExp( "^\\.(" + identifier + ")" ),
- "TAG": new RegExp( "^(" + identifier + "|[*])" ),
- "ATTR": new RegExp( "^" + attributes ),
- "PSEUDO": new RegExp( "^" + pseudos ),
- "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" +
- whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" +
- whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ),
- "bool": new RegExp( "^(?:" + booleans + ")$", "i" ),
-
- // For use in libraries implementing .is()
- // We use this for POS matching in `select`
- "needsContext": new RegExp( "^" + whitespace +
- "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace +
- "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" )
- },
-
- rhtml = /HTML$/i,
- rinputs = /^(?:input|select|textarea|button)$/i,
- rheader = /^h\d$/i,
-
- rnative = /^[^{]+\{\s*\[native \w/,
-
- // Easily-parseable/retrievable ID or TAG or CLASS selectors
- rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/,
-
- rsibling = /[+~]/,
-
- // CSS escapes
- // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters
- runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ),
- funescape = function( escape, nonHex ) {
- var high = "0x" + escape.slice( 1 ) - 0x10000;
-
- return nonHex ?
-
- // Strip the backslash prefix from a non-hex escape sequence
- nonHex :
-
- // Replace a hexadecimal escape sequence with the encoded Unicode code point
- // Support: IE <=11+
- // For values outside the Basic Multilingual Plane (BMP), manually construct a
- // surrogate pair
- high < 0 ?
- String.fromCharCode( high + 0x10000 ) :
- String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 );
- },
-
- // CSS string/identifier serialization
- // https://drafts.csswg.org/cssom/#common-serializing-idioms
- rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g,
- fcssescape = function( ch, asCodePoint ) {
- if ( asCodePoint ) {
-
- // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER
- if ( ch === "\0" ) {
- return "\uFFFD";
- }
-
- // Control characters and (dependent upon position) numbers get escaped as code points
- return ch.slice( 0, -1 ) + "\\" +
- ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " ";
- }
-
- // Other potentially-special ASCII characters get backslash-escaped
- return "\\" + ch;
- },
-
- // Used for iframes
- // See setDocument()
- // Removing the function wrapper causes a "Permission Denied"
- // error in IE
- unloadHandler = function() {
- setDocument();
- },
-
- inDisabledFieldset = addCombinator(
- function( elem ) {
- return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset";
- },
- { dir: "parentNode", next: "legend" }
- );
-
-// Optimize for push.apply( _, NodeList )
-try {
- push.apply(
- ( arr = slice.call( preferredDoc.childNodes ) ),
- preferredDoc.childNodes
- );
-
- // Support: Android<4.0
- // Detect silently failing push.apply
- // eslint-disable-next-line no-unused-expressions
- arr[ preferredDoc.childNodes.length ].nodeType;
-} catch ( e ) {
- push = { apply: arr.length ?
-
- // Leverage slice if possible
- function( target, els ) {
- pushNative.apply( target, slice.call( els ) );
- } :
-
- // Support: IE<9
- // Otherwise append directly
- function( target, els ) {
- var j = target.length,
- i = 0;
-
- // Can't trust NodeList.length
- while ( ( target[ j++ ] = els[ i++ ] ) ) {}
- target.length = j - 1;
- }
- };
-}
-
-function Sizzle( selector, context, results, seed ) {
- var m, i, elem, nid, match, groups, newSelector,
- newContext = context && context.ownerDocument,
-
- // nodeType defaults to 9, since context defaults to document
- nodeType = context ? context.nodeType : 9;
-
- results = results || [];
-
- // Return early from calls with invalid selector or context
- if ( typeof selector !== "string" || !selector ||
- nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) {
-
- return results;
- }
-
- // Try to shortcut find operations (as opposed to filters) in HTML documents
- if ( !seed ) {
- setDocument( context );
- context = context || document;
-
- if ( documentIsHTML ) {
-
- // If the selector is sufficiently simple, try using a "get*By*" DOM method
- // (excepting DocumentFragment context, where the methods don't exist)
- if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) {
-
- // ID selector
- if ( ( m = match[ 1 ] ) ) {
-
- // Document context
- if ( nodeType === 9 ) {
- if ( ( elem = context.getElementById( m ) ) ) {
-
- // Support: IE, Opera, Webkit
- // TODO: identify versions
- // getElementById can match elements by name instead of ID
- if ( elem.id === m ) {
- results.push( elem );
- return results;
- }
- } else {
- return results;
- }
-
- // Element context
- } else {
-
- // Support: IE, Opera, Webkit
- // TODO: identify versions
- // getElementById can match elements by name instead of ID
- if ( newContext && ( elem = newContext.getElementById( m ) ) &&
- contains( context, elem ) &&
- elem.id === m ) {
-
- results.push( elem );
- return results;
- }
- }
-
- // Type selector
- } else if ( match[ 2 ] ) {
- push.apply( results, context.getElementsByTagName( selector ) );
- return results;
-
- // Class selector
- } else if ( ( m = match[ 3 ] ) && support.getElementsByClassName &&
- context.getElementsByClassName ) {
-
- push.apply( results, context.getElementsByClassName( m ) );
- return results;
- }
- }
-
- // Take advantage of querySelectorAll
- if ( support.qsa &&
- !nonnativeSelectorCache[ selector + " " ] &&
- ( !rbuggyQSA || !rbuggyQSA.test( selector ) ) &&
-
- // Support: IE 8 only
- // Exclude object elements
- ( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) {
-
- newSelector = selector;
- newContext = context;
-
- // qSA considers elements outside a scoping root when evaluating child or
- // descendant combinators, which is not what we want.
- // In such cases, we work around the behavior by prefixing every selector in the
- // list with an ID selector referencing the scope context.
- // The technique has to be used as well when a leading combinator is used
- // as such selectors are not recognized by querySelectorAll.
- // Thanks to Andrew Dupont for this technique.
- if ( nodeType === 1 &&
- ( rdescend.test( selector ) || rcombinators.test( selector ) ) ) {
-
- // Expand context for sibling selectors
- newContext = rsibling.test( selector ) && testContext( context.parentNode ) ||
- context;
-
- // We can use :scope instead of the ID hack if the browser
- // supports it & if we're not changing the context.
- if ( newContext !== context || !support.scope ) {
-
- // Capture the context ID, setting it first if necessary
- if ( ( nid = context.getAttribute( "id" ) ) ) {
- nid = nid.replace( rcssescape, fcssescape );
- } else {
- context.setAttribute( "id", ( nid = expando ) );
- }
- }
-
- // Prefix every selector in the list
- groups = tokenize( selector );
- i = groups.length;
- while ( i-- ) {
- groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " +
- toSelector( groups[ i ] );
- }
- newSelector = groups.join( "," );
- }
-
- try {
- push.apply( results,
- newContext.querySelectorAll( newSelector )
- );
- return results;
- } catch ( qsaError ) {
- nonnativeSelectorCache( selector, true );
- } finally {
- if ( nid === expando ) {
- context.removeAttribute( "id" );
- }
- }
- }
- }
- }
-
- // All others
- return select( selector.replace( rtrim, "$1" ), context, results, seed );
-}
-
-/**
- * Create key-value caches of limited size
- * @returns {function(string, object)} Returns the Object data after storing it on itself with
- * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength)
- * deleting the oldest entry
- */
-function createCache() {
- var keys = [];
-
- function cache( key, value ) {
-
- // Use (key + " ") to avoid collision with native prototype properties (see Issue #157)
- if ( keys.push( key + " " ) > Expr.cacheLength ) {
-
- // Only keep the most recent entries
- delete cache[ keys.shift() ];
- }
- return ( cache[ key + " " ] = value );
- }
- return cache;
-}
-
-/**
- * Mark a function for special use by Sizzle
- * @param {Function} fn The function to mark
- */
-function markFunction( fn ) {
- fn[ expando ] = true;
- return fn;
-}
-
-/**
- * Support testing using an element
- * @param {Function} fn Passed the created element and returns a boolean result
- */
-function assert( fn ) {
- var el = document.createElement( "fieldset" );
-
- try {
- return !!fn( el );
- } catch ( e ) {
- return false;
- } finally {
-
- // Remove from its parent by default
- if ( el.parentNode ) {
- el.parentNode.removeChild( el );
- }
-
- // release memory in IE
- el = null;
- }
-}
-
-/**
- * Adds the same handler for all of the specified attrs
- * @param {String} attrs Pipe-separated list of attributes
- * @param {Function} handler The method that will be applied
- */
-function addHandle( attrs, handler ) {
- var arr = attrs.split( "|" ),
- i = arr.length;
-
- while ( i-- ) {
- Expr.attrHandle[ arr[ i ] ] = handler;
- }
-}
-
-/**
- * Checks document order of two siblings
- * @param {Element} a
- * @param {Element} b
- * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b
- */
-function siblingCheck( a, b ) {
- var cur = b && a,
- diff = cur && a.nodeType === 1 && b.nodeType === 1 &&
- a.sourceIndex - b.sourceIndex;
-
- // Use IE sourceIndex if available on both nodes
- if ( diff ) {
- return diff;
- }
-
- // Check if b follows a
- if ( cur ) {
- while ( ( cur = cur.nextSibling ) ) {
- if ( cur === b ) {
- return -1;
- }
- }
- }
-
- return a ? 1 : -1;
-}
-
-/**
- * Returns a function to use in pseudos for input types
- * @param {String} type
- */
-function createInputPseudo( type ) {
- return function( elem ) {
- var name = elem.nodeName.toLowerCase();
- return name === "input" && elem.type === type;
- };
-}
-
-/**
- * Returns a function to use in pseudos for buttons
- * @param {String} type
- */
-function createButtonPseudo( type ) {
- return function( elem ) {
- var name = elem.nodeName.toLowerCase();
- return ( name === "input" || name === "button" ) && elem.type === type;
- };
-}
-
-/**
- * Returns a function to use in pseudos for :enabled/:disabled
- * @param {Boolean} disabled true for :disabled; false for :enabled
- */
-function createDisabledPseudo( disabled ) {
-
- // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable
- return function( elem ) {
-
- // Only certain elements can match :enabled or :disabled
- // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled
- // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled
- if ( "form" in elem ) {
-
- // Check for inherited disabledness on relevant non-disabled elements:
- // * listed form-associated elements in a disabled fieldset
- // https://html.spec.whatwg.org/multipage/forms.html#category-listed
- // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled
- // * option elements in a disabled optgroup
- // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled
- // All such elements have a "form" property.
- if ( elem.parentNode && elem.disabled === false ) {
-
- // Option elements defer to a parent optgroup if present
- if ( "label" in elem ) {
- if ( "label" in elem.parentNode ) {
- return elem.parentNode.disabled === disabled;
- } else {
- return elem.disabled === disabled;
- }
- }
-
- // Support: IE 6 - 11
- // Use the isDisabled shortcut property to check for disabled fieldset ancestors
- return elem.isDisabled === disabled ||
-
- // Where there is no isDisabled, check manually
- /* jshint -W018 */
- elem.isDisabled !== !disabled &&
- inDisabledFieldset( elem ) === disabled;
- }
-
- return elem.disabled === disabled;
-
- // Try to winnow out elements that can't be disabled before trusting the disabled property.
- // Some victims get caught in our net (label, legend, menu, track), but it shouldn't
- // even exist on them, let alone have a boolean value.
- } else if ( "label" in elem ) {
- return elem.disabled === disabled;
- }
-
- // Remaining elements are neither :enabled nor :disabled
- return false;
- };
-}
-
-/**
- * Returns a function to use in pseudos for positionals
- * @param {Function} fn
- */
-function createPositionalPseudo( fn ) {
- return markFunction( function( argument ) {
- argument = +argument;
- return markFunction( function( seed, matches ) {
- var j,
- matchIndexes = fn( [], seed.length, argument ),
- i = matchIndexes.length;
-
- // Match elements found at the specified indexes
- while ( i-- ) {
- if ( seed[ ( j = matchIndexes[ i ] ) ] ) {
- seed[ j ] = !( matches[ j ] = seed[ j ] );
- }
- }
- } );
- } );
-}
-
-/**
- * Checks a node for validity as a Sizzle context
- * @param {Element|Object=} context
- * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value
- */
-function testContext( context ) {
- return context && typeof context.getElementsByTagName !== "undefined" && context;
-}
-
-// Expose support vars for convenience
-support = Sizzle.support = {};
-
-/**
- * Detects XML nodes
- * @param {Element|Object} elem An element or a document
- * @returns {Boolean} True iff elem is a non-HTML XML node
- */
-isXML = Sizzle.isXML = function( elem ) {
- var namespace = elem && elem.namespaceURI,
- docElem = elem && ( elem.ownerDocument || elem ).documentElement;
-
- // Support: IE <=8
- // Assume HTML when documentElement doesn't yet exist, such as inside loading iframes
- // https://bugs.jquery.com/ticket/4833
- return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" );
-};
-
-/**
- * Sets document-related variables once based on the current document
- * @param {Element|Object} [doc] An element or document object to use to set the document
- * @returns {Object} Returns the current document
- */
-setDocument = Sizzle.setDocument = function( node ) {
- var hasCompare, subWindow,
- doc = node ? node.ownerDocument || node : preferredDoc;
-
- // Return early if doc is invalid or already selected
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) {
- return document;
- }
-
- // Update global variables
- document = doc;
- docElem = document.documentElement;
- documentIsHTML = !isXML( document );
-
- // Support: IE 9 - 11+, Edge 12 - 18+
- // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936)
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- if ( preferredDoc != document &&
- ( subWindow = document.defaultView ) && subWindow.top !== subWindow ) {
-
- // Support: IE 11, Edge
- if ( subWindow.addEventListener ) {
- subWindow.addEventListener( "unload", unloadHandler, false );
-
- // Support: IE 9 - 10 only
- } else if ( subWindow.attachEvent ) {
- subWindow.attachEvent( "onunload", unloadHandler );
- }
- }
-
- // Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only,
- // Safari 4 - 5 only, Opera <=11.6 - 12.x only
- // IE/Edge & older browsers don't support the :scope pseudo-class.
- // Support: Safari 6.0 only
- // Safari 6.0 supports :scope but it's an alias of :root there.
- support.scope = assert( function( el ) {
- docElem.appendChild( el ).appendChild( document.createElement( "div" ) );
- return typeof el.querySelectorAll !== "undefined" &&
- !el.querySelectorAll( ":scope fieldset div" ).length;
- } );
-
- /* Attributes
- ---------------------------------------------------------------------- */
-
- // Support: IE<8
- // Verify that getAttribute really returns attributes and not properties
- // (excepting IE8 booleans)
- support.attributes = assert( function( el ) {
- el.className = "i";
- return !el.getAttribute( "className" );
- } );
-
- /* getElement(s)By*
- ---------------------------------------------------------------------- */
-
- // Check if getElementsByTagName("*") returns only elements
- support.getElementsByTagName = assert( function( el ) {
- el.appendChild( document.createComment( "" ) );
- return !el.getElementsByTagName( "*" ).length;
- } );
-
- // Support: IE<9
- support.getElementsByClassName = rnative.test( document.getElementsByClassName );
-
- // Support: IE<10
- // Check if getElementById returns elements by name
- // The broken getElementById methods don't pick up programmatically-set names,
- // so use a roundabout getElementsByName test
- support.getById = assert( function( el ) {
- docElem.appendChild( el ).id = expando;
- return !document.getElementsByName || !document.getElementsByName( expando ).length;
- } );
-
- // ID filter and find
- if ( support.getById ) {
- Expr.filter[ "ID" ] = function( id ) {
- var attrId = id.replace( runescape, funescape );
- return function( elem ) {
- return elem.getAttribute( "id" ) === attrId;
- };
- };
- Expr.find[ "ID" ] = function( id, context ) {
- if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
- var elem = context.getElementById( id );
- return elem ? [ elem ] : [];
- }
- };
- } else {
- Expr.filter[ "ID" ] = function( id ) {
- var attrId = id.replace( runescape, funescape );
- return function( elem ) {
- var node = typeof elem.getAttributeNode !== "undefined" &&
- elem.getAttributeNode( "id" );
- return node && node.value === attrId;
- };
- };
-
- // Support: IE 6 - 7 only
- // getElementById is not reliable as a find shortcut
- Expr.find[ "ID" ] = function( id, context ) {
- if ( typeof context.getElementById !== "undefined" && documentIsHTML ) {
- var node, i, elems,
- elem = context.getElementById( id );
-
- if ( elem ) {
-
- // Verify the id attribute
- node = elem.getAttributeNode( "id" );
- if ( node && node.value === id ) {
- return [ elem ];
- }
-
- // Fall back on getElementsByName
- elems = context.getElementsByName( id );
- i = 0;
- while ( ( elem = elems[ i++ ] ) ) {
- node = elem.getAttributeNode( "id" );
- if ( node && node.value === id ) {
- return [ elem ];
- }
- }
- }
-
- return [];
- }
- };
- }
-
- // Tag
- Expr.find[ "TAG" ] = support.getElementsByTagName ?
- function( tag, context ) {
- if ( typeof context.getElementsByTagName !== "undefined" ) {
- return context.getElementsByTagName( tag );
-
- // DocumentFragment nodes don't have gEBTN
- } else if ( support.qsa ) {
- return context.querySelectorAll( tag );
- }
- } :
-
- function( tag, context ) {
- var elem,
- tmp = [],
- i = 0,
-
- // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too
- results = context.getElementsByTagName( tag );
-
- // Filter out possible comments
- if ( tag === "*" ) {
- while ( ( elem = results[ i++ ] ) ) {
- if ( elem.nodeType === 1 ) {
- tmp.push( elem );
- }
- }
-
- return tmp;
- }
- return results;
- };
-
- // Class
- Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) {
- if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) {
- return context.getElementsByClassName( className );
- }
- };
-
- /* QSA/matchesSelector
- ---------------------------------------------------------------------- */
-
- // QSA and matchesSelector support
-
- // matchesSelector(:active) reports false when true (IE9/Opera 11.5)
- rbuggyMatches = [];
-
- // qSa(:focus) reports false when true (Chrome 21)
- // We allow this because of a bug in IE8/9 that throws an error
- // whenever `document.activeElement` is accessed on an iframe
- // So, we allow :focus to pass through QSA all the time to avoid the IE error
- // See https://bugs.jquery.com/ticket/13378
- rbuggyQSA = [];
-
- if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) {
-
- // Build QSA regex
- // Regex strategy adopted from Diego Perini
- assert( function( el ) {
-
- var input;
-
- // Select is set to empty string on purpose
- // This is to test IE's treatment of not explicitly
- // setting a boolean content attribute,
- // since its presence should be enough
- // https://bugs.jquery.com/ticket/12359
- docElem.appendChild( el ).innerHTML = "<a id='" + expando + "'></a>" +
- "<select id='" + expando + "-\r\\' msallowcapture=''>" +
- "<option selected=''></option></select>";
-
- // Support: IE8, Opera 11-12.16
- // Nothing should be selected when empty strings follow ^= or $= or *=
- // The test attribute must be unknown in Opera but "safe" for WinRT
- // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section
- if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) {
- rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" );
- }
-
- // Support: IE8
- // Boolean attributes and "value" are not treated correctly
- if ( !el.querySelectorAll( "[selected]" ).length ) {
- rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" );
- }
-
- // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+
- if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) {
- rbuggyQSA.push( "~=" );
- }
-
- // Support: IE 11+, Edge 15 - 18+
- // IE 11/Edge don't find elements on a `[name='']` query in some cases.
- // Adding a temporary attribute to the document before the selection works
- // around the issue.
- // Interestingly, IE 10 & older don't seem to have the issue.
- input = document.createElement( "input" );
- input.setAttribute( "name", "" );
- el.appendChild( input );
- if ( !el.querySelectorAll( "[name='']" ).length ) {
- rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" +
- whitespace + "*(?:''|\"\")" );
- }
-
- // Webkit/Opera - :checked should return selected option elements
- // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
- // IE8 throws error here and will not see later tests
- if ( !el.querySelectorAll( ":checked" ).length ) {
- rbuggyQSA.push( ":checked" );
- }
-
- // Support: Safari 8+, iOS 8+
- // https://bugs.webkit.org/show_bug.cgi?id=136851
- // In-page `selector#id sibling-combinator selector` fails
- if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) {
- rbuggyQSA.push( ".#.+[+~]" );
- }
-
- // Support: Firefox <=3.6 - 5 only
- // Old Firefox doesn't throw on a badly-escaped identifier.
- el.querySelectorAll( "\\\f" );
- rbuggyQSA.push( "[\\r\\n\\f]" );
- } );
-
- assert( function( el ) {
- el.innerHTML = "<a href='' disabled='disabled'></a>" +
- "<select disabled='disabled'><option/></select>";
-
- // Support: Windows 8 Native Apps
- // The type and name attributes are restricted during .innerHTML assignment
- var input = document.createElement( "input" );
- input.setAttribute( "type", "hidden" );
- el.appendChild( input ).setAttribute( "name", "D" );
-
- // Support: IE8
- // Enforce case-sensitivity of name attribute
- if ( el.querySelectorAll( "[name=d]" ).length ) {
- rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" );
- }
-
- // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled)
- // IE8 throws error here and will not see later tests
- if ( el.querySelectorAll( ":enabled" ).length !== 2 ) {
- rbuggyQSA.push( ":enabled", ":disabled" );
- }
-
- // Support: IE9-11+
- // IE's :disabled selector does not pick up the children of disabled fieldsets
- docElem.appendChild( el ).disabled = true;
- if ( el.querySelectorAll( ":disabled" ).length !== 2 ) {
- rbuggyQSA.push( ":enabled", ":disabled" );
- }
-
- // Support: Opera 10 - 11 only
- // Opera 10-11 does not throw on post-comma invalid pseudos
- el.querySelectorAll( "*,:x" );
- rbuggyQSA.push( ",.*:" );
- } );
- }
-
- if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches ||
- docElem.webkitMatchesSelector ||
- docElem.mozMatchesSelector ||
- docElem.oMatchesSelector ||
- docElem.msMatchesSelector ) ) ) ) {
-
- assert( function( el ) {
-
- // Check to see if it's possible to do matchesSelector
- // on a disconnected node (IE 9)
- support.disconnectedMatch = matches.call( el, "*" );
-
- // This should fail with an exception
- // Gecko does not error, returns false instead
- matches.call( el, "[s!='']:x" );
- rbuggyMatches.push( "!=", pseudos );
- } );
- }
-
- rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) );
- rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) );
-
- /* Contains
- ---------------------------------------------------------------------- */
- hasCompare = rnative.test( docElem.compareDocumentPosition );
-
- // Element contains another
- // Purposefully self-exclusive
- // As in, an element does not contain itself
- contains = hasCompare || rnative.test( docElem.contains ) ?
- function( a, b ) {
- var adown = a.nodeType === 9 ? a.documentElement : a,
- bup = b && b.parentNode;
- return a === bup || !!( bup && bup.nodeType === 1 && (
- adown.contains ?
- adown.contains( bup ) :
- a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16
- ) );
- } :
- function( a, b ) {
- if ( b ) {
- while ( ( b = b.parentNode ) ) {
- if ( b === a ) {
- return true;
- }
- }
- }
- return false;
- };
-
- /* Sorting
- ---------------------------------------------------------------------- */
-
- // Document order sorting
- sortOrder = hasCompare ?
- function( a, b ) {
-
- // Flag for duplicate removal
- if ( a === b ) {
- hasDuplicate = true;
- return 0;
- }
-
- // Sort on method existence if only one input has compareDocumentPosition
- var compare = !a.compareDocumentPosition - !b.compareDocumentPosition;
- if ( compare ) {
- return compare;
- }
-
- // Calculate position if both inputs belong to the same document
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ?
- a.compareDocumentPosition( b ) :
-
- // Otherwise we know they are disconnected
- 1;
-
- // Disconnected nodes
- if ( compare & 1 ||
- ( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) {
-
- // Choose the first element that is related to our preferred document
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- if ( a == document || a.ownerDocument == preferredDoc &&
- contains( preferredDoc, a ) ) {
- return -1;
- }
-
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- if ( b == document || b.ownerDocument == preferredDoc &&
- contains( preferredDoc, b ) ) {
- return 1;
- }
-
- // Maintain original order
- return sortInput ?
- ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
- 0;
- }
-
- return compare & 4 ? -1 : 1;
- } :
- function( a, b ) {
-
- // Exit early if the nodes are identical
- if ( a === b ) {
- hasDuplicate = true;
- return 0;
- }
-
- var cur,
- i = 0,
- aup = a.parentNode,
- bup = b.parentNode,
- ap = [ a ],
- bp = [ b ];
-
- // Parentless nodes are either documents or disconnected
- if ( !aup || !bup ) {
-
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- /* eslint-disable eqeqeq */
- return a == document ? -1 :
- b == document ? 1 :
- /* eslint-enable eqeqeq */
- aup ? -1 :
- bup ? 1 :
- sortInput ?
- ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) :
- 0;
-
- // If the nodes are siblings, we can do a quick check
- } else if ( aup === bup ) {
- return siblingCheck( a, b );
- }
-
- // Otherwise we need full lists of their ancestors for comparison
- cur = a;
- while ( ( cur = cur.parentNode ) ) {
- ap.unshift( cur );
- }
- cur = b;
- while ( ( cur = cur.parentNode ) ) {
- bp.unshift( cur );
- }
-
- // Walk down the tree looking for a discrepancy
- while ( ap[ i ] === bp[ i ] ) {
- i++;
- }
-
- return i ?
-
- // Do a sibling check if the nodes have a common ancestor
- siblingCheck( ap[ i ], bp[ i ] ) :
-
- // Otherwise nodes in our document sort first
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- /* eslint-disable eqeqeq */
- ap[ i ] == preferredDoc ? -1 :
- bp[ i ] == preferredDoc ? 1 :
- /* eslint-enable eqeqeq */
- 0;
- };
-
- return document;
-};
-
-Sizzle.matches = function( expr, elements ) {
- return Sizzle( expr, null, null, elements );
-};
-
-Sizzle.matchesSelector = function( elem, expr ) {
- setDocument( elem );
-
- if ( support.matchesSelector && documentIsHTML &&
- !nonnativeSelectorCache[ expr + " " ] &&
- ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) &&
- ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) {
-
- try {
- var ret = matches.call( elem, expr );
-
- // IE 9's matchesSelector returns false on disconnected nodes
- if ( ret || support.disconnectedMatch ||
-
- // As well, disconnected nodes are said to be in a document
- // fragment in IE 9
- elem.document && elem.document.nodeType !== 11 ) {
- return ret;
- }
- } catch ( e ) {
- nonnativeSelectorCache( expr, true );
- }
- }
-
- return Sizzle( expr, document, null, [ elem ] ).length > 0;
-};
-
-Sizzle.contains = function( context, elem ) {
-
- // Set document vars if needed
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- if ( ( context.ownerDocument || context ) != document ) {
- setDocument( context );
- }
- return contains( context, elem );
-};
-
-Sizzle.attr = function( elem, name ) {
-
- // Set document vars if needed
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- if ( ( elem.ownerDocument || elem ) != document ) {
- setDocument( elem );
- }
-
- var fn = Expr.attrHandle[ name.toLowerCase() ],
-
- // Don't get fooled by Object.prototype properties (jQuery #13807)
- val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ?
- fn( elem, name, !documentIsHTML ) :
- undefined;
-
- return val !== undefined ?
- val :
- support.attributes || !documentIsHTML ?
- elem.getAttribute( name ) :
- ( val = elem.getAttributeNode( name ) ) && val.specified ?
- val.value :
- null;
-};
-
-Sizzle.escape = function( sel ) {
- return ( sel + "" ).replace( rcssescape, fcssescape );
-};
-
-Sizzle.error = function( msg ) {
- throw new Error( "Syntax error, unrecognized expression: " + msg );
-};
-
-/**
- * Document sorting and removing duplicates
- * @param {ArrayLike} results
- */
-Sizzle.uniqueSort = function( results ) {
- var elem,
- duplicates = [],
- j = 0,
- i = 0;
-
- // Unless we *know* we can detect duplicates, assume their presence
- hasDuplicate = !support.detectDuplicates;
- sortInput = !support.sortStable && results.slice( 0 );
- results.sort( sortOrder );
-
- if ( hasDuplicate ) {
- while ( ( elem = results[ i++ ] ) ) {
- if ( elem === results[ i ] ) {
- j = duplicates.push( i );
- }
- }
- while ( j-- ) {
- results.splice( duplicates[ j ], 1 );
- }
- }
-
- // Clear input after sorting to release objects
- // See https://github.com/jquery/sizzle/pull/225
- sortInput = null;
-
- return results;
-};
-
-/**
- * Utility function for retrieving the text value of an array of DOM nodes
- * @param {Array|Element} elem
- */
-getText = Sizzle.getText = function( elem ) {
- var node,
- ret = "",
- i = 0,
- nodeType = elem.nodeType;
-
- if ( !nodeType ) {
-
- // If no nodeType, this is expected to be an array
- while ( ( node = elem[ i++ ] ) ) {
-
- // Do not traverse comment nodes
- ret += getText( node );
- }
- } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) {
-
- // Use textContent for elements
- // innerText usage removed for consistency of new lines (jQuery #11153)
- if ( typeof elem.textContent === "string" ) {
- return elem.textContent;
- } else {
-
- // Traverse its children
- for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
- ret += getText( elem );
- }
- }
- } else if ( nodeType === 3 || nodeType === 4 ) {
- return elem.nodeValue;
- }
-
- // Do not include comment or processing instruction nodes
-
- return ret;
-};
-
-Expr = Sizzle.selectors = {
-
- // Can be adjusted by the user
- cacheLength: 50,
-
- createPseudo: markFunction,
-
- match: matchExpr,
-
- attrHandle: {},
-
- find: {},
-
- relative: {
- ">": { dir: "parentNode", first: true },
- " ": { dir: "parentNode" },
- "+": { dir: "previousSibling", first: true },
- "~": { dir: "previousSibling" }
- },
-
- preFilter: {
- "ATTR": function( match ) {
- match[ 1 ] = match[ 1 ].replace( runescape, funescape );
-
- // Move the given value to match[3] whether quoted or unquoted
- match[ 3 ] = ( match[ 3 ] || match[ 4 ] ||
- match[ 5 ] || "" ).replace( runescape, funescape );
-
- if ( match[ 2 ] === "~=" ) {
- match[ 3 ] = " " + match[ 3 ] + " ";
- }
-
- return match.slice( 0, 4 );
- },
-
- "CHILD": function( match ) {
-
- /* matches from matchExpr["CHILD"]
- 1 type (only|nth|...)
- 2 what (child|of-type)
- 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...)
- 4 xn-component of xn+y argument ([+-]?\d*n|)
- 5 sign of xn-component
- 6 x of xn-component
- 7 sign of y-component
- 8 y of y-component
- */
- match[ 1 ] = match[ 1 ].toLowerCase();
-
- if ( match[ 1 ].slice( 0, 3 ) === "nth" ) {
-
- // nth-* requires argument
- if ( !match[ 3 ] ) {
- Sizzle.error( match[ 0 ] );
- }
-
- // numeric x and y parameters for Expr.filter.CHILD
- // remember that false/true cast respectively to 0/1
- match[ 4 ] = +( match[ 4 ] ?
- match[ 5 ] + ( match[ 6 ] || 1 ) :
- 2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) );
- match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" );
-
- // other types prohibit arguments
- } else if ( match[ 3 ] ) {
- Sizzle.error( match[ 0 ] );
- }
-
- return match;
- },
-
- "PSEUDO": function( match ) {
- var excess,
- unquoted = !match[ 6 ] && match[ 2 ];
-
- if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) {
- return null;
- }
-
- // Accept quoted arguments as-is
- if ( match[ 3 ] ) {
- match[ 2 ] = match[ 4 ] || match[ 5 ] || "";
-
- // Strip excess characters from unquoted arguments
- } else if ( unquoted && rpseudo.test( unquoted ) &&
-
- // Get excess from tokenize (recursively)
- ( excess = tokenize( unquoted, true ) ) &&
-
- // advance to the next closing parenthesis
- ( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) {
-
- // excess is a negative index
- match[ 0 ] = match[ 0 ].slice( 0, excess );
- match[ 2 ] = unquoted.slice( 0, excess );
- }
-
- // Return only captures needed by the pseudo filter method (type and argument)
- return match.slice( 0, 3 );
- }
- },
-
- filter: {
-
- "TAG": function( nodeNameSelector ) {
- var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase();
- return nodeNameSelector === "*" ?
- function() {
- return true;
- } :
- function( elem ) {
- return elem.nodeName && elem.nodeName.toLowerCase() === nodeName;
- };
- },
-
- "CLASS": function( className ) {
- var pattern = classCache[ className + " " ];
-
- return pattern ||
- ( pattern = new RegExp( "(^|" + whitespace +
- ")" + className + "(" + whitespace + "|$)" ) ) && classCache(
- className, function( elem ) {
- return pattern.test(
- typeof elem.className === "string" && elem.className ||
- typeof elem.getAttribute !== "undefined" &&
- elem.getAttribute( "class" ) ||
- ""
- );
- } );
- },
-
- "ATTR": function( name, operator, check ) {
- return function( elem ) {
- var result = Sizzle.attr( elem, name );
-
- if ( result == null ) {
- return operator === "!=";
- }
- if ( !operator ) {
- return true;
- }
-
- result += "";
-
- /* eslint-disable max-len */
-
- return operator === "=" ? result === check :
- operator === "!=" ? result !== check :
- operator === "^=" ? check && result.indexOf( check ) === 0 :
- operator === "*=" ? check && result.indexOf( check ) > -1 :
- operator === "$=" ? check && result.slice( -check.length ) === check :
- operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 :
- operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" :
- false;
- /* eslint-enable max-len */
-
- };
- },
-
- "CHILD": function( type, what, _argument, first, last ) {
- var simple = type.slice( 0, 3 ) !== "nth",
- forward = type.slice( -4 ) !== "last",
- ofType = what === "of-type";
-
- return first === 1 && last === 0 ?
-
- // Shortcut for :nth-*(n)
- function( elem ) {
- return !!elem.parentNode;
- } :
-
- function( elem, _context, xml ) {
- var cache, uniqueCache, outerCache, node, nodeIndex, start,
- dir = simple !== forward ? "nextSibling" : "previousSibling",
- parent = elem.parentNode,
- name = ofType && elem.nodeName.toLowerCase(),
- useCache = !xml && !ofType,
- diff = false;
-
- if ( parent ) {
-
- // :(first|last|only)-(child|of-type)
- if ( simple ) {
- while ( dir ) {
- node = elem;
- while ( ( node = node[ dir ] ) ) {
- if ( ofType ?
- node.nodeName.toLowerCase() === name :
- node.nodeType === 1 ) {
-
- return false;
- }
- }
-
- // Reverse direction for :only-* (if we haven't yet done so)
- start = dir = type === "only" && !start && "nextSibling";
- }
- return true;
- }
-
- start = [ forward ? parent.firstChild : parent.lastChild ];
-
- // non-xml :nth-child(...) stores cache data on `parent`
- if ( forward && useCache ) {
-
- // Seek `elem` from a previously-cached index
-
- // ...in a gzip-friendly way
- node = parent;
- outerCache = node[ expando ] || ( node[ expando ] = {} );
-
- // Support: IE <9 only
- // Defend against cloned attroperties (jQuery gh-1709)
- uniqueCache = outerCache[ node.uniqueID ] ||
- ( outerCache[ node.uniqueID ] = {} );
-
- cache = uniqueCache[ type ] || [];
- nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
- diff = nodeIndex && cache[ 2 ];
- node = nodeIndex && parent.childNodes[ nodeIndex ];
-
- while ( ( node = ++nodeIndex && node && node[ dir ] ||
-
- // Fallback to seeking `elem` from the start
- ( diff = nodeIndex = 0 ) || start.pop() ) ) {
-
- // When found, cache indexes on `parent` and break
- if ( node.nodeType === 1 && ++diff && node === elem ) {
- uniqueCache[ type ] = [ dirruns, nodeIndex, diff ];
- break;
- }
- }
-
- } else {
-
- // Use previously-cached element index if available
- if ( useCache ) {
-
- // ...in a gzip-friendly way
- node = elem;
- outerCache = node[ expando ] || ( node[ expando ] = {} );
-
- // Support: IE <9 only
- // Defend against cloned attroperties (jQuery gh-1709)
- uniqueCache = outerCache[ node.uniqueID ] ||
- ( outerCache[ node.uniqueID ] = {} );
-
- cache = uniqueCache[ type ] || [];
- nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ];
- diff = nodeIndex;
- }
-
- // xml :nth-child(...)
- // or :nth-last-child(...) or :nth(-last)?-of-type(...)
- if ( diff === false ) {
-
- // Use the same loop as above to seek `elem` from the start
- while ( ( node = ++nodeIndex && node && node[ dir ] ||
- ( diff = nodeIndex = 0 ) || start.pop() ) ) {
-
- if ( ( ofType ?
- node.nodeName.toLowerCase() === name :
- node.nodeType === 1 ) &&
- ++diff ) {
-
- // Cache the index of each encountered element
- if ( useCache ) {
- outerCache = node[ expando ] ||
- ( node[ expando ] = {} );
-
- // Support: IE <9 only
- // Defend against cloned attroperties (jQuery gh-1709)
- uniqueCache = outerCache[ node.uniqueID ] ||
- ( outerCache[ node.uniqueID ] = {} );
-
- uniqueCache[ type ] = [ dirruns, diff ];
- }
-
- if ( node === elem ) {
- break;
- }
- }
- }
- }
- }
-
- // Incorporate the offset, then check against cycle size
- diff -= last;
- return diff === first || ( diff % first === 0 && diff / first >= 0 );
- }
- };
- },
-
- "PSEUDO": function( pseudo, argument ) {
-
- // pseudo-class names are case-insensitive
- // http://www.w3.org/TR/selectors/#pseudo-classes
- // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters
- // Remember that setFilters inherits from pseudos
- var args,
- fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] ||
- Sizzle.error( "unsupported pseudo: " + pseudo );
-
- // The user may use createPseudo to indicate that
- // arguments are needed to create the filter function
- // just as Sizzle does
- if ( fn[ expando ] ) {
- return fn( argument );
- }
-
- // But maintain support for old signatures
- if ( fn.length > 1 ) {
- args = [ pseudo, pseudo, "", argument ];
- return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ?
- markFunction( function( seed, matches ) {
- var idx,
- matched = fn( seed, argument ),
- i = matched.length;
- while ( i-- ) {
- idx = indexOf( seed, matched[ i ] );
- seed[ idx ] = !( matches[ idx ] = matched[ i ] );
- }
- } ) :
- function( elem ) {
- return fn( elem, 0, args );
- };
- }
-
- return fn;
- }
- },
-
- pseudos: {
-
- // Potentially complex pseudos
- "not": markFunction( function( selector ) {
-
- // Trim the selector passed to compile
- // to avoid treating leading and trailing
- // spaces as combinators
- var input = [],
- results = [],
- matcher = compile( selector.replace( rtrim, "$1" ) );
-
- return matcher[ expando ] ?
- markFunction( function( seed, matches, _context, xml ) {
- var elem,
- unmatched = matcher( seed, null, xml, [] ),
- i = seed.length;
-
- // Match elements unmatched by `matcher`
- while ( i-- ) {
- if ( ( elem = unmatched[ i ] ) ) {
- seed[ i ] = !( matches[ i ] = elem );
- }
- }
- } ) :
- function( elem, _context, xml ) {
- input[ 0 ] = elem;
- matcher( input, null, xml, results );
-
- // Don't keep the element (issue #299)
- input[ 0 ] = null;
- return !results.pop();
- };
- } ),
-
- "has": markFunction( function( selector ) {
- return function( elem ) {
- return Sizzle( selector, elem ).length > 0;
- };
- } ),
-
- "contains": markFunction( function( text ) {
- text = text.replace( runescape, funescape );
- return function( elem ) {
- return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1;
- };
- } ),
-
- // "Whether an element is represented by a :lang() selector
- // is based solely on the element's language value
- // being equal to the identifier C,
- // or beginning with the identifier C immediately followed by "-".
- // The matching of C against the element's language value is performed case-insensitively.
- // The identifier C does not have to be a valid language name."
- // http://www.w3.org/TR/selectors/#lang-pseudo
- "lang": markFunction( function( lang ) {
-
- // lang value must be a valid identifier
- if ( !ridentifier.test( lang || "" ) ) {
- Sizzle.error( "unsupported lang: " + lang );
- }
- lang = lang.replace( runescape, funescape ).toLowerCase();
- return function( elem ) {
- var elemLang;
- do {
- if ( ( elemLang = documentIsHTML ?
- elem.lang :
- elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) {
-
- elemLang = elemLang.toLowerCase();
- return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0;
- }
- } while ( ( elem = elem.parentNode ) && elem.nodeType === 1 );
- return false;
- };
- } ),
-
- // Miscellaneous
- "target": function( elem ) {
- var hash = window.location && window.location.hash;
- return hash && hash.slice( 1 ) === elem.id;
- },
-
- "root": function( elem ) {
- return elem === docElem;
- },
-
- "focus": function( elem ) {
- return elem === document.activeElement &&
- ( !document.hasFocus || document.hasFocus() ) &&
- !!( elem.type || elem.href || ~elem.tabIndex );
- },
-
- // Boolean properties
- "enabled": createDisabledPseudo( false ),
- "disabled": createDisabledPseudo( true ),
-
- "checked": function( elem ) {
-
- // In CSS3, :checked should return both checked and selected elements
- // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked
- var nodeName = elem.nodeName.toLowerCase();
- return ( nodeName === "input" && !!elem.checked ) ||
- ( nodeName === "option" && !!elem.selected );
- },
-
- "selected": function( elem ) {
-
- // Accessing this property makes selected-by-default
- // options in Safari work properly
- if ( elem.parentNode ) {
- // eslint-disable-next-line no-unused-expressions
- elem.parentNode.selectedIndex;
- }
-
- return elem.selected === true;
- },
-
- // Contents
- "empty": function( elem ) {
-
- // http://www.w3.org/TR/selectors/#empty-pseudo
- // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5),
- // but not by others (comment: 8; processing instruction: 7; etc.)
- // nodeType < 6 works because attributes (2) do not appear as children
- for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) {
- if ( elem.nodeType < 6 ) {
- return false;
- }
- }
- return true;
- },
-
- "parent": function( elem ) {
- return !Expr.pseudos[ "empty" ]( elem );
- },
-
- // Element/input types
- "header": function( elem ) {
- return rheader.test( elem.nodeName );
- },
-
- "input": function( elem ) {
- return rinputs.test( elem.nodeName );
- },
-
- "button": function( elem ) {
- var name = elem.nodeName.toLowerCase();
- return name === "input" && elem.type === "button" || name === "button";
- },
-
- "text": function( elem ) {
- var attr;
- return elem.nodeName.toLowerCase() === "input" &&
- elem.type === "text" &&
-
- // Support: IE<8
- // New HTML5 attribute values (e.g., "search") appear with elem.type === "text"
- ( ( attr = elem.getAttribute( "type" ) ) == null ||
- attr.toLowerCase() === "text" );
- },
-
- // Position-in-collection
- "first": createPositionalPseudo( function() {
- return [ 0 ];
- } ),
-
- "last": createPositionalPseudo( function( _matchIndexes, length ) {
- return [ length - 1 ];
- } ),
-
- "eq": createPositionalPseudo( function( _matchIndexes, length, argument ) {
- return [ argument < 0 ? argument + length : argument ];
- } ),
-
- "even": createPositionalPseudo( function( matchIndexes, length ) {
- var i = 0;
- for ( ; i < length; i += 2 ) {
- matchIndexes.push( i );
- }
- return matchIndexes;
- } ),
-
- "odd": createPositionalPseudo( function( matchIndexes, length ) {
- var i = 1;
- for ( ; i < length; i += 2 ) {
- matchIndexes.push( i );
- }
- return matchIndexes;
- } ),
-
- "lt": createPositionalPseudo( function( matchIndexes, length, argument ) {
- var i = argument < 0 ?
- argument + length :
- argument > length ?
- length :
- argument;
- for ( ; --i >= 0; ) {
- matchIndexes.push( i );
- }
- return matchIndexes;
- } ),
-
- "gt": createPositionalPseudo( function( matchIndexes, length, argument ) {
- var i = argument < 0 ? argument + length : argument;
- for ( ; ++i < length; ) {
- matchIndexes.push( i );
- }
- return matchIndexes;
- } )
- }
-};
-
-Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ];
-
-// Add button/input type pseudos
-for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) {
- Expr.pseudos[ i ] = createInputPseudo( i );
-}
-for ( i in { submit: true, reset: true } ) {
- Expr.pseudos[ i ] = createButtonPseudo( i );
-}
-
-// Easy API for creating new setFilters
-function setFilters() {}
-setFilters.prototype = Expr.filters = Expr.pseudos;
-Expr.setFilters = new setFilters();
-
-tokenize = Sizzle.tokenize = function( selector, parseOnly ) {
- var matched, match, tokens, type,
- soFar, groups, preFilters,
- cached = tokenCache[ selector + " " ];
-
- if ( cached ) {
- return parseOnly ? 0 : cached.slice( 0 );
- }
-
- soFar = selector;
- groups = [];
- preFilters = Expr.preFilter;
-
- while ( soFar ) {
-
- // Comma and first run
- if ( !matched || ( match = rcomma.exec( soFar ) ) ) {
- if ( match ) {
-
- // Don't consume trailing commas as valid
- soFar = soFar.slice( match[ 0 ].length ) || soFar;
- }
- groups.push( ( tokens = [] ) );
- }
-
- matched = false;
-
- // Combinators
- if ( ( match = rcombinators.exec( soFar ) ) ) {
- matched = match.shift();
- tokens.push( {
- value: matched,
-
- // Cast descendant combinators to space
- type: match[ 0 ].replace( rtrim, " " )
- } );
- soFar = soFar.slice( matched.length );
- }
-
- // Filters
- for ( type in Expr.filter ) {
- if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] ||
- ( match = preFilters[ type ]( match ) ) ) ) {
- matched = match.shift();
- tokens.push( {
- value: matched,
- type: type,
- matches: match
- } );
- soFar = soFar.slice( matched.length );
- }
- }
-
- if ( !matched ) {
- break;
- }
- }
-
- // Return the length of the invalid excess
- // if we're just parsing
- // Otherwise, throw an error or return tokens
- return parseOnly ?
- soFar.length :
- soFar ?
- Sizzle.error( selector ) :
-
- // Cache the tokens
- tokenCache( selector, groups ).slice( 0 );
-};
-
-function toSelector( tokens ) {
- var i = 0,
- len = tokens.length,
- selector = "";
- for ( ; i < len; i++ ) {
- selector += tokens[ i ].value;
- }
- return selector;
-}
-
-function addCombinator( matcher, combinator, base ) {
- var dir = combinator.dir,
- skip = combinator.next,
- key = skip || dir,
- checkNonElements = base && key === "parentNode",
- doneName = done++;
-
- return combinator.first ?
-
- // Check against closest ancestor/preceding element
- function( elem, context, xml ) {
- while ( ( elem = elem[ dir ] ) ) {
- if ( elem.nodeType === 1 || checkNonElements ) {
- return matcher( elem, context, xml );
- }
- }
- return false;
- } :
-
- // Check against all ancestor/preceding elements
- function( elem, context, xml ) {
- var oldCache, uniqueCache, outerCache,
- newCache = [ dirruns, doneName ];
-
- // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching
- if ( xml ) {
- while ( ( elem = elem[ dir ] ) ) {
- if ( elem.nodeType === 1 || checkNonElements ) {
- if ( matcher( elem, context, xml ) ) {
- return true;
- }
- }
- }
- } else {
- while ( ( elem = elem[ dir ] ) ) {
- if ( elem.nodeType === 1 || checkNonElements ) {
- outerCache = elem[ expando ] || ( elem[ expando ] = {} );
-
- // Support: IE <9 only
- // Defend against cloned attroperties (jQuery gh-1709)
- uniqueCache = outerCache[ elem.uniqueID ] ||
- ( outerCache[ elem.uniqueID ] = {} );
-
- if ( skip && skip === elem.nodeName.toLowerCase() ) {
- elem = elem[ dir ] || elem;
- } else if ( ( oldCache = uniqueCache[ key ] ) &&
- oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) {
-
- // Assign to newCache so results back-propagate to previous elements
- return ( newCache[ 2 ] = oldCache[ 2 ] );
- } else {
-
- // Reuse newcache so results back-propagate to previous elements
- uniqueCache[ key ] = newCache;
-
- // A match means we're done; a fail means we have to keep checking
- if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) {
- return true;
- }
- }
- }
- }
- }
- return false;
- };
-}
-
-function elementMatcher( matchers ) {
- return matchers.length > 1 ?
- function( elem, context, xml ) {
- var i = matchers.length;
- while ( i-- ) {
- if ( !matchers[ i ]( elem, context, xml ) ) {
- return false;
- }
- }
- return true;
- } :
- matchers[ 0 ];
-}
-
-function multipleContexts( selector, contexts, results ) {
- var i = 0,
- len = contexts.length;
- for ( ; i < len; i++ ) {
- Sizzle( selector, contexts[ i ], results );
- }
- return results;
-}
-
-function condense( unmatched, map, filter, context, xml ) {
- var elem,
- newUnmatched = [],
- i = 0,
- len = unmatched.length,
- mapped = map != null;
-
- for ( ; i < len; i++ ) {
- if ( ( elem = unmatched[ i ] ) ) {
- if ( !filter || filter( elem, context, xml ) ) {
- newUnmatched.push( elem );
- if ( mapped ) {
- map.push( i );
- }
- }
- }
- }
-
- return newUnmatched;
-}
-
-function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) {
- if ( postFilter && !postFilter[ expando ] ) {
- postFilter = setMatcher( postFilter );
- }
- if ( postFinder && !postFinder[ expando ] ) {
- postFinder = setMatcher( postFinder, postSelector );
- }
- return markFunction( function( seed, results, context, xml ) {
- var temp, i, elem,
- preMap = [],
- postMap = [],
- preexisting = results.length,
-
- // Get initial elements from seed or context
- elems = seed || multipleContexts(
- selector || "*",
- context.nodeType ? [ context ] : context,
- []
- ),
-
- // Prefilter to get matcher input, preserving a map for seed-results synchronization
- matcherIn = preFilter && ( seed || !selector ) ?
- condense( elems, preMap, preFilter, context, xml ) :
- elems,
-
- matcherOut = matcher ?
-
- // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results,
- postFinder || ( seed ? preFilter : preexisting || postFilter ) ?
-
- // ...intermediate processing is necessary
- [] :
-
- // ...otherwise use results directly
- results :
- matcherIn;
-
- // Find primary matches
- if ( matcher ) {
- matcher( matcherIn, matcherOut, context, xml );
- }
-
- // Apply postFilter
- if ( postFilter ) {
- temp = condense( matcherOut, postMap );
- postFilter( temp, [], context, xml );
-
- // Un-match failing elements by moving them back to matcherIn
- i = temp.length;
- while ( i-- ) {
- if ( ( elem = temp[ i ] ) ) {
- matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem );
- }
- }
- }
-
- if ( seed ) {
- if ( postFinder || preFilter ) {
- if ( postFinder ) {
-
- // Get the final matcherOut by condensing this intermediate into postFinder contexts
- temp = [];
- i = matcherOut.length;
- while ( i-- ) {
- if ( ( elem = matcherOut[ i ] ) ) {
-
- // Restore matcherIn since elem is not yet a final match
- temp.push( ( matcherIn[ i ] = elem ) );
- }
- }
- postFinder( null, ( matcherOut = [] ), temp, xml );
- }
-
- // Move matched elements from seed to results to keep them synchronized
- i = matcherOut.length;
- while ( i-- ) {
- if ( ( elem = matcherOut[ i ] ) &&
- ( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) {
-
- seed[ temp ] = !( results[ temp ] = elem );
- }
- }
- }
-
- // Add elements to results, through postFinder if defined
- } else {
- matcherOut = condense(
- matcherOut === results ?
- matcherOut.splice( preexisting, matcherOut.length ) :
- matcherOut
- );
- if ( postFinder ) {
- postFinder( null, results, matcherOut, xml );
- } else {
- push.apply( results, matcherOut );
- }
- }
- } );
-}
-
-function matcherFromTokens( tokens ) {
- var checkContext, matcher, j,
- len = tokens.length,
- leadingRelative = Expr.relative[ tokens[ 0 ].type ],
- implicitRelative = leadingRelative || Expr.relative[ " " ],
- i = leadingRelative ? 1 : 0,
-
- // The foundational matcher ensures that elements are reachable from top-level context(s)
- matchContext = addCombinator( function( elem ) {
- return elem === checkContext;
- }, implicitRelative, true ),
- matchAnyContext = addCombinator( function( elem ) {
- return indexOf( checkContext, elem ) > -1;
- }, implicitRelative, true ),
- matchers = [ function( elem, context, xml ) {
- var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || (
- ( checkContext = context ).nodeType ?
- matchContext( elem, context, xml ) :
- matchAnyContext( elem, context, xml ) );
-
- // Avoid hanging onto element (issue #299)
- checkContext = null;
- return ret;
- } ];
-
- for ( ; i < len; i++ ) {
- if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) {
- matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ];
- } else {
- matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches );
-
- // Return special upon seeing a positional matcher
- if ( matcher[ expando ] ) {
-
- // Find the next relative operator (if any) for proper handling
- j = ++i;
- for ( ; j < len; j++ ) {
- if ( Expr.relative[ tokens[ j ].type ] ) {
- break;
- }
- }
- return setMatcher(
- i > 1 && elementMatcher( matchers ),
- i > 1 && toSelector(
-
- // If the preceding token was a descendant combinator, insert an implicit any-element `*`
- tokens
- .slice( 0, i - 1 )
- .concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } )
- ).replace( rtrim, "$1" ),
- matcher,
- i < j && matcherFromTokens( tokens.slice( i, j ) ),
- j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ),
- j < len && toSelector( tokens )
- );
- }
- matchers.push( matcher );
- }
- }
-
- return elementMatcher( matchers );
-}
-
-function matcherFromGroupMatchers( elementMatchers, setMatchers ) {
- var bySet = setMatchers.length > 0,
- byElement = elementMatchers.length > 0,
- superMatcher = function( seed, context, xml, results, outermost ) {
- var elem, j, matcher,
- matchedCount = 0,
- i = "0",
- unmatched = seed && [],
- setMatched = [],
- contextBackup = outermostContext,
-
- // We must always have either seed elements or outermost context
- elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ),
-
- // Use integer dirruns iff this is the outermost matcher
- dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ),
- len = elems.length;
-
- if ( outermost ) {
-
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- outermostContext = context == document || context || outermost;
- }
-
- // Add elements passing elementMatchers directly to results
- // Support: IE<9, Safari
- // Tolerate NodeList properties (IE: "length"; Safari: <number>) matching elements by id
- for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) {
- if ( byElement && elem ) {
- j = 0;
-
- // Support: IE 11+, Edge 17 - 18+
- // IE/Edge sometimes throw a "Permission denied" error when strict-comparing
- // two documents; shallow comparisons work.
- // eslint-disable-next-line eqeqeq
- if ( !context && elem.ownerDocument != document ) {
- setDocument( elem );
- xml = !documentIsHTML;
- }
- while ( ( matcher = elementMatchers[ j++ ] ) ) {
- if ( matcher( elem, context || document, xml ) ) {
- results.push( elem );
- break;
- }
- }
- if ( outermost ) {
- dirruns = dirrunsUnique;
- }
- }
-
- // Track unmatched elements for set filters
- if ( bySet ) {
-
- // They will have gone through all possible matchers
- if ( ( elem = !matcher && elem ) ) {
- matchedCount--;
- }
-
- // Lengthen the array for every element, matched or not
- if ( seed ) {
- unmatched.push( elem );
- }
- }
- }
-
- // `i` is now the count of elements visited above, and adding it to `matchedCount`
- // makes the latter nonnegative.
- matchedCount += i;
-
- // Apply set filters to unmatched elements
- // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount`
- // equals `i`), unless we didn't visit _any_ elements in the above loop because we have
- // no element matchers and no seed.
- // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that
- // case, which will result in a "00" `matchedCount` that differs from `i` but is also
- // numerically zero.
- if ( bySet && i !== matchedCount ) {
- j = 0;
- while ( ( matcher = setMatchers[ j++ ] ) ) {
- matcher( unmatched, setMatched, context, xml );
- }
-
- if ( seed ) {
-
- // Reintegrate element matches to eliminate the need for sorting
- if ( matchedCount > 0 ) {
- while ( i-- ) {
- if ( !( unmatched[ i ] || setMatched[ i ] ) ) {
- setMatched[ i ] = pop.call( results );
- }
- }
- }
-
- // Discard index placeholder values to get only actual matches
- setMatched = condense( setMatched );
- }
-
- // Add matches to results
- push.apply( results, setMatched );
-
- // Seedless set matches succeeding multiple successful matchers stipulate sorting
- if ( outermost && !seed && setMatched.length > 0 &&
- ( matchedCount + setMatchers.length ) > 1 ) {
-
- Sizzle.uniqueSort( results );
- }
- }
-
- // Override manipulation of globals by nested matchers
- if ( outermost ) {
- dirruns = dirrunsUnique;
- outermostContext = contextBackup;
- }
-
- return unmatched;
- };
-
- return bySet ?
- markFunction( superMatcher ) :
- superMatcher;
-}
-
-compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) {
- var i,
- setMatchers = [],
- elementMatchers = [],
- cached = compilerCache[ selector + " " ];
-
- if ( !cached ) {
-
- // Generate a function of recursive functions that can be used to check each element
- if ( !match ) {
- match = tokenize( selector );
- }
- i = match.length;
- while ( i-- ) {
- cached = matcherFromTokens( match[ i ] );
- if ( cached[ expando ] ) {
- setMatchers.push( cached );
- } else {
- elementMatchers.push( cached );
- }
- }
-
- // Cache the compiled function
- cached = compilerCache(
- selector,
- matcherFromGroupMatchers( elementMatchers, setMatchers )
- );
-
- // Save selector and tokenization
- cached.selector = selector;
- }
- return cached;
-};
-
-/**
- * A low-level selection function that works with Sizzle's compiled
- * selector functions
- * @param {String|Function} selector A selector or a pre-compiled
- * selector function built with Sizzle.compile
- * @param {Element} context
- * @param {Array} [results]
- * @param {Array} [seed] A set of elements to match against
- */
-select = Sizzle.select = function( selector, context, results, seed ) {
- var i, tokens, token, type, find,
- compiled = typeof selector === "function" && selector,
- match = !seed && tokenize( ( selector = compiled.selector || selector ) );
-
- results = results || [];
-
- // Try to minimize operations if there is only one selector in the list and no seed
- // (the latter of which guarantees us context)
- if ( match.length === 1 ) {
-
- // Reduce context if the leading compound selector is an ID
- tokens = match[ 0 ] = match[ 0 ].slice( 0 );
- if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" &&
- context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) {
-
- context = ( Expr.find[ "ID" ]( token.matches[ 0 ]
- .replace( runescape, funescape ), context ) || [] )[ 0 ];
- if ( !context ) {
- return results;
-
- // Precompiled matchers will still verify ancestry, so step up a level
- } else if ( compiled ) {
- context = context.parentNode;
- }
-
- selector = selector.slice( tokens.shift().value.length );
- }
-
- // Fetch a seed set for right-to-left matching
- i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length;
- while ( i-- ) {
- token = tokens[ i ];
-
- // Abort if we hit a combinator
- if ( Expr.relative[ ( type = token.type ) ] ) {
- break;
- }
- if ( ( find = Expr.find[ type ] ) ) {
-
- // Search, expanding context for leading sibling combinators
- if ( ( seed = find(
- token.matches[ 0 ].replace( runescape, funescape ),
- rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) ||
- context
- ) ) ) {
-
- // If seed is empty or no tokens remain, we can return early
- tokens.splice( i, 1 );
- selector = seed.length && toSelector( tokens );
- if ( !selector ) {
- push.apply( results, seed );
- return results;
- }
-
- break;
- }
- }
- }
- }
-
- // Compile and execute a filtering function if one is not provided
- // Provide `match` to avoid retokenization if we modified the selector above
- ( compiled || compile( selector, match ) )(
- seed,
- context,
- !documentIsHTML,
- results,
- !context || rsibling.test( selector ) && testContext( context.parentNode ) || context
- );
- return results;
-};
-
-// One-time assignments
-
-// Sort stability
-support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando;
-
-// Support: Chrome 14-35+
-// Always assume duplicates if they aren't passed to the comparison function
-support.detectDuplicates = !!hasDuplicate;
-
-// Initialize against the default document
-setDocument();
-
-// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27)
-// Detached nodes confoundingly follow *each other*
-support.sortDetached = assert( function( el ) {
-
- // Should return 1, but returns 4 (following)
- return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1;
-} );
-
-// Support: IE<8
-// Prevent attribute/property "interpolation"
-// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx
-if ( !assert( function( el ) {
- el.innerHTML = "<a href='#'></a>";
- return el.firstChild.getAttribute( "href" ) === "#";
-} ) ) {
- addHandle( "type|href|height|width", function( elem, name, isXML ) {
- if ( !isXML ) {
- return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 );
- }
- } );
-}
-
-// Support: IE<9
-// Use defaultValue in place of getAttribute("value")
-if ( !support.attributes || !assert( function( el ) {
- el.innerHTML = "<input/>";
- el.firstChild.setAttribute( "value", "" );
- return el.firstChild.getAttribute( "value" ) === "";
-} ) ) {
- addHandle( "value", function( elem, _name, isXML ) {
- if ( !isXML && elem.nodeName.toLowerCase() === "input" ) {
- return elem.defaultValue;
- }
- } );
-}
-
-// Support: IE<9
-// Use getAttributeNode to fetch booleans when getAttribute lies
-if ( !assert( function( el ) {
- return el.getAttribute( "disabled" ) == null;
-} ) ) {
- addHandle( booleans, function( elem, name, isXML ) {
- var val;
- if ( !isXML ) {
- return elem[ name ] === true ? name.toLowerCase() :
- ( val = elem.getAttributeNode( name ) ) && val.specified ?
- val.value :
- null;
- }
- } );
-}
-
-return Sizzle;
-
-} )( window );
-
-
-
-jQuery.find = Sizzle;
-jQuery.expr = Sizzle.selectors;
-
-// Deprecated
-jQuery.expr[ ":" ] = jQuery.expr.pseudos;
-jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort;
-jQuery.text = Sizzle.getText;
-jQuery.isXMLDoc = Sizzle.isXML;
-jQuery.contains = Sizzle.contains;
-jQuery.escapeSelector = Sizzle.escape;
-
-
-
-
-var dir = function( elem, dir, until ) {
- var matched = [],
- truncate = until !== undefined;
-
- while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) {
- if ( elem.nodeType === 1 ) {
- if ( truncate && jQuery( elem ).is( until ) ) {
- break;
- }
- matched.push( elem );
- }
- }
- return matched;
-};
-
-
-var siblings = function( n, elem ) {
- var matched = [];
-
- for ( ; n; n = n.nextSibling ) {
- if ( n.nodeType === 1 && n !== elem ) {
- matched.push( n );
- }
- }
-
- return matched;
-};
-
-
-var rneedsContext = jQuery.expr.match.needsContext;
-
-
-
-function nodeName( elem, name ) {
-
- return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase();
-
-}
-var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i );
-
-
-
-// Implement the identical functionality for filter and not
-function winnow( elements, qualifier, not ) {
- if ( isFunction( qualifier ) ) {
- return jQuery.grep( elements, function( elem, i ) {
- return !!qualifier.call( elem, i, elem ) !== not;
- } );
- }
-
- // Single element
- if ( qualifier.nodeType ) {
- return jQuery.grep( elements, function( elem ) {
- return ( elem === qualifier ) !== not;
- } );
- }
-
- // Arraylike of elements (jQuery, arguments, Array)
- if ( typeof qualifier !== "string" ) {
- return jQuery.grep( elements, function( elem ) {
- return ( indexOf.call( qualifier, elem ) > -1 ) !== not;
- } );
- }
-
- // Filtered directly for both simple and complex selectors
- return jQuery.filter( qualifier, elements, not );
-}
-
-jQuery.filter = function( expr, elems, not ) {
- var elem = elems[ 0 ];
-
- if ( not ) {
- expr = ":not(" + expr + ")";
- }
-
- if ( elems.length === 1 && elem.nodeType === 1 ) {
- return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : [];
- }
-
- return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) {
- return elem.nodeType === 1;
- } ) );
-};
-
-jQuery.fn.extend( {
- find: function( selector ) {
- var i, ret,
- len = this.length,
- self = this;
-
- if ( typeof selector !== "string" ) {
- return this.pushStack( jQuery( selector ).filter( function() {
- for ( i = 0; i < len; i++ ) {
- if ( jQuery.contains( self[ i ], this ) ) {
- return true;
- }
- }
- } ) );
- }
-
- ret = this.pushStack( [] );
-
- for ( i = 0; i < len; i++ ) {
- jQuery.find( selector, self[ i ], ret );
- }
-
- return len > 1 ? jQuery.uniqueSort( ret ) : ret;
- },
- filter: function( selector ) {
- return this.pushStack( winnow( this, selector || [], false ) );
- },
- not: function( selector ) {
- return this.pushStack( winnow( this, selector || [], true ) );
- },
- is: function( selector ) {
- return !!winnow(
- this,
-
- // If this is a positional/relative selector, check membership in the returned set
- // so $("p:first").is("p:last") won't return true for a doc with two "p".
- typeof selector === "string" && rneedsContext.test( selector ) ?
- jQuery( selector ) :
- selector || [],
- false
- ).length;
- }
-} );
-
-
-// Initialize a jQuery object
-
-
-// A central reference to the root jQuery(document)
-var rootjQuery,
-
- // A simple way to check for HTML strings
- // Prioritize #id over <tag> to avoid XSS via location.hash (#9521)
- // Strict HTML recognition (#11290: must start with <)
- // Shortcut simple #id case for speed
- rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/,
-
- init = jQuery.fn.init = function( selector, context, root ) {
- var match, elem;
-
- // HANDLE: $(""), $(null), $(undefined), $(false)
- if ( !selector ) {
- return this;
- }
-
- // Method init() accepts an alternate rootjQuery
- // so migrate can support jQuery.sub (gh-2101)
- root = root || rootjQuery;
-
- // Handle HTML strings
- if ( typeof selector === "string" ) {
- if ( selector[ 0 ] === "<" &&
- selector[ selector.length - 1 ] === ">" &&
- selector.length >= 3 ) {
-
- // Assume that strings that start and end with <> are HTML and skip the regex check
- match = [ null, selector, null ];
-
- } else {
- match = rquickExpr.exec( selector );
- }
-
- // Match html or make sure no context is specified for #id
- if ( match && ( match[ 1 ] || !context ) ) {
-
- // HANDLE: $(html) -> $(array)
- if ( match[ 1 ] ) {
- context = context instanceof jQuery ? context[ 0 ] : context;
-
- // Option to run scripts is true for back-compat
- // Intentionally let the error be thrown if parseHTML is not present
- jQuery.merge( this, jQuery.parseHTML(
- match[ 1 ],
- context && context.nodeType ? context.ownerDocument || context : document,
- true
- ) );
-
- // HANDLE: $(html, props)
- if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) {
- for ( match in context ) {
-
- // Properties of context are called as methods if possible
- if ( isFunction( this[ match ] ) ) {
- this[ match ]( context[ match ] );
-
- // ...and otherwise set as attributes
- } else {
- this.attr( match, context[ match ] );
- }
- }
- }
-
- return this;
-
- // HANDLE: $(#id)
- } else {
- elem = document.getElementById( match[ 2 ] );
-
- if ( elem ) {
-
- // Inject the element directly into the jQuery object
- this[ 0 ] = elem;
- this.length = 1;
- }
- return this;
- }
-
- // HANDLE: $(expr, $(...))
- } else if ( !context || context.jquery ) {
- return ( context || root ).find( selector );
-
- // HANDLE: $(expr, context)
- // (which is just equivalent to: $(context).find(expr)
- } else {
- return this.constructor( context ).find( selector );
- }
-
- // HANDLE: $(DOMElement)
- } else if ( selector.nodeType ) {
- this[ 0 ] = selector;
- this.length = 1;
- return this;
-
- // HANDLE: $(function)
- // Shortcut for document ready
- } else if ( isFunction( selector ) ) {
- return root.ready !== undefined ?
- root.ready( selector ) :
-
- // Execute immediately if ready is not present
- selector( jQuery );
- }
-
- return jQuery.makeArray( selector, this );
- };
-
-// Give the init function the jQuery prototype for later instantiation
-init.prototype = jQuery.fn;
-
-// Initialize central reference
-rootjQuery = jQuery( document );
-
-
-var rparentsprev = /^(?:parents|prev(?:Until|All))/,
-
- // Methods guaranteed to produce a unique set when starting from a unique set
- guaranteedUnique = {
- children: true,
- contents: true,
- next: true,
- prev: true
- };
-
-jQuery.fn.extend( {
- has: function( target ) {
- var targets = jQuery( target, this ),
- l = targets.length;
-
- return this.filter( function() {
- var i = 0;
- for ( ; i < l; i++ ) {
- if ( jQuery.contains( this, targets[ i ] ) ) {
- return true;
- }
- }
- } );
- },
-
- closest: function( selectors, context ) {
- var cur,
- i = 0,
- l = this.length,
- matched = [],
- targets = typeof selectors !== "string" && jQuery( selectors );
-
- // Positional selectors never match, since there's no _selection_ context
- if ( !rneedsContext.test( selectors ) ) {
- for ( ; i < l; i++ ) {
- for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) {
-
- // Always skip document fragments
- if ( cur.nodeType < 11 && ( targets ?
- targets.index( cur ) > -1 :
-
- // Don't pass non-elements to Sizzle
- cur.nodeType === 1 &&
- jQuery.find.matchesSelector( cur, selectors ) ) ) {
-
- matched.push( cur );
- break;
- }
- }
- }
- }
-
- return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched );
- },
-
- // Determine the position of an element within the set
- index: function( elem ) {
-
- // No argument, return index in parent
- if ( !elem ) {
- return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1;
- }
-
- // Index in selector
- if ( typeof elem === "string" ) {
- return indexOf.call( jQuery( elem ), this[ 0 ] );
- }
-
- // Locate the position of the desired element
- return indexOf.call( this,
-
- // If it receives a jQuery object, the first element is used
- elem.jquery ? elem[ 0 ] : elem
- );
- },
-
- add: function( selector, context ) {
- return this.pushStack(
- jQuery.uniqueSort(
- jQuery.merge( this.get(), jQuery( selector, context ) )
- )
- );
- },
-
- addBack: function( selector ) {
- return this.add( selector == null ?
- this.prevObject : this.prevObject.filter( selector )
- );
- }
-} );
-
-function sibling( cur, dir ) {
- while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {}
- return cur;
-}
-
-jQuery.each( {
- parent: function( elem ) {
- var parent = elem.parentNode;
- return parent && parent.nodeType !== 11 ? parent : null;
- },
- parents: function( elem ) {
- return dir( elem, "parentNode" );
- },
- parentsUntil: function( elem, _i, until ) {
- return dir( elem, "parentNode", until );
- },
- next: function( elem ) {
- return sibling( elem, "nextSibling" );
- },
- prev: function( elem ) {
- return sibling( elem, "previousSibling" );
- },
- nextAll: function( elem ) {
- return dir( elem, "nextSibling" );
- },
- prevAll: function( elem ) {
- return dir( elem, "previousSibling" );
- },
- nextUntil: function( elem, _i, until ) {
- return dir( elem, "nextSibling", until );
- },
- prevUntil: function( elem, _i, until ) {
- return dir( elem, "previousSibling", until );
- },
- siblings: function( elem ) {
- return siblings( ( elem.parentNode || {} ).firstChild, elem );
- },
- children: function( elem ) {
- return siblings( elem.firstChild );
- },
- contents: function( elem ) {
- if ( elem.contentDocument != null &&
-
- // Support: IE 11+
- // <object> elements with no `data` attribute has an object
- // `contentDocument` with a `null` prototype.
- getProto( elem.contentDocument ) ) {
-
- return elem.contentDocument;
- }
-
- // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only
- // Treat the template element as a regular one in browsers that
- // don't support it.
- if ( nodeName( elem, "template" ) ) {
- elem = elem.content || elem;
- }
-
- return jQuery.merge( [], elem.childNodes );
- }
-}, function( name, fn ) {
- jQuery.fn[ name ] = function( until, selector ) {
- var matched = jQuery.map( this, fn, until );
-
- if ( name.slice( -5 ) !== "Until" ) {
- selector = until;
- }
-
- if ( selector && typeof selector === "string" ) {
- matched = jQuery.filter( selector, matched );
- }
-
- if ( this.length > 1 ) {
-
- // Remove duplicates
- if ( !guaranteedUnique[ name ] ) {
- jQuery.uniqueSort( matched );
- }
-
- // Reverse order for parents* and prev-derivatives
- if ( rparentsprev.test( name ) ) {
- matched.reverse();
- }
- }
-
- return this.pushStack( matched );
- };
-} );
-var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g );
-
-
-
-// Convert String-formatted options into Object-formatted ones
-function createOptions( options ) {
- var object = {};
- jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) {
- object[ flag ] = true;
- } );
- return object;
-}
-
-/*
- * Create a callback list using the following parameters:
- *
- * options: an optional list of space-separated options that will change how
- * the callback list behaves or a more traditional option object
- *
- * By default a callback list will act like an event callback list and can be
- * "fired" multiple times.
- *
- * Possible options:
- *
- * once: will ensure the callback list can only be fired once (like a Deferred)
- *
- * memory: will keep track of previous values and will call any callback added
- * after the list has been fired right away with the latest "memorized"
- * values (like a Deferred)
- *
- * unique: will ensure a callback can only be added once (no duplicate in the list)
- *
- * stopOnFalse: interrupt callings when a callback returns false
- *
- */
-jQuery.Callbacks = function( options ) {
-
- // Convert options from String-formatted to Object-formatted if needed
- // (we check in cache first)
- options = typeof options === "string" ?
- createOptions( options ) :
- jQuery.extend( {}, options );
-
- var // Flag to know if list is currently firing
- firing,
-
- // Last fire value for non-forgettable lists
- memory,
-
- // Flag to know if list was already fired
- fired,
-
- // Flag to prevent firing
- locked,
-
- // Actual callback list
- list = [],
-
- // Queue of execution data for repeatable lists
- queue = [],
-
- // Index of currently firing callback (modified by add/remove as needed)
- firingIndex = -1,
-
- // Fire callbacks
- fire = function() {
-
- // Enforce single-firing
- locked = locked || options.once;
-
- // Execute callbacks for all pending executions,
- // respecting firingIndex overrides and runtime changes
- fired = firing = true;
- for ( ; queue.length; firingIndex = -1 ) {
- memory = queue.shift();
- while ( ++firingIndex < list.length ) {
-
- // Run callback and check for early termination
- if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false &&
- options.stopOnFalse ) {
-
- // Jump to end and forget the data so .add doesn't re-fire
- firingIndex = list.length;
- memory = false;
- }
- }
- }
-
- // Forget the data if we're done with it
- if ( !options.memory ) {
- memory = false;
- }
-
- firing = false;
-
- // Clean up if we're done firing for good
- if ( locked ) {
-
- // Keep an empty list if we have data for future add calls
- if ( memory ) {
- list = [];
-
- // Otherwise, this object is spent
- } else {
- list = "";
- }
- }
- },
-
- // Actual Callbacks object
- self = {
-
- // Add a callback or a collection of callbacks to the list
- add: function() {
- if ( list ) {
-
- // If we have memory from a past run, we should fire after adding
- if ( memory && !firing ) {
- firingIndex = list.length - 1;
- queue.push( memory );
- }
-
- ( function add( args ) {
- jQuery.each( args, function( _, arg ) {
- if ( isFunction( arg ) ) {
- if ( !options.unique || !self.has( arg ) ) {
- list.push( arg );
- }
- } else if ( arg && arg.length && toType( arg ) !== "string" ) {
-
- // Inspect recursively
- add( arg );
- }
- } );
- } )( arguments );
-
- if ( memory && !firing ) {
- fire();
- }
- }
- return this;
- },
-
- // Remove a callback from the list
- remove: function() {
- jQuery.each( arguments, function( _, arg ) {
- var index;
- while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) {
- list.splice( index, 1 );
-
- // Handle firing indexes
- if ( index <= firingIndex ) {
- firingIndex--;
- }
- }
- } );
- return this;
- },
-
- // Check if a given callback is in the list.
- // If no argument is given, return whether or not list has callbacks attached.
- has: function( fn ) {
- return fn ?
- jQuery.inArray( fn, list ) > -1 :
- list.length > 0;
- },
-
- // Remove all callbacks from the list
- empty: function() {
- if ( list ) {
- list = [];
- }
- return this;
- },
-
- // Disable .fire and .add
- // Abort any current/pending executions
- // Clear all callbacks and values
- disable: function() {
- locked = queue = [];
- list = memory = "";
- return this;
- },
- disabled: function() {
- return !list;
- },
-
- // Disable .fire
- // Also disable .add unless we have memory (since it would have no effect)
- // Abort any pending executions
- lock: function() {
- locked = queue = [];
- if ( !memory && !firing ) {
- list = memory = "";
- }
- return this;
- },
- locked: function() {
- return !!locked;
- },
-
- // Call all callbacks with the given context and arguments
- fireWith: function( context, args ) {
- if ( !locked ) {
- args = args || [];
- args = [ context, args.slice ? args.slice() : args ];
- queue.push( args );
- if ( !firing ) {
- fire();
- }
- }
- return this;
- },
-
- // Call all the callbacks with the given arguments
- fire: function() {
- self.fireWith( this, arguments );
- return this;
- },
-
- // To know if the callbacks have already been called at least once
- fired: function() {
- return !!fired;
- }
- };
-
- return self;
-};
-
-
-function Identity( v ) {
- return v;
-}
-function Thrower( ex ) {
- throw ex;
-}
-
-function adoptValue( value, resolve, reject, noValue ) {
- var method;
-
- try {
-
- // Check for promise aspect first to privilege synchronous behavior
- if ( value && isFunction( ( method = value.promise ) ) ) {
- method.call( value ).done( resolve ).fail( reject );
-
- // Other thenables
- } else if ( value && isFunction( ( method = value.then ) ) ) {
- method.call( value, resolve, reject );
-
- // Other non-thenables
- } else {
-
- // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer:
- // * false: [ value ].slice( 0 ) => resolve( value )
- // * true: [ value ].slice( 1 ) => resolve()
- resolve.apply( undefined, [ value ].slice( noValue ) );
- }
-
- // For Promises/A+, convert exceptions into rejections
- // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in
- // Deferred#then to conditionally suppress rejection.
- } catch ( value ) {
-
- // Support: Android 4.0 only
- // Strict mode functions invoked without .call/.apply get global-object context
- reject.apply( undefined, [ value ] );
- }
-}
-
-jQuery.extend( {
-
- Deferred: function( func ) {
- var tuples = [
-
- // action, add listener, callbacks,
- // ... .then handlers, argument index, [final state]
- [ "notify", "progress", jQuery.Callbacks( "memory" ),
- jQuery.Callbacks( "memory" ), 2 ],
- [ "resolve", "done", jQuery.Callbacks( "once memory" ),
- jQuery.Callbacks( "once memory" ), 0, "resolved" ],
- [ "reject", "fail", jQuery.Callbacks( "once memory" ),
- jQuery.Callbacks( "once memory" ), 1, "rejected" ]
- ],
- state = "pending",
- promise = {
- state: function() {
- return state;
- },
- always: function() {
- deferred.done( arguments ).fail( arguments );
- return this;
- },
- "catch": function( fn ) {
- return promise.then( null, fn );
- },
-
- // Keep pipe for back-compat
- pipe: function( /* fnDone, fnFail, fnProgress */ ) {
- var fns = arguments;
-
- return jQuery.Deferred( function( newDefer ) {
- jQuery.each( tuples, function( _i, tuple ) {
-
- // Map tuples (progress, done, fail) to arguments (done, fail, progress)
- var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ];
-
- // deferred.progress(function() { bind to newDefer or newDefer.notify })
- // deferred.done(function() { bind to newDefer or newDefer.resolve })
- // deferred.fail(function() { bind to newDefer or newDefer.reject })
- deferred[ tuple[ 1 ] ]( function() {
- var returned = fn && fn.apply( this, arguments );
- if ( returned && isFunction( returned.promise ) ) {
- returned.promise()
- .progress( newDefer.notify )
- .done( newDefer.resolve )
- .fail( newDefer.reject );
- } else {
- newDefer[ tuple[ 0 ] + "With" ](
- this,
- fn ? [ returned ] : arguments
- );
- }
- } );
- } );
- fns = null;
- } ).promise();
- },
- then: function( onFulfilled, onRejected, onProgress ) {
- var maxDepth = 0;
- function resolve( depth, deferred, handler, special ) {
- return function() {
- var that = this,
- args = arguments,
- mightThrow = function() {
- var returned, then;
-
- // Support: Promises/A+ section 2.3.3.3.3
- // https://promisesaplus.com/#point-59
- // Ignore double-resolution attempts
- if ( depth < maxDepth ) {
- return;
- }
-
- returned = handler.apply( that, args );
-
- // Support: Promises/A+ section 2.3.1
- // https://promisesaplus.com/#point-48
- if ( returned === deferred.promise() ) {
- throw new TypeError( "Thenable self-resolution" );
- }
-
- // Support: Promises/A+ sections 2.3.3.1, 3.5
- // https://promisesaplus.com/#point-54
- // https://promisesaplus.com/#point-75
- // Retrieve `then` only once
- then = returned &&
-
- // Support: Promises/A+ section 2.3.4
- // https://promisesaplus.com/#point-64
- // Only check objects and functions for thenability
- ( typeof returned === "object" ||
- typeof returned === "function" ) &&
- returned.then;
-
- // Handle a returned thenable
- if ( isFunction( then ) ) {
-
- // Special processors (notify) just wait for resolution
- if ( special ) {
- then.call(
- returned,
- resolve( maxDepth, deferred, Identity, special ),
- resolve( maxDepth, deferred, Thrower, special )
- );
-
- // Normal processors (resolve) also hook into progress
- } else {
-
- // ...and disregard older resolution values
- maxDepth++;
-
- then.call(
- returned,
- resolve( maxDepth, deferred, Identity, special ),
- resolve( maxDepth, deferred, Thrower, special ),
- resolve( maxDepth, deferred, Identity,
- deferred.notifyWith )
- );
- }
-
- // Handle all other returned values
- } else {
-
- // Only substitute handlers pass on context
- // and multiple values (non-spec behavior)
- if ( handler !== Identity ) {
- that = undefined;
- args = [ returned ];
- }
-
- // Process the value(s)
- // Default process is resolve
- ( special || deferred.resolveWith )( that, args );
- }
- },
-
- // Only normal processors (resolve) catch and reject exceptions
- process = special ?
- mightThrow :
- function() {
- try {
- mightThrow();
- } catch ( e ) {
-
- if ( jQuery.Deferred.exceptionHook ) {
- jQuery.Deferred.exceptionHook( e,
- process.stackTrace );
- }
-
- // Support: Promises/A+ section 2.3.3.3.4.1
- // https://promisesaplus.com/#point-61
- // Ignore post-resolution exceptions
- if ( depth + 1 >= maxDepth ) {
-
- // Only substitute handlers pass on context
- // and multiple values (non-spec behavior)
- if ( handler !== Thrower ) {
- that = undefined;
- args = [ e ];
- }
-
- deferred.rejectWith( that, args );
- }
- }
- };
-
- // Support: Promises/A+ section 2.3.3.3.1
- // https://promisesaplus.com/#point-57
- // Re-resolve promises immediately to dodge false rejection from
- // subsequent errors
- if ( depth ) {
- process();
- } else {
-
- // Call an optional hook to record the stack, in case of exception
- // since it's otherwise lost when execution goes async
- if ( jQuery.Deferred.getStackHook ) {
- process.stackTrace = jQuery.Deferred.getStackHook();
- }
- window.setTimeout( process );
- }
- };
- }
-
- return jQuery.Deferred( function( newDefer ) {
-
- // progress_handlers.add( ... )
- tuples[ 0 ][ 3 ].add(
- resolve(
- 0,
- newDefer,
- isFunction( onProgress ) ?
- onProgress :
- Identity,
- newDefer.notifyWith
- )
- );
-
- // fulfilled_handlers.add( ... )
- tuples[ 1 ][ 3 ].add(
- resolve(
- 0,
- newDefer,
- isFunction( onFulfilled ) ?
- onFulfilled :
- Identity
- )
- );
-
- // rejected_handlers.add( ... )
- tuples[ 2 ][ 3 ].add(
- resolve(
- 0,
- newDefer,
- isFunction( onRejected ) ?
- onRejected :
- Thrower
- )
- );
- } ).promise();
- },
-
- // Get a promise for this deferred
- // If obj is provided, the promise aspect is added to the object
- promise: function( obj ) {
- return obj != null ? jQuery.extend( obj, promise ) : promise;
- }
- },
- deferred = {};
-
- // Add list-specific methods
- jQuery.each( tuples, function( i, tuple ) {
- var list = tuple[ 2 ],
- stateString = tuple[ 5 ];
-
- // promise.progress = list.add
- // promise.done = list.add
- // promise.fail = list.add
- promise[ tuple[ 1 ] ] = list.add;
-
- // Handle state
- if ( stateString ) {
- list.add(
- function() {
-
- // state = "resolved" (i.e., fulfilled)
- // state = "rejected"
- state = stateString;
- },
-
- // rejected_callbacks.disable
- // fulfilled_callbacks.disable
- tuples[ 3 - i ][ 2 ].disable,
-
- // rejected_handlers.disable
- // fulfilled_handlers.disable
- tuples[ 3 - i ][ 3 ].disable,
-
- // progress_callbacks.lock
- tuples[ 0 ][ 2 ].lock,
-
- // progress_handlers.lock
- tuples[ 0 ][ 3 ].lock
- );
- }
-
- // progress_handlers.fire
- // fulfilled_handlers.fire
- // rejected_handlers.fire
- list.add( tuple[ 3 ].fire );
-
- // deferred.notify = function() { deferred.notifyWith(...) }
- // deferred.resolve = function() { deferred.resolveWith(...) }
- // deferred.reject = function() { deferred.rejectWith(...) }
- deferred[ tuple[ 0 ] ] = function() {
- deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments );
- return this;
- };
-
- // deferred.notifyWith = list.fireWith
- // deferred.resolveWith = list.fireWith
- // deferred.rejectWith = list.fireWith
- deferred[ tuple[ 0 ] + "With" ] = list.fireWith;
- } );
-
- // Make the deferred a promise
- promise.promise( deferred );
-
- // Call given func if any
- if ( func ) {
- func.call( deferred, deferred );
- }
-
- // All done!
- return deferred;
- },
-
- // Deferred helper
- when: function( singleValue ) {
- var
-
- // count of uncompleted subordinates
- remaining = arguments.length,
-
- // count of unprocessed arguments
- i = remaining,
-
- // subordinate fulfillment data
- resolveContexts = Array( i ),
- resolveValues = slice.call( arguments ),
-
- // the primary Deferred
- primary = jQuery.Deferred(),
-
- // subordinate callback factory
- updateFunc = function( i ) {
- return function( value ) {
- resolveContexts[ i ] = this;
- resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value;
- if ( !( --remaining ) ) {
- primary.resolveWith( resolveContexts, resolveValues );
- }
- };
- };
-
- // Single- and empty arguments are adopted like Promise.resolve
- if ( remaining <= 1 ) {
- adoptValue( singleValue, primary.done( updateFunc( i ) ).resolve, primary.reject,
- !remaining );
-
- // Use .then() to unwrap secondary thenables (cf. gh-3000)
- if ( primary.state() === "pending" ||
- isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) {
-
- return primary.then();
- }
- }
-
- // Multiple arguments are aggregated like Promise.all array elements
- while ( i-- ) {
- adoptValue( resolveValues[ i ], updateFunc( i ), primary.reject );
- }
-
- return primary.promise();
- }
-} );
-
-
-// These usually indicate a programmer mistake during development,
-// warn about them ASAP rather than swallowing them by default.
-var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;
-
-jQuery.Deferred.exceptionHook = function( error, stack ) {
-
- // Support: IE 8 - 9 only
- // Console exists when dev tools are open, which can happen at any time
- if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) {
- window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack );
- }
-};
-
-
-
-
-jQuery.readyException = function( error ) {
- window.setTimeout( function() {
- throw error;
- } );
-};
-
-
-
-
-// The deferred used on DOM ready
-var readyList = jQuery.Deferred();
-
-jQuery.fn.ready = function( fn ) {
-
- readyList
- .then( fn )
-
- // Wrap jQuery.readyException in a function so that the lookup
- // happens at the time of error handling instead of callback
- // registration.
- .catch( function( error ) {
- jQuery.readyException( error );
- } );
-
- return this;
-};
-
-jQuery.extend( {
-
- // Is the DOM ready to be used? Set to true once it occurs.
- isReady: false,
-
- // A counter to track how many items to wait for before
- // the ready event fires. See #6781
- readyWait: 1,
-
- // Handle when the DOM is ready
- ready: function( wait ) {
-
- // Abort if there are pending holds or we're already ready
- if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) {
- return;
- }
-
- // Remember that the DOM is ready
- jQuery.isReady = true;
-
- // If a normal DOM Ready event fired, decrement, and wait if need be
- if ( wait !== true && --jQuery.readyWait > 0 ) {
- return;
- }
-
- // If there are functions bound, to execute
- readyList.resolveWith( document, [ jQuery ] );
- }
-} );
-
-jQuery.ready.then = readyList.then;
-
-// The ready event handler and self cleanup method
-function completed() {
- document.removeEventListener( "DOMContentLoaded", completed );
- window.removeEventListener( "load", completed );
- jQuery.ready();
-}
-
-// Catch cases where $(document).ready() is called
-// after the browser event has already occurred.
-// Support: IE <=9 - 10 only
-// Older IE sometimes signals "interactive" too soon
-if ( document.readyState === "complete" ||
- ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) {
-
- // Handle it asynchronously to allow scripts the opportunity to delay ready
- window.setTimeout( jQuery.ready );
-
-} else {
-
- // Use the handy event callback
- document.addEventListener( "DOMContentLoaded", completed );
-
- // A fallback to window.onload, that will always work
- window.addEventListener( "load", completed );
-}
-
-
-
-
-// Multifunctional method to get and set values of a collection
-// The value/s can optionally be executed if it's a function
-var access = function( elems, fn, key, value, chainable, emptyGet, raw ) {
- var i = 0,
- len = elems.length,
- bulk = key == null;
-
- // Sets many values
- if ( toType( key ) === "object" ) {
- chainable = true;
- for ( i in key ) {
- access( elems, fn, i, key[ i ], true, emptyGet, raw );
- }
-
- // Sets one value
- } else if ( value !== undefined ) {
- chainable = true;
-
- if ( !isFunction( value ) ) {
- raw = true;
- }
-
- if ( bulk ) {
-
- // Bulk operations run against the entire set
- if ( raw ) {
- fn.call( elems, value );
- fn = null;
-
- // ...except when executing function values
- } else {
- bulk = fn;
- fn = function( elem, _key, value ) {
- return bulk.call( jQuery( elem ), value );
- };
- }
- }
-
- if ( fn ) {
- for ( ; i < len; i++ ) {
- fn(
- elems[ i ], key, raw ?
- value :
- value.call( elems[ i ], i, fn( elems[ i ], key ) )
- );
- }
- }
- }
-
- if ( chainable ) {
- return elems;
- }
-
- // Gets
- if ( bulk ) {
- return fn.call( elems );
- }
-
- return len ? fn( elems[ 0 ], key ) : emptyGet;
-};
-
-
-// Matches dashed string for camelizing
-var rmsPrefix = /^-ms-/,
- rdashAlpha = /-([a-z])/g;
-
-// Used by camelCase as callback to replace()
-function fcamelCase( _all, letter ) {
- return letter.toUpperCase();
-}
-
-// Convert dashed to camelCase; used by the css and data modules
-// Support: IE <=9 - 11, Edge 12 - 15
-// Microsoft forgot to hump their vendor prefix (#9572)
-function camelCase( string ) {
- return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase );
-}
-var acceptData = function( owner ) {
-
- // Accepts only:
- // - Node
- // - Node.ELEMENT_NODE
- // - Node.DOCUMENT_NODE
- // - Object
- // - Any
- return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType );
-};
-
-
-
-
-function Data() {
- this.expando = jQuery.expando + Data.uid++;
-}
-
-Data.uid = 1;
-
-Data.prototype = {
-
- cache: function( owner ) {
-
- // Check if the owner object already has a cache
- var value = owner[ this.expando ];
-
- // If not, create one
- if ( !value ) {
- value = {};
-
- // We can accept data for non-element nodes in modern browsers,
- // but we should not, see #8335.
- // Always return an empty object.
- if ( acceptData( owner ) ) {
-
- // If it is a node unlikely to be stringify-ed or looped over
- // use plain assignment
- if ( owner.nodeType ) {
- owner[ this.expando ] = value;
-
- // Otherwise secure it in a non-enumerable property
- // configurable must be true to allow the property to be
- // deleted when data is removed
- } else {
- Object.defineProperty( owner, this.expando, {
- value: value,
- configurable: true
- } );
- }
- }
- }
-
- return value;
- },
- set: function( owner, data, value ) {
- var prop,
- cache = this.cache( owner );
-
- // Handle: [ owner, key, value ] args
- // Always use camelCase key (gh-2257)
- if ( typeof data === "string" ) {
- cache[ camelCase( data ) ] = value;
-
- // Handle: [ owner, { properties } ] args
- } else {
-
- // Copy the properties one-by-one to the cache object
- for ( prop in data ) {
- cache[ camelCase( prop ) ] = data[ prop ];
- }
- }
- return cache;
- },
- get: function( owner, key ) {
- return key === undefined ?
- this.cache( owner ) :
-
- // Always use camelCase key (gh-2257)
- owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ];
- },
- access: function( owner, key, value ) {
-
- // In cases where either:
- //
- // 1. No key was specified
- // 2. A string key was specified, but no value provided
- //
- // Take the "read" path and allow the get method to determine
- // which value to return, respectively either:
- //
- // 1. The entire cache object
- // 2. The data stored at the key
- //
- if ( key === undefined ||
- ( ( key && typeof key === "string" ) && value === undefined ) ) {
-
- return this.get( owner, key );
- }
-
- // When the key is not a string, or both a key and value
- // are specified, set or extend (existing objects) with either:
- //
- // 1. An object of properties
- // 2. A key and value
- //
- this.set( owner, key, value );
-
- // Since the "set" path can have two possible entry points
- // return the expected data based on which path was taken[*]
- return value !== undefined ? value : key;
- },
- remove: function( owner, key ) {
- var i,
- cache = owner[ this.expando ];
-
- if ( cache === undefined ) {
- return;
- }
-
- if ( key !== undefined ) {
-
- // Support array or space separated string of keys
- if ( Array.isArray( key ) ) {
-
- // If key is an array of keys...
- // We always set camelCase keys, so remove that.
- key = key.map( camelCase );
- } else {
- key = camelCase( key );
-
- // If a key with the spaces exists, use it.
- // Otherwise, create an array by matching non-whitespace
- key = key in cache ?
- [ key ] :
- ( key.match( rnothtmlwhite ) || [] );
- }
-
- i = key.length;
-
- while ( i-- ) {
- delete cache[ key[ i ] ];
- }
- }
-
- // Remove the expando if there's no more data
- if ( key === undefined || jQuery.isEmptyObject( cache ) ) {
-
- // Support: Chrome <=35 - 45
- // Webkit & Blink performance suffers when deleting properties
- // from DOM nodes, so set to undefined instead
- // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted)
- if ( owner.nodeType ) {
- owner[ this.expando ] = undefined;
- } else {
- delete owner[ this.expando ];
- }
- }
- },
- hasData: function( owner ) {
- var cache = owner[ this.expando ];
- return cache !== undefined && !jQuery.isEmptyObject( cache );
- }
-};
-var dataPriv = new Data();
-
-var dataUser = new Data();
-
-
-
-// Implementation Summary
-//
-// 1. Enforce API surface and semantic compatibility with 1.9.x branch
-// 2. Improve the module's maintainability by reducing the storage
-// paths to a single mechanism.
-// 3. Use the same single mechanism to support "private" and "user" data.
-// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData)
-// 5. Avoid exposing implementation details on user objects (eg. expando properties)
-// 6. Provide a clear path for implementation upgrade to WeakMap in 2014
-
-var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/,
- rmultiDash = /[A-Z]/g;
-
-function getData( data ) {
- if ( data === "true" ) {
- return true;
- }
-
- if ( data === "false" ) {
- return false;
- }
-
- if ( data === "null" ) {
- return null;
- }
-
- // Only convert to a number if it doesn't change the string
- if ( data === +data + "" ) {
- return +data;
- }
-
- if ( rbrace.test( data ) ) {
- return JSON.parse( data );
- }
-
- return data;
-}
-
-function dataAttr( elem, key, data ) {
- var name;
-
- // If nothing was found internally, try to fetch any
- // data from the HTML5 data-* attribute
- if ( data === undefined && elem.nodeType === 1 ) {
- name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase();
- data = elem.getAttribute( name );
-
- if ( typeof data === "string" ) {
- try {
- data = getData( data );
- } catch ( e ) {}
-
- // Make sure we set the data so it isn't changed later
- dataUser.set( elem, key, data );
- } else {
- data = undefined;
- }
- }
- return data;
-}
-
-jQuery.extend( {
- hasData: function( elem ) {
- return dataUser.hasData( elem ) || dataPriv.hasData( elem );
- },
-
- data: function( elem, name, data ) {
- return dataUser.access( elem, name, data );
- },
-
- removeData: function( elem, name ) {
- dataUser.remove( elem, name );
- },
-
- // TODO: Now that all calls to _data and _removeData have been replaced
- // with direct calls to dataPriv methods, these can be deprecated.
- _data: function( elem, name, data ) {
- return dataPriv.access( elem, name, data );
- },
-
- _removeData: function( elem, name ) {
- dataPriv.remove( elem, name );
- }
-} );
-
-jQuery.fn.extend( {
- data: function( key, value ) {
- var i, name, data,
- elem = this[ 0 ],
- attrs = elem && elem.attributes;
-
- // Gets all values
- if ( key === undefined ) {
- if ( this.length ) {
- data = dataUser.get( elem );
-
- if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) {
- i = attrs.length;
- while ( i-- ) {
-
- // Support: IE 11 only
- // The attrs elements can be null (#14894)
- if ( attrs[ i ] ) {
- name = attrs[ i ].name;
- if ( name.indexOf( "data-" ) === 0 ) {
- name = camelCase( name.slice( 5 ) );
- dataAttr( elem, name, data[ name ] );
- }
- }
- }
- dataPriv.set( elem, "hasDataAttrs", true );
- }
- }
-
- return data;
- }
-
- // Sets multiple values
- if ( typeof key === "object" ) {
- return this.each( function() {
- dataUser.set( this, key );
- } );
- }
-
- return access( this, function( value ) {
- var data;
-
- // The calling jQuery object (element matches) is not empty
- // (and therefore has an element appears at this[ 0 ]) and the
- // `value` parameter was not undefined. An empty jQuery object
- // will result in `undefined` for elem = this[ 0 ] which will
- // throw an exception if an attempt to read a data cache is made.
- if ( elem && value === undefined ) {
-
- // Attempt to get data from the cache
- // The key will always be camelCased in Data
- data = dataUser.get( elem, key );
- if ( data !== undefined ) {
- return data;
- }
-
- // Attempt to "discover" the data in
- // HTML5 custom data-* attrs
- data = dataAttr( elem, key );
- if ( data !== undefined ) {
- return data;
- }
-
- // We tried really hard, but the data doesn't exist.
- return;
- }
-
- // Set the data...
- this.each( function() {
-
- // We always store the camelCased key
- dataUser.set( this, key, value );
- } );
- }, null, value, arguments.length > 1, null, true );
- },
-
- removeData: function( key ) {
- return this.each( function() {
- dataUser.remove( this, key );
- } );
- }
-} );
-
-
-jQuery.extend( {
- queue: function( elem, type, data ) {
- var queue;
-
- if ( elem ) {
- type = ( type || "fx" ) + "queue";
- queue = dataPriv.get( elem, type );
-
- // Speed up dequeue by getting out quickly if this is just a lookup
- if ( data ) {
- if ( !queue || Array.isArray( data ) ) {
- queue = dataPriv.access( elem, type, jQuery.makeArray( data ) );
- } else {
- queue.push( data );
- }
- }
- return queue || [];
- }
- },
-
- dequeue: function( elem, type ) {
- type = type || "fx";
-
- var queue = jQuery.queue( elem, type ),
- startLength = queue.length,
- fn = queue.shift(),
- hooks = jQuery._queueHooks( elem, type ),
- next = function() {
- jQuery.dequeue( elem, type );
- };
-
- // If the fx queue is dequeued, always remove the progress sentinel
- if ( fn === "inprogress" ) {
- fn = queue.shift();
- startLength--;
- }
-
- if ( fn ) {
-
- // Add a progress sentinel to prevent the fx queue from being
- // automatically dequeued
- if ( type === "fx" ) {
- queue.unshift( "inprogress" );
- }
-
- // Clear up the last queue stop function
- delete hooks.stop;
- fn.call( elem, next, hooks );
- }
-
- if ( !startLength && hooks ) {
- hooks.empty.fire();
- }
- },
-
- // Not public - generate a queueHooks object, or return the current one
- _queueHooks: function( elem, type ) {
- var key = type + "queueHooks";
- return dataPriv.get( elem, key ) || dataPriv.access( elem, key, {
- empty: jQuery.Callbacks( "once memory" ).add( function() {
- dataPriv.remove( elem, [ type + "queue", key ] );
- } )
- } );
- }
-} );
-
-jQuery.fn.extend( {
- queue: function( type, data ) {
- var setter = 2;
-
- if ( typeof type !== "string" ) {
- data = type;
- type = "fx";
- setter--;
- }
-
- if ( arguments.length < setter ) {
- return jQuery.queue( this[ 0 ], type );
- }
-
- return data === undefined ?
- this :
- this.each( function() {
- var queue = jQuery.queue( this, type, data );
-
- // Ensure a hooks for this queue
- jQuery._queueHooks( this, type );
-
- if ( type === "fx" && queue[ 0 ] !== "inprogress" ) {
- jQuery.dequeue( this, type );
- }
- } );
- },
- dequeue: function( type ) {
- return this.each( function() {
- jQuery.dequeue( this, type );
- } );
- },
- clearQueue: function( type ) {
- return this.queue( type || "fx", [] );
- },
-
- // Get a promise resolved when queues of a certain type
- // are emptied (fx is the type by default)
- promise: function( type, obj ) {
- var tmp,
- count = 1,
- defer = jQuery.Deferred(),
- elements = this,
- i = this.length,
- resolve = function() {
- if ( !( --count ) ) {
- defer.resolveWith( elements, [ elements ] );
- }
- };
-
- if ( typeof type !== "string" ) {
- obj = type;
- type = undefined;
- }
- type = type || "fx";
-
- while ( i-- ) {
- tmp = dataPriv.get( elements[ i ], type + "queueHooks" );
- if ( tmp && tmp.empty ) {
- count++;
- tmp.empty.add( resolve );
- }
- }
- resolve();
- return defer.promise( obj );
- }
-} );
-var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source;
-
-var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" );
-
-
-var cssExpand = [ "Top", "Right", "Bottom", "Left" ];
-
-var documentElement = document.documentElement;
-
-
-
- var isAttached = function( elem ) {
- return jQuery.contains( elem.ownerDocument, elem );
- },
- composed = { composed: true };
-
- // Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only
- // Check attachment across shadow DOM boundaries when possible (gh-3504)
- // Support: iOS 10.0-10.2 only
- // Early iOS 10 versions support `attachShadow` but not `getRootNode`,
- // leading to errors. We need to check for `getRootNode`.
- if ( documentElement.getRootNode ) {
- isAttached = function( elem ) {
- return jQuery.contains( elem.ownerDocument, elem ) ||
- elem.getRootNode( composed ) === elem.ownerDocument;
- };
- }
-var isHiddenWithinTree = function( elem, el ) {
-
- // isHiddenWithinTree might be called from jQuery#filter function;
- // in that case, element will be second argument
- elem = el || elem;
-
- // Inline style trumps all
- return elem.style.display === "none" ||
- elem.style.display === "" &&
-
- // Otherwise, check computed style
- // Support: Firefox <=43 - 45
- // Disconnected elements can have computed display: none, so first confirm that elem is
- // in the document.
- isAttached( elem ) &&
-
- jQuery.css( elem, "display" ) === "none";
- };
-
-
-
-function adjustCSS( elem, prop, valueParts, tween ) {
- var adjusted, scale,
- maxIterations = 20,
- currentValue = tween ?
- function() {
- return tween.cur();
- } :
- function() {
- return jQuery.css( elem, prop, "" );
- },
- initial = currentValue(),
- unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ),
-
- // Starting value computation is required for potential unit mismatches
- initialInUnit = elem.nodeType &&
- ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) &&
- rcssNum.exec( jQuery.css( elem, prop ) );
-
- if ( initialInUnit && initialInUnit[ 3 ] !== unit ) {
-
- // Support: Firefox <=54
- // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144)
- initial = initial / 2;
-
- // Trust units reported by jQuery.css
- unit = unit || initialInUnit[ 3 ];
-
- // Iteratively approximate from a nonzero starting point
- initialInUnit = +initial || 1;
-
- while ( maxIterations-- ) {
-
- // Evaluate and update our best guess (doubling guesses that zero out).
- // Finish if the scale equals or crosses 1 (making the old*new product non-positive).
- jQuery.style( elem, prop, initialInUnit + unit );
- if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) {
- maxIterations = 0;
- }
- initialInUnit = initialInUnit / scale;
-
- }
-
- initialInUnit = initialInUnit * 2;
- jQuery.style( elem, prop, initialInUnit + unit );
-
- // Make sure we update the tween properties later on
- valueParts = valueParts || [];
- }
-
- if ( valueParts ) {
- initialInUnit = +initialInUnit || +initial || 0;
-
- // Apply relative offset (+=/-=) if specified
- adjusted = valueParts[ 1 ] ?
- initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] :
- +valueParts[ 2 ];
- if ( tween ) {
- tween.unit = unit;
- tween.start = initialInUnit;
- tween.end = adjusted;
- }
- }
- return adjusted;
-}
-
-
-var defaultDisplayMap = {};
-
-function getDefaultDisplay( elem ) {
- var temp,
- doc = elem.ownerDocument,
- nodeName = elem.nodeName,
- display = defaultDisplayMap[ nodeName ];
-
- if ( display ) {
- return display;
- }
-
- temp = doc.body.appendChild( doc.createElement( nodeName ) );
- display = jQuery.css( temp, "display" );
-
- temp.parentNode.removeChild( temp );
-
- if ( display === "none" ) {
- display = "block";
- }
- defaultDisplayMap[ nodeName ] = display;
-
- return display;
-}
-
-function showHide( elements, show ) {
- var display, elem,
- values = [],
- index = 0,
- length = elements.length;
-
- // Determine new display value for elements that need to change
- for ( ; index < length; index++ ) {
- elem = elements[ index ];
- if ( !elem.style ) {
- continue;
- }
-
- display = elem.style.display;
- if ( show ) {
-
- // Since we force visibility upon cascade-hidden elements, an immediate (and slow)
- // check is required in this first loop unless we have a nonempty display value (either
- // inline or about-to-be-restored)
- if ( display === "none" ) {
- values[ index ] = dataPriv.get( elem, "display" ) || null;
- if ( !values[ index ] ) {
- elem.style.display = "";
- }
- }
- if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) {
- values[ index ] = getDefaultDisplay( elem );
- }
- } else {
- if ( display !== "none" ) {
- values[ index ] = "none";
-
- // Remember what we're overwriting
- dataPriv.set( elem, "display", display );
- }
- }
- }
-
- // Set the display of the elements in a second loop to avoid constant reflow
- for ( index = 0; index < length; index++ ) {
- if ( values[ index ] != null ) {
- elements[ index ].style.display = values[ index ];
- }
- }
-
- return elements;
-}
-
-jQuery.fn.extend( {
- show: function() {
- return showHide( this, true );
- },
- hide: function() {
- return showHide( this );
- },
- toggle: function( state ) {
- if ( typeof state === "boolean" ) {
- return state ? this.show() : this.hide();
- }
-
- return this.each( function() {
- if ( isHiddenWithinTree( this ) ) {
- jQuery( this ).show();
- } else {
- jQuery( this ).hide();
- }
- } );
- }
-} );
-var rcheckableType = ( /^(?:checkbox|radio)$/i );
-
-var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i );
-
-var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i );
-
-
-
-( function() {
- var fragment = document.createDocumentFragment(),
- div = fragment.appendChild( document.createElement( "div" ) ),
- input = document.createElement( "input" );
-
- // Support: Android 4.0 - 4.3 only
- // Check state lost if the name is set (#11217)
- // Support: Windows Web Apps (WWA)
- // `name` and `type` must use .setAttribute for WWA (#14901)
- input.setAttribute( "type", "radio" );
- input.setAttribute( "checked", "checked" );
- input.setAttribute( "name", "t" );
-
- div.appendChild( input );
-
- // Support: Android <=4.1 only
- // Older WebKit doesn't clone checked state correctly in fragments
- support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked;
-
- // Support: IE <=11 only
- // Make sure textarea (and checkbox) defaultValue is properly cloned
- div.innerHTML = "<textarea>x</textarea>";
- support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue;
-
- // Support: IE <=9 only
- // IE <=9 replaces <option> tags with their contents when inserted outside of
- // the select element.
- div.innerHTML = "<option></option>";
- support.option = !!div.lastChild;
-} )();
-
-
-// We have to close these tags to support XHTML (#13200)
-var wrapMap = {
-
- // XHTML parsers do not magically insert elements in the
- // same way that tag soup parsers do. So we cannot shorten
- // this by omitting <tbody> or other required elements.
- thead: [ 1, "<table>", "</table>" ],
- col: [ 2, "<table><colgroup>", "</colgroup></table>" ],
- tr: [ 2, "<table><tbody>", "</tbody></table>" ],
- td: [ 3, "<table><tbody><tr>", "</tr></tbody></table>" ],
-
- _default: [ 0, "", "" ]
-};
-
-wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead;
-wrapMap.th = wrapMap.td;
-
-// Support: IE <=9 only
-if ( !support.option ) {
- wrapMap.optgroup = wrapMap.option = [ 1, "<select multiple='multiple'>", "</select>" ];
-}
-
-
-function getAll( context, tag ) {
-
- // Support: IE <=9 - 11 only
- // Use typeof to avoid zero-argument method invocation on host objects (#15151)
- var ret;
-
- if ( typeof context.getElementsByTagName !== "undefined" ) {
- ret = context.getElementsByTagName( tag || "*" );
-
- } else if ( typeof context.querySelectorAll !== "undefined" ) {
- ret = context.querySelectorAll( tag || "*" );
-
- } else {
- ret = [];
- }
-
- if ( tag === undefined || tag && nodeName( context, tag ) ) {
- return jQuery.merge( [ context ], ret );
- }
-
- return ret;
-}
-
-
-// Mark scripts as having already been evaluated
-function setGlobalEval( elems, refElements ) {
- var i = 0,
- l = elems.length;
-
- for ( ; i < l; i++ ) {
- dataPriv.set(
- elems[ i ],
- "globalEval",
- !refElements || dataPriv.get( refElements[ i ], "globalEval" )
- );
- }
-}
-
-
-var rhtml = /<|&#?\w+;/;
-
-function buildFragment( elems, context, scripts, selection, ignored ) {
- var elem, tmp, tag, wrap, attached, j,
- fragment = context.createDocumentFragment(),
- nodes = [],
- i = 0,
- l = elems.length;
-
- for ( ; i < l; i++ ) {
- elem = elems[ i ];
-
- if ( elem || elem === 0 ) {
-
- // Add nodes directly
- if ( toType( elem ) === "object" ) {
-
- // Support: Android <=4.0 only, PhantomJS 1 only
- // push.apply(_, arraylike) throws on ancient WebKit
- jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem );
-
- // Convert non-html into a text node
- } else if ( !rhtml.test( elem ) ) {
- nodes.push( context.createTextNode( elem ) );
-
- // Convert html into DOM nodes
- } else {
- tmp = tmp || fragment.appendChild( context.createElement( "div" ) );
-
- // Deserialize a standard representation
- tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase();
- wrap = wrapMap[ tag ] || wrapMap._default;
- tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ];
-
- // Descend through wrappers to the right content
- j = wrap[ 0 ];
- while ( j-- ) {
- tmp = tmp.lastChild;
- }
-
- // Support: Android <=4.0 only, PhantomJS 1 only
- // push.apply(_, arraylike) throws on ancient WebKit
- jQuery.merge( nodes, tmp.childNodes );
-
- // Remember the top-level container
- tmp = fragment.firstChild;
-
- // Ensure the created nodes are orphaned (#12392)
- tmp.textContent = "";
- }
- }
- }
-
- // Remove wrapper from fragment
- fragment.textContent = "";
-
- i = 0;
- while ( ( elem = nodes[ i++ ] ) ) {
-
- // Skip elements already in the context collection (trac-4087)
- if ( selection && jQuery.inArray( elem, selection ) > -1 ) {
- if ( ignored ) {
- ignored.push( elem );
- }
- continue;
- }
-
- attached = isAttached( elem );
-
- // Append to fragment
- tmp = getAll( fragment.appendChild( elem ), "script" );
-
- // Preserve script evaluation history
- if ( attached ) {
- setGlobalEval( tmp );
- }
-
- // Capture executables
- if ( scripts ) {
- j = 0;
- while ( ( elem = tmp[ j++ ] ) ) {
- if ( rscriptType.test( elem.type || "" ) ) {
- scripts.push( elem );
- }
- }
- }
- }
-
- return fragment;
-}
-
-
-var rtypenamespace = /^([^.]*)(?:\.(.+)|)/;
-
-function returnTrue() {
- return true;
-}
-
-function returnFalse() {
- return false;
-}
-
-// Support: IE <=9 - 11+
-// focus() and blur() are asynchronous, except when they are no-op.
-// So expect focus to be synchronous when the element is already active,
-// and blur to be synchronous when the element is not already active.
-// (focus and blur are always synchronous in other supported browsers,
-// this just defines when we can count on it).
-function expectSync( elem, type ) {
- return ( elem === safeActiveElement() ) === ( type === "focus" );
-}
-
-// Support: IE <=9 only
-// Accessing document.activeElement can throw unexpectedly
-// https://bugs.jquery.com/ticket/13393
-function safeActiveElement() {
- try {
- return document.activeElement;
- } catch ( err ) { }
-}
-
-function on( elem, types, selector, data, fn, one ) {
- var origFn, type;
-
- // Types can be a map of types/handlers
- if ( typeof types === "object" ) {
-
- // ( types-Object, selector, data )
- if ( typeof selector !== "string" ) {
-
- // ( types-Object, data )
- data = data || selector;
- selector = undefined;
- }
- for ( type in types ) {
- on( elem, type, selector, data, types[ type ], one );
- }
- return elem;
- }
-
- if ( data == null && fn == null ) {
-
- // ( types, fn )
- fn = selector;
- data = selector = undefined;
- } else if ( fn == null ) {
- if ( typeof selector === "string" ) {
-
- // ( types, selector, fn )
- fn = data;
- data = undefined;
- } else {
-
- // ( types, data, fn )
- fn = data;
- data = selector;
- selector = undefined;
- }
- }
- if ( fn === false ) {
- fn = returnFalse;
- } else if ( !fn ) {
- return elem;
- }
-
- if ( one === 1 ) {
- origFn = fn;
- fn = function( event ) {
-
- // Can use an empty set, since event contains the info
- jQuery().off( event );
- return origFn.apply( this, arguments );
- };
-
- // Use same guid so caller can remove using origFn
- fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ );
- }
- return elem.each( function() {
- jQuery.event.add( this, types, fn, data, selector );
- } );
-}
-
-/*
- * Helper functions for managing events -- not part of the public interface.
- * Props to Dean Edwards' addEvent library for many of the ideas.
- */
-jQuery.event = {
-
- global: {},
-
- add: function( elem, types, handler, data, selector ) {
-
- var handleObjIn, eventHandle, tmp,
- events, t, handleObj,
- special, handlers, type, namespaces, origType,
- elemData = dataPriv.get( elem );
-
- // Only attach events to objects that accept data
- if ( !acceptData( elem ) ) {
- return;
- }
-
- // Caller can pass in an object of custom data in lieu of the handler
- if ( handler.handler ) {
- handleObjIn = handler;
- handler = handleObjIn.handler;
- selector = handleObjIn.selector;
- }
-
- // Ensure that invalid selectors throw exceptions at attach time
- // Evaluate against documentElement in case elem is a non-element node (e.g., document)
- if ( selector ) {
- jQuery.find.matchesSelector( documentElement, selector );
- }
-
- // Make sure that the handler has a unique ID, used to find/remove it later
- if ( !handler.guid ) {
- handler.guid = jQuery.guid++;
- }
-
- // Init the element's event structure and main handler, if this is the first
- if ( !( events = elemData.events ) ) {
- events = elemData.events = Object.create( null );
- }
- if ( !( eventHandle = elemData.handle ) ) {
- eventHandle = elemData.handle = function( e ) {
-
- // Discard the second event of a jQuery.event.trigger() and
- // when an event is called after a page has unloaded
- return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ?
- jQuery.event.dispatch.apply( elem, arguments ) : undefined;
- };
- }
-
- // Handle multiple events separated by a space
- types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
- t = types.length;
- while ( t-- ) {
- tmp = rtypenamespace.exec( types[ t ] ) || [];
- type = origType = tmp[ 1 ];
- namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
-
- // There *must* be a type, no attaching namespace-only handlers
- if ( !type ) {
- continue;
- }
-
- // If event changes its type, use the special event handlers for the changed type
- special = jQuery.event.special[ type ] || {};
-
- // If selector defined, determine special event api type, otherwise given type
- type = ( selector ? special.delegateType : special.bindType ) || type;
-
- // Update special based on newly reset type
- special = jQuery.event.special[ type ] || {};
-
- // handleObj is passed to all event handlers
- handleObj = jQuery.extend( {
- type: type,
- origType: origType,
- data: data,
- handler: handler,
- guid: handler.guid,
- selector: selector,
- needsContext: selector && jQuery.expr.match.needsContext.test( selector ),
- namespace: namespaces.join( "." )
- }, handleObjIn );
-
- // Init the event handler queue if we're the first
- if ( !( handlers = events[ type ] ) ) {
- handlers = events[ type ] = [];
- handlers.delegateCount = 0;
-
- // Only use addEventListener if the special events handler returns false
- if ( !special.setup ||
- special.setup.call( elem, data, namespaces, eventHandle ) === false ) {
-
- if ( elem.addEventListener ) {
- elem.addEventListener( type, eventHandle );
- }
- }
- }
-
- if ( special.add ) {
- special.add.call( elem, handleObj );
-
- if ( !handleObj.handler.guid ) {
- handleObj.handler.guid = handler.guid;
- }
- }
-
- // Add to the element's handler list, delegates in front
- if ( selector ) {
- handlers.splice( handlers.delegateCount++, 0, handleObj );
- } else {
- handlers.push( handleObj );
- }
-
- // Keep track of which events have ever been used, for event optimization
- jQuery.event.global[ type ] = true;
- }
-
- },
-
- // Detach an event or set of events from an element
- remove: function( elem, types, handler, selector, mappedTypes ) {
-
- var j, origCount, tmp,
- events, t, handleObj,
- special, handlers, type, namespaces, origType,
- elemData = dataPriv.hasData( elem ) && dataPriv.get( elem );
-
- if ( !elemData || !( events = elemData.events ) ) {
- return;
- }
-
- // Once for each type.namespace in types; type may be omitted
- types = ( types || "" ).match( rnothtmlwhite ) || [ "" ];
- t = types.length;
- while ( t-- ) {
- tmp = rtypenamespace.exec( types[ t ] ) || [];
- type = origType = tmp[ 1 ];
- namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort();
-
- // Unbind all events (on this namespace, if provided) for the element
- if ( !type ) {
- for ( type in events ) {
- jQuery.event.remove( elem, type + types[ t ], handler, selector, true );
- }
- continue;
- }
-
- special = jQuery.event.special[ type ] || {};
- type = ( selector ? special.delegateType : special.bindType ) || type;
- handlers = events[ type ] || [];
- tmp = tmp[ 2 ] &&
- new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" );
-
- // Remove matching events
- origCount = j = handlers.length;
- while ( j-- ) {
- handleObj = handlers[ j ];
-
- if ( ( mappedTypes || origType === handleObj.origType ) &&
- ( !handler || handler.guid === handleObj.guid ) &&
- ( !tmp || tmp.test( handleObj.namespace ) ) &&
- ( !selector || selector === handleObj.selector ||
- selector === "**" && handleObj.selector ) ) {
- handlers.splice( j, 1 );
-
- if ( handleObj.selector ) {
- handlers.delegateCount--;
- }
- if ( special.remove ) {
- special.remove.call( elem, handleObj );
- }
- }
- }
-
- // Remove generic event handler if we removed something and no more handlers exist
- // (avoids potential for endless recursion during removal of special event handlers)
- if ( origCount && !handlers.length ) {
- if ( !special.teardown ||
- special.teardown.call( elem, namespaces, elemData.handle ) === false ) {
-
- jQuery.removeEvent( elem, type, elemData.handle );
- }
-
- delete events[ type ];
- }
- }
-
- // Remove data and the expando if it's no longer used
- if ( jQuery.isEmptyObject( events ) ) {
- dataPriv.remove( elem, "handle events" );
- }
- },
-
- dispatch: function( nativeEvent ) {
-
- var i, j, ret, matched, handleObj, handlerQueue,
- args = new Array( arguments.length ),
-
- // Make a writable jQuery.Event from the native event object
- event = jQuery.event.fix( nativeEvent ),
-
- handlers = (
- dataPriv.get( this, "events" ) || Object.create( null )
- )[ event.type ] || [],
- special = jQuery.event.special[ event.type ] || {};
-
- // Use the fix-ed jQuery.Event rather than the (read-only) native event
- args[ 0 ] = event;
-
- for ( i = 1; i < arguments.length; i++ ) {
- args[ i ] = arguments[ i ];
- }
-
- event.delegateTarget = this;
-
- // Call the preDispatch hook for the mapped type, and let it bail if desired
- if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) {
- return;
- }
-
- // Determine handlers
- handlerQueue = jQuery.event.handlers.call( this, event, handlers );
-
- // Run delegates first; they may want to stop propagation beneath us
- i = 0;
- while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) {
- event.currentTarget = matched.elem;
-
- j = 0;
- while ( ( handleObj = matched.handlers[ j++ ] ) &&
- !event.isImmediatePropagationStopped() ) {
-
- // If the event is namespaced, then each handler is only invoked if it is
- // specially universal or its namespaces are a superset of the event's.
- if ( !event.rnamespace || handleObj.namespace === false ||
- event.rnamespace.test( handleObj.namespace ) ) {
-
- event.handleObj = handleObj;
- event.data = handleObj.data;
-
- ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle ||
- handleObj.handler ).apply( matched.elem, args );
-
- if ( ret !== undefined ) {
- if ( ( event.result = ret ) === false ) {
- event.preventDefault();
- event.stopPropagation();
- }
- }
- }
- }
- }
-
- // Call the postDispatch hook for the mapped type
- if ( special.postDispatch ) {
- special.postDispatch.call( this, event );
- }
-
- return event.result;
- },
-
- handlers: function( event, handlers ) {
- var i, handleObj, sel, matchedHandlers, matchedSelectors,
- handlerQueue = [],
- delegateCount = handlers.delegateCount,
- cur = event.target;
-
- // Find delegate handlers
- if ( delegateCount &&
-
- // Support: IE <=9
- // Black-hole SVG <use> instance trees (trac-13180)
- cur.nodeType &&
-
- // Support: Firefox <=42
- // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861)
- // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click
- // Support: IE 11 only
- // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343)
- !( event.type === "click" && event.button >= 1 ) ) {
-
- for ( ; cur !== this; cur = cur.parentNode || this ) {
-
- // Don't check non-elements (#13208)
- // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764)
- if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) {
- matchedHandlers = [];
- matchedSelectors = {};
- for ( i = 0; i < delegateCount; i++ ) {
- handleObj = handlers[ i ];
-
- // Don't conflict with Object.prototype properties (#13203)
- sel = handleObj.selector + " ";
-
- if ( matchedSelectors[ sel ] === undefined ) {
- matchedSelectors[ sel ] = handleObj.needsContext ?
- jQuery( sel, this ).index( cur ) > -1 :
- jQuery.find( sel, this, null, [ cur ] ).length;
- }
- if ( matchedSelectors[ sel ] ) {
- matchedHandlers.push( handleObj );
- }
- }
- if ( matchedHandlers.length ) {
- handlerQueue.push( { elem: cur, handlers: matchedHandlers } );
- }
- }
- }
- }
-
- // Add the remaining (directly-bound) handlers
- cur = this;
- if ( delegateCount < handlers.length ) {
- handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } );
- }
-
- return handlerQueue;
- },
-
- addProp: function( name, hook ) {
- Object.defineProperty( jQuery.Event.prototype, name, {
- enumerable: true,
- configurable: true,
-
- get: isFunction( hook ) ?
- function() {
- if ( this.originalEvent ) {
- return hook( this.originalEvent );
- }
- } :
- function() {
- if ( this.originalEvent ) {
- return this.originalEvent[ name ];
- }
- },
-
- set: function( value ) {
- Object.defineProperty( this, name, {
- enumerable: true,
- configurable: true,
- writable: true,
- value: value
- } );
- }
- } );
- },
-
- fix: function( originalEvent ) {
- return originalEvent[ jQuery.expando ] ?
- originalEvent :
- new jQuery.Event( originalEvent );
- },
-
- special: {
- load: {
-
- // Prevent triggered image.load events from bubbling to window.load
- noBubble: true
- },
- click: {
-
- // Utilize native event to ensure correct state for checkable inputs
- setup: function( data ) {
-
- // For mutual compressibility with _default, replace `this` access with a local var.
- // `|| data` is dead code meant only to preserve the variable through minification.
- var el = this || data;
-
- // Claim the first handler
- if ( rcheckableType.test( el.type ) &&
- el.click && nodeName( el, "input" ) ) {
-
- // dataPriv.set( el, "click", ... )
- leverageNative( el, "click", returnTrue );
- }
-
- // Return false to allow normal processing in the caller
- return false;
- },
- trigger: function( data ) {
-
- // For mutual compressibility with _default, replace `this` access with a local var.
- // `|| data` is dead code meant only to preserve the variable through minification.
- var el = this || data;
-
- // Force setup before triggering a click
- if ( rcheckableType.test( el.type ) &&
- el.click && nodeName( el, "input" ) ) {
-
- leverageNative( el, "click" );
- }
-
- // Return non-false to allow normal event-path propagation
- return true;
- },
-
- // For cross-browser consistency, suppress native .click() on links
- // Also prevent it if we're currently inside a leveraged native-event stack
- _default: function( event ) {
- var target = event.target;
- return rcheckableType.test( target.type ) &&
- target.click && nodeName( target, "input" ) &&
- dataPriv.get( target, "click" ) ||
- nodeName( target, "a" );
- }
- },
-
- beforeunload: {
- postDispatch: function( event ) {
-
- // Support: Firefox 20+
- // Firefox doesn't alert if the returnValue field is not set.
- if ( event.result !== undefined && event.originalEvent ) {
- event.originalEvent.returnValue = event.result;
- }
- }
- }
- }
-};
-
-// Ensure the presence of an event listener that handles manually-triggered
-// synthetic events by interrupting progress until reinvoked in response to
-// *native* events that it fires directly, ensuring that state changes have
-// already occurred before other listeners are invoked.
-function leverageNative( el, type, expectSync ) {
-
- // Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add
- if ( !expectSync ) {
- if ( dataPriv.get( el, type ) === undefined ) {
- jQuery.event.add( el, type, returnTrue );
- }
- return;
- }
-
- // Register the controller as a special universal handler for all event namespaces
- dataPriv.set( el, type, false );
- jQuery.event.add( el, type, {
- namespace: false,
- handler: function( event ) {
- var notAsync, result,
- saved = dataPriv.get( this, type );
-
- if ( ( event.isTrigger & 1 ) && this[ type ] ) {
-
- // Interrupt processing of the outer synthetic .trigger()ed event
- // Saved data should be false in such cases, but might be a leftover capture object
- // from an async native handler (gh-4350)
- if ( !saved.length ) {
-
- // Store arguments for use when handling the inner native event
- // There will always be at least one argument (an event object), so this array
- // will not be confused with a leftover capture object.
- saved = slice.call( arguments );
- dataPriv.set( this, type, saved );
-
- // Trigger the native event and capture its result
- // Support: IE <=9 - 11+
- // focus() and blur() are asynchronous
- notAsync = expectSync( this, type );
- this[ type ]();
- result = dataPriv.get( this, type );
- if ( saved !== result || notAsync ) {
- dataPriv.set( this, type, false );
- } else {
- result = {};
- }
- if ( saved !== result ) {
-
- // Cancel the outer synthetic event
- event.stopImmediatePropagation();
- event.preventDefault();
-
- // Support: Chrome 86+
- // In Chrome, if an element having a focusout handler is blurred by
- // clicking outside of it, it invokes the handler synchronously. If
- // that handler calls `.remove()` on the element, the data is cleared,
- // leaving `result` undefined. We need to guard against this.
- return result && result.value;
- }
-
- // If this is an inner synthetic event for an event with a bubbling surrogate
- // (focus or blur), assume that the surrogate already propagated from triggering the
- // native event and prevent that from happening again here.
- // This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the
- // bubbling surrogate propagates *after* the non-bubbling base), but that seems
- // less bad than duplication.
- } else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) {
- event.stopPropagation();
- }
-
- // If this is a native event triggered above, everything is now in order
- // Fire an inner synthetic event with the original arguments
- } else if ( saved.length ) {
-
- // ...and capture the result
- dataPriv.set( this, type, {
- value: jQuery.event.trigger(
-
- // Support: IE <=9 - 11+
- // Extend with the prototype to reset the above stopImmediatePropagation()
- jQuery.extend( saved[ 0 ], jQuery.Event.prototype ),
- saved.slice( 1 ),
- this
- )
- } );
-
- // Abort handling of the native event
- event.stopImmediatePropagation();
- }
- }
- } );
-}
-
-jQuery.removeEvent = function( elem, type, handle ) {
-
- // This "if" is needed for plain objects
- if ( elem.removeEventListener ) {
- elem.removeEventListener( type, handle );
- }
-};
-
-jQuery.Event = function( src, props ) {
-
- // Allow instantiation without the 'new' keyword
- if ( !( this instanceof jQuery.Event ) ) {
- return new jQuery.Event( src, props );
- }
-
- // Event object
- if ( src && src.type ) {
- this.originalEvent = src;
- this.type = src.type;
-
- // Events bubbling up the document may have been marked as prevented
- // by a handler lower down the tree; reflect the correct value.
- this.isDefaultPrevented = src.defaultPrevented ||
- src.defaultPrevented === undefined &&
-
- // Support: Android <=2.3 only
- src.returnValue === false ?
- returnTrue :
- returnFalse;
-
- // Create target properties
- // Support: Safari <=6 - 7 only
- // Target should not be a text node (#504, #13143)
- this.target = ( src.target && src.target.nodeType === 3 ) ?
- src.target.parentNode :
- src.target;
-
- this.currentTarget = src.currentTarget;
- this.relatedTarget = src.relatedTarget;
-
- // Event type
- } else {
- this.type = src;
- }
-
- // Put explicitly provided properties onto the event object
- if ( props ) {
- jQuery.extend( this, props );
- }
-
- // Create a timestamp if incoming event doesn't have one
- this.timeStamp = src && src.timeStamp || Date.now();
-
- // Mark it as fixed
- this[ jQuery.expando ] = true;
-};
-
-// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding
-// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html
-jQuery.Event.prototype = {
- constructor: jQuery.Event,
- isDefaultPrevented: returnFalse,
- isPropagationStopped: returnFalse,
- isImmediatePropagationStopped: returnFalse,
- isSimulated: false,
-
- preventDefault: function() {
- var e = this.originalEvent;
-
- this.isDefaultPrevented = returnTrue;
-
- if ( e && !this.isSimulated ) {
- e.preventDefault();
- }
- },
- stopPropagation: function() {
- var e = this.originalEvent;
-
- this.isPropagationStopped = returnTrue;
-
- if ( e && !this.isSimulated ) {
- e.stopPropagation();
- }
- },
- stopImmediatePropagation: function() {
- var e = this.originalEvent;
-
- this.isImmediatePropagationStopped = returnTrue;
-
- if ( e && !this.isSimulated ) {
- e.stopImmediatePropagation();
- }
-
- this.stopPropagation();
- }
-};
-
-// Includes all common event props including KeyEvent and MouseEvent specific props
-jQuery.each( {
- altKey: true,
- bubbles: true,
- cancelable: true,
- changedTouches: true,
- ctrlKey: true,
- detail: true,
- eventPhase: true,
- metaKey: true,
- pageX: true,
- pageY: true,
- shiftKey: true,
- view: true,
- "char": true,
- code: true,
- charCode: true,
- key: true,
- keyCode: true,
- button: true,
- buttons: true,
- clientX: true,
- clientY: true,
- offsetX: true,
- offsetY: true,
- pointerId: true,
- pointerType: true,
- screenX: true,
- screenY: true,
- targetTouches: true,
- toElement: true,
- touches: true,
- which: true
-}, jQuery.event.addProp );
-
-jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) {
- jQuery.event.special[ type ] = {
-
- // Utilize native event if possible so blur/focus sequence is correct
- setup: function() {
-
- // Claim the first handler
- // dataPriv.set( this, "focus", ... )
- // dataPriv.set( this, "blur", ... )
- leverageNative( this, type, expectSync );
-
- // Return false to allow normal processing in the caller
- return false;
- },
- trigger: function() {
-
- // Force setup before trigger
- leverageNative( this, type );
-
- // Return non-false to allow normal event-path propagation
- return true;
- },
-
- // Suppress native focus or blur as it's already being fired
- // in leverageNative.
- _default: function() {
- return true;
- },
-
- delegateType: delegateType
- };
-} );
-
-// Create mouseenter/leave events using mouseover/out and event-time checks
-// so that event delegation works in jQuery.
-// Do the same for pointerenter/pointerleave and pointerover/pointerout
-//
-// Support: Safari 7 only
-// Safari sends mouseenter too often; see:
-// https://bugs.chromium.org/p/chromium/issues/detail?id=470258
-// for the description of the bug (it existed in older Chrome versions as well).
-jQuery.each( {
- mouseenter: "mouseover",
- mouseleave: "mouseout",
- pointerenter: "pointerover",
- pointerleave: "pointerout"
-}, function( orig, fix ) {
- jQuery.event.special[ orig ] = {
- delegateType: fix,
- bindType: fix,
-
- handle: function( event ) {
- var ret,
- target = this,
- related = event.relatedTarget,
- handleObj = event.handleObj;
-
- // For mouseenter/leave call the handler if related is outside the target.
- // NB: No relatedTarget if the mouse left/entered the browser window
- if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) {
- event.type = handleObj.origType;
- ret = handleObj.handler.apply( this, arguments );
- event.type = fix;
- }
- return ret;
- }
- };
-} );
-
-jQuery.fn.extend( {
-
- on: function( types, selector, data, fn ) {
- return on( this, types, selector, data, fn );
- },
- one: function( types, selector, data, fn ) {
- return on( this, types, selector, data, fn, 1 );
- },
- off: function( types, selector, fn ) {
- var handleObj, type;
- if ( types && types.preventDefault && types.handleObj ) {
-
- // ( event ) dispatched jQuery.Event
- handleObj = types.handleObj;
- jQuery( types.delegateTarget ).off(
- handleObj.namespace ?
- handleObj.origType + "." + handleObj.namespace :
- handleObj.origType,
- handleObj.selector,
- handleObj.handler
- );
- return this;
- }
- if ( typeof types === "object" ) {
-
- // ( types-object [, selector] )
- for ( type in types ) {
- this.off( type, selector, types[ type ] );
- }
- return this;
- }
- if ( selector === false || typeof selector === "function" ) {
-
- // ( types [, fn] )
- fn = selector;
- selector = undefined;
- }
- if ( fn === false ) {
- fn = returnFalse;
- }
- return this.each( function() {
- jQuery.event.remove( this, types, fn, selector );
- } );
- }
-} );
-
-
-var
-
- // Support: IE <=10 - 11, Edge 12 - 13 only
- // In IE/Edge using regex groups here causes severe slowdowns.
- // See https://connect.microsoft.com/IE/feedback/details/1736512/
- rnoInnerhtml = /<script|<style|<link/i,
-
- // checked="checked" or checked
- rchecked = /checked\s*(?:[^=]|=\s*.checked.)/i,
- rcleanScript = /^\s*<!(?:\[CDATA\[|--)|(?:\]\]|--)>\s*$/g;
-
-// Prefer a tbody over its parent table for containing new rows
-function manipulationTarget( elem, content ) {
- if ( nodeName( elem, "table" ) &&
- nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) {
-
- return jQuery( elem ).children( "tbody" )[ 0 ] || elem;
- }
-
- return elem;
-}
-
-// Replace/restore the type attribute of script elements for safe DOM manipulation
-function disableScript( elem ) {
- elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type;
- return elem;
-}
-function restoreScript( elem ) {
- if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) {
- elem.type = elem.type.slice( 5 );
- } else {
- elem.removeAttribute( "type" );
- }
-
- return elem;
-}
-
-function cloneCopyEvent( src, dest ) {
- var i, l, type, pdataOld, udataOld, udataCur, events;
-
- if ( dest.nodeType !== 1 ) {
- return;
- }
-
- // 1. Copy private data: events, handlers, etc.
- if ( dataPriv.hasData( src ) ) {
- pdataOld = dataPriv.get( src );
- events = pdataOld.events;
-
- if ( events ) {
- dataPriv.remove( dest, "handle events" );
-
- for ( type in events ) {
- for ( i = 0, l = events[ type ].length; i < l; i++ ) {
- jQuery.event.add( dest, type, events[ type ][ i ] );
- }
- }
- }
- }
-
- // 2. Copy user data
- if ( dataUser.hasData( src ) ) {
- udataOld = dataUser.access( src );
- udataCur = jQuery.extend( {}, udataOld );
-
- dataUser.set( dest, udataCur );
- }
-}
-
-// Fix IE bugs, see support tests
-function fixInput( src, dest ) {
- var nodeName = dest.nodeName.toLowerCase();
-
- // Fails to persist the checked state of a cloned checkbox or radio button.
- if ( nodeName === "input" && rcheckableType.test( src.type ) ) {
- dest.checked = src.checked;
-
- // Fails to return the selected option to the default selected state when cloning options
- } else if ( nodeName === "input" || nodeName === "textarea" ) {
- dest.defaultValue = src.defaultValue;
- }
-}
-
-function domManip( collection, args, callback, ignored ) {
-
- // Flatten any nested arrays
- args = flat( args );
-
- var fragment, first, scripts, hasScripts, node, doc,
- i = 0,
- l = collection.length,
- iNoClone = l - 1,
- value = args[ 0 ],
- valueIsFunction = isFunction( value );
-
- // We can't cloneNode fragments that contain checked, in WebKit
- if ( valueIsFunction ||
- ( l > 1 && typeof value === "string" &&
- !support.checkClone && rchecked.test( value ) ) ) {
- return collection.each( function( index ) {
- var self = collection.eq( index );
- if ( valueIsFunction ) {
- args[ 0 ] = value.call( this, index, self.html() );
- }
- domManip( self, args, callback, ignored );
- } );
- }
-
- if ( l ) {
- fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored );
- first = fragment.firstChild;
-
- if ( fragment.childNodes.length === 1 ) {
- fragment = first;
- }
-
- // Require either new content or an interest in ignored elements to invoke the callback
- if ( first || ignored ) {
- scripts = jQuery.map( getAll( fragment, "script" ), disableScript );
- hasScripts = scripts.length;
-
- // Use the original fragment for the last item
- // instead of the first because it can end up
- // being emptied incorrectly in certain situations (#8070).
- for ( ; i < l; i++ ) {
- node = fragment;
-
- if ( i !== iNoClone ) {
- node = jQuery.clone( node, true, true );
-
- // Keep references to cloned scripts for later restoration
- if ( hasScripts ) {
-
- // Support: Android <=4.0 only, PhantomJS 1 only
- // push.apply(_, arraylike) throws on ancient WebKit
- jQuery.merge( scripts, getAll( node, "script" ) );
- }
- }
-
- callback.call( collection[ i ], node, i );
- }
-
- if ( hasScripts ) {
- doc = scripts[ scripts.length - 1 ].ownerDocument;
-
- // Reenable scripts
- jQuery.map( scripts, restoreScript );
-
- // Evaluate executable scripts on first document insertion
- for ( i = 0; i < hasScripts; i++ ) {
- node = scripts[ i ];
- if ( rscriptType.test( node.type || "" ) &&
- !dataPriv.access( node, "globalEval" ) &&
- jQuery.contains( doc, node ) ) {
-
- if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) {
-
- // Optional AJAX dependency, but won't run scripts if not present
- if ( jQuery._evalUrl && !node.noModule ) {
- jQuery._evalUrl( node.src, {
- nonce: node.nonce || node.getAttribute( "nonce" )
- }, doc );
- }
- } else {
- DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc );
- }
- }
- }
- }
- }
- }
-
- return collection;
-}
-
-function remove( elem, selector, keepData ) {
- var node,
- nodes = selector ? jQuery.filter( selector, elem ) : elem,
- i = 0;
-
- for ( ; ( node = nodes[ i ] ) != null; i++ ) {
- if ( !keepData && node.nodeType === 1 ) {
- jQuery.cleanData( getAll( node ) );
- }
-
- if ( node.parentNode ) {
- if ( keepData && isAttached( node ) ) {
- setGlobalEval( getAll( node, "script" ) );
- }
- node.parentNode.removeChild( node );
- }
- }
-
- return elem;
-}
-
-jQuery.extend( {
- htmlPrefilter: function( html ) {
- return html;
- },
-
- clone: function( elem, dataAndEvents, deepDataAndEvents ) {
- var i, l, srcElements, destElements,
- clone = elem.cloneNode( true ),
- inPage = isAttached( elem );
-
- // Fix IE cloning issues
- if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) &&
- !jQuery.isXMLDoc( elem ) ) {
-
- // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2
- destElements = getAll( clone );
- srcElements = getAll( elem );
-
- for ( i = 0, l = srcElements.length; i < l; i++ ) {
- fixInput( srcElements[ i ], destElements[ i ] );
- }
- }
-
- // Copy the events from the original to the clone
- if ( dataAndEvents ) {
- if ( deepDataAndEvents ) {
- srcElements = srcElements || getAll( elem );
- destElements = destElements || getAll( clone );
-
- for ( i = 0, l = srcElements.length; i < l; i++ ) {
- cloneCopyEvent( srcElements[ i ], destElements[ i ] );
- }
- } else {
- cloneCopyEvent( elem, clone );
- }
- }
-
- // Preserve script evaluation history
- destElements = getAll( clone, "script" );
- if ( destElements.length > 0 ) {
- setGlobalEval( destElements, !inPage && getAll( elem, "script" ) );
- }
-
- // Return the cloned set
- return clone;
- },
-
- cleanData: function( elems ) {
- var data, elem, type,
- special = jQuery.event.special,
- i = 0;
-
- for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) {
- if ( acceptData( elem ) ) {
- if ( ( data = elem[ dataPriv.expando ] ) ) {
- if ( data.events ) {
- for ( type in data.events ) {
- if ( special[ type ] ) {
- jQuery.event.remove( elem, type );
-
- // This is a shortcut to avoid jQuery.event.remove's overhead
- } else {
- jQuery.removeEvent( elem, type, data.handle );
- }
- }
- }
-
- // Support: Chrome <=35 - 45+
- // Assign undefined instead of using delete, see Data#remove
- elem[ dataPriv.expando ] = undefined;
- }
- if ( elem[ dataUser.expando ] ) {
-
- // Support: Chrome <=35 - 45+
- // Assign undefined instead of using delete, see Data#remove
- elem[ dataUser.expando ] = undefined;
- }
- }
- }
- }
-} );
-
-jQuery.fn.extend( {
- detach: function( selector ) {
- return remove( this, selector, true );
- },
-
- remove: function( selector ) {
- return remove( this, selector );
- },
-
- text: function( value ) {
- return access( this, function( value ) {
- return value === undefined ?
- jQuery.text( this ) :
- this.empty().each( function() {
- if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
- this.textContent = value;
- }
- } );
- }, null, value, arguments.length );
- },
-
- append: function() {
- return domManip( this, arguments, function( elem ) {
- if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
- var target = manipulationTarget( this, elem );
- target.appendChild( elem );
- }
- } );
- },
-
- prepend: function() {
- return domManip( this, arguments, function( elem ) {
- if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) {
- var target = manipulationTarget( this, elem );
- target.insertBefore( elem, target.firstChild );
- }
- } );
- },
-
- before: function() {
- return domManip( this, arguments, function( elem ) {
- if ( this.parentNode ) {
- this.parentNode.insertBefore( elem, this );
- }
- } );
- },
-
- after: function() {
- return domManip( this, arguments, function( elem ) {
- if ( this.parentNode ) {
- this.parentNode.insertBefore( elem, this.nextSibling );
- }
- } );
- },
-
- empty: function() {
- var elem,
- i = 0;
-
- for ( ; ( elem = this[ i ] ) != null; i++ ) {
- if ( elem.nodeType === 1 ) {
-
- // Prevent memory leaks
- jQuery.cleanData( getAll( elem, false ) );
-
- // Remove any remaining nodes
- elem.textContent = "";
- }
- }
-
- return this;
- },
-
- clone: function( dataAndEvents, deepDataAndEvents ) {
- dataAndEvents = dataAndEvents == null ? false : dataAndEvents;
- deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents;
-
- return this.map( function() {
- return jQuery.clone( this, dataAndEvents, deepDataAndEvents );
- } );
- },
-
- html: function( value ) {
- return access( this, function( value ) {
- var elem = this[ 0 ] || {},
- i = 0,
- l = this.length;
-
- if ( value === undefined && elem.nodeType === 1 ) {
- return elem.innerHTML;
- }
-
- // See if we can take a shortcut and just use innerHTML
- if ( typeof value === "string" && !rnoInnerhtml.test( value ) &&
- !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) {
-
- value = jQuery.htmlPrefilter( value );
-
- try {
- for ( ; i < l; i++ ) {
- elem = this[ i ] || {};
-
- // Remove element nodes and prevent memory leaks
- if ( elem.nodeType === 1 ) {
- jQuery.cleanData( getAll( elem, false ) );
- elem.innerHTML = value;
- }
- }
-
- elem = 0;
-
- // If using innerHTML throws an exception, use the fallback method
- } catch ( e ) {}
- }
-
- if ( elem ) {
- this.empty().append( value );
- }
- }, null, value, arguments.length );
- },
-
- replaceWith: function() {
- var ignored = [];
-
- // Make the changes, replacing each non-ignored context element with the new content
- return domManip( this, arguments, function( elem ) {
- var parent = this.parentNode;
-
- if ( jQuery.inArray( this, ignored ) < 0 ) {
- jQuery.cleanData( getAll( this ) );
- if ( parent ) {
- parent.replaceChild( elem, this );
- }
- }
-
- // Force callback invocation
- }, ignored );
- }
-} );
-
-jQuery.each( {
- appendTo: "append",
- prependTo: "prepend",
- insertBefore: "before",
- insertAfter: "after",
- replaceAll: "replaceWith"
-}, function( name, original ) {
- jQuery.fn[ name ] = function( selector ) {
- var elems,
- ret = [],
- insert = jQuery( selector ),
- last = insert.length - 1,
- i = 0;
-
- for ( ; i <= last; i++ ) {
- elems = i === last ? this : this.clone( true );
- jQuery( insert[ i ] )[ original ]( elems );
-
- // Support: Android <=4.0 only, PhantomJS 1 only
- // .get() because push.apply(_, arraylike) throws on ancient WebKit
- push.apply( ret, elems.get() );
- }
-
- return this.pushStack( ret );
- };
-} );
-var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" );
-
-var getStyles = function( elem ) {
-
- // Support: IE <=11 only, Firefox <=30 (#15098, #14150)
- // IE throws on elements created in popups
- // FF meanwhile throws on frame elements through "defaultView.getComputedStyle"
- var view = elem.ownerDocument.defaultView;
-
- if ( !view || !view.opener ) {
- view = window;
- }
-
- return view.getComputedStyle( elem );
- };
-
-var swap = function( elem, options, callback ) {
- var ret, name,
- old = {};
-
- // Remember the old values, and insert the new ones
- for ( name in options ) {
- old[ name ] = elem.style[ name ];
- elem.style[ name ] = options[ name ];
- }
-
- ret = callback.call( elem );
-
- // Revert the old values
- for ( name in options ) {
- elem.style[ name ] = old[ name ];
- }
-
- return ret;
-};
-
-
-var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" );
-
-
-
-( function() {
-
- // Executing both pixelPosition & boxSizingReliable tests require only one layout
- // so they're executed at the same time to save the second computation.
- function computeStyleTests() {
-
- // This is a singleton, we need to execute it only once
- if ( !div ) {
- return;
- }
-
- container.style.cssText = "position:absolute;left:-11111px;width:60px;" +
- "margin-top:1px;padding:0;border:0";
- div.style.cssText =
- "position:relative;display:block;box-sizing:border-box;overflow:scroll;" +
- "margin:auto;border:1px;padding:1px;" +
- "width:60%;top:1%";
- documentElement.appendChild( container ).appendChild( div );
-
- var divStyle = window.getComputedStyle( div );
- pixelPositionVal = divStyle.top !== "1%";
-
- // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44
- reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12;
-
- // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3
- // Some styles come back with percentage values, even though they shouldn't
- div.style.right = "60%";
- pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36;
-
- // Support: IE 9 - 11 only
- // Detect misreporting of content dimensions for box-sizing:border-box elements
- boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36;
-
- // Support: IE 9 only
- // Detect overflow:scroll screwiness (gh-3699)
- // Support: Chrome <=64
- // Don't get tricked when zoom affects offsetWidth (gh-4029)
- div.style.position = "absolute";
- scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12;
-
- documentElement.removeChild( container );
-
- // Nullify the div so it wouldn't be stored in the memory and
- // it will also be a sign that checks already performed
- div = null;
- }
-
- function roundPixelMeasures( measure ) {
- return Math.round( parseFloat( measure ) );
- }
-
- var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal,
- reliableTrDimensionsVal, reliableMarginLeftVal,
- container = document.createElement( "div" ),
- div = document.createElement( "div" );
-
- // Finish early in limited (non-browser) environments
- if ( !div.style ) {
- return;
- }
-
- // Support: IE <=9 - 11 only
- // Style of cloned element affects source element cloned (#8908)
- div.style.backgroundClip = "content-box";
- div.cloneNode( true ).style.backgroundClip = "";
- support.clearCloneStyle = div.style.backgroundClip === "content-box";
-
- jQuery.extend( support, {
- boxSizingReliable: function() {
- computeStyleTests();
- return boxSizingReliableVal;
- },
- pixelBoxStyles: function() {
- computeStyleTests();
- return pixelBoxStylesVal;
- },
- pixelPosition: function() {
- computeStyleTests();
- return pixelPositionVal;
- },
- reliableMarginLeft: function() {
- computeStyleTests();
- return reliableMarginLeftVal;
- },
- scrollboxSize: function() {
- computeStyleTests();
- return scrollboxSizeVal;
- },
-
- // Support: IE 9 - 11+, Edge 15 - 18+
- // IE/Edge misreport `getComputedStyle` of table rows with width/height
- // set in CSS while `offset*` properties report correct values.
- // Behavior in IE 9 is more subtle than in newer versions & it passes
- // some versions of this test; make sure not to make it pass there!
- //
- // Support: Firefox 70+
- // Only Firefox includes border widths
- // in computed dimensions. (gh-4529)
- reliableTrDimensions: function() {
- var table, tr, trChild, trStyle;
- if ( reliableTrDimensionsVal == null ) {
- table = document.createElement( "table" );
- tr = document.createElement( "tr" );
- trChild = document.createElement( "div" );
-
- table.style.cssText = "position:absolute;left:-11111px;border-collapse:separate";
- tr.style.cssText = "border:1px solid";
-
- // Support: Chrome 86+
- // Height set through cssText does not get applied.
- // Computed height then comes back as 0.
- tr.style.height = "1px";
- trChild.style.height = "9px";
-
- // Support: Android 8 Chrome 86+
- // In our bodyBackground.html iframe,
- // display for all div elements is set to "inline",
- // which causes a problem only in Android 8 Chrome 86.
- // Ensuring the div is display: block
- // gets around this issue.
- trChild.style.display = "block";
-
- documentElement
- .appendChild( table )
- .appendChild( tr )
- .appendChild( trChild );
-
- trStyle = window.getComputedStyle( tr );
- reliableTrDimensionsVal = ( parseInt( trStyle.height, 10 ) +
- parseInt( trStyle.borderTopWidth, 10 ) +
- parseInt( trStyle.borderBottomWidth, 10 ) ) === tr.offsetHeight;
-
- documentElement.removeChild( table );
- }
- return reliableTrDimensionsVal;
- }
- } );
-} )();
-
-
-function curCSS( elem, name, computed ) {
- var width, minWidth, maxWidth, ret,
-
- // Support: Firefox 51+
- // Retrieving style before computed somehow
- // fixes an issue with getting wrong values
- // on detached elements
- style = elem.style;
-
- computed = computed || getStyles( elem );
-
- // getPropertyValue is needed for:
- // .css('filter') (IE 9 only, #12537)
- // .css('--customProperty) (#3144)
- if ( computed ) {
- ret = computed.getPropertyValue( name ) || computed[ name ];
-
- if ( ret === "" && !isAttached( elem ) ) {
- ret = jQuery.style( elem, name );
- }
-
- // A tribute to the "awesome hack by Dean Edwards"
- // Android Browser returns percentage for some values,
- // but width seems to be reliably pixels.
- // This is against the CSSOM draft spec:
- // https://drafts.csswg.org/cssom/#resolved-values
- if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) {
-
- // Remember the original values
- width = style.width;
- minWidth = style.minWidth;
- maxWidth = style.maxWidth;
-
- // Put in the new values to get a computed value out
- style.minWidth = style.maxWidth = style.width = ret;
- ret = computed.width;
-
- // Revert the changed values
- style.width = width;
- style.minWidth = minWidth;
- style.maxWidth = maxWidth;
- }
- }
-
- return ret !== undefined ?
-
- // Support: IE <=9 - 11 only
- // IE returns zIndex value as an integer.
- ret + "" :
- ret;
-}
-
-
-function addGetHookIf( conditionFn, hookFn ) {
-
- // Define the hook, we'll check on the first run if it's really needed.
- return {
- get: function() {
- if ( conditionFn() ) {
-
- // Hook not needed (or it's not possible to use it due
- // to missing dependency), remove it.
- delete this.get;
- return;
- }
-
- // Hook needed; redefine it so that the support test is not executed again.
- return ( this.get = hookFn ).apply( this, arguments );
- }
- };
-}
-
-
-var cssPrefixes = [ "Webkit", "Moz", "ms" ],
- emptyStyle = document.createElement( "div" ).style,
- vendorProps = {};
-
-// Return a vendor-prefixed property or undefined
-function vendorPropName( name ) {
-
- // Check for vendor prefixed names
- var capName = name[ 0 ].toUpperCase() + name.slice( 1 ),
- i = cssPrefixes.length;
-
- while ( i-- ) {
- name = cssPrefixes[ i ] + capName;
- if ( name in emptyStyle ) {
- return name;
- }
- }
-}
-
-// Return a potentially-mapped jQuery.cssProps or vendor prefixed property
-function finalPropName( name ) {
- var final = jQuery.cssProps[ name ] || vendorProps[ name ];
-
- if ( final ) {
- return final;
- }
- if ( name in emptyStyle ) {
- return name;
- }
- return vendorProps[ name ] = vendorPropName( name ) || name;
-}
-
-
-var
-
- // Swappable if display is none or starts with table
- // except "table", "table-cell", or "table-caption"
- // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display
- rdisplayswap = /^(none|table(?!-c[ea]).+)/,
- rcustomProp = /^--/,
- cssShow = { position: "absolute", visibility: "hidden", display: "block" },
- cssNormalTransform = {
- letterSpacing: "0",
- fontWeight: "400"
- };
-
-function setPositiveNumber( _elem, value, subtract ) {
-
- // Any relative (+/-) values have already been
- // normalized at this point
- var matches = rcssNum.exec( value );
- return matches ?
-
- // Guard against undefined "subtract", e.g., when used as in cssHooks
- Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) :
- value;
-}
-
-function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) {
- var i = dimension === "width" ? 1 : 0,
- extra = 0,
- delta = 0;
-
- // Adjustment may not be necessary
- if ( box === ( isBorderBox ? "border" : "content" ) ) {
- return 0;
- }
-
- for ( ; i < 4; i += 2 ) {
-
- // Both box models exclude margin
- if ( box === "margin" ) {
- delta += jQuery.css( elem, box + cssExpand[ i ], true, styles );
- }
-
- // If we get here with a content-box, we're seeking "padding" or "border" or "margin"
- if ( !isBorderBox ) {
-
- // Add padding
- delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
-
- // For "border" or "margin", add border
- if ( box !== "padding" ) {
- delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
-
- // But still keep track of it otherwise
- } else {
- extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
- }
-
- // If we get here with a border-box (content + padding + border), we're seeking "content" or
- // "padding" or "margin"
- } else {
-
- // For "content", subtract padding
- if ( box === "content" ) {
- delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles );
- }
-
- // For "content" or "padding", subtract border
- if ( box !== "margin" ) {
- delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles );
- }
- }
- }
-
- // Account for positive content-box scroll gutter when requested by providing computedVal
- if ( !isBorderBox && computedVal >= 0 ) {
-
- // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border
- // Assuming integer scroll gutter, subtract the rest and round down
- delta += Math.max( 0, Math.ceil(
- elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
- computedVal -
- delta -
- extra -
- 0.5
-
- // If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter
- // Use an explicit zero to avoid NaN (gh-3964)
- ) ) || 0;
- }
-
- return delta;
-}
-
-function getWidthOrHeight( elem, dimension, extra ) {
-
- // Start with computed style
- var styles = getStyles( elem ),
-
- // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322).
- // Fake content-box until we know it's needed to know the true value.
- boxSizingNeeded = !support.boxSizingReliable() || extra,
- isBorderBox = boxSizingNeeded &&
- jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
- valueIsBorderBox = isBorderBox,
-
- val = curCSS( elem, dimension, styles ),
- offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 );
-
- // Support: Firefox <=54
- // Return a confounding non-pixel value or feign ignorance, as appropriate.
- if ( rnumnonpx.test( val ) ) {
- if ( !extra ) {
- return val;
- }
- val = "auto";
- }
-
-
- // Support: IE 9 - 11 only
- // Use offsetWidth/offsetHeight for when box sizing is unreliable.
- // In those cases, the computed value can be trusted to be border-box.
- if ( ( !support.boxSizingReliable() && isBorderBox ||
-
- // Support: IE 10 - 11+, Edge 15 - 18+
- // IE/Edge misreport `getComputedStyle` of table rows with width/height
- // set in CSS while `offset*` properties report correct values.
- // Interestingly, in some cases IE 9 doesn't suffer from this issue.
- !support.reliableTrDimensions() && nodeName( elem, "tr" ) ||
-
- // Fall back to offsetWidth/offsetHeight when value is "auto"
- // This happens for inline elements with no explicit setting (gh-3571)
- val === "auto" ||
-
- // Support: Android <=4.1 - 4.3 only
- // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602)
- !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) &&
-
- // Make sure the element is visible & connected
- elem.getClientRects().length ) {
-
- isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box";
-
- // Where available, offsetWidth/offsetHeight approximate border box dimensions.
- // Where not available (e.g., SVG), assume unreliable box-sizing and interpret the
- // retrieved value as a content box dimension.
- valueIsBorderBox = offsetProp in elem;
- if ( valueIsBorderBox ) {
- val = elem[ offsetProp ];
- }
- }
-
- // Normalize "" and auto
- val = parseFloat( val ) || 0;
-
- // Adjust for the element's box model
- return ( val +
- boxModelAdjustment(
- elem,
- dimension,
- extra || ( isBorderBox ? "border" : "content" ),
- valueIsBorderBox,
- styles,
-
- // Provide the current computed size to request scroll gutter calculation (gh-3589)
- val
- )
- ) + "px";
-}
-
-jQuery.extend( {
-
- // Add in style property hooks for overriding the default
- // behavior of getting and setting a style property
- cssHooks: {
- opacity: {
- get: function( elem, computed ) {
- if ( computed ) {
-
- // We should always get a number back from opacity
- var ret = curCSS( elem, "opacity" );
- return ret === "" ? "1" : ret;
- }
- }
- }
- },
-
- // Don't automatically add "px" to these possibly-unitless properties
- cssNumber: {
- "animationIterationCount": true,
- "columnCount": true,
- "fillOpacity": true,
- "flexGrow": true,
- "flexShrink": true,
- "fontWeight": true,
- "gridArea": true,
- "gridColumn": true,
- "gridColumnEnd": true,
- "gridColumnStart": true,
- "gridRow": true,
- "gridRowEnd": true,
- "gridRowStart": true,
- "lineHeight": true,
- "opacity": true,
- "order": true,
- "orphans": true,
- "widows": true,
- "zIndex": true,
- "zoom": true
- },
-
- // Add in properties whose names you wish to fix before
- // setting or getting the value
- cssProps: {},
-
- // Get and set the style property on a DOM Node
- style: function( elem, name, value, extra ) {
-
- // Don't set styles on text and comment nodes
- if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) {
- return;
- }
-
- // Make sure that we're working with the right name
- var ret, type, hooks,
- origName = camelCase( name ),
- isCustomProp = rcustomProp.test( name ),
- style = elem.style;
-
- // Make sure that we're working with the right name. We don't
- // want to query the value if it is a CSS custom property
- // since they are user-defined.
- if ( !isCustomProp ) {
- name = finalPropName( origName );
- }
-
- // Gets hook for the prefixed version, then unprefixed version
- hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
-
- // Check if we're setting a value
- if ( value !== undefined ) {
- type = typeof value;
-
- // Convert "+=" or "-=" to relative numbers (#7345)
- if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) {
- value = adjustCSS( elem, name, ret );
-
- // Fixes bug #9237
- type = "number";
- }
-
- // Make sure that null and NaN values aren't set (#7116)
- if ( value == null || value !== value ) {
- return;
- }
-
- // If a number was passed in, add the unit (except for certain CSS properties)
- // The isCustomProp check can be removed in jQuery 4.0 when we only auto-append
- // "px" to a few hardcoded values.
- if ( type === "number" && !isCustomProp ) {
- value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" );
- }
-
- // background-* props affect original clone's values
- if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) {
- style[ name ] = "inherit";
- }
-
- // If a hook was provided, use that value, otherwise just set the specified value
- if ( !hooks || !( "set" in hooks ) ||
- ( value = hooks.set( elem, value, extra ) ) !== undefined ) {
-
- if ( isCustomProp ) {
- style.setProperty( name, value );
- } else {
- style[ name ] = value;
- }
- }
-
- } else {
-
- // If a hook was provided get the non-computed value from there
- if ( hooks && "get" in hooks &&
- ( ret = hooks.get( elem, false, extra ) ) !== undefined ) {
-
- return ret;
- }
-
- // Otherwise just get the value from the style object
- return style[ name ];
- }
- },
-
- css: function( elem, name, extra, styles ) {
- var val, num, hooks,
- origName = camelCase( name ),
- isCustomProp = rcustomProp.test( name );
-
- // Make sure that we're working with the right name. We don't
- // want to modify the value if it is a CSS custom property
- // since they are user-defined.
- if ( !isCustomProp ) {
- name = finalPropName( origName );
- }
-
- // Try prefixed name followed by the unprefixed name
- hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ];
-
- // If a hook was provided get the computed value from there
- if ( hooks && "get" in hooks ) {
- val = hooks.get( elem, true, extra );
- }
-
- // Otherwise, if a way to get the computed value exists, use that
- if ( val === undefined ) {
- val = curCSS( elem, name, styles );
- }
-
- // Convert "normal" to computed value
- if ( val === "normal" && name in cssNormalTransform ) {
- val = cssNormalTransform[ name ];
- }
-
- // Make numeric if forced or a qualifier was provided and val looks numeric
- if ( extra === "" || extra ) {
- num = parseFloat( val );
- return extra === true || isFinite( num ) ? num || 0 : val;
- }
-
- return val;
- }
-} );
-
-jQuery.each( [ "height", "width" ], function( _i, dimension ) {
- jQuery.cssHooks[ dimension ] = {
- get: function( elem, computed, extra ) {
- if ( computed ) {
-
- // Certain elements can have dimension info if we invisibly show them
- // but it must have a current display style that would benefit
- return rdisplayswap.test( jQuery.css( elem, "display" ) ) &&
-
- // Support: Safari 8+
- // Table columns in Safari have non-zero offsetWidth & zero
- // getBoundingClientRect().width unless display is changed.
- // Support: IE <=11 only
- // Running getBoundingClientRect on a disconnected node
- // in IE throws an error.
- ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ?
- swap( elem, cssShow, function() {
- return getWidthOrHeight( elem, dimension, extra );
- } ) :
- getWidthOrHeight( elem, dimension, extra );
- }
- },
-
- set: function( elem, value, extra ) {
- var matches,
- styles = getStyles( elem ),
-
- // Only read styles.position if the test has a chance to fail
- // to avoid forcing a reflow.
- scrollboxSizeBuggy = !support.scrollboxSize() &&
- styles.position === "absolute",
-
- // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991)
- boxSizingNeeded = scrollboxSizeBuggy || extra,
- isBorderBox = boxSizingNeeded &&
- jQuery.css( elem, "boxSizing", false, styles ) === "border-box",
- subtract = extra ?
- boxModelAdjustment(
- elem,
- dimension,
- extra,
- isBorderBox,
- styles
- ) :
- 0;
-
- // Account for unreliable border-box dimensions by comparing offset* to computed and
- // faking a content-box to get border and padding (gh-3699)
- if ( isBorderBox && scrollboxSizeBuggy ) {
- subtract -= Math.ceil(
- elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] -
- parseFloat( styles[ dimension ] ) -
- boxModelAdjustment( elem, dimension, "border", false, styles ) -
- 0.5
- );
- }
-
- // Convert to pixels if value adjustment is needed
- if ( subtract && ( matches = rcssNum.exec( value ) ) &&
- ( matches[ 3 ] || "px" ) !== "px" ) {
-
- elem.style[ dimension ] = value;
- value = jQuery.css( elem, dimension );
- }
-
- return setPositiveNumber( elem, value, subtract );
- }
- };
-} );
-
-jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft,
- function( elem, computed ) {
- if ( computed ) {
- return ( parseFloat( curCSS( elem, "marginLeft" ) ) ||
- elem.getBoundingClientRect().left -
- swap( elem, { marginLeft: 0 }, function() {
- return elem.getBoundingClientRect().left;
- } )
- ) + "px";
- }
- }
-);
-
-// These hooks are used by animate to expand properties
-jQuery.each( {
- margin: "",
- padding: "",
- border: "Width"
-}, function( prefix, suffix ) {
- jQuery.cssHooks[ prefix + suffix ] = {
- expand: function( value ) {
- var i = 0,
- expanded = {},
-
- // Assumes a single number if not a string
- parts = typeof value === "string" ? value.split( " " ) : [ value ];
-
- for ( ; i < 4; i++ ) {
- expanded[ prefix + cssExpand[ i ] + suffix ] =
- parts[ i ] || parts[ i - 2 ] || parts[ 0 ];
- }
-
- return expanded;
- }
- };
-
- if ( prefix !== "margin" ) {
- jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber;
- }
-} );
-
-jQuery.fn.extend( {
- css: function( name, value ) {
- return access( this, function( elem, name, value ) {
- var styles, len,
- map = {},
- i = 0;
-
- if ( Array.isArray( name ) ) {
- styles = getStyles( elem );
- len = name.length;
-
- for ( ; i < len; i++ ) {
- map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles );
- }
-
- return map;
- }
-
- return value !== undefined ?
- jQuery.style( elem, name, value ) :
- jQuery.css( elem, name );
- }, name, value, arguments.length > 1 );
- }
-} );
-
-
-function Tween( elem, options, prop, end, easing ) {
- return new Tween.prototype.init( elem, options, prop, end, easing );
-}
-jQuery.Tween = Tween;
-
-Tween.prototype = {
- constructor: Tween,
- init: function( elem, options, prop, end, easing, unit ) {
- this.elem = elem;
- this.prop = prop;
- this.easing = easing || jQuery.easing._default;
- this.options = options;
- this.start = this.now = this.cur();
- this.end = end;
- this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" );
- },
- cur: function() {
- var hooks = Tween.propHooks[ this.prop ];
-
- return hooks && hooks.get ?
- hooks.get( this ) :
- Tween.propHooks._default.get( this );
- },
- run: function( percent ) {
- var eased,
- hooks = Tween.propHooks[ this.prop ];
-
- if ( this.options.duration ) {
- this.pos = eased = jQuery.easing[ this.easing ](
- percent, this.options.duration * percent, 0, 1, this.options.duration
- );
- } else {
- this.pos = eased = percent;
- }
- this.now = ( this.end - this.start ) * eased + this.start;
-
- if ( this.options.step ) {
- this.options.step.call( this.elem, this.now, this );
- }
-
- if ( hooks && hooks.set ) {
- hooks.set( this );
- } else {
- Tween.propHooks._default.set( this );
- }
- return this;
- }
-};
-
-Tween.prototype.init.prototype = Tween.prototype;
-
-Tween.propHooks = {
- _default: {
- get: function( tween ) {
- var result;
-
- // Use a property on the element directly when it is not a DOM element,
- // or when there is no matching style property that exists.
- if ( tween.elem.nodeType !== 1 ||
- tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) {
- return tween.elem[ tween.prop ];
- }
-
- // Passing an empty string as a 3rd parameter to .css will automatically
- // attempt a parseFloat and fallback to a string if the parse fails.
- // Simple values such as "10px" are parsed to Float;
- // complex values such as "rotate(1rad)" are returned as-is.
- result = jQuery.css( tween.elem, tween.prop, "" );
-
- // Empty strings, null, undefined and "auto" are converted to 0.
- return !result || result === "auto" ? 0 : result;
- },
- set: function( tween ) {
-
- // Use step hook for back compat.
- // Use cssHook if its there.
- // Use .style if available and use plain properties where available.
- if ( jQuery.fx.step[ tween.prop ] ) {
- jQuery.fx.step[ tween.prop ]( tween );
- } else if ( tween.elem.nodeType === 1 && (
- jQuery.cssHooks[ tween.prop ] ||
- tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) {
- jQuery.style( tween.elem, tween.prop, tween.now + tween.unit );
- } else {
- tween.elem[ tween.prop ] = tween.now;
- }
- }
- }
-};
-
-// Support: IE <=9 only
-// Panic based approach to setting things on disconnected nodes
-Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = {
- set: function( tween ) {
- if ( tween.elem.nodeType && tween.elem.parentNode ) {
- tween.elem[ tween.prop ] = tween.now;
- }
- }
-};
-
-jQuery.easing = {
- linear: function( p ) {
- return p;
- },
- swing: function( p ) {
- return 0.5 - Math.cos( p * Math.PI ) / 2;
- },
- _default: "swing"
-};
-
-jQuery.fx = Tween.prototype.init;
-
-// Back compat <1.8 extension point
-jQuery.fx.step = {};
-
-
-
-
-var
- fxNow, inProgress,
- rfxtypes = /^(?:toggle|show|hide)$/,
- rrun = /queueHooks$/;
-
-function schedule() {
- if ( inProgress ) {
- if ( document.hidden === false && window.requestAnimationFrame ) {
- window.requestAnimationFrame( schedule );
- } else {
- window.setTimeout( schedule, jQuery.fx.interval );
- }
-
- jQuery.fx.tick();
- }
-}
-
-// Animations created synchronously will run synchronously
-function createFxNow() {
- window.setTimeout( function() {
- fxNow = undefined;
- } );
- return ( fxNow = Date.now() );
-}
-
-// Generate parameters to create a standard animation
-function genFx( type, includeWidth ) {
- var which,
- i = 0,
- attrs = { height: type };
-
- // If we include width, step value is 1 to do all cssExpand values,
- // otherwise step value is 2 to skip over Left and Right
- includeWidth = includeWidth ? 1 : 0;
- for ( ; i < 4; i += 2 - includeWidth ) {
- which = cssExpand[ i ];
- attrs[ "margin" + which ] = attrs[ "padding" + which ] = type;
- }
-
- if ( includeWidth ) {
- attrs.opacity = attrs.width = type;
- }
-
- return attrs;
-}
-
-function createTween( value, prop, animation ) {
- var tween,
- collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ),
- index = 0,
- length = collection.length;
- for ( ; index < length; index++ ) {
- if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) {
-
- // We're done with this property
- return tween;
- }
- }
-}
-
-function defaultPrefilter( elem, props, opts ) {
- var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display,
- isBox = "width" in props || "height" in props,
- anim = this,
- orig = {},
- style = elem.style,
- hidden = elem.nodeType && isHiddenWithinTree( elem ),
- dataShow = dataPriv.get( elem, "fxshow" );
-
- // Queue-skipping animations hijack the fx hooks
- if ( !opts.queue ) {
- hooks = jQuery._queueHooks( elem, "fx" );
- if ( hooks.unqueued == null ) {
- hooks.unqueued = 0;
- oldfire = hooks.empty.fire;
- hooks.empty.fire = function() {
- if ( !hooks.unqueued ) {
- oldfire();
- }
- };
- }
- hooks.unqueued++;
-
- anim.always( function() {
-
- // Ensure the complete handler is called before this completes
- anim.always( function() {
- hooks.unqueued--;
- if ( !jQuery.queue( elem, "fx" ).length ) {
- hooks.empty.fire();
- }
- } );
- } );
- }
-
- // Detect show/hide animations
- for ( prop in props ) {
- value = props[ prop ];
- if ( rfxtypes.test( value ) ) {
- delete props[ prop ];
- toggle = toggle || value === "toggle";
- if ( value === ( hidden ? "hide" : "show" ) ) {
-
- // Pretend to be hidden if this is a "show" and
- // there is still data from a stopped show/hide
- if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) {
- hidden = true;
-
- // Ignore all other no-op show/hide data
- } else {
- continue;
- }
- }
- orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop );
- }
- }
-
- // Bail out if this is a no-op like .hide().hide()
- propTween = !jQuery.isEmptyObject( props );
- if ( !propTween && jQuery.isEmptyObject( orig ) ) {
- return;
- }
-
- // Restrict "overflow" and "display" styles during box animations
- if ( isBox && elem.nodeType === 1 ) {
-
- // Support: IE <=9 - 11, Edge 12 - 15
- // Record all 3 overflow attributes because IE does not infer the shorthand
- // from identically-valued overflowX and overflowY and Edge just mirrors
- // the overflowX value there.
- opts.overflow = [ style.overflow, style.overflowX, style.overflowY ];
-
- // Identify a display type, preferring old show/hide data over the CSS cascade
- restoreDisplay = dataShow && dataShow.display;
- if ( restoreDisplay == null ) {
- restoreDisplay = dataPriv.get( elem, "display" );
- }
- display = jQuery.css( elem, "display" );
- if ( display === "none" ) {
- if ( restoreDisplay ) {
- display = restoreDisplay;
- } else {
-
- // Get nonempty value(s) by temporarily forcing visibility
- showHide( [ elem ], true );
- restoreDisplay = elem.style.display || restoreDisplay;
- display = jQuery.css( elem, "display" );
- showHide( [ elem ] );
- }
- }
-
- // Animate inline elements as inline-block
- if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) {
- if ( jQuery.css( elem, "float" ) === "none" ) {
-
- // Restore the original display value at the end of pure show/hide animations
- if ( !propTween ) {
- anim.done( function() {
- style.display = restoreDisplay;
- } );
- if ( restoreDisplay == null ) {
- display = style.display;
- restoreDisplay = display === "none" ? "" : display;
- }
- }
- style.display = "inline-block";
- }
- }
- }
-
- if ( opts.overflow ) {
- style.overflow = "hidden";
- anim.always( function() {
- style.overflow = opts.overflow[ 0 ];
- style.overflowX = opts.overflow[ 1 ];
- style.overflowY = opts.overflow[ 2 ];
- } );
- }
-
- // Implement show/hide animations
- propTween = false;
- for ( prop in orig ) {
-
- // General show/hide setup for this element animation
- if ( !propTween ) {
- if ( dataShow ) {
- if ( "hidden" in dataShow ) {
- hidden = dataShow.hidden;
- }
- } else {
- dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } );
- }
-
- // Store hidden/visible for toggle so `.stop().toggle()` "reverses"
- if ( toggle ) {
- dataShow.hidden = !hidden;
- }
-
- // Show elements before animating them
- if ( hidden ) {
- showHide( [ elem ], true );
- }
-
- /* eslint-disable no-loop-func */
-
- anim.done( function() {
-
- /* eslint-enable no-loop-func */
-
- // The final step of a "hide" animation is actually hiding the element
- if ( !hidden ) {
- showHide( [ elem ] );
- }
- dataPriv.remove( elem, "fxshow" );
- for ( prop in orig ) {
- jQuery.style( elem, prop, orig[ prop ] );
- }
- } );
- }
-
- // Per-property setup
- propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim );
- if ( !( prop in dataShow ) ) {
- dataShow[ prop ] = propTween.start;
- if ( hidden ) {
- propTween.end = propTween.start;
- propTween.start = 0;
- }
- }
- }
-}
-
-function propFilter( props, specialEasing ) {
- var index, name, easing, value, hooks;
-
- // camelCase, specialEasing and expand cssHook pass
- for ( index in props ) {
- name = camelCase( index );
- easing = specialEasing[ name ];
- value = props[ index ];
- if ( Array.isArray( value ) ) {
- easing = value[ 1 ];
- value = props[ index ] = value[ 0 ];
- }
-
- if ( index !== name ) {
- props[ name ] = value;
- delete props[ index ];
- }
-
- hooks = jQuery.cssHooks[ name ];
- if ( hooks && "expand" in hooks ) {
- value = hooks.expand( value );
- delete props[ name ];
-
- // Not quite $.extend, this won't overwrite existing keys.
- // Reusing 'index' because we have the correct "name"
- for ( index in value ) {
- if ( !( index in props ) ) {
- props[ index ] = value[ index ];
- specialEasing[ index ] = easing;
- }
- }
- } else {
- specialEasing[ name ] = easing;
- }
- }
-}
-
-function Animation( elem, properties, options ) {
- var result,
- stopped,
- index = 0,
- length = Animation.prefilters.length,
- deferred = jQuery.Deferred().always( function() {
-
- // Don't match elem in the :animated selector
- delete tick.elem;
- } ),
- tick = function() {
- if ( stopped ) {
- return false;
- }
- var currentTime = fxNow || createFxNow(),
- remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ),
-
- // Support: Android 2.3 only
- // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497)
- temp = remaining / animation.duration || 0,
- percent = 1 - temp,
- index = 0,
- length = animation.tweens.length;
-
- for ( ; index < length; index++ ) {
- animation.tweens[ index ].run( percent );
- }
-
- deferred.notifyWith( elem, [ animation, percent, remaining ] );
-
- // If there's more to do, yield
- if ( percent < 1 && length ) {
- return remaining;
- }
-
- // If this was an empty animation, synthesize a final progress notification
- if ( !length ) {
- deferred.notifyWith( elem, [ animation, 1, 0 ] );
- }
-
- // Resolve the animation and report its conclusion
- deferred.resolveWith( elem, [ animation ] );
- return false;
- },
- animation = deferred.promise( {
- elem: elem,
- props: jQuery.extend( {}, properties ),
- opts: jQuery.extend( true, {
- specialEasing: {},
- easing: jQuery.easing._default
- }, options ),
- originalProperties: properties,
- originalOptions: options,
- startTime: fxNow || createFxNow(),
- duration: options.duration,
- tweens: [],
- createTween: function( prop, end ) {
- var tween = jQuery.Tween( elem, animation.opts, prop, end,
- animation.opts.specialEasing[ prop ] || animation.opts.easing );
- animation.tweens.push( tween );
- return tween;
- },
- stop: function( gotoEnd ) {
- var index = 0,
-
- // If we are going to the end, we want to run all the tweens
- // otherwise we skip this part
- length = gotoEnd ? animation.tweens.length : 0;
- if ( stopped ) {
- return this;
- }
- stopped = true;
- for ( ; index < length; index++ ) {
- animation.tweens[ index ].run( 1 );
- }
-
- // Resolve when we played the last frame; otherwise, reject
- if ( gotoEnd ) {
- deferred.notifyWith( elem, [ animation, 1, 0 ] );
- deferred.resolveWith( elem, [ animation, gotoEnd ] );
- } else {
- deferred.rejectWith( elem, [ animation, gotoEnd ] );
- }
- return this;
- }
- } ),
- props = animation.props;
-
- propFilter( props, animation.opts.specialEasing );
-
- for ( ; index < length; index++ ) {
- result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts );
- if ( result ) {
- if ( isFunction( result.stop ) ) {
- jQuery._queueHooks( animation.elem, animation.opts.queue ).stop =
- result.stop.bind( result );
- }
- return result;
- }
- }
-
- jQuery.map( props, createTween, animation );
-
- if ( isFunction( animation.opts.start ) ) {
- animation.opts.start.call( elem, animation );
- }
-
- // Attach callbacks from options
- animation
- .progress( animation.opts.progress )
- .done( animation.opts.done, animation.opts.complete )
- .fail( animation.opts.fail )
- .always( animation.opts.always );
-
- jQuery.fx.timer(
- jQuery.extend( tick, {
- elem: elem,
- anim: animation,
- queue: animation.opts.queue
- } )
- );
-
- return animation;
-}
-
-jQuery.Animation = jQuery.extend( Animation, {
-
- tweeners: {
- "*": [ function( prop, value ) {
- var tween = this.createTween( prop, value );
- adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween );
- return tween;
- } ]
- },
-
- tweener: function( props, callback ) {
- if ( isFunction( props ) ) {
- callback = props;
- props = [ "*" ];
- } else {
- props = props.match( rnothtmlwhite );
- }
-
- var prop,
- index = 0,
- length = props.length;
-
- for ( ; index < length; index++ ) {
- prop = props[ index ];
- Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || [];
- Animation.tweeners[ prop ].unshift( callback );
- }
- },
-
- prefilters: [ defaultPrefilter ],
-
- prefilter: function( callback, prepend ) {
- if ( prepend ) {
- Animation.prefilters.unshift( callback );
- } else {
- Animation.prefilters.push( callback );
- }
- }
-} );
-
-jQuery.speed = function( speed, easing, fn ) {
- var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : {
- complete: fn || !fn && easing ||
- isFunction( speed ) && speed,
- duration: speed,
- easing: fn && easing || easing && !isFunction( easing ) && easing
- };
-
- // Go to the end state if fx are off
- if ( jQuery.fx.off ) {
- opt.duration = 0;
-
- } else {
- if ( typeof opt.duration !== "number" ) {
- if ( opt.duration in jQuery.fx.speeds ) {
- opt.duration = jQuery.fx.speeds[ opt.duration ];
-
- } else {
- opt.duration = jQuery.fx.speeds._default;
- }
- }
- }
-
- // Normalize opt.queue - true/undefined/null -> "fx"
- if ( opt.queue == null || opt.queue === true ) {
- opt.queue = "fx";
- }
-
- // Queueing
- opt.old = opt.complete;
-
- opt.complete = function() {
- if ( isFunction( opt.old ) ) {
- opt.old.call( this );
- }
-
- if ( opt.queue ) {
- jQuery.dequeue( this, opt.queue );
- }
- };
-
- return opt;
-};
-
-jQuery.fn.extend( {
- fadeTo: function( speed, to, easing, callback ) {
-
- // Show any hidden elements after setting opacity to 0
- return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show()
-
- // Animate to the value specified
- .end().animate( { opacity: to }, speed, easing, callback );
- },
- animate: function( prop, speed, easing, callback ) {
- var empty = jQuery.isEmptyObject( prop ),
- optall = jQuery.speed( speed, easing, callback ),
- doAnimation = function() {
-
- // Operate on a copy of prop so per-property easing won't be lost
- var anim = Animation( this, jQuery.extend( {}, prop ), optall );
-
- // Empty animations, or finishing resolves immediately
- if ( empty || dataPriv.get( this, "finish" ) ) {
- anim.stop( true );
- }
- };
-
- doAnimation.finish = doAnimation;
-
- return empty || optall.queue === false ?
- this.each( doAnimation ) :
- this.queue( optall.queue, doAnimation );
- },
- stop: function( type, clearQueue, gotoEnd ) {
- var stopQueue = function( hooks ) {
- var stop = hooks.stop;
- delete hooks.stop;
- stop( gotoEnd );
- };
-
- if ( typeof type !== "string" ) {
- gotoEnd = clearQueue;
- clearQueue = type;
- type = undefined;
- }
- if ( clearQueue ) {
- this.queue( type || "fx", [] );
- }
-
- return this.each( function() {
- var dequeue = true,
- index = type != null && type + "queueHooks",
- timers = jQuery.timers,
- data = dataPriv.get( this );
-
- if ( index ) {
- if ( data[ index ] && data[ index ].stop ) {
- stopQueue( data[ index ] );
- }
- } else {
- for ( index in data ) {
- if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) {
- stopQueue( data[ index ] );
- }
- }
- }
-
- for ( index = timers.length; index--; ) {
- if ( timers[ index ].elem === this &&
- ( type == null || timers[ index ].queue === type ) ) {
-
- timers[ index ].anim.stop( gotoEnd );
- dequeue = false;
- timers.splice( index, 1 );
- }
- }
-
- // Start the next in the queue if the last step wasn't forced.
- // Timers currently will call their complete callbacks, which
- // will dequeue but only if they were gotoEnd.
- if ( dequeue || !gotoEnd ) {
- jQuery.dequeue( this, type );
- }
- } );
- },
- finish: function( type ) {
- if ( type !== false ) {
- type = type || "fx";
- }
- return this.each( function() {
- var index,
- data = dataPriv.get( this ),
- queue = data[ type + "queue" ],
- hooks = data[ type + "queueHooks" ],
- timers = jQuery.timers,
- length = queue ? queue.length : 0;
-
- // Enable finishing flag on private data
- data.finish = true;
-
- // Empty the queue first
- jQuery.queue( this, type, [] );
-
- if ( hooks && hooks.stop ) {
- hooks.stop.call( this, true );
- }
-
- // Look for any active animations, and finish them
- for ( index = timers.length; index--; ) {
- if ( timers[ index ].elem === this && timers[ index ].queue === type ) {
- timers[ index ].anim.stop( true );
- timers.splice( index, 1 );
- }
- }
-
- // Look for any animations in the old queue and finish them
- for ( index = 0; index < length; index++ ) {
- if ( queue[ index ] && queue[ index ].finish ) {
- queue[ index ].finish.call( this );
- }
- }
-
- // Turn off finishing flag
- delete data.finish;
- } );
- }
-} );
-
-jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) {
- var cssFn = jQuery.fn[ name ];
- jQuery.fn[ name ] = function( speed, easing, callback ) {
- return speed == null || typeof speed === "boolean" ?
- cssFn.apply( this, arguments ) :
- this.animate( genFx( name, true ), speed, easing, callback );
- };
-} );
-
-// Generate shortcuts for custom animations
-jQuery.each( {
- slideDown: genFx( "show" ),
- slideUp: genFx( "hide" ),
- slideToggle: genFx( "toggle" ),
- fadeIn: { opacity: "show" },
- fadeOut: { opacity: "hide" },
- fadeToggle: { opacity: "toggle" }
-}, function( name, props ) {
- jQuery.fn[ name ] = function( speed, easing, callback ) {
- return this.animate( props, speed, easing, callback );
- };
-} );
-
-jQuery.timers = [];
-jQuery.fx.tick = function() {
- var timer,
- i = 0,
- timers = jQuery.timers;
-
- fxNow = Date.now();
-
- for ( ; i < timers.length; i++ ) {
- timer = timers[ i ];
-
- // Run the timer and safely remove it when done (allowing for external removal)
- if ( !timer() && timers[ i ] === timer ) {
- timers.splice( i--, 1 );
- }
- }
-
- if ( !timers.length ) {
- jQuery.fx.stop();
- }
- fxNow = undefined;
-};
-
-jQuery.fx.timer = function( timer ) {
- jQuery.timers.push( timer );
- jQuery.fx.start();
-};
-
-jQuery.fx.interval = 13;
-jQuery.fx.start = function() {
- if ( inProgress ) {
- return;
- }
-
- inProgress = true;
- schedule();
-};
-
-jQuery.fx.stop = function() {
- inProgress = null;
-};
-
-jQuery.fx.speeds = {
- slow: 600,
- fast: 200,
-
- // Default speed
- _default: 400
-};
-
-
-// Based off of the plugin by Clint Helfers, with permission.
-// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/
-jQuery.fn.delay = function( time, type ) {
- time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time;
- type = type || "fx";
-
- return this.queue( type, function( next, hooks ) {
- var timeout = window.setTimeout( next, time );
- hooks.stop = function() {
- window.clearTimeout( timeout );
- };
- } );
-};
-
-
-( function() {
- var input = document.createElement( "input" ),
- select = document.createElement( "select" ),
- opt = select.appendChild( document.createElement( "option" ) );
-
- input.type = "checkbox";
-
- // Support: Android <=4.3 only
- // Default value for a checkbox should be "on"
- support.checkOn = input.value !== "";
-
- // Support: IE <=11 only
- // Must access selectedIndex to make default options select
- support.optSelected = opt.selected;
-
- // Support: IE <=11 only
- // An input loses its value after becoming a radio
- input = document.createElement( "input" );
- input.value = "t";
- input.type = "radio";
- support.radioValue = input.value === "t";
-} )();
-
-
-var boolHook,
- attrHandle = jQuery.expr.attrHandle;
-
-jQuery.fn.extend( {
- attr: function( name, value ) {
- return access( this, jQuery.attr, name, value, arguments.length > 1 );
- },
-
- removeAttr: function( name ) {
- return this.each( function() {
- jQuery.removeAttr( this, name );
- } );
- }
-} );
-
-jQuery.extend( {
- attr: function( elem, name, value ) {
- var ret, hooks,
- nType = elem.nodeType;
-
- // Don't get/set attributes on text, comment and attribute nodes
- if ( nType === 3 || nType === 8 || nType === 2 ) {
- return;
- }
-
- // Fallback to prop when attributes are not supported
- if ( typeof elem.getAttribute === "undefined" ) {
- return jQuery.prop( elem, name, value );
- }
-
- // Attribute hooks are determined by the lowercase version
- // Grab necessary hook if one is defined
- if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
- hooks = jQuery.attrHooks[ name.toLowerCase() ] ||
- ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined );
- }
-
- if ( value !== undefined ) {
- if ( value === null ) {
- jQuery.removeAttr( elem, name );
- return;
- }
-
- if ( hooks && "set" in hooks &&
- ( ret = hooks.set( elem, value, name ) ) !== undefined ) {
- return ret;
- }
-
- elem.setAttribute( name, value + "" );
- return value;
- }
-
- if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
- return ret;
- }
-
- ret = jQuery.find.attr( elem, name );
-
- // Non-existent attributes return null, we normalize to undefined
- return ret == null ? undefined : ret;
- },
-
- attrHooks: {
- type: {
- set: function( elem, value ) {
- if ( !support.radioValue && value === "radio" &&
- nodeName( elem, "input" ) ) {
- var val = elem.value;
- elem.setAttribute( "type", value );
- if ( val ) {
- elem.value = val;
- }
- return value;
- }
- }
- }
- },
-
- removeAttr: function( elem, value ) {
- var name,
- i = 0,
-
- // Attribute names can contain non-HTML whitespace characters
- // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2
- attrNames = value && value.match( rnothtmlwhite );
-
- if ( attrNames && elem.nodeType === 1 ) {
- while ( ( name = attrNames[ i++ ] ) ) {
- elem.removeAttribute( name );
- }
- }
- }
-} );
-
-// Hooks for boolean attributes
-boolHook = {
- set: function( elem, value, name ) {
- if ( value === false ) {
-
- // Remove boolean attributes when set to false
- jQuery.removeAttr( elem, name );
- } else {
- elem.setAttribute( name, name );
- }
- return name;
- }
-};
-
-jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) {
- var getter = attrHandle[ name ] || jQuery.find.attr;
-
- attrHandle[ name ] = function( elem, name, isXML ) {
- var ret, handle,
- lowercaseName = name.toLowerCase();
-
- if ( !isXML ) {
-
- // Avoid an infinite loop by temporarily removing this function from the getter
- handle = attrHandle[ lowercaseName ];
- attrHandle[ lowercaseName ] = ret;
- ret = getter( elem, name, isXML ) != null ?
- lowercaseName :
- null;
- attrHandle[ lowercaseName ] = handle;
- }
- return ret;
- };
-} );
-
-
-
-
-var rfocusable = /^(?:input|select|textarea|button)$/i,
- rclickable = /^(?:a|area)$/i;
-
-jQuery.fn.extend( {
- prop: function( name, value ) {
- return access( this, jQuery.prop, name, value, arguments.length > 1 );
- },
-
- removeProp: function( name ) {
- return this.each( function() {
- delete this[ jQuery.propFix[ name ] || name ];
- } );
- }
-} );
-
-jQuery.extend( {
- prop: function( elem, name, value ) {
- var ret, hooks,
- nType = elem.nodeType;
-
- // Don't get/set properties on text, comment and attribute nodes
- if ( nType === 3 || nType === 8 || nType === 2 ) {
- return;
- }
-
- if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) {
-
- // Fix name and attach hooks
- name = jQuery.propFix[ name ] || name;
- hooks = jQuery.propHooks[ name ];
- }
-
- if ( value !== undefined ) {
- if ( hooks && "set" in hooks &&
- ( ret = hooks.set( elem, value, name ) ) !== undefined ) {
- return ret;
- }
-
- return ( elem[ name ] = value );
- }
-
- if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) {
- return ret;
- }
-
- return elem[ name ];
- },
-
- propHooks: {
- tabIndex: {
- get: function( elem ) {
-
- // Support: IE <=9 - 11 only
- // elem.tabIndex doesn't always return the
- // correct value when it hasn't been explicitly set
- // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/
- // Use proper attribute retrieval(#12072)
- var tabindex = jQuery.find.attr( elem, "tabindex" );
-
- if ( tabindex ) {
- return parseInt( tabindex, 10 );
- }
-
- if (
- rfocusable.test( elem.nodeName ) ||
- rclickable.test( elem.nodeName ) &&
- elem.href
- ) {
- return 0;
- }
-
- return -1;
- }
- }
- },
-
- propFix: {
- "for": "htmlFor",
- "class": "className"
- }
-} );
-
-// Support: IE <=11 only
-// Accessing the selectedIndex property
-// forces the browser to respect setting selected
-// on the option
-// The getter ensures a default option is selected
-// when in an optgroup
-// eslint rule "no-unused-expressions" is disabled for this code
-// since it considers such accessions noop
-if ( !support.optSelected ) {
- jQuery.propHooks.selected = {
- get: function( elem ) {
-
- /* eslint no-unused-expressions: "off" */
-
- var parent = elem.parentNode;
- if ( parent && parent.parentNode ) {
- parent.parentNode.selectedIndex;
- }
- return null;
- },
- set: function( elem ) {
-
- /* eslint no-unused-expressions: "off" */
-
- var parent = elem.parentNode;
- if ( parent ) {
- parent.selectedIndex;
-
- if ( parent.parentNode ) {
- parent.parentNode.selectedIndex;
- }
- }
- }
- };
-}
-
-jQuery.each( [
- "tabIndex",
- "readOnly",
- "maxLength",
- "cellSpacing",
- "cellPadding",
- "rowSpan",
- "colSpan",
- "useMap",
- "frameBorder",
- "contentEditable"
-], function() {
- jQuery.propFix[ this.toLowerCase() ] = this;
-} );
-
-
-
-
- // Strip and collapse whitespace according to HTML spec
- // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace
- function stripAndCollapse( value ) {
- var tokens = value.match( rnothtmlwhite ) || [];
- return tokens.join( " " );
- }
-
-
-function getClass( elem ) {
- return elem.getAttribute && elem.getAttribute( "class" ) || "";
-}
-
-function classesToArray( value ) {
- if ( Array.isArray( value ) ) {
- return value;
- }
- if ( typeof value === "string" ) {
- return value.match( rnothtmlwhite ) || [];
- }
- return [];
-}
-
-jQuery.fn.extend( {
- addClass: function( value ) {
- var classes, elem, cur, curValue, clazz, j, finalValue,
- i = 0;
-
- if ( isFunction( value ) ) {
- return this.each( function( j ) {
- jQuery( this ).addClass( value.call( this, j, getClass( this ) ) );
- } );
- }
-
- classes = classesToArray( value );
-
- if ( classes.length ) {
- while ( ( elem = this[ i++ ] ) ) {
- curValue = getClass( elem );
- cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
-
- if ( cur ) {
- j = 0;
- while ( ( clazz = classes[ j++ ] ) ) {
- if ( cur.indexOf( " " + clazz + " " ) < 0 ) {
- cur += clazz + " ";
- }
- }
-
- // Only assign if different to avoid unneeded rendering.
- finalValue = stripAndCollapse( cur );
- if ( curValue !== finalValue ) {
- elem.setAttribute( "class", finalValue );
- }
- }
- }
- }
-
- return this;
- },
-
- removeClass: function( value ) {
- var classes, elem, cur, curValue, clazz, j, finalValue,
- i = 0;
-
- if ( isFunction( value ) ) {
- return this.each( function( j ) {
- jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) );
- } );
- }
-
- if ( !arguments.length ) {
- return this.attr( "class", "" );
- }
-
- classes = classesToArray( value );
-
- if ( classes.length ) {
- while ( ( elem = this[ i++ ] ) ) {
- curValue = getClass( elem );
-
- // This expression is here for better compressibility (see addClass)
- cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " );
-
- if ( cur ) {
- j = 0;
- while ( ( clazz = classes[ j++ ] ) ) {
-
- // Remove *all* instances
- while ( cur.indexOf( " " + clazz + " " ) > -1 ) {
- cur = cur.replace( " " + clazz + " ", " " );
- }
- }
-
- // Only assign if different to avoid unneeded rendering.
- finalValue = stripAndCollapse( cur );
- if ( curValue !== finalValue ) {
- elem.setAttribute( "class", finalValue );
- }
- }
- }
- }
-
- return this;
- },
-
- toggleClass: function( value, stateVal ) {
- var type = typeof value,
- isValidValue = type === "string" || Array.isArray( value );
-
- if ( typeof stateVal === "boolean" && isValidValue ) {
- return stateVal ? this.addClass( value ) : this.removeClass( value );
- }
-
- if ( isFunction( value ) ) {
- return this.each( function( i ) {
- jQuery( this ).toggleClass(
- value.call( this, i, getClass( this ), stateVal ),
- stateVal
- );
- } );
- }
-
- return this.each( function() {
- var className, i, self, classNames;
-
- if ( isValidValue ) {
-
- // Toggle individual class names
- i = 0;
- self = jQuery( this );
- classNames = classesToArray( value );
-
- while ( ( className = classNames[ i++ ] ) ) {
-
- // Check each className given, space separated list
- if ( self.hasClass( className ) ) {
- self.removeClass( className );
- } else {
- self.addClass( className );
- }
- }
-
- // Toggle whole class name
- } else if ( value === undefined || type === "boolean" ) {
- className = getClass( this );
- if ( className ) {
-
- // Store className if set
- dataPriv.set( this, "__className__", className );
- }
-
- // If the element has a class name or if we're passed `false`,
- // then remove the whole classname (if there was one, the above saved it).
- // Otherwise bring back whatever was previously saved (if anything),
- // falling back to the empty string if nothing was stored.
- if ( this.setAttribute ) {
- this.setAttribute( "class",
- className || value === false ?
- "" :
- dataPriv.get( this, "__className__" ) || ""
- );
- }
- }
- } );
- },
-
- hasClass: function( selector ) {
- var className, elem,
- i = 0;
-
- className = " " + selector + " ";
- while ( ( elem = this[ i++ ] ) ) {
- if ( elem.nodeType === 1 &&
- ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) {
- return true;
- }
- }
-
- return false;
- }
-} );
-
-
-
-
-var rreturn = /\r/g;
-
-jQuery.fn.extend( {
- val: function( value ) {
- var hooks, ret, valueIsFunction,
- elem = this[ 0 ];
-
- if ( !arguments.length ) {
- if ( elem ) {
- hooks = jQuery.valHooks[ elem.type ] ||
- jQuery.valHooks[ elem.nodeName.toLowerCase() ];
-
- if ( hooks &&
- "get" in hooks &&
- ( ret = hooks.get( elem, "value" ) ) !== undefined
- ) {
- return ret;
- }
-
- ret = elem.value;
-
- // Handle most common string cases
- if ( typeof ret === "string" ) {
- return ret.replace( rreturn, "" );
- }
-
- // Handle cases where value is null/undef or number
- return ret == null ? "" : ret;
- }
-
- return;
- }
-
- valueIsFunction = isFunction( value );
-
- return this.each( function( i ) {
- var val;
-
- if ( this.nodeType !== 1 ) {
- return;
- }
-
- if ( valueIsFunction ) {
- val = value.call( this, i, jQuery( this ).val() );
- } else {
- val = value;
- }
-
- // Treat null/undefined as ""; convert numbers to string
- if ( val == null ) {
- val = "";
-
- } else if ( typeof val === "number" ) {
- val += "";
-
- } else if ( Array.isArray( val ) ) {
- val = jQuery.map( val, function( value ) {
- return value == null ? "" : value + "";
- } );
- }
-
- hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ];
-
- // If set returns undefined, fall back to normal setting
- if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) {
- this.value = val;
- }
- } );
- }
-} );
-
-jQuery.extend( {
- valHooks: {
- option: {
- get: function( elem ) {
-
- var val = jQuery.find.attr( elem, "value" );
- return val != null ?
- val :
-
- // Support: IE <=10 - 11 only
- // option.text throws exceptions (#14686, #14858)
- // Strip and collapse whitespace
- // https://html.spec.whatwg.org/#strip-and-collapse-whitespace
- stripAndCollapse( jQuery.text( elem ) );
- }
- },
- select: {
- get: function( elem ) {
- var value, option, i,
- options = elem.options,
- index = elem.selectedIndex,
- one = elem.type === "select-one",
- values = one ? null : [],
- max = one ? index + 1 : options.length;
-
- if ( index < 0 ) {
- i = max;
-
- } else {
- i = one ? index : 0;
- }
-
- // Loop through all the selected options
- for ( ; i < max; i++ ) {
- option = options[ i ];
-
- // Support: IE <=9 only
- // IE8-9 doesn't update selected after form reset (#2551)
- if ( ( option.selected || i === index ) &&
-
- // Don't return options that are disabled or in a disabled optgroup
- !option.disabled &&
- ( !option.parentNode.disabled ||
- !nodeName( option.parentNode, "optgroup" ) ) ) {
-
- // Get the specific value for the option
- value = jQuery( option ).val();
-
- // We don't need an array for one selects
- if ( one ) {
- return value;
- }
-
- // Multi-Selects return an array
- values.push( value );
- }
- }
-
- return values;
- },
-
- set: function( elem, value ) {
- var optionSet, option,
- options = elem.options,
- values = jQuery.makeArray( value ),
- i = options.length;
-
- while ( i-- ) {
- option = options[ i ];
-
- /* eslint-disable no-cond-assign */
-
- if ( option.selected =
- jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1
- ) {
- optionSet = true;
- }
-
- /* eslint-enable no-cond-assign */
- }
-
- // Force browsers to behave consistently when non-matching value is set
- if ( !optionSet ) {
- elem.selectedIndex = -1;
- }
- return values;
- }
- }
- }
-} );
-
-// Radios and checkboxes getter/setter
-jQuery.each( [ "radio", "checkbox" ], function() {
- jQuery.valHooks[ this ] = {
- set: function( elem, value ) {
- if ( Array.isArray( value ) ) {
- return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 );
- }
- }
- };
- if ( !support.checkOn ) {
- jQuery.valHooks[ this ].get = function( elem ) {
- return elem.getAttribute( "value" ) === null ? "on" : elem.value;
- };
- }
-} );
-
-
-
-
-// Return jQuery for attributes-only inclusion
-
-
-support.focusin = "onfocusin" in window;
-
-
-var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/,
- stopPropagationCallback = function( e ) {
- e.stopPropagation();
- };
-
-jQuery.extend( jQuery.event, {
-
- trigger: function( event, data, elem, onlyHandlers ) {
-
- var i, cur, tmp, bubbleType, ontype, handle, special, lastElement,
- eventPath = [ elem || document ],
- type = hasOwn.call( event, "type" ) ? event.type : event,
- namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : [];
-
- cur = lastElement = tmp = elem = elem || document;
-
- // Don't do events on text and comment nodes
- if ( elem.nodeType === 3 || elem.nodeType === 8 ) {
- return;
- }
-
- // focus/blur morphs to focusin/out; ensure we're not firing them right now
- if ( rfocusMorph.test( type + jQuery.event.triggered ) ) {
- return;
- }
-
- if ( type.indexOf( "." ) > -1 ) {
-
- // Namespaced trigger; create a regexp to match event type in handle()
- namespaces = type.split( "." );
- type = namespaces.shift();
- namespaces.sort();
- }
- ontype = type.indexOf( ":" ) < 0 && "on" + type;
-
- // Caller can pass in a jQuery.Event object, Object, or just an event type string
- event = event[ jQuery.expando ] ?
- event :
- new jQuery.Event( type, typeof event === "object" && event );
-
- // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true)
- event.isTrigger = onlyHandlers ? 2 : 3;
- event.namespace = namespaces.join( "." );
- event.rnamespace = event.namespace ?
- new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) :
- null;
-
- // Clean up the event in case it is being reused
- event.result = undefined;
- if ( !event.target ) {
- event.target = elem;
- }
-
- // Clone any incoming data and prepend the event, creating the handler arg list
- data = data == null ?
- [ event ] :
- jQuery.makeArray( data, [ event ] );
-
- // Allow special events to draw outside the lines
- special = jQuery.event.special[ type ] || {};
- if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) {
- return;
- }
-
- // Determine event propagation path in advance, per W3C events spec (#9951)
- // Bubble up to document, then to window; watch for a global ownerDocument var (#9724)
- if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) {
-
- bubbleType = special.delegateType || type;
- if ( !rfocusMorph.test( bubbleType + type ) ) {
- cur = cur.parentNode;
- }
- for ( ; cur; cur = cur.parentNode ) {
- eventPath.push( cur );
- tmp = cur;
- }
-
- // Only add window if we got to document (e.g., not plain obj or detached DOM)
- if ( tmp === ( elem.ownerDocument || document ) ) {
- eventPath.push( tmp.defaultView || tmp.parentWindow || window );
- }
- }
-
- // Fire handlers on the event path
- i = 0;
- while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) {
- lastElement = cur;
- event.type = i > 1 ?
- bubbleType :
- special.bindType || type;
-
- // jQuery handler
- handle = ( dataPriv.get( cur, "events" ) || Object.create( null ) )[ event.type ] &&
- dataPriv.get( cur, "handle" );
- if ( handle ) {
- handle.apply( cur, data );
- }
-
- // Native handler
- handle = ontype && cur[ ontype ];
- if ( handle && handle.apply && acceptData( cur ) ) {
- event.result = handle.apply( cur, data );
- if ( event.result === false ) {
- event.preventDefault();
- }
- }
- }
- event.type = type;
-
- // If nobody prevented the default action, do it now
- if ( !onlyHandlers && !event.isDefaultPrevented() ) {
-
- if ( ( !special._default ||
- special._default.apply( eventPath.pop(), data ) === false ) &&
- acceptData( elem ) ) {
-
- // Call a native DOM method on the target with the same name as the event.
- // Don't do default actions on window, that's where global variables be (#6170)
- if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) {
-
- // Don't re-trigger an onFOO event when we call its FOO() method
- tmp = elem[ ontype ];
-
- if ( tmp ) {
- elem[ ontype ] = null;
- }
-
- // Prevent re-triggering of the same event, since we already bubbled it above
- jQuery.event.triggered = type;
-
- if ( event.isPropagationStopped() ) {
- lastElement.addEventListener( type, stopPropagationCallback );
- }
-
- elem[ type ]();
-
- if ( event.isPropagationStopped() ) {
- lastElement.removeEventListener( type, stopPropagationCallback );
- }
-
- jQuery.event.triggered = undefined;
-
- if ( tmp ) {
- elem[ ontype ] = tmp;
- }
- }
- }
- }
-
- return event.result;
- },
-
- // Piggyback on a donor event to simulate a different one
- // Used only for `focus(in | out)` events
- simulate: function( type, elem, event ) {
- var e = jQuery.extend(
- new jQuery.Event(),
- event,
- {
- type: type,
- isSimulated: true
- }
- );
-
- jQuery.event.trigger( e, null, elem );
- }
-
-} );
-
-jQuery.fn.extend( {
-
- trigger: function( type, data ) {
- return this.each( function() {
- jQuery.event.trigger( type, data, this );
- } );
- },
- triggerHandler: function( type, data ) {
- var elem = this[ 0 ];
- if ( elem ) {
- return jQuery.event.trigger( type, data, elem, true );
- }
- }
-} );
-
-
-// Support: Firefox <=44
-// Firefox doesn't have focus(in | out) events
-// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787
-//
-// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1
-// focus(in | out) events fire after focus & blur events,
-// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order
-// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857
-if ( !support.focusin ) {
- jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) {
-
- // Attach a single capturing handler on the document while someone wants focusin/focusout
- var handler = function( event ) {
- jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) );
- };
-
- jQuery.event.special[ fix ] = {
- setup: function() {
-
- // Handle: regular nodes (via `this.ownerDocument`), window
- // (via `this.document`) & document (via `this`).
- var doc = this.ownerDocument || this.document || this,
- attaches = dataPriv.access( doc, fix );
-
- if ( !attaches ) {
- doc.addEventListener( orig, handler, true );
- }
- dataPriv.access( doc, fix, ( attaches || 0 ) + 1 );
- },
- teardown: function() {
- var doc = this.ownerDocument || this.document || this,
- attaches = dataPriv.access( doc, fix ) - 1;
-
- if ( !attaches ) {
- doc.removeEventListener( orig, handler, true );
- dataPriv.remove( doc, fix );
-
- } else {
- dataPriv.access( doc, fix, attaches );
- }
- }
- };
- } );
-}
-var location = window.location;
-
-var nonce = { guid: Date.now() };
-
-var rquery = ( /\?/ );
-
-
-
-// Cross-browser xml parsing
-jQuery.parseXML = function( data ) {
- var xml, parserErrorElem;
- if ( !data || typeof data !== "string" ) {
- return null;
- }
-
- // Support: IE 9 - 11 only
- // IE throws on parseFromString with invalid input.
- try {
- xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" );
- } catch ( e ) {}
-
- parserErrorElem = xml && xml.getElementsByTagName( "parsererror" )[ 0 ];
- if ( !xml || parserErrorElem ) {
- jQuery.error( "Invalid XML: " + (
- parserErrorElem ?
- jQuery.map( parserErrorElem.childNodes, function( el ) {
- return el.textContent;
- } ).join( "\n" ) :
- data
- ) );
- }
- return xml;
-};
-
-
-var
- rbracket = /\[\]$/,
- rCRLF = /\r?\n/g,
- rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i,
- rsubmittable = /^(?:input|select|textarea|keygen)/i;
-
-function buildParams( prefix, obj, traditional, add ) {
- var name;
-
- if ( Array.isArray( obj ) ) {
-
- // Serialize array item.
- jQuery.each( obj, function( i, v ) {
- if ( traditional || rbracket.test( prefix ) ) {
-
- // Treat each array item as a scalar.
- add( prefix, v );
-
- } else {
-
- // Item is non-scalar (array or object), encode its numeric index.
- buildParams(
- prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]",
- v,
- traditional,
- add
- );
- }
- } );
-
- } else if ( !traditional && toType( obj ) === "object" ) {
-
- // Serialize object item.
- for ( name in obj ) {
- buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add );
- }
-
- } else {
-
- // Serialize scalar item.
- add( prefix, obj );
- }
-}
-
-// Serialize an array of form elements or a set of
-// key/values into a query string
-jQuery.param = function( a, traditional ) {
- var prefix,
- s = [],
- add = function( key, valueOrFunction ) {
-
- // If value is a function, invoke it and use its return value
- var value = isFunction( valueOrFunction ) ?
- valueOrFunction() :
- valueOrFunction;
-
- s[ s.length ] = encodeURIComponent( key ) + "=" +
- encodeURIComponent( value == null ? "" : value );
- };
-
- if ( a == null ) {
- return "";
- }
-
- // If an array was passed in, assume that it is an array of form elements.
- if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) {
-
- // Serialize the form elements
- jQuery.each( a, function() {
- add( this.name, this.value );
- } );
-
- } else {
-
- // If traditional, encode the "old" way (the way 1.3.2 or older
- // did it), otherwise encode params recursively.
- for ( prefix in a ) {
- buildParams( prefix, a[ prefix ], traditional, add );
- }
- }
-
- // Return the resulting serialization
- return s.join( "&" );
-};
-
-jQuery.fn.extend( {
- serialize: function() {
- return jQuery.param( this.serializeArray() );
- },
- serializeArray: function() {
- return this.map( function() {
-
- // Can add propHook for "elements" to filter or add form elements
- var elements = jQuery.prop( this, "elements" );
- return elements ? jQuery.makeArray( elements ) : this;
- } ).filter( function() {
- var type = this.type;
-
- // Use .is( ":disabled" ) so that fieldset[disabled] works
- return this.name && !jQuery( this ).is( ":disabled" ) &&
- rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) &&
- ( this.checked || !rcheckableType.test( type ) );
- } ).map( function( _i, elem ) {
- var val = jQuery( this ).val();
-
- if ( val == null ) {
- return null;
- }
-
- if ( Array.isArray( val ) ) {
- return jQuery.map( val, function( val ) {
- return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
- } );
- }
-
- return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) };
- } ).get();
- }
-} );
-
-
-var
- r20 = /%20/g,
- rhash = /#.*$/,
- rantiCache = /([?&])_=[^&]*/,
- rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg,
-
- // #7653, #8125, #8152: local protocol detection
- rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/,
- rnoContent = /^(?:GET|HEAD)$/,
- rprotocol = /^\/\//,
-
- /* Prefilters
- * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example)
- * 2) These are called:
- * - BEFORE asking for a transport
- * - AFTER param serialization (s.data is a string if s.processData is true)
- * 3) key is the dataType
- * 4) the catchall symbol "*" can be used
- * 5) execution will start with transport dataType and THEN continue down to "*" if needed
- */
- prefilters = {},
-
- /* Transports bindings
- * 1) key is the dataType
- * 2) the catchall symbol "*" can be used
- * 3) selection will start with transport dataType and THEN go to "*" if needed
- */
- transports = {},
-
- // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression
- allTypes = "*/".concat( "*" ),
-
- // Anchor tag for parsing the document origin
- originAnchor = document.createElement( "a" );
-
-originAnchor.href = location.href;
-
-// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport
-function addToPrefiltersOrTransports( structure ) {
-
- // dataTypeExpression is optional and defaults to "*"
- return function( dataTypeExpression, func ) {
-
- if ( typeof dataTypeExpression !== "string" ) {
- func = dataTypeExpression;
- dataTypeExpression = "*";
- }
-
- var dataType,
- i = 0,
- dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || [];
-
- if ( isFunction( func ) ) {
-
- // For each dataType in the dataTypeExpression
- while ( ( dataType = dataTypes[ i++ ] ) ) {
-
- // Prepend if requested
- if ( dataType[ 0 ] === "+" ) {
- dataType = dataType.slice( 1 ) || "*";
- ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func );
-
- // Otherwise append
- } else {
- ( structure[ dataType ] = structure[ dataType ] || [] ).push( func );
- }
- }
- }
- };
-}
-
-// Base inspection function for prefilters and transports
-function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) {
-
- var inspected = {},
- seekingTransport = ( structure === transports );
-
- function inspect( dataType ) {
- var selected;
- inspected[ dataType ] = true;
- jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) {
- var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR );
- if ( typeof dataTypeOrTransport === "string" &&
- !seekingTransport && !inspected[ dataTypeOrTransport ] ) {
-
- options.dataTypes.unshift( dataTypeOrTransport );
- inspect( dataTypeOrTransport );
- return false;
- } else if ( seekingTransport ) {
- return !( selected = dataTypeOrTransport );
- }
- } );
- return selected;
- }
-
- return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" );
-}
-
-// A special extend for ajax options
-// that takes "flat" options (not to be deep extended)
-// Fixes #9887
-function ajaxExtend( target, src ) {
- var key, deep,
- flatOptions = jQuery.ajaxSettings.flatOptions || {};
-
- for ( key in src ) {
- if ( src[ key ] !== undefined ) {
- ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ];
- }
- }
- if ( deep ) {
- jQuery.extend( true, target, deep );
- }
-
- return target;
-}
-
-/* Handles responses to an ajax request:
- * - finds the right dataType (mediates between content-type and expected dataType)
- * - returns the corresponding response
- */
-function ajaxHandleResponses( s, jqXHR, responses ) {
-
- var ct, type, finalDataType, firstDataType,
- contents = s.contents,
- dataTypes = s.dataTypes;
-
- // Remove auto dataType and get content-type in the process
- while ( dataTypes[ 0 ] === "*" ) {
- dataTypes.shift();
- if ( ct === undefined ) {
- ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" );
- }
- }
-
- // Check if we're dealing with a known content-type
- if ( ct ) {
- for ( type in contents ) {
- if ( contents[ type ] && contents[ type ].test( ct ) ) {
- dataTypes.unshift( type );
- break;
- }
- }
- }
-
- // Check to see if we have a response for the expected dataType
- if ( dataTypes[ 0 ] in responses ) {
- finalDataType = dataTypes[ 0 ];
- } else {
-
- // Try convertible dataTypes
- for ( type in responses ) {
- if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) {
- finalDataType = type;
- break;
- }
- if ( !firstDataType ) {
- firstDataType = type;
- }
- }
-
- // Or just use first one
- finalDataType = finalDataType || firstDataType;
- }
-
- // If we found a dataType
- // We add the dataType to the list if needed
- // and return the corresponding response
- if ( finalDataType ) {
- if ( finalDataType !== dataTypes[ 0 ] ) {
- dataTypes.unshift( finalDataType );
- }
- return responses[ finalDataType ];
- }
-}
-
-/* Chain conversions given the request and the original response
- * Also sets the responseXXX fields on the jqXHR instance
- */
-function ajaxConvert( s, response, jqXHR, isSuccess ) {
- var conv2, current, conv, tmp, prev,
- converters = {},
-
- // Work with a copy of dataTypes in case we need to modify it for conversion
- dataTypes = s.dataTypes.slice();
-
- // Create converters map with lowercased keys
- if ( dataTypes[ 1 ] ) {
- for ( conv in s.converters ) {
- converters[ conv.toLowerCase() ] = s.converters[ conv ];
- }
- }
-
- current = dataTypes.shift();
-
- // Convert to each sequential dataType
- while ( current ) {
-
- if ( s.responseFields[ current ] ) {
- jqXHR[ s.responseFields[ current ] ] = response;
- }
-
- // Apply the dataFilter if provided
- if ( !prev && isSuccess && s.dataFilter ) {
- response = s.dataFilter( response, s.dataType );
- }
-
- prev = current;
- current = dataTypes.shift();
-
- if ( current ) {
-
- // There's only work to do if current dataType is non-auto
- if ( current === "*" ) {
-
- current = prev;
-
- // Convert response if prev dataType is non-auto and differs from current
- } else if ( prev !== "*" && prev !== current ) {
-
- // Seek a direct converter
- conv = converters[ prev + " " + current ] || converters[ "* " + current ];
-
- // If none found, seek a pair
- if ( !conv ) {
- for ( conv2 in converters ) {
-
- // If conv2 outputs current
- tmp = conv2.split( " " );
- if ( tmp[ 1 ] === current ) {
-
- // If prev can be converted to accepted input
- conv = converters[ prev + " " + tmp[ 0 ] ] ||
- converters[ "* " + tmp[ 0 ] ];
- if ( conv ) {
-
- // Condense equivalence converters
- if ( conv === true ) {
- conv = converters[ conv2 ];
-
- // Otherwise, insert the intermediate dataType
- } else if ( converters[ conv2 ] !== true ) {
- current = tmp[ 0 ];
- dataTypes.unshift( tmp[ 1 ] );
- }
- break;
- }
- }
- }
- }
-
- // Apply converter (if not an equivalence)
- if ( conv !== true ) {
-
- // Unless errors are allowed to bubble, catch and return them
- if ( conv && s.throws ) {
- response = conv( response );
- } else {
- try {
- response = conv( response );
- } catch ( e ) {
- return {
- state: "parsererror",
- error: conv ? e : "No conversion from " + prev + " to " + current
- };
- }
- }
- }
- }
- }
- }
-
- return { state: "success", data: response };
-}
-
-jQuery.extend( {
-
- // Counter for holding the number of active queries
- active: 0,
-
- // Last-Modified header cache for next request
- lastModified: {},
- etag: {},
-
- ajaxSettings: {
- url: location.href,
- type: "GET",
- isLocal: rlocalProtocol.test( location.protocol ),
- global: true,
- processData: true,
- async: true,
- contentType: "application/x-www-form-urlencoded; charset=UTF-8",
-
- /*
- timeout: 0,
- data: null,
- dataType: null,
- username: null,
- password: null,
- cache: null,
- throws: false,
- traditional: false,
- headers: {},
- */
-
- accepts: {
- "*": allTypes,
- text: "text/plain",
- html: "text/html",
- xml: "application/xml, text/xml",
- json: "application/json, text/javascript"
- },
-
- contents: {
- xml: /\bxml\b/,
- html: /\bhtml/,
- json: /\bjson\b/
- },
-
- responseFields: {
- xml: "responseXML",
- text: "responseText",
- json: "responseJSON"
- },
-
- // Data converters
- // Keys separate source (or catchall "*") and destination types with a single space
- converters: {
-
- // Convert anything to text
- "* text": String,
-
- // Text to html (true = no transformation)
- "text html": true,
-
- // Evaluate text as a json expression
- "text json": JSON.parse,
-
- // Parse text as xml
- "text xml": jQuery.parseXML
- },
-
- // For options that shouldn't be deep extended:
- // you can add your own custom options here if
- // and when you create one that shouldn't be
- // deep extended (see ajaxExtend)
- flatOptions: {
- url: true,
- context: true
- }
- },
-
- // Creates a full fledged settings object into target
- // with both ajaxSettings and settings fields.
- // If target is omitted, writes into ajaxSettings.
- ajaxSetup: function( target, settings ) {
- return settings ?
-
- // Building a settings object
- ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) :
-
- // Extending ajaxSettings
- ajaxExtend( jQuery.ajaxSettings, target );
- },
-
- ajaxPrefilter: addToPrefiltersOrTransports( prefilters ),
- ajaxTransport: addToPrefiltersOrTransports( transports ),
-
- // Main method
- ajax: function( url, options ) {
-
- // If url is an object, simulate pre-1.5 signature
- if ( typeof url === "object" ) {
- options = url;
- url = undefined;
- }
-
- // Force options to be an object
- options = options || {};
-
- var transport,
-
- // URL without anti-cache param
- cacheURL,
-
- // Response headers
- responseHeadersString,
- responseHeaders,
-
- // timeout handle
- timeoutTimer,
-
- // Url cleanup var
- urlAnchor,
-
- // Request state (becomes false upon send and true upon completion)
- completed,
-
- // To know if global events are to be dispatched
- fireGlobals,
-
- // Loop variable
- i,
-
- // uncached part of the url
- uncached,
-
- // Create the final options object
- s = jQuery.ajaxSetup( {}, options ),
-
- // Callbacks context
- callbackContext = s.context || s,
-
- // Context for global events is callbackContext if it is a DOM node or jQuery collection
- globalEventContext = s.context &&
- ( callbackContext.nodeType || callbackContext.jquery ) ?
- jQuery( callbackContext ) :
- jQuery.event,
-
- // Deferreds
- deferred = jQuery.Deferred(),
- completeDeferred = jQuery.Callbacks( "once memory" ),
-
- // Status-dependent callbacks
- statusCode = s.statusCode || {},
-
- // Headers (they are sent all at once)
- requestHeaders = {},
- requestHeadersNames = {},
-
- // Default abort message
- strAbort = "canceled",
-
- // Fake xhr
- jqXHR = {
- readyState: 0,
-
- // Builds headers hashtable if needed
- getResponseHeader: function( key ) {
- var match;
- if ( completed ) {
- if ( !responseHeaders ) {
- responseHeaders = {};
- while ( ( match = rheaders.exec( responseHeadersString ) ) ) {
- responseHeaders[ match[ 1 ].toLowerCase() + " " ] =
- ( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] )
- .concat( match[ 2 ] );
- }
- }
- match = responseHeaders[ key.toLowerCase() + " " ];
- }
- return match == null ? null : match.join( ", " );
- },
-
- // Raw string
- getAllResponseHeaders: function() {
- return completed ? responseHeadersString : null;
- },
-
- // Caches the header
- setRequestHeader: function( name, value ) {
- if ( completed == null ) {
- name = requestHeadersNames[ name.toLowerCase() ] =
- requestHeadersNames[ name.toLowerCase() ] || name;
- requestHeaders[ name ] = value;
- }
- return this;
- },
-
- // Overrides response content-type header
- overrideMimeType: function( type ) {
- if ( completed == null ) {
- s.mimeType = type;
- }
- return this;
- },
-
- // Status-dependent callbacks
- statusCode: function( map ) {
- var code;
- if ( map ) {
- if ( completed ) {
-
- // Execute the appropriate callbacks
- jqXHR.always( map[ jqXHR.status ] );
- } else {
-
- // Lazy-add the new callbacks in a way that preserves old ones
- for ( code in map ) {
- statusCode[ code ] = [ statusCode[ code ], map[ code ] ];
- }
- }
- }
- return this;
- },
-
- // Cancel the request
- abort: function( statusText ) {
- var finalText = statusText || strAbort;
- if ( transport ) {
- transport.abort( finalText );
- }
- done( 0, finalText );
- return this;
- }
- };
-
- // Attach deferreds
- deferred.promise( jqXHR );
-
- // Add protocol if not provided (prefilters might expect it)
- // Handle falsy url in the settings object (#10093: consistency with old signature)
- // We also use the url parameter if available
- s.url = ( ( url || s.url || location.href ) + "" )
- .replace( rprotocol, location.protocol + "//" );
-
- // Alias method option to type as per ticket #12004
- s.type = options.method || options.type || s.method || s.type;
-
- // Extract dataTypes list
- s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ];
-
- // A cross-domain request is in order when the origin doesn't match the current origin.
- if ( s.crossDomain == null ) {
- urlAnchor = document.createElement( "a" );
-
- // Support: IE <=8 - 11, Edge 12 - 15
- // IE throws exception on accessing the href property if url is malformed,
- // e.g. http://example.com:80x/
- try {
- urlAnchor.href = s.url;
-
- // Support: IE <=8 - 11 only
- // Anchor's host property isn't correctly set when s.url is relative
- urlAnchor.href = urlAnchor.href;
- s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !==
- urlAnchor.protocol + "//" + urlAnchor.host;
- } catch ( e ) {
-
- // If there is an error parsing the URL, assume it is crossDomain,
- // it can be rejected by the transport if it is invalid
- s.crossDomain = true;
- }
- }
-
- // Convert data if not already a string
- if ( s.data && s.processData && typeof s.data !== "string" ) {
- s.data = jQuery.param( s.data, s.traditional );
- }
-
- // Apply prefilters
- inspectPrefiltersOrTransports( prefilters, s, options, jqXHR );
-
- // If request was aborted inside a prefilter, stop there
- if ( completed ) {
- return jqXHR;
- }
-
- // We can fire global events as of now if asked to
- // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118)
- fireGlobals = jQuery.event && s.global;
-
- // Watch for a new set of requests
- if ( fireGlobals && jQuery.active++ === 0 ) {
- jQuery.event.trigger( "ajaxStart" );
- }
-
- // Uppercase the type
- s.type = s.type.toUpperCase();
-
- // Determine if request has content
- s.hasContent = !rnoContent.test( s.type );
-
- // Save the URL in case we're toying with the If-Modified-Since
- // and/or If-None-Match header later on
- // Remove hash to simplify url manipulation
- cacheURL = s.url.replace( rhash, "" );
-
- // More options handling for requests with no content
- if ( !s.hasContent ) {
-
- // Remember the hash so we can put it back
- uncached = s.url.slice( cacheURL.length );
-
- // If data is available and should be processed, append data to url
- if ( s.data && ( s.processData || typeof s.data === "string" ) ) {
- cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data;
-
- // #9682: remove data so that it's not used in an eventual retry
- delete s.data;
- }
-
- // Add or update anti-cache param if needed
- if ( s.cache === false ) {
- cacheURL = cacheURL.replace( rantiCache, "$1" );
- uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) +
- uncached;
- }
-
- // Put hash and anti-cache on the URL that will be requested (gh-1732)
- s.url = cacheURL + uncached;
-
- // Change '%20' to '+' if this is encoded form body content (gh-2658)
- } else if ( s.data && s.processData &&
- ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) {
- s.data = s.data.replace( r20, "+" );
- }
-
- // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
- if ( s.ifModified ) {
- if ( jQuery.lastModified[ cacheURL ] ) {
- jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] );
- }
- if ( jQuery.etag[ cacheURL ] ) {
- jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] );
- }
- }
-
- // Set the correct header, if data is being sent
- if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) {
- jqXHR.setRequestHeader( "Content-Type", s.contentType );
- }
-
- // Set the Accepts header for the server, depending on the dataType
- jqXHR.setRequestHeader(
- "Accept",
- s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ?
- s.accepts[ s.dataTypes[ 0 ] ] +
- ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) :
- s.accepts[ "*" ]
- );
-
- // Check for headers option
- for ( i in s.headers ) {
- jqXHR.setRequestHeader( i, s.headers[ i ] );
- }
-
- // Allow custom headers/mimetypes and early abort
- if ( s.beforeSend &&
- ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) {
-
- // Abort if not done already and return
- return jqXHR.abort();
- }
-
- // Aborting is no longer a cancellation
- strAbort = "abort";
-
- // Install callbacks on deferreds
- completeDeferred.add( s.complete );
- jqXHR.done( s.success );
- jqXHR.fail( s.error );
-
- // Get transport
- transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR );
-
- // If no transport, we auto-abort
- if ( !transport ) {
- done( -1, "No Transport" );
- } else {
- jqXHR.readyState = 1;
-
- // Send global event
- if ( fireGlobals ) {
- globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] );
- }
-
- // If request was aborted inside ajaxSend, stop there
- if ( completed ) {
- return jqXHR;
- }
-
- // Timeout
- if ( s.async && s.timeout > 0 ) {
- timeoutTimer = window.setTimeout( function() {
- jqXHR.abort( "timeout" );
- }, s.timeout );
- }
-
- try {
- completed = false;
- transport.send( requestHeaders, done );
- } catch ( e ) {
-
- // Rethrow post-completion exceptions
- if ( completed ) {
- throw e;
- }
-
- // Propagate others as results
- done( -1, e );
- }
- }
-
- // Callback for when everything is done
- function done( status, nativeStatusText, responses, headers ) {
- var isSuccess, success, error, response, modified,
- statusText = nativeStatusText;
-
- // Ignore repeat invocations
- if ( completed ) {
- return;
- }
-
- completed = true;
-
- // Clear timeout if it exists
- if ( timeoutTimer ) {
- window.clearTimeout( timeoutTimer );
- }
-
- // Dereference transport for early garbage collection
- // (no matter how long the jqXHR object will be used)
- transport = undefined;
-
- // Cache response headers
- responseHeadersString = headers || "";
-
- // Set readyState
- jqXHR.readyState = status > 0 ? 4 : 0;
-
- // Determine if successful
- isSuccess = status >= 200 && status < 300 || status === 304;
-
- // Get response data
- if ( responses ) {
- response = ajaxHandleResponses( s, jqXHR, responses );
- }
-
- // Use a noop converter for missing script but not if jsonp
- if ( !isSuccess &&
- jQuery.inArray( "script", s.dataTypes ) > -1 &&
- jQuery.inArray( "json", s.dataTypes ) < 0 ) {
- s.converters[ "text script" ] = function() {};
- }
-
- // Convert no matter what (that way responseXXX fields are always set)
- response = ajaxConvert( s, response, jqXHR, isSuccess );
-
- // If successful, handle type chaining
- if ( isSuccess ) {
-
- // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode.
- if ( s.ifModified ) {
- modified = jqXHR.getResponseHeader( "Last-Modified" );
- if ( modified ) {
- jQuery.lastModified[ cacheURL ] = modified;
- }
- modified = jqXHR.getResponseHeader( "etag" );
- if ( modified ) {
- jQuery.etag[ cacheURL ] = modified;
- }
- }
-
- // if no content
- if ( status === 204 || s.type === "HEAD" ) {
- statusText = "nocontent";
-
- // if not modified
- } else if ( status === 304 ) {
- statusText = "notmodified";
-
- // If we have data, let's convert it
- } else {
- statusText = response.state;
- success = response.data;
- error = response.error;
- isSuccess = !error;
- }
- } else {
-
- // Extract error from statusText and normalize for non-aborts
- error = statusText;
- if ( status || !statusText ) {
- statusText = "error";
- if ( status < 0 ) {
- status = 0;
- }
- }
- }
-
- // Set data for the fake xhr object
- jqXHR.status = status;
- jqXHR.statusText = ( nativeStatusText || statusText ) + "";
-
- // Success/Error
- if ( isSuccess ) {
- deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] );
- } else {
- deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] );
- }
-
- // Status-dependent callbacks
- jqXHR.statusCode( statusCode );
- statusCode = undefined;
-
- if ( fireGlobals ) {
- globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError",
- [ jqXHR, s, isSuccess ? success : error ] );
- }
-
- // Complete
- completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] );
-
- if ( fireGlobals ) {
- globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] );
-
- // Handle the global AJAX counter
- if ( !( --jQuery.active ) ) {
- jQuery.event.trigger( "ajaxStop" );
- }
- }
- }
-
- return jqXHR;
- },
-
- getJSON: function( url, data, callback ) {
- return jQuery.get( url, data, callback, "json" );
- },
-
- getScript: function( url, callback ) {
- return jQuery.get( url, undefined, callback, "script" );
- }
-} );
-
-jQuery.each( [ "get", "post" ], function( _i, method ) {
- jQuery[ method ] = function( url, data, callback, type ) {
-
- // Shift arguments if data argument was omitted
- if ( isFunction( data ) ) {
- type = type || callback;
- callback = data;
- data = undefined;
- }
-
- // The url can be an options object (which then must have .url)
- return jQuery.ajax( jQuery.extend( {
- url: url,
- type: method,
- dataType: type,
- data: data,
- success: callback
- }, jQuery.isPlainObject( url ) && url ) );
- };
-} );
-
-jQuery.ajaxPrefilter( function( s ) {
- var i;
- for ( i in s.headers ) {
- if ( i.toLowerCase() === "content-type" ) {
- s.contentType = s.headers[ i ] || "";
- }
- }
-} );
-
-
-jQuery._evalUrl = function( url, options, doc ) {
- return jQuery.ajax( {
- url: url,
-
- // Make this explicit, since user can override this through ajaxSetup (#11264)
- type: "GET",
- dataType: "script",
- cache: true,
- async: false,
- global: false,
-
- // Only evaluate the response if it is successful (gh-4126)
- // dataFilter is not invoked for failure responses, so using it instead
- // of the default converter is kludgy but it works.
- converters: {
- "text script": function() {}
- },
- dataFilter: function( response ) {
- jQuery.globalEval( response, options, doc );
- }
- } );
-};
-
-
-jQuery.fn.extend( {
- wrapAll: function( html ) {
- var wrap;
-
- if ( this[ 0 ] ) {
- if ( isFunction( html ) ) {
- html = html.call( this[ 0 ] );
- }
-
- // The elements to wrap the target around
- wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true );
-
- if ( this[ 0 ].parentNode ) {
- wrap.insertBefore( this[ 0 ] );
- }
-
- wrap.map( function() {
- var elem = this;
-
- while ( elem.firstElementChild ) {
- elem = elem.firstElementChild;
- }
-
- return elem;
- } ).append( this );
- }
-
- return this;
- },
-
- wrapInner: function( html ) {
- if ( isFunction( html ) ) {
- return this.each( function( i ) {
- jQuery( this ).wrapInner( html.call( this, i ) );
- } );
- }
-
- return this.each( function() {
- var self = jQuery( this ),
- contents = self.contents();
-
- if ( contents.length ) {
- contents.wrapAll( html );
-
- } else {
- self.append( html );
- }
- } );
- },
-
- wrap: function( html ) {
- var htmlIsFunction = isFunction( html );
-
- return this.each( function( i ) {
- jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html );
- } );
- },
-
- unwrap: function( selector ) {
- this.parent( selector ).not( "body" ).each( function() {
- jQuery( this ).replaceWith( this.childNodes );
- } );
- return this;
- }
-} );
-
-
-jQuery.expr.pseudos.hidden = function( elem ) {
- return !jQuery.expr.pseudos.visible( elem );
-};
-jQuery.expr.pseudos.visible = function( elem ) {
- return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length );
-};
-
-
-
-
-jQuery.ajaxSettings.xhr = function() {
- try {
- return new window.XMLHttpRequest();
- } catch ( e ) {}
-};
-
-var xhrSuccessStatus = {
-
- // File protocol always yields status code 0, assume 200
- 0: 200,
-
- // Support: IE <=9 only
- // #1450: sometimes IE returns 1223 when it should be 204
- 1223: 204
- },
- xhrSupported = jQuery.ajaxSettings.xhr();
-
-support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported );
-support.ajax = xhrSupported = !!xhrSupported;
-
-jQuery.ajaxTransport( function( options ) {
- var callback, errorCallback;
-
- // Cross domain only allowed if supported through XMLHttpRequest
- if ( support.cors || xhrSupported && !options.crossDomain ) {
- return {
- send: function( headers, complete ) {
- var i,
- xhr = options.xhr();
-
- xhr.open(
- options.type,
- options.url,
- options.async,
- options.username,
- options.password
- );
-
- // Apply custom fields if provided
- if ( options.xhrFields ) {
- for ( i in options.xhrFields ) {
- xhr[ i ] = options.xhrFields[ i ];
- }
- }
-
- // Override mime type if needed
- if ( options.mimeType && xhr.overrideMimeType ) {
- xhr.overrideMimeType( options.mimeType );
- }
-
- // X-Requested-With header
- // For cross-domain requests, seeing as conditions for a preflight are
- // akin to a jigsaw puzzle, we simply never set it to be sure.
- // (it can always be set on a per-request basis or even using ajaxSetup)
- // For same-domain requests, won't change header if already provided.
- if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) {
- headers[ "X-Requested-With" ] = "XMLHttpRequest";
- }
-
- // Set headers
- for ( i in headers ) {
- xhr.setRequestHeader( i, headers[ i ] );
- }
-
- // Callback
- callback = function( type ) {
- return function() {
- if ( callback ) {
- callback = errorCallback = xhr.onload =
- xhr.onerror = xhr.onabort = xhr.ontimeout =
- xhr.onreadystatechange = null;
-
- if ( type === "abort" ) {
- xhr.abort();
- } else if ( type === "error" ) {
-
- // Support: IE <=9 only
- // On a manual native abort, IE9 throws
- // errors on any property access that is not readyState
- if ( typeof xhr.status !== "number" ) {
- complete( 0, "error" );
- } else {
- complete(
-
- // File: protocol always yields status 0; see #8605, #14207
- xhr.status,
- xhr.statusText
- );
- }
- } else {
- complete(
- xhrSuccessStatus[ xhr.status ] || xhr.status,
- xhr.statusText,
-
- // Support: IE <=9 only
- // IE9 has no XHR2 but throws on binary (trac-11426)
- // For XHR2 non-text, let the caller handle it (gh-2498)
- ( xhr.responseType || "text" ) !== "text" ||
- typeof xhr.responseText !== "string" ?
- { binary: xhr.response } :
- { text: xhr.responseText },
- xhr.getAllResponseHeaders()
- );
- }
- }
- };
- };
-
- // Listen to events
- xhr.onload = callback();
- errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" );
-
- // Support: IE 9 only
- // Use onreadystatechange to replace onabort
- // to handle uncaught aborts
- if ( xhr.onabort !== undefined ) {
- xhr.onabort = errorCallback;
- } else {
- xhr.onreadystatechange = function() {
-
- // Check readyState before timeout as it changes
- if ( xhr.readyState === 4 ) {
-
- // Allow onerror to be called first,
- // but that will not handle a native abort
- // Also, save errorCallback to a variable
- // as xhr.onerror cannot be accessed
- window.setTimeout( function() {
- if ( callback ) {
- errorCallback();
- }
- } );
- }
- };
- }
-
- // Create the abort callback
- callback = callback( "abort" );
-
- try {
-
- // Do send the request (this may raise an exception)
- xhr.send( options.hasContent && options.data || null );
- } catch ( e ) {
-
- // #14683: Only rethrow if this hasn't been notified as an error yet
- if ( callback ) {
- throw e;
- }
- }
- },
-
- abort: function() {
- if ( callback ) {
- callback();
- }
- }
- };
- }
-} );
-
-
-
-
-// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432)
-jQuery.ajaxPrefilter( function( s ) {
- if ( s.crossDomain ) {
- s.contents.script = false;
- }
-} );
-
-// Install script dataType
-jQuery.ajaxSetup( {
- accepts: {
- script: "text/javascript, application/javascript, " +
- "application/ecmascript, application/x-ecmascript"
- },
- contents: {
- script: /\b(?:java|ecma)script\b/
- },
- converters: {
- "text script": function( text ) {
- jQuery.globalEval( text );
- return text;
- }
- }
-} );
-
-// Handle cache's special case and crossDomain
-jQuery.ajaxPrefilter( "script", function( s ) {
- if ( s.cache === undefined ) {
- s.cache = false;
- }
- if ( s.crossDomain ) {
- s.type = "GET";
- }
-} );
-
-// Bind script tag hack transport
-jQuery.ajaxTransport( "script", function( s ) {
-
- // This transport only deals with cross domain or forced-by-attrs requests
- if ( s.crossDomain || s.scriptAttrs ) {
- var script, callback;
- return {
- send: function( _, complete ) {
- script = jQuery( "<script>" )
- .attr( s.scriptAttrs || {} )
- .prop( { charset: s.scriptCharset, src: s.url } )
- .on( "load error", callback = function( evt ) {
- script.remove();
- callback = null;
- if ( evt ) {
- complete( evt.type === "error" ? 404 : 200, evt.type );
- }
- } );
-
- // Use native DOM manipulation to avoid our domManip AJAX trickery
- document.head.appendChild( script[ 0 ] );
- },
- abort: function() {
- if ( callback ) {
- callback();
- }
- }
- };
- }
-} );
-
-
-
-
-var oldCallbacks = [],
- rjsonp = /(=)\?(?=&|$)|\?\?/;
-
-// Default jsonp settings
-jQuery.ajaxSetup( {
- jsonp: "callback",
- jsonpCallback: function() {
- var callback = oldCallbacks.pop() || ( jQuery.expando + "_" + ( nonce.guid++ ) );
- this[ callback ] = true;
- return callback;
- }
-} );
-
-// Detect, normalize options and install callbacks for jsonp requests
-jQuery.ajaxPrefilter( "json jsonp", function( s, originalSettings, jqXHR ) {
-
- var callbackName, overwritten, responseContainer,
- jsonProp = s.jsonp !== false && ( rjsonp.test( s.url ) ?
- "url" :
- typeof s.data === "string" &&
- ( s.contentType || "" )
- .indexOf( "application/x-www-form-urlencoded" ) === 0 &&
- rjsonp.test( s.data ) && "data"
- );
-
- // Handle iff the expected data type is "jsonp" or we have a parameter to set
- if ( jsonProp || s.dataTypes[ 0 ] === "jsonp" ) {
-
- // Get callback name, remembering preexisting value associated with it
- callbackName = s.jsonpCallback = isFunction( s.jsonpCallback ) ?
- s.jsonpCallback() :
- s.jsonpCallback;
-
- // Insert callback into url or form data
- if ( jsonProp ) {
- s[ jsonProp ] = s[ jsonProp ].replace( rjsonp, "$1" + callbackName );
- } else if ( s.jsonp !== false ) {
- s.url += ( rquery.test( s.url ) ? "&" : "?" ) + s.jsonp + "=" + callbackName;
- }
-
- // Use data converter to retrieve json after script execution
- s.converters[ "script json" ] = function() {
- if ( !responseContainer ) {
- jQuery.error( callbackName + " was not called" );
- }
- return responseContainer[ 0 ];
- };
-
- // Force json dataType
- s.dataTypes[ 0 ] = "json";
-
- // Install callback
- overwritten = window[ callbackName ];
- window[ callbackName ] = function() {
- responseContainer = arguments;
- };
-
- // Clean-up function (fires after converters)
- jqXHR.always( function() {
-
- // If previous value didn't exist - remove it
- if ( overwritten === undefined ) {
- jQuery( window ).removeProp( callbackName );
-
- // Otherwise restore preexisting value
- } else {
- window[ callbackName ] = overwritten;
- }
-
- // Save back as free
- if ( s[ callbackName ] ) {
-
- // Make sure that re-using the options doesn't screw things around
- s.jsonpCallback = originalSettings.jsonpCallback;
-
- // Save the callback name for future use
- oldCallbacks.push( callbackName );
- }
-
- // Call if it was a function and we have a response
- if ( responseContainer && isFunction( overwritten ) ) {
- overwritten( responseContainer[ 0 ] );
- }
-
- responseContainer = overwritten = undefined;
- } );
-
- // Delegate to script
- return "script";
- }
-} );
-
-
-
-
-// Support: Safari 8 only
-// In Safari 8 documents created via document.implementation.createHTMLDocument
-// collapse sibling forms: the second one becomes a child of the first one.
-// Because of that, this security measure has to be disabled in Safari 8.
-// https://bugs.webkit.org/show_bug.cgi?id=137337
-support.createHTMLDocument = ( function() {
- var body = document.implementation.createHTMLDocument( "" ).body;
- body.innerHTML = "<form></form><form></form>";
- return body.childNodes.length === 2;
-} )();
-
-
-// Argument "data" should be string of html
-// context (optional): If specified, the fragment will be created in this context,
-// defaults to document
-// keepScripts (optional): If true, will include scripts passed in the html string
-jQuery.parseHTML = function( data, context, keepScripts ) {
- if ( typeof data !== "string" ) {
- return [];
- }
- if ( typeof context === "boolean" ) {
- keepScripts = context;
- context = false;
- }
-
- var base, parsed, scripts;
-
- if ( !context ) {
-
- // Stop scripts or inline event handlers from being executed immediately
- // by using document.implementation
- if ( support.createHTMLDocument ) {
- context = document.implementation.createHTMLDocument( "" );
-
- // Set the base href for the created document
- // so any parsed elements with URLs
- // are based on the document's URL (gh-2965)
- base = context.createElement( "base" );
- base.href = document.location.href;
- context.head.appendChild( base );
- } else {
- context = document;
- }
- }
-
- parsed = rsingleTag.exec( data );
- scripts = !keepScripts && [];
-
- // Single tag
- if ( parsed ) {
- return [ context.createElement( parsed[ 1 ] ) ];
- }
-
- parsed = buildFragment( [ data ], context, scripts );
-
- if ( scripts && scripts.length ) {
- jQuery( scripts ).remove();
- }
-
- return jQuery.merge( [], parsed.childNodes );
-};
-
-
-/**
- * Load a url into a page
- */
-jQuery.fn.load = function( url, params, callback ) {
- var selector, type, response,
- self = this,
- off = url.indexOf( " " );
-
- if ( off > -1 ) {
- selector = stripAndCollapse( url.slice( off ) );
- url = url.slice( 0, off );
- }
-
- // If it's a function
- if ( isFunction( params ) ) {
-
- // We assume that it's the callback
- callback = params;
- params = undefined;
-
- // Otherwise, build a param string
- } else if ( params && typeof params === "object" ) {
- type = "POST";
- }
-
- // If we have elements to modify, make the request
- if ( self.length > 0 ) {
- jQuery.ajax( {
- url: url,
-
- // If "type" variable is undefined, then "GET" method will be used.
- // Make value of this field explicit since
- // user can override it through ajaxSetup method
- type: type || "GET",
- dataType: "html",
- data: params
- } ).done( function( responseText ) {
-
- // Save response for use in complete callback
- response = arguments;
-
- self.html( selector ?
-
- // If a selector was specified, locate the right elements in a dummy div
- // Exclude scripts to avoid IE 'Permission Denied' errors
- jQuery( "<div>" ).append( jQuery.parseHTML( responseText ) ).find( selector ) :
-
- // Otherwise use the full result
- responseText );
-
- // If the request succeeds, this function gets "data", "status", "jqXHR"
- // but they are ignored because response was set above.
- // If it fails, this function gets "jqXHR", "status", "error"
- } ).always( callback && function( jqXHR, status ) {
- self.each( function() {
- callback.apply( this, response || [ jqXHR.responseText, status, jqXHR ] );
- } );
- } );
- }
-
- return this;
-};
-
-
-
-
-jQuery.expr.pseudos.animated = function( elem ) {
- return jQuery.grep( jQuery.timers, function( fn ) {
- return elem === fn.elem;
- } ).length;
-};
-
-
-
-
-jQuery.offset = {
- setOffset: function( elem, options, i ) {
- var curPosition, curLeft, curCSSTop, curTop, curOffset, curCSSLeft, calculatePosition,
- position = jQuery.css( elem, "position" ),
- curElem = jQuery( elem ),
- props = {};
-
- // Set position first, in-case top/left are set even on static elem
- if ( position === "static" ) {
- elem.style.position = "relative";
- }
-
- curOffset = curElem.offset();
- curCSSTop = jQuery.css( elem, "top" );
- curCSSLeft = jQuery.css( elem, "left" );
- calculatePosition = ( position === "absolute" || position === "fixed" ) &&
- ( curCSSTop + curCSSLeft ).indexOf( "auto" ) > -1;
-
- // Need to be able to calculate position if either
- // top or left is auto and position is either absolute or fixed
- if ( calculatePosition ) {
- curPosition = curElem.position();
- curTop = curPosition.top;
- curLeft = curPosition.left;
-
- } else {
- curTop = parseFloat( curCSSTop ) || 0;
- curLeft = parseFloat( curCSSLeft ) || 0;
- }
-
- if ( isFunction( options ) ) {
-
- // Use jQuery.extend here to allow modification of coordinates argument (gh-1848)
- options = options.call( elem, i, jQuery.extend( {}, curOffset ) );
- }
-
- if ( options.top != null ) {
- props.top = ( options.top - curOffset.top ) + curTop;
- }
- if ( options.left != null ) {
- props.left = ( options.left - curOffset.left ) + curLeft;
- }
-
- if ( "using" in options ) {
- options.using.call( elem, props );
-
- } else {
- curElem.css( props );
- }
- }
-};
-
-jQuery.fn.extend( {
-
- // offset() relates an element's border box to the document origin
- offset: function( options ) {
-
- // Preserve chaining for setter
- if ( arguments.length ) {
- return options === undefined ?
- this :
- this.each( function( i ) {
- jQuery.offset.setOffset( this, options, i );
- } );
- }
-
- var rect, win,
- elem = this[ 0 ];
-
- if ( !elem ) {
- return;
- }
-
- // Return zeros for disconnected and hidden (display: none) elements (gh-2310)
- // Support: IE <=11 only
- // Running getBoundingClientRect on a
- // disconnected node in IE throws an error
- if ( !elem.getClientRects().length ) {
- return { top: 0, left: 0 };
- }
-
- // Get document-relative position by adding viewport scroll to viewport-relative gBCR
- rect = elem.getBoundingClientRect();
- win = elem.ownerDocument.defaultView;
- return {
- top: rect.top + win.pageYOffset,
- left: rect.left + win.pageXOffset
- };
- },
-
- // position() relates an element's margin box to its offset parent's padding box
- // This corresponds to the behavior of CSS absolute positioning
- position: function() {
- if ( !this[ 0 ] ) {
- return;
- }
-
- var offsetParent, offset, doc,
- elem = this[ 0 ],
- parentOffset = { top: 0, left: 0 };
-
- // position:fixed elements are offset from the viewport, which itself always has zero offset
- if ( jQuery.css( elem, "position" ) === "fixed" ) {
-
- // Assume position:fixed implies availability of getBoundingClientRect
- offset = elem.getBoundingClientRect();
-
- } else {
- offset = this.offset();
-
- // Account for the *real* offset parent, which can be the document or its root element
- // when a statically positioned element is identified
- doc = elem.ownerDocument;
- offsetParent = elem.offsetParent || doc.documentElement;
- while ( offsetParent &&
- ( offsetParent === doc.body || offsetParent === doc.documentElement ) &&
- jQuery.css( offsetParent, "position" ) === "static" ) {
-
- offsetParent = offsetParent.parentNode;
- }
- if ( offsetParent && offsetParent !== elem && offsetParent.nodeType === 1 ) {
-
- // Incorporate borders into its offset, since they are outside its content origin
- parentOffset = jQuery( offsetParent ).offset();
- parentOffset.top += jQuery.css( offsetParent, "borderTopWidth", true );
- parentOffset.left += jQuery.css( offsetParent, "borderLeftWidth", true );
- }
- }
-
- // Subtract parent offsets and element margins
- return {
- top: offset.top - parentOffset.top - jQuery.css( elem, "marginTop", true ),
- left: offset.left - parentOffset.left - jQuery.css( elem, "marginLeft", true )
- };
- },
-
- // This method will return documentElement in the following cases:
- // 1) For the element inside the iframe without offsetParent, this method will return
- // documentElement of the parent window
- // 2) For the hidden or detached element
- // 3) For body or html element, i.e. in case of the html node - it will return itself
- //
- // but those exceptions were never presented as a real life use-cases
- // and might be considered as more preferable results.
- //
- // This logic, however, is not guaranteed and can change at any point in the future
- offsetParent: function() {
- return this.map( function() {
- var offsetParent = this.offsetParent;
-
- while ( offsetParent && jQuery.css( offsetParent, "position" ) === "static" ) {
- offsetParent = offsetParent.offsetParent;
- }
-
- return offsetParent || documentElement;
- } );
- }
-} );
-
-// Create scrollLeft and scrollTop methods
-jQuery.each( { scrollLeft: "pageXOffset", scrollTop: "pageYOffset" }, function( method, prop ) {
- var top = "pageYOffset" === prop;
-
- jQuery.fn[ method ] = function( val ) {
- return access( this, function( elem, method, val ) {
-
- // Coalesce documents and windows
- var win;
- if ( isWindow( elem ) ) {
- win = elem;
- } else if ( elem.nodeType === 9 ) {
- win = elem.defaultView;
- }
-
- if ( val === undefined ) {
- return win ? win[ prop ] : elem[ method ];
- }
-
- if ( win ) {
- win.scrollTo(
- !top ? val : win.pageXOffset,
- top ? val : win.pageYOffset
- );
-
- } else {
- elem[ method ] = val;
- }
- }, method, val, arguments.length );
- };
-} );
-
-// Support: Safari <=7 - 9.1, Chrome <=37 - 49
-// Add the top/left cssHooks using jQuery.fn.position
-// Webkit bug: https://bugs.webkit.org/show_bug.cgi?id=29084
-// Blink bug: https://bugs.chromium.org/p/chromium/issues/detail?id=589347
-// getComputedStyle returns percent when specified for top/left/bottom/right;
-// rather than make the css module depend on the offset module, just check for it here
-jQuery.each( [ "top", "left" ], function( _i, prop ) {
- jQuery.cssHooks[ prop ] = addGetHookIf( support.pixelPosition,
- function( elem, computed ) {
- if ( computed ) {
- computed = curCSS( elem, prop );
-
- // If curCSS returns percentage, fallback to offset
- return rnumnonpx.test( computed ) ?
- jQuery( elem ).position()[ prop ] + "px" :
- computed;
- }
- }
- );
-} );
-
-
-// Create innerHeight, innerWidth, height, width, outerHeight and outerWidth methods
-jQuery.each( { Height: "height", Width: "width" }, function( name, type ) {
- jQuery.each( {
- padding: "inner" + name,
- content: type,
- "": "outer" + name
- }, function( defaultExtra, funcName ) {
-
- // Margin is only for outerHeight, outerWidth
- jQuery.fn[ funcName ] = function( margin, value ) {
- var chainable = arguments.length && ( defaultExtra || typeof margin !== "boolean" ),
- extra = defaultExtra || ( margin === true || value === true ? "margin" : "border" );
-
- return access( this, function( elem, type, value ) {
- var doc;
-
- if ( isWindow( elem ) ) {
-
- // $( window ).outerWidth/Height return w/h including scrollbars (gh-1729)
- return funcName.indexOf( "outer" ) === 0 ?
- elem[ "inner" + name ] :
- elem.document.documentElement[ "client" + name ];
- }
-
- // Get document width or height
- if ( elem.nodeType === 9 ) {
- doc = elem.documentElement;
-
- // Either scroll[Width/Height] or offset[Width/Height] or client[Width/Height],
- // whichever is greatest
- return Math.max(
- elem.body[ "scroll" + name ], doc[ "scroll" + name ],
- elem.body[ "offset" + name ], doc[ "offset" + name ],
- doc[ "client" + name ]
- );
- }
-
- return value === undefined ?
-
- // Get width or height on the element, requesting but not forcing parseFloat
- jQuery.css( elem, type, extra ) :
-
- // Set width or height on the element
- jQuery.style( elem, type, value, extra );
- }, type, chainable ? margin : undefined, chainable );
- };
- } );
-} );
-
-
-jQuery.each( [
- "ajaxStart",
- "ajaxStop",
- "ajaxComplete",
- "ajaxError",
- "ajaxSuccess",
- "ajaxSend"
-], function( _i, type ) {
- jQuery.fn[ type ] = function( fn ) {
- return this.on( type, fn );
- };
-} );
-
-
-
-
-jQuery.fn.extend( {
-
- bind: function( types, data, fn ) {
- return this.on( types, null, data, fn );
- },
- unbind: function( types, fn ) {
- return this.off( types, null, fn );
- },
-
- delegate: function( selector, types, data, fn ) {
- return this.on( types, selector, data, fn );
- },
- undelegate: function( selector, types, fn ) {
-
- // ( namespace ) or ( selector, types [, fn] )
- return arguments.length === 1 ?
- this.off( selector, "**" ) :
- this.off( types, selector || "**", fn );
- },
-
- hover: function( fnOver, fnOut ) {
- return this.mouseenter( fnOver ).mouseleave( fnOut || fnOver );
- }
-} );
-
-jQuery.each(
- ( "blur focus focusin focusout resize scroll click dblclick " +
- "mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave " +
- "change select submit keydown keypress keyup contextmenu" ).split( " " ),
- function( _i, name ) {
-
- // Handle event binding
- jQuery.fn[ name ] = function( data, fn ) {
- return arguments.length > 0 ?
- this.on( name, null, data, fn ) :
- this.trigger( name );
- };
- }
-);
-
-
-
-
-// Support: Android <=4.0 only
-// Make sure we trim BOM and NBSP
-var rtrim = /^[\s\uFEFF\xA0]+|[\s\uFEFF\xA0]+$/g;
-
-// Bind a function to a context, optionally partially applying any
-// arguments.
-// jQuery.proxy is deprecated to promote standards (specifically Function#bind)
-// However, it is not slated for removal any time soon
-jQuery.proxy = function( fn, context ) {
- var tmp, args, proxy;
-
- if ( typeof context === "string" ) {
- tmp = fn[ context ];
- context = fn;
- fn = tmp;
- }
-
- // Quick check to determine if target is callable, in the spec
- // this throws a TypeError, but we will just return undefined.
- if ( !isFunction( fn ) ) {
- return undefined;
- }
-
- // Simulated bind
- args = slice.call( arguments, 2 );
- proxy = function() {
- return fn.apply( context || this, args.concat( slice.call( arguments ) ) );
- };
-
- // Set the guid of unique handler to the same of original handler, so it can be removed
- proxy.guid = fn.guid = fn.guid || jQuery.guid++;
-
- return proxy;
-};
-
-jQuery.holdReady = function( hold ) {
- if ( hold ) {
- jQuery.readyWait++;
- } else {
- jQuery.ready( true );
- }
-};
-jQuery.isArray = Array.isArray;
-jQuery.parseJSON = JSON.parse;
-jQuery.nodeName = nodeName;
-jQuery.isFunction = isFunction;
-jQuery.isWindow = isWindow;
-jQuery.camelCase = camelCase;
-jQuery.type = toType;
-
-jQuery.now = Date.now;
-
-jQuery.isNumeric = function( obj ) {
-
- // As of jQuery 3.0, isNumeric is limited to
- // strings and numbers (primitives or objects)
- // that can be coerced to finite numbers (gh-2662)
- var type = jQuery.type( obj );
- return ( type === "number" || type === "string" ) &&
-
- // parseFloat NaNs numeric-cast false positives ("")
- // ...but misinterprets leading-number strings, particularly hex literals ("0x...")
- // subtraction forces infinities to NaN
- !isNaN( obj - parseFloat( obj ) );
-};
-
-jQuery.trim = function( text ) {
- return text == null ?
- "" :
- ( text + "" ).replace( rtrim, "" );
-};
-
-
-
-// Register as a named AMD module, since jQuery can be concatenated with other
-// files that may use define, but not via a proper concatenation script that
-// understands anonymous AMD modules. A named AMD is safest and most robust
-// way to register. Lowercase jquery is used because AMD module names are
-// derived from file names, and jQuery is normally delivered in a lowercase
-// file name. Do this after creating the global so that if an AMD module wants
-// to call noConflict to hide this version of jQuery, it will work.
-
-// Note that for maximum portability, libraries that are not jQuery should
-// declare themselves as anonymous modules, and avoid setting a global if an
-// AMD loader is present. jQuery is a special case. For more information, see
-// https://github.com/jrburke/requirejs/wiki/Updating-existing-libraries#wiki-anon
-
-if ( typeof define === "function" && define.amd ) {
- define( "jquery", [], function() {
- return jQuery;
- } );
-}
-
-
-
-
-var
-
- // Map over jQuery in case of overwrite
- _jQuery = window.jQuery,
-
- // Map over the $ in case of overwrite
- _$ = window.$;
-
-jQuery.noConflict = function( deep ) {
- if ( window.$ === jQuery ) {
- window.$ = _$;
- }
-
- if ( deep && window.jQuery === jQuery ) {
- window.jQuery = _jQuery;
- }
-
- return jQuery;
-};
-
-// Expose jQuery and $ identifiers, even in AMD
-// (#7102#comment:10, https://github.com/jquery/jquery/pull/557)
-// and CommonJS for browser emulators (#13566)
-if ( typeof noGlobal === "undefined" ) {
- window.jQuery = window.$ = jQuery;
-}
-
-
-
-
-return jQuery;
-} );
diff --git a/docs/_build/html/_static/underscore-1.13.1.js b/docs/_build/html/_static/underscore-1.13.1.js
deleted file mode 100644
index ffd77af9648a47d389f2d6976d4aa1c44d7ce7ce..0000000000000000000000000000000000000000
--- a/docs/_build/html/_static/underscore-1.13.1.js
+++ /dev/null
@@ -1,2042 +0,0 @@
-(function (global, factory) {
- typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
- typeof define === 'function' && define.amd ? define('underscore', factory) :
- (global = typeof globalThis !== 'undefined' ? globalThis : global || self, (function () {
- var current = global._;
- var exports = global._ = factory();
- exports.noConflict = function () { global._ = current; return exports; };
- }()));
-}(this, (function () {
- // Underscore.js 1.13.1
- // https://underscorejs.org
- // (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
- // Underscore may be freely distributed under the MIT license.
-
- // Current version.
- var VERSION = '1.13.1';
-
- // Establish the root object, `window` (`self`) in the browser, `global`
- // on the server, or `this` in some virtual machines. We use `self`
- // instead of `window` for `WebWorker` support.
- var root = typeof self == 'object' && self.self === self && self ||
- typeof global == 'object' && global.global === global && global ||
- Function('return this')() ||
- {};
-
- // Save bytes in the minified (but not gzipped) version:
- var ArrayProto = Array.prototype, ObjProto = Object.prototype;
- var SymbolProto = typeof Symbol !== 'undefined' ? Symbol.prototype : null;
-
- // Create quick reference variables for speed access to core prototypes.
- var push = ArrayProto.push,
- slice = ArrayProto.slice,
- toString = ObjProto.toString,
- hasOwnProperty = ObjProto.hasOwnProperty;
-
- // Modern feature detection.
- var supportsArrayBuffer = typeof ArrayBuffer !== 'undefined',
- supportsDataView = typeof DataView !== 'undefined';
-
- // All **ECMAScript 5+** native function implementations that we hope to use
- // are declared here.
- var nativeIsArray = Array.isArray,
- nativeKeys = Object.keys,
- nativeCreate = Object.create,
- nativeIsView = supportsArrayBuffer && ArrayBuffer.isView;
-
- // Create references to these builtin functions because we override them.
- var _isNaN = isNaN,
- _isFinite = isFinite;
-
- // Keys in IE < 9 that won't be iterated by `for key in ...` and thus missed.
- var hasEnumBug = !{toString: null}.propertyIsEnumerable('toString');
- var nonEnumerableProps = ['valueOf', 'isPrototypeOf', 'toString',
- 'propertyIsEnumerable', 'hasOwnProperty', 'toLocaleString'];
-
- // The largest integer that can be represented exactly.
- var MAX_ARRAY_INDEX = Math.pow(2, 53) - 1;
-
- // Some functions take a variable number of arguments, or a few expected
- // arguments at the beginning and then a variable number of values to operate
- // on. This helper accumulates all remaining arguments past the function’s
- // argument length (or an explicit `startIndex`), into an array that becomes
- // the last argument. Similar to ES6’s "rest parameter".
- function restArguments(func, startIndex) {
- startIndex = startIndex == null ? func.length - 1 : +startIndex;
- return function() {
- var length = Math.max(arguments.length - startIndex, 0),
- rest = Array(length),
- index = 0;
- for (; index < length; index++) {
- rest[index] = arguments[index + startIndex];
- }
- switch (startIndex) {
- case 0: return func.call(this, rest);
- case 1: return func.call(this, arguments[0], rest);
- case 2: return func.call(this, arguments[0], arguments[1], rest);
- }
- var args = Array(startIndex + 1);
- for (index = 0; index < startIndex; index++) {
- args[index] = arguments[index];
- }
- args[startIndex] = rest;
- return func.apply(this, args);
- };
- }
-
- // Is a given variable an object?
- function isObject(obj) {
- var type = typeof obj;
- return type === 'function' || type === 'object' && !!obj;
- }
-
- // Is a given value equal to null?
- function isNull(obj) {
- return obj === null;
- }
-
- // Is a given variable undefined?
- function isUndefined(obj) {
- return obj === void 0;
- }
-
- // Is a given value a boolean?
- function isBoolean(obj) {
- return obj === true || obj === false || toString.call(obj) === '[object Boolean]';
- }
-
- // Is a given value a DOM element?
- function isElement(obj) {
- return !!(obj && obj.nodeType === 1);
- }
-
- // Internal function for creating a `toString`-based type tester.
- function tagTester(name) {
- var tag = '[object ' + name + ']';
- return function(obj) {
- return toString.call(obj) === tag;
- };
- }
-
- var isString = tagTester('String');
-
- var isNumber = tagTester('Number');
-
- var isDate = tagTester('Date');
-
- var isRegExp = tagTester('RegExp');
-
- var isError = tagTester('Error');
-
- var isSymbol = tagTester('Symbol');
-
- var isArrayBuffer = tagTester('ArrayBuffer');
-
- var isFunction = tagTester('Function');
-
- // Optimize `isFunction` if appropriate. Work around some `typeof` bugs in old
- // v8, IE 11 (#1621), Safari 8 (#1929), and PhantomJS (#2236).
- var nodelist = root.document && root.document.childNodes;
- if (typeof /./ != 'function' && typeof Int8Array != 'object' && typeof nodelist != 'function') {
- isFunction = function(obj) {
- return typeof obj == 'function' || false;
- };
- }
-
- var isFunction$1 = isFunction;
-
- var hasObjectTag = tagTester('Object');
-
- // In IE 10 - Edge 13, `DataView` has string tag `'[object Object]'`.
- // In IE 11, the most common among them, this problem also applies to
- // `Map`, `WeakMap` and `Set`.
- var hasStringTagBug = (
- supportsDataView && hasObjectTag(new DataView(new ArrayBuffer(8)))
- ),
- isIE11 = (typeof Map !== 'undefined' && hasObjectTag(new Map));
-
- var isDataView = tagTester('DataView');
-
- // In IE 10 - Edge 13, we need a different heuristic
- // to determine whether an object is a `DataView`.
- function ie10IsDataView(obj) {
- return obj != null && isFunction$1(obj.getInt8) && isArrayBuffer(obj.buffer);
- }
-
- var isDataView$1 = (hasStringTagBug ? ie10IsDataView : isDataView);
-
- // Is a given value an array?
- // Delegates to ECMA5's native `Array.isArray`.
- var isArray = nativeIsArray || tagTester('Array');
-
- // Internal function to check whether `key` is an own property name of `obj`.
- function has$1(obj, key) {
- return obj != null && hasOwnProperty.call(obj, key);
- }
-
- var isArguments = tagTester('Arguments');
-
- // Define a fallback version of the method in browsers (ahem, IE < 9), where
- // there isn't any inspectable "Arguments" type.
- (function() {
- if (!isArguments(arguments)) {
- isArguments = function(obj) {
- return has$1(obj, 'callee');
- };
- }
- }());
-
- var isArguments$1 = isArguments;
-
- // Is a given object a finite number?
- function isFinite$1(obj) {
- return !isSymbol(obj) && _isFinite(obj) && !isNaN(parseFloat(obj));
- }
-
- // Is the given value `NaN`?
- function isNaN$1(obj) {
- return isNumber(obj) && _isNaN(obj);
- }
-
- // Predicate-generating function. Often useful outside of Underscore.
- function constant(value) {
- return function() {
- return value;
- };
- }
-
- // Common internal logic for `isArrayLike` and `isBufferLike`.
- function createSizePropertyCheck(getSizeProperty) {
- return function(collection) {
- var sizeProperty = getSizeProperty(collection);
- return typeof sizeProperty == 'number' && sizeProperty >= 0 && sizeProperty <= MAX_ARRAY_INDEX;
- }
- }
-
- // Internal helper to generate a function to obtain property `key` from `obj`.
- function shallowProperty(key) {
- return function(obj) {
- return obj == null ? void 0 : obj[key];
- };
- }
-
- // Internal helper to obtain the `byteLength` property of an object.
- var getByteLength = shallowProperty('byteLength');
-
- // Internal helper to determine whether we should spend extensive checks against
- // `ArrayBuffer` et al.
- var isBufferLike = createSizePropertyCheck(getByteLength);
-
- // Is a given value a typed array?
- var typedArrayPattern = /\[object ((I|Ui)nt(8|16|32)|Float(32|64)|Uint8Clamped|Big(I|Ui)nt64)Array\]/;
- function isTypedArray(obj) {
- // `ArrayBuffer.isView` is the most future-proof, so use it when available.
- // Otherwise, fall back on the above regular expression.
- return nativeIsView ? (nativeIsView(obj) && !isDataView$1(obj)) :
- isBufferLike(obj) && typedArrayPattern.test(toString.call(obj));
- }
-
- var isTypedArray$1 = supportsArrayBuffer ? isTypedArray : constant(false);
-
- // Internal helper to obtain the `length` property of an object.
- var getLength = shallowProperty('length');
-
- // Internal helper to create a simple lookup structure.
- // `collectNonEnumProps` used to depend on `_.contains`, but this led to
- // circular imports. `emulatedSet` is a one-off solution that only works for
- // arrays of strings.
- function emulatedSet(keys) {
- var hash = {};
- for (var l = keys.length, i = 0; i < l; ++i) hash[keys[i]] = true;
- return {
- contains: function(key) { return hash[key]; },
- push: function(key) {
- hash[key] = true;
- return keys.push(key);
- }
- };
- }
-
- // Internal helper. Checks `keys` for the presence of keys in IE < 9 that won't
- // be iterated by `for key in ...` and thus missed. Extends `keys` in place if
- // needed.
- function collectNonEnumProps(obj, keys) {
- keys = emulatedSet(keys);
- var nonEnumIdx = nonEnumerableProps.length;
- var constructor = obj.constructor;
- var proto = isFunction$1(constructor) && constructor.prototype || ObjProto;
-
- // Constructor is a special case.
- var prop = 'constructor';
- if (has$1(obj, prop) && !keys.contains(prop)) keys.push(prop);
-
- while (nonEnumIdx--) {
- prop = nonEnumerableProps[nonEnumIdx];
- if (prop in obj && obj[prop] !== proto[prop] && !keys.contains(prop)) {
- keys.push(prop);
- }
- }
- }
-
- // Retrieve the names of an object's own properties.
- // Delegates to **ECMAScript 5**'s native `Object.keys`.
- function keys(obj) {
- if (!isObject(obj)) return [];
- if (nativeKeys) return nativeKeys(obj);
- var keys = [];
- for (var key in obj) if (has$1(obj, key)) keys.push(key);
- // Ahem, IE < 9.
- if (hasEnumBug) collectNonEnumProps(obj, keys);
- return keys;
- }
-
- // Is a given array, string, or object empty?
- // An "empty" object has no enumerable own-properties.
- function isEmpty(obj) {
- if (obj == null) return true;
- // Skip the more expensive `toString`-based type checks if `obj` has no
- // `.length`.
- var length = getLength(obj);
- if (typeof length == 'number' && (
- isArray(obj) || isString(obj) || isArguments$1(obj)
- )) return length === 0;
- return getLength(keys(obj)) === 0;
- }
-
- // Returns whether an object has a given set of `key:value` pairs.
- function isMatch(object, attrs) {
- var _keys = keys(attrs), length = _keys.length;
- if (object == null) return !length;
- var obj = Object(object);
- for (var i = 0; i < length; i++) {
- var key = _keys[i];
- if (attrs[key] !== obj[key] || !(key in obj)) return false;
- }
- return true;
- }
-
- // If Underscore is called as a function, it returns a wrapped object that can
- // be used OO-style. This wrapper holds altered versions of all functions added
- // through `_.mixin`. Wrapped objects may be chained.
- function _$1(obj) {
- if (obj instanceof _$1) return obj;
- if (!(this instanceof _$1)) return new _$1(obj);
- this._wrapped = obj;
- }
-
- _$1.VERSION = VERSION;
-
- // Extracts the result from a wrapped and chained object.
- _$1.prototype.value = function() {
- return this._wrapped;
- };
-
- // Provide unwrapping proxies for some methods used in engine operations
- // such as arithmetic and JSON stringification.
- _$1.prototype.valueOf = _$1.prototype.toJSON = _$1.prototype.value;
-
- _$1.prototype.toString = function() {
- return String(this._wrapped);
- };
-
- // Internal function to wrap or shallow-copy an ArrayBuffer,
- // typed array or DataView to a new view, reusing the buffer.
- function toBufferView(bufferSource) {
- return new Uint8Array(
- bufferSource.buffer || bufferSource,
- bufferSource.byteOffset || 0,
- getByteLength(bufferSource)
- );
- }
-
- // We use this string twice, so give it a name for minification.
- var tagDataView = '[object DataView]';
-
- // Internal recursive comparison function for `_.isEqual`.
- function eq(a, b, aStack, bStack) {
- // Identical objects are equal. `0 === -0`, but they aren't identical.
- // See the [Harmony `egal` proposal](https://wiki.ecmascript.org/doku.php?id=harmony:egal).
- if (a === b) return a !== 0 || 1 / a === 1 / b;
- // `null` or `undefined` only equal to itself (strict comparison).
- if (a == null || b == null) return false;
- // `NaN`s are equivalent, but non-reflexive.
- if (a !== a) return b !== b;
- // Exhaust primitive checks
- var type = typeof a;
- if (type !== 'function' && type !== 'object' && typeof b != 'object') return false;
- return deepEq(a, b, aStack, bStack);
- }
-
- // Internal recursive comparison function for `_.isEqual`.
- function deepEq(a, b, aStack, bStack) {
- // Unwrap any wrapped objects.
- if (a instanceof _$1) a = a._wrapped;
- if (b instanceof _$1) b = b._wrapped;
- // Compare `[[Class]]` names.
- var className = toString.call(a);
- if (className !== toString.call(b)) return false;
- // Work around a bug in IE 10 - Edge 13.
- if (hasStringTagBug && className == '[object Object]' && isDataView$1(a)) {
- if (!isDataView$1(b)) return false;
- className = tagDataView;
- }
- switch (className) {
- // These types are compared by value.
- case '[object RegExp]':
- // RegExps are coerced to strings for comparison (Note: '' + /a/i === '/a/i')
- case '[object String]':
- // Primitives and their corresponding object wrappers are equivalent; thus, `"5"` is
- // equivalent to `new String("5")`.
- return '' + a === '' + b;
- case '[object Number]':
- // `NaN`s are equivalent, but non-reflexive.
- // Object(NaN) is equivalent to NaN.
- if (+a !== +a) return +b !== +b;
- // An `egal` comparison is performed for other numeric values.
- return +a === 0 ? 1 / +a === 1 / b : +a === +b;
- case '[object Date]':
- case '[object Boolean]':
- // Coerce dates and booleans to numeric primitive values. Dates are compared by their
- // millisecond representations. Note that invalid dates with millisecond representations
- // of `NaN` are not equivalent.
- return +a === +b;
- case '[object Symbol]':
- return SymbolProto.valueOf.call(a) === SymbolProto.valueOf.call(b);
- case '[object ArrayBuffer]':
- case tagDataView:
- // Coerce to typed array so we can fall through.
- return deepEq(toBufferView(a), toBufferView(b), aStack, bStack);
- }
-
- var areArrays = className === '[object Array]';
- if (!areArrays && isTypedArray$1(a)) {
- var byteLength = getByteLength(a);
- if (byteLength !== getByteLength(b)) return false;
- if (a.buffer === b.buffer && a.byteOffset === b.byteOffset) return true;
- areArrays = true;
- }
- if (!areArrays) {
- if (typeof a != 'object' || typeof b != 'object') return false;
-
- // Objects with different constructors are not equivalent, but `Object`s or `Array`s
- // from different frames are.
- var aCtor = a.constructor, bCtor = b.constructor;
- if (aCtor !== bCtor && !(isFunction$1(aCtor) && aCtor instanceof aCtor &&
- isFunction$1(bCtor) && bCtor instanceof bCtor)
- && ('constructor' in a && 'constructor' in b)) {
- return false;
- }
- }
- // Assume equality for cyclic structures. The algorithm for detecting cyclic
- // structures is adapted from ES 5.1 section 15.12.3, abstract operation `JO`.
-
- // Initializing stack of traversed objects.
- // It's done here since we only need them for objects and arrays comparison.
- aStack = aStack || [];
- bStack = bStack || [];
- var length = aStack.length;
- while (length--) {
- // Linear search. Performance is inversely proportional to the number of
- // unique nested structures.
- if (aStack[length] === a) return bStack[length] === b;
- }
-
- // Add the first object to the stack of traversed objects.
- aStack.push(a);
- bStack.push(b);
-
- // Recursively compare objects and arrays.
- if (areArrays) {
- // Compare array lengths to determine if a deep comparison is necessary.
- length = a.length;
- if (length !== b.length) return false;
- // Deep compare the contents, ignoring non-numeric properties.
- while (length--) {
- if (!eq(a[length], b[length], aStack, bStack)) return false;
- }
- } else {
- // Deep compare objects.
- var _keys = keys(a), key;
- length = _keys.length;
- // Ensure that both objects contain the same number of properties before comparing deep equality.
- if (keys(b).length !== length) return false;
- while (length--) {
- // Deep compare each member
- key = _keys[length];
- if (!(has$1(b, key) && eq(a[key], b[key], aStack, bStack))) return false;
- }
- }
- // Remove the first object from the stack of traversed objects.
- aStack.pop();
- bStack.pop();
- return true;
- }
-
- // Perform a deep comparison to check if two objects are equal.
- function isEqual(a, b) {
- return eq(a, b);
- }
-
- // Retrieve all the enumerable property names of an object.
- function allKeys(obj) {
- if (!isObject(obj)) return [];
- var keys = [];
- for (var key in obj) keys.push(key);
- // Ahem, IE < 9.
- if (hasEnumBug) collectNonEnumProps(obj, keys);
- return keys;
- }
-
- // Since the regular `Object.prototype.toString` type tests don't work for
- // some types in IE 11, we use a fingerprinting heuristic instead, based
- // on the methods. It's not great, but it's the best we got.
- // The fingerprint method lists are defined below.
- function ie11fingerprint(methods) {
- var length = getLength(methods);
- return function(obj) {
- if (obj == null) return false;
- // `Map`, `WeakMap` and `Set` have no enumerable keys.
- var keys = allKeys(obj);
- if (getLength(keys)) return false;
- for (var i = 0; i < length; i++) {
- if (!isFunction$1(obj[methods[i]])) return false;
- }
- // If we are testing against `WeakMap`, we need to ensure that
- // `obj` doesn't have a `forEach` method in order to distinguish
- // it from a regular `Map`.
- return methods !== weakMapMethods || !isFunction$1(obj[forEachName]);
- };
- }
-
- // In the interest of compact minification, we write
- // each string in the fingerprints only once.
- var forEachName = 'forEach',
- hasName = 'has',
- commonInit = ['clear', 'delete'],
- mapTail = ['get', hasName, 'set'];
-
- // `Map`, `WeakMap` and `Set` each have slightly different
- // combinations of the above sublists.
- var mapMethods = commonInit.concat(forEachName, mapTail),
- weakMapMethods = commonInit.concat(mapTail),
- setMethods = ['add'].concat(commonInit, forEachName, hasName);
-
- var isMap = isIE11 ? ie11fingerprint(mapMethods) : tagTester('Map');
-
- var isWeakMap = isIE11 ? ie11fingerprint(weakMapMethods) : tagTester('WeakMap');
-
- var isSet = isIE11 ? ie11fingerprint(setMethods) : tagTester('Set');
-
- var isWeakSet = tagTester('WeakSet');
-
- // Retrieve the values of an object's properties.
- function values(obj) {
- var _keys = keys(obj);
- var length = _keys.length;
- var values = Array(length);
- for (var i = 0; i < length; i++) {
- values[i] = obj[_keys[i]];
- }
- return values;
- }
-
- // Convert an object into a list of `[key, value]` pairs.
- // The opposite of `_.object` with one argument.
- function pairs(obj) {
- var _keys = keys(obj);
- var length = _keys.length;
- var pairs = Array(length);
- for (var i = 0; i < length; i++) {
- pairs[i] = [_keys[i], obj[_keys[i]]];
- }
- return pairs;
- }
-
- // Invert the keys and values of an object. The values must be serializable.
- function invert(obj) {
- var result = {};
- var _keys = keys(obj);
- for (var i = 0, length = _keys.length; i < length; i++) {
- result[obj[_keys[i]]] = _keys[i];
- }
- return result;
- }
-
- // Return a sorted list of the function names available on the object.
- function functions(obj) {
- var names = [];
- for (var key in obj) {
- if (isFunction$1(obj[key])) names.push(key);
- }
- return names.sort();
- }
-
- // An internal function for creating assigner functions.
- function createAssigner(keysFunc, defaults) {
- return function(obj) {
- var length = arguments.length;
- if (defaults) obj = Object(obj);
- if (length < 2 || obj == null) return obj;
- for (var index = 1; index < length; index++) {
- var source = arguments[index],
- keys = keysFunc(source),
- l = keys.length;
- for (var i = 0; i < l; i++) {
- var key = keys[i];
- if (!defaults || obj[key] === void 0) obj[key] = source[key];
- }
- }
- return obj;
- };
- }
-
- // Extend a given object with all the properties in passed-in object(s).
- var extend = createAssigner(allKeys);
-
- // Assigns a given object with all the own properties in the passed-in
- // object(s).
- // (https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Object/assign)
- var extendOwn = createAssigner(keys);
-
- // Fill in a given object with default properties.
- var defaults = createAssigner(allKeys, true);
-
- // Create a naked function reference for surrogate-prototype-swapping.
- function ctor() {
- return function(){};
- }
-
- // An internal function for creating a new object that inherits from another.
- function baseCreate(prototype) {
- if (!isObject(prototype)) return {};
- if (nativeCreate) return nativeCreate(prototype);
- var Ctor = ctor();
- Ctor.prototype = prototype;
- var result = new Ctor;
- Ctor.prototype = null;
- return result;
- }
-
- // Creates an object that inherits from the given prototype object.
- // If additional properties are provided then they will be added to the
- // created object.
- function create(prototype, props) {
- var result = baseCreate(prototype);
- if (props) extendOwn(result, props);
- return result;
- }
-
- // Create a (shallow-cloned) duplicate of an object.
- function clone(obj) {
- if (!isObject(obj)) return obj;
- return isArray(obj) ? obj.slice() : extend({}, obj);
- }
-
- // Invokes `interceptor` with the `obj` and then returns `obj`.
- // The primary purpose of this method is to "tap into" a method chain, in
- // order to perform operations on intermediate results within the chain.
- function tap(obj, interceptor) {
- interceptor(obj);
- return obj;
- }
-
- // Normalize a (deep) property `path` to array.
- // Like `_.iteratee`, this function can be customized.
- function toPath$1(path) {
- return isArray(path) ? path : [path];
- }
- _$1.toPath = toPath$1;
-
- // Internal wrapper for `_.toPath` to enable minification.
- // Similar to `cb` for `_.iteratee`.
- function toPath(path) {
- return _$1.toPath(path);
- }
-
- // Internal function to obtain a nested property in `obj` along `path`.
- function deepGet(obj, path) {
- var length = path.length;
- for (var i = 0; i < length; i++) {
- if (obj == null) return void 0;
- obj = obj[path[i]];
- }
- return length ? obj : void 0;
- }
-
- // Get the value of the (deep) property on `path` from `object`.
- // If any property in `path` does not exist or if the value is
- // `undefined`, return `defaultValue` instead.
- // The `path` is normalized through `_.toPath`.
- function get(object, path, defaultValue) {
- var value = deepGet(object, toPath(path));
- return isUndefined(value) ? defaultValue : value;
- }
-
- // Shortcut function for checking if an object has a given property directly on
- // itself (in other words, not on a prototype). Unlike the internal `has`
- // function, this public version can also traverse nested properties.
- function has(obj, path) {
- path = toPath(path);
- var length = path.length;
- for (var i = 0; i < length; i++) {
- var key = path[i];
- if (!has$1(obj, key)) return false;
- obj = obj[key];
- }
- return !!length;
- }
-
- // Keep the identity function around for default iteratees.
- function identity(value) {
- return value;
- }
-
- // Returns a predicate for checking whether an object has a given set of
- // `key:value` pairs.
- function matcher(attrs) {
- attrs = extendOwn({}, attrs);
- return function(obj) {
- return isMatch(obj, attrs);
- };
- }
-
- // Creates a function that, when passed an object, will traverse that object’s
- // properties down the given `path`, specified as an array of keys or indices.
- function property(path) {
- path = toPath(path);
- return function(obj) {
- return deepGet(obj, path);
- };
- }
-
- // Internal function that returns an efficient (for current engines) version
- // of the passed-in callback, to be repeatedly applied in other Underscore
- // functions.
- function optimizeCb(func, context, argCount) {
- if (context === void 0) return func;
- switch (argCount == null ? 3 : argCount) {
- case 1: return function(value) {
- return func.call(context, value);
- };
- // The 2-argument case is omitted because we’re not using it.
- case 3: return function(value, index, collection) {
- return func.call(context, value, index, collection);
- };
- case 4: return function(accumulator, value, index, collection) {
- return func.call(context, accumulator, value, index, collection);
- };
- }
- return function() {
- return func.apply(context, arguments);
- };
- }
-
- // An internal function to generate callbacks that can be applied to each
- // element in a collection, returning the desired result — either `_.identity`,
- // an arbitrary callback, a property matcher, or a property accessor.
- function baseIteratee(value, context, argCount) {
- if (value == null) return identity;
- if (isFunction$1(value)) return optimizeCb(value, context, argCount);
- if (isObject(value) && !isArray(value)) return matcher(value);
- return property(value);
- }
-
- // External wrapper for our callback generator. Users may customize
- // `_.iteratee` if they want additional predicate/iteratee shorthand styles.
- // This abstraction hides the internal-only `argCount` argument.
- function iteratee(value, context) {
- return baseIteratee(value, context, Infinity);
- }
- _$1.iteratee = iteratee;
-
- // The function we call internally to generate a callback. It invokes
- // `_.iteratee` if overridden, otherwise `baseIteratee`.
- function cb(value, context, argCount) {
- if (_$1.iteratee !== iteratee) return _$1.iteratee(value, context);
- return baseIteratee(value, context, argCount);
- }
-
- // Returns the results of applying the `iteratee` to each element of `obj`.
- // In contrast to `_.map` it returns an object.
- function mapObject(obj, iteratee, context) {
- iteratee = cb(iteratee, context);
- var _keys = keys(obj),
- length = _keys.length,
- results = {};
- for (var index = 0; index < length; index++) {
- var currentKey = _keys[index];
- results[currentKey] = iteratee(obj[currentKey], currentKey, obj);
- }
- return results;
- }
-
- // Predicate-generating function. Often useful outside of Underscore.
- function noop(){}
-
- // Generates a function for a given object that returns a given property.
- function propertyOf(obj) {
- if (obj == null) return noop;
- return function(path) {
- return get(obj, path);
- };
- }
-
- // Run a function **n** times.
- function times(n, iteratee, context) {
- var accum = Array(Math.max(0, n));
- iteratee = optimizeCb(iteratee, context, 1);
- for (var i = 0; i < n; i++) accum[i] = iteratee(i);
- return accum;
- }
-
- // Return a random integer between `min` and `max` (inclusive).
- function random(min, max) {
- if (max == null) {
- max = min;
- min = 0;
- }
- return min + Math.floor(Math.random() * (max - min + 1));
- }
-
- // A (possibly faster) way to get the current timestamp as an integer.
- var now = Date.now || function() {
- return new Date().getTime();
- };
-
- // Internal helper to generate functions for escaping and unescaping strings
- // to/from HTML interpolation.
- function createEscaper(map) {
- var escaper = function(match) {
- return map[match];
- };
- // Regexes for identifying a key that needs to be escaped.
- var source = '(?:' + keys(map).join('|') + ')';
- var testRegexp = RegExp(source);
- var replaceRegexp = RegExp(source, 'g');
- return function(string) {
- string = string == null ? '' : '' + string;
- return testRegexp.test(string) ? string.replace(replaceRegexp, escaper) : string;
- };
- }
-
- // Internal list of HTML entities for escaping.
- var escapeMap = {
- '&': '&',
- '<': '<',
- '>': '>',
- '"': '"',
- "'": ''',
- '`': '`'
- };
-
- // Function for escaping strings to HTML interpolation.
- var _escape = createEscaper(escapeMap);
-
- // Internal list of HTML entities for unescaping.
- var unescapeMap = invert(escapeMap);
-
- // Function for unescaping strings from HTML interpolation.
- var _unescape = createEscaper(unescapeMap);
-
- // By default, Underscore uses ERB-style template delimiters. Change the
- // following template settings to use alternative delimiters.
- var templateSettings = _$1.templateSettings = {
- evaluate: /<%([\s\S]+?)%>/g,
- interpolate: /<%=([\s\S]+?)%>/g,
- escape: /<%-([\s\S]+?)%>/g
- };
-
- // When customizing `_.templateSettings`, if you don't want to define an
- // interpolation, evaluation or escaping regex, we need one that is
- // guaranteed not to match.
- var noMatch = /(.)^/;
-
- // Certain characters need to be escaped so that they can be put into a
- // string literal.
- var escapes = {
- "'": "'",
- '\\': '\\',
- '\r': 'r',
- '\n': 'n',
- '\u2028': 'u2028',
- '\u2029': 'u2029'
- };
-
- var escapeRegExp = /\\|'|\r|\n|\u2028|\u2029/g;
-
- function escapeChar(match) {
- return '\\' + escapes[match];
- }
-
- // In order to prevent third-party code injection through
- // `_.templateSettings.variable`, we test it against the following regular
- // expression. It is intentionally a bit more liberal than just matching valid
- // identifiers, but still prevents possible loopholes through defaults or
- // destructuring assignment.
- var bareIdentifier = /^\s*(\w|\$)+\s*$/;
-
- // JavaScript micro-templating, similar to John Resig's implementation.
- // Underscore templating handles arbitrary delimiters, preserves whitespace,
- // and correctly escapes quotes within interpolated code.
- // NB: `oldSettings` only exists for backwards compatibility.
- function template(text, settings, oldSettings) {
- if (!settings && oldSettings) settings = oldSettings;
- settings = defaults({}, settings, _$1.templateSettings);
-
- // Combine delimiters into one regular expression via alternation.
- var matcher = RegExp([
- (settings.escape || noMatch).source,
- (settings.interpolate || noMatch).source,
- (settings.evaluate || noMatch).source
- ].join('|') + '|$', 'g');
-
- // Compile the template source, escaping string literals appropriately.
- var index = 0;
- var source = "__p+='";
- text.replace(matcher, function(match, escape, interpolate, evaluate, offset) {
- source += text.slice(index, offset).replace(escapeRegExp, escapeChar);
- index = offset + match.length;
-
- if (escape) {
- source += "'+\n((__t=(" + escape + "))==null?'':_.escape(__t))+\n'";
- } else if (interpolate) {
- source += "'+\n((__t=(" + interpolate + "))==null?'':__t)+\n'";
- } else if (evaluate) {
- source += "';\n" + evaluate + "\n__p+='";
- }
-
- // Adobe VMs need the match returned to produce the correct offset.
- return match;
- });
- source += "';\n";
-
- var argument = settings.variable;
- if (argument) {
- // Insure against third-party code injection. (CVE-2021-23358)
- if (!bareIdentifier.test(argument)) throw new Error(
- 'variable is not a bare identifier: ' + argument
- );
- } else {
- // If a variable is not specified, place data values in local scope.
- source = 'with(obj||{}){\n' + source + '}\n';
- argument = 'obj';
- }
-
- source = "var __t,__p='',__j=Array.prototype.join," +
- "print=function(){__p+=__j.call(arguments,'');};\n" +
- source + 'return __p;\n';
-
- var render;
- try {
- render = new Function(argument, '_', source);
- } catch (e) {
- e.source = source;
- throw e;
- }
-
- var template = function(data) {
- return render.call(this, data, _$1);
- };
-
- // Provide the compiled source as a convenience for precompilation.
- template.source = 'function(' + argument + '){\n' + source + '}';
-
- return template;
- }
-
- // Traverses the children of `obj` along `path`. If a child is a function, it
- // is invoked with its parent as context. Returns the value of the final
- // child, or `fallback` if any child is undefined.
- function result(obj, path, fallback) {
- path = toPath(path);
- var length = path.length;
- if (!length) {
- return isFunction$1(fallback) ? fallback.call(obj) : fallback;
- }
- for (var i = 0; i < length; i++) {
- var prop = obj == null ? void 0 : obj[path[i]];
- if (prop === void 0) {
- prop = fallback;
- i = length; // Ensure we don't continue iterating.
- }
- obj = isFunction$1(prop) ? prop.call(obj) : prop;
- }
- return obj;
- }
-
- // Generate a unique integer id (unique within the entire client session).
- // Useful for temporary DOM ids.
- var idCounter = 0;
- function uniqueId(prefix) {
- var id = ++idCounter + '';
- return prefix ? prefix + id : id;
- }
-
- // Start chaining a wrapped Underscore object.
- function chain(obj) {
- var instance = _$1(obj);
- instance._chain = true;
- return instance;
- }
-
- // Internal function to execute `sourceFunc` bound to `context` with optional
- // `args`. Determines whether to execute a function as a constructor or as a
- // normal function.
- function executeBound(sourceFunc, boundFunc, context, callingContext, args) {
- if (!(callingContext instanceof boundFunc)) return sourceFunc.apply(context, args);
- var self = baseCreate(sourceFunc.prototype);
- var result = sourceFunc.apply(self, args);
- if (isObject(result)) return result;
- return self;
- }
-
- // Partially apply a function by creating a version that has had some of its
- // arguments pre-filled, without changing its dynamic `this` context. `_` acts
- // as a placeholder by default, allowing any combination of arguments to be
- // pre-filled. Set `_.partial.placeholder` for a custom placeholder argument.
- var partial = restArguments(function(func, boundArgs) {
- var placeholder = partial.placeholder;
- var bound = function() {
- var position = 0, length = boundArgs.length;
- var args = Array(length);
- for (var i = 0; i < length; i++) {
- args[i] = boundArgs[i] === placeholder ? arguments[position++] : boundArgs[i];
- }
- while (position < arguments.length) args.push(arguments[position++]);
- return executeBound(func, bound, this, this, args);
- };
- return bound;
- });
-
- partial.placeholder = _$1;
-
- // Create a function bound to a given object (assigning `this`, and arguments,
- // optionally).
- var bind = restArguments(function(func, context, args) {
- if (!isFunction$1(func)) throw new TypeError('Bind must be called on a function');
- var bound = restArguments(function(callArgs) {
- return executeBound(func, bound, context, this, args.concat(callArgs));
- });
- return bound;
- });
-
- // Internal helper for collection methods to determine whether a collection
- // should be iterated as an array or as an object.
- // Related: https://people.mozilla.org/~jorendorff/es6-draft.html#sec-tolength
- // Avoids a very nasty iOS 8 JIT bug on ARM-64. #2094
- var isArrayLike = createSizePropertyCheck(getLength);
-
- // Internal implementation of a recursive `flatten` function.
- function flatten$1(input, depth, strict, output) {
- output = output || [];
- if (!depth && depth !== 0) {
- depth = Infinity;
- } else if (depth <= 0) {
- return output.concat(input);
- }
- var idx = output.length;
- for (var i = 0, length = getLength(input); i < length; i++) {
- var value = input[i];
- if (isArrayLike(value) && (isArray(value) || isArguments$1(value))) {
- // Flatten current level of array or arguments object.
- if (depth > 1) {
- flatten$1(value, depth - 1, strict, output);
- idx = output.length;
- } else {
- var j = 0, len = value.length;
- while (j < len) output[idx++] = value[j++];
- }
- } else if (!strict) {
- output[idx++] = value;
- }
- }
- return output;
- }
-
- // Bind a number of an object's methods to that object. Remaining arguments
- // are the method names to be bound. Useful for ensuring that all callbacks
- // defined on an object belong to it.
- var bindAll = restArguments(function(obj, keys) {
- keys = flatten$1(keys, false, false);
- var index = keys.length;
- if (index < 1) throw new Error('bindAll must be passed function names');
- while (index--) {
- var key = keys[index];
- obj[key] = bind(obj[key], obj);
- }
- return obj;
- });
-
- // Memoize an expensive function by storing its results.
- function memoize(func, hasher) {
- var memoize = function(key) {
- var cache = memoize.cache;
- var address = '' + (hasher ? hasher.apply(this, arguments) : key);
- if (!has$1(cache, address)) cache[address] = func.apply(this, arguments);
- return cache[address];
- };
- memoize.cache = {};
- return memoize;
- }
-
- // Delays a function for the given number of milliseconds, and then calls
- // it with the arguments supplied.
- var delay = restArguments(function(func, wait, args) {
- return setTimeout(function() {
- return func.apply(null, args);
- }, wait);
- });
-
- // Defers a function, scheduling it to run after the current call stack has
- // cleared.
- var defer = partial(delay, _$1, 1);
-
- // Returns a function, that, when invoked, will only be triggered at most once
- // during a given window of time. Normally, the throttled function will run
- // as much as it can, without ever going more than once per `wait` duration;
- // but if you'd like to disable the execution on the leading edge, pass
- // `{leading: false}`. To disable execution on the trailing edge, ditto.
- function throttle(func, wait, options) {
- var timeout, context, args, result;
- var previous = 0;
- if (!options) options = {};
-
- var later = function() {
- previous = options.leading === false ? 0 : now();
- timeout = null;
- result = func.apply(context, args);
- if (!timeout) context = args = null;
- };
-
- var throttled = function() {
- var _now = now();
- if (!previous && options.leading === false) previous = _now;
- var remaining = wait - (_now - previous);
- context = this;
- args = arguments;
- if (remaining <= 0 || remaining > wait) {
- if (timeout) {
- clearTimeout(timeout);
- timeout = null;
- }
- previous = _now;
- result = func.apply(context, args);
- if (!timeout) context = args = null;
- } else if (!timeout && options.trailing !== false) {
- timeout = setTimeout(later, remaining);
- }
- return result;
- };
-
- throttled.cancel = function() {
- clearTimeout(timeout);
- previous = 0;
- timeout = context = args = null;
- };
-
- return throttled;
- }
-
- // When a sequence of calls of the returned function ends, the argument
- // function is triggered. The end of a sequence is defined by the `wait`
- // parameter. If `immediate` is passed, the argument function will be
- // triggered at the beginning of the sequence instead of at the end.
- function debounce(func, wait, immediate) {
- var timeout, previous, args, result, context;
-
- var later = function() {
- var passed = now() - previous;
- if (wait > passed) {
- timeout = setTimeout(later, wait - passed);
- } else {
- timeout = null;
- if (!immediate) result = func.apply(context, args);
- // This check is needed because `func` can recursively invoke `debounced`.
- if (!timeout) args = context = null;
- }
- };
-
- var debounced = restArguments(function(_args) {
- context = this;
- args = _args;
- previous = now();
- if (!timeout) {
- timeout = setTimeout(later, wait);
- if (immediate) result = func.apply(context, args);
- }
- return result;
- });
-
- debounced.cancel = function() {
- clearTimeout(timeout);
- timeout = args = context = null;
- };
-
- return debounced;
- }
-
- // Returns the first function passed as an argument to the second,
- // allowing you to adjust arguments, run code before and after, and
- // conditionally execute the original function.
- function wrap(func, wrapper) {
- return partial(wrapper, func);
- }
-
- // Returns a negated version of the passed-in predicate.
- function negate(predicate) {
- return function() {
- return !predicate.apply(this, arguments);
- };
- }
-
- // Returns a function that is the composition of a list of functions, each
- // consuming the return value of the function that follows.
- function compose() {
- var args = arguments;
- var start = args.length - 1;
- return function() {
- var i = start;
- var result = args[start].apply(this, arguments);
- while (i--) result = args[i].call(this, result);
- return result;
- };
- }
-
- // Returns a function that will only be executed on and after the Nth call.
- function after(times, func) {
- return function() {
- if (--times < 1) {
- return func.apply(this, arguments);
- }
- };
- }
-
- // Returns a function that will only be executed up to (but not including) the
- // Nth call.
- function before(times, func) {
- var memo;
- return function() {
- if (--times > 0) {
- memo = func.apply(this, arguments);
- }
- if (times <= 1) func = null;
- return memo;
- };
- }
-
- // Returns a function that will be executed at most one time, no matter how
- // often you call it. Useful for lazy initialization.
- var once = partial(before, 2);
-
- // Returns the first key on an object that passes a truth test.
- function findKey(obj, predicate, context) {
- predicate = cb(predicate, context);
- var _keys = keys(obj), key;
- for (var i = 0, length = _keys.length; i < length; i++) {
- key = _keys[i];
- if (predicate(obj[key], key, obj)) return key;
- }
- }
-
- // Internal function to generate `_.findIndex` and `_.findLastIndex`.
- function createPredicateIndexFinder(dir) {
- return function(array, predicate, context) {
- predicate = cb(predicate, context);
- var length = getLength(array);
- var index = dir > 0 ? 0 : length - 1;
- for (; index >= 0 && index < length; index += dir) {
- if (predicate(array[index], index, array)) return index;
- }
- return -1;
- };
- }
-
- // Returns the first index on an array-like that passes a truth test.
- var findIndex = createPredicateIndexFinder(1);
-
- // Returns the last index on an array-like that passes a truth test.
- var findLastIndex = createPredicateIndexFinder(-1);
-
- // Use a comparator function to figure out the smallest index at which
- // an object should be inserted so as to maintain order. Uses binary search.
- function sortedIndex(array, obj, iteratee, context) {
- iteratee = cb(iteratee, context, 1);
- var value = iteratee(obj);
- var low = 0, high = getLength(array);
- while (low < high) {
- var mid = Math.floor((low + high) / 2);
- if (iteratee(array[mid]) < value) low = mid + 1; else high = mid;
- }
- return low;
- }
-
- // Internal function to generate the `_.indexOf` and `_.lastIndexOf` functions.
- function createIndexFinder(dir, predicateFind, sortedIndex) {
- return function(array, item, idx) {
- var i = 0, length = getLength(array);
- if (typeof idx == 'number') {
- if (dir > 0) {
- i = idx >= 0 ? idx : Math.max(idx + length, i);
- } else {
- length = idx >= 0 ? Math.min(idx + 1, length) : idx + length + 1;
- }
- } else if (sortedIndex && idx && length) {
- idx = sortedIndex(array, item);
- return array[idx] === item ? idx : -1;
- }
- if (item !== item) {
- idx = predicateFind(slice.call(array, i, length), isNaN$1);
- return idx >= 0 ? idx + i : -1;
- }
- for (idx = dir > 0 ? i : length - 1; idx >= 0 && idx < length; idx += dir) {
- if (array[idx] === item) return idx;
- }
- return -1;
- };
- }
-
- // Return the position of the first occurrence of an item in an array,
- // or -1 if the item is not included in the array.
- // If the array is large and already in sort order, pass `true`
- // for **isSorted** to use binary search.
- var indexOf = createIndexFinder(1, findIndex, sortedIndex);
-
- // Return the position of the last occurrence of an item in an array,
- // or -1 if the item is not included in the array.
- var lastIndexOf = createIndexFinder(-1, findLastIndex);
-
- // Return the first value which passes a truth test.
- function find(obj, predicate, context) {
- var keyFinder = isArrayLike(obj) ? findIndex : findKey;
- var key = keyFinder(obj, predicate, context);
- if (key !== void 0 && key !== -1) return obj[key];
- }
-
- // Convenience version of a common use case of `_.find`: getting the first
- // object containing specific `key:value` pairs.
- function findWhere(obj, attrs) {
- return find(obj, matcher(attrs));
- }
-
- // The cornerstone for collection functions, an `each`
- // implementation, aka `forEach`.
- // Handles raw objects in addition to array-likes. Treats all
- // sparse array-likes as if they were dense.
- function each(obj, iteratee, context) {
- iteratee = optimizeCb(iteratee, context);
- var i, length;
- if (isArrayLike(obj)) {
- for (i = 0, length = obj.length; i < length; i++) {
- iteratee(obj[i], i, obj);
- }
- } else {
- var _keys = keys(obj);
- for (i = 0, length = _keys.length; i < length; i++) {
- iteratee(obj[_keys[i]], _keys[i], obj);
- }
- }
- return obj;
- }
-
- // Return the results of applying the iteratee to each element.
- function map(obj, iteratee, context) {
- iteratee = cb(iteratee, context);
- var _keys = !isArrayLike(obj) && keys(obj),
- length = (_keys || obj).length,
- results = Array(length);
- for (var index = 0; index < length; index++) {
- var currentKey = _keys ? _keys[index] : index;
- results[index] = iteratee(obj[currentKey], currentKey, obj);
- }
- return results;
- }
-
- // Internal helper to create a reducing function, iterating left or right.
- function createReduce(dir) {
- // Wrap code that reassigns argument variables in a separate function than
- // the one that accesses `arguments.length` to avoid a perf hit. (#1991)
- var reducer = function(obj, iteratee, memo, initial) {
- var _keys = !isArrayLike(obj) && keys(obj),
- length = (_keys || obj).length,
- index = dir > 0 ? 0 : length - 1;
- if (!initial) {
- memo = obj[_keys ? _keys[index] : index];
- index += dir;
- }
- for (; index >= 0 && index < length; index += dir) {
- var currentKey = _keys ? _keys[index] : index;
- memo = iteratee(memo, obj[currentKey], currentKey, obj);
- }
- return memo;
- };
-
- return function(obj, iteratee, memo, context) {
- var initial = arguments.length >= 3;
- return reducer(obj, optimizeCb(iteratee, context, 4), memo, initial);
- };
- }
-
- // **Reduce** builds up a single result from a list of values, aka `inject`,
- // or `foldl`.
- var reduce = createReduce(1);
-
- // The right-associative version of reduce, also known as `foldr`.
- var reduceRight = createReduce(-1);
-
- // Return all the elements that pass a truth test.
- function filter(obj, predicate, context) {
- var results = [];
- predicate = cb(predicate, context);
- each(obj, function(value, index, list) {
- if (predicate(value, index, list)) results.push(value);
- });
- return results;
- }
-
- // Return all the elements for which a truth test fails.
- function reject(obj, predicate, context) {
- return filter(obj, negate(cb(predicate)), context);
- }
-
- // Determine whether all of the elements pass a truth test.
- function every(obj, predicate, context) {
- predicate = cb(predicate, context);
- var _keys = !isArrayLike(obj) && keys(obj),
- length = (_keys || obj).length;
- for (var index = 0; index < length; index++) {
- var currentKey = _keys ? _keys[index] : index;
- if (!predicate(obj[currentKey], currentKey, obj)) return false;
- }
- return true;
- }
-
- // Determine if at least one element in the object passes a truth test.
- function some(obj, predicate, context) {
- predicate = cb(predicate, context);
- var _keys = !isArrayLike(obj) && keys(obj),
- length = (_keys || obj).length;
- for (var index = 0; index < length; index++) {
- var currentKey = _keys ? _keys[index] : index;
- if (predicate(obj[currentKey], currentKey, obj)) return true;
- }
- return false;
- }
-
- // Determine if the array or object contains a given item (using `===`).
- function contains(obj, item, fromIndex, guard) {
- if (!isArrayLike(obj)) obj = values(obj);
- if (typeof fromIndex != 'number' || guard) fromIndex = 0;
- return indexOf(obj, item, fromIndex) >= 0;
- }
-
- // Invoke a method (with arguments) on every item in a collection.
- var invoke = restArguments(function(obj, path, args) {
- var contextPath, func;
- if (isFunction$1(path)) {
- func = path;
- } else {
- path = toPath(path);
- contextPath = path.slice(0, -1);
- path = path[path.length - 1];
- }
- return map(obj, function(context) {
- var method = func;
- if (!method) {
- if (contextPath && contextPath.length) {
- context = deepGet(context, contextPath);
- }
- if (context == null) return void 0;
- method = context[path];
- }
- return method == null ? method : method.apply(context, args);
- });
- });
-
- // Convenience version of a common use case of `_.map`: fetching a property.
- function pluck(obj, key) {
- return map(obj, property(key));
- }
-
- // Convenience version of a common use case of `_.filter`: selecting only
- // objects containing specific `key:value` pairs.
- function where(obj, attrs) {
- return filter(obj, matcher(attrs));
- }
-
- // Return the maximum element (or element-based computation).
- function max(obj, iteratee, context) {
- var result = -Infinity, lastComputed = -Infinity,
- value, computed;
- if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
- obj = isArrayLike(obj) ? obj : values(obj);
- for (var i = 0, length = obj.length; i < length; i++) {
- value = obj[i];
- if (value != null && value > result) {
- result = value;
- }
- }
- } else {
- iteratee = cb(iteratee, context);
- each(obj, function(v, index, list) {
- computed = iteratee(v, index, list);
- if (computed > lastComputed || computed === -Infinity && result === -Infinity) {
- result = v;
- lastComputed = computed;
- }
- });
- }
- return result;
- }
-
- // Return the minimum element (or element-based computation).
- function min(obj, iteratee, context) {
- var result = Infinity, lastComputed = Infinity,
- value, computed;
- if (iteratee == null || typeof iteratee == 'number' && typeof obj[0] != 'object' && obj != null) {
- obj = isArrayLike(obj) ? obj : values(obj);
- for (var i = 0, length = obj.length; i < length; i++) {
- value = obj[i];
- if (value != null && value < result) {
- result = value;
- }
- }
- } else {
- iteratee = cb(iteratee, context);
- each(obj, function(v, index, list) {
- computed = iteratee(v, index, list);
- if (computed < lastComputed || computed === Infinity && result === Infinity) {
- result = v;
- lastComputed = computed;
- }
- });
- }
- return result;
- }
-
- // Sample **n** random values from a collection using the modern version of the
- // [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher–Yates_shuffle).
- // If **n** is not specified, returns a single random element.
- // The internal `guard` argument allows it to work with `_.map`.
- function sample(obj, n, guard) {
- if (n == null || guard) {
- if (!isArrayLike(obj)) obj = values(obj);
- return obj[random(obj.length - 1)];
- }
- var sample = isArrayLike(obj) ? clone(obj) : values(obj);
- var length = getLength(sample);
- n = Math.max(Math.min(n, length), 0);
- var last = length - 1;
- for (var index = 0; index < n; index++) {
- var rand = random(index, last);
- var temp = sample[index];
- sample[index] = sample[rand];
- sample[rand] = temp;
- }
- return sample.slice(0, n);
- }
-
- // Shuffle a collection.
- function shuffle(obj) {
- return sample(obj, Infinity);
- }
-
- // Sort the object's values by a criterion produced by an iteratee.
- function sortBy(obj, iteratee, context) {
- var index = 0;
- iteratee = cb(iteratee, context);
- return pluck(map(obj, function(value, key, list) {
- return {
- value: value,
- index: index++,
- criteria: iteratee(value, key, list)
- };
- }).sort(function(left, right) {
- var a = left.criteria;
- var b = right.criteria;
- if (a !== b) {
- if (a > b || a === void 0) return 1;
- if (a < b || b === void 0) return -1;
- }
- return left.index - right.index;
- }), 'value');
- }
-
- // An internal function used for aggregate "group by" operations.
- function group(behavior, partition) {
- return function(obj, iteratee, context) {
- var result = partition ? [[], []] : {};
- iteratee = cb(iteratee, context);
- each(obj, function(value, index) {
- var key = iteratee(value, index, obj);
- behavior(result, value, key);
- });
- return result;
- };
- }
-
- // Groups the object's values by a criterion. Pass either a string attribute
- // to group by, or a function that returns the criterion.
- var groupBy = group(function(result, value, key) {
- if (has$1(result, key)) result[key].push(value); else result[key] = [value];
- });
-
- // Indexes the object's values by a criterion, similar to `_.groupBy`, but for
- // when you know that your index values will be unique.
- var indexBy = group(function(result, value, key) {
- result[key] = value;
- });
-
- // Counts instances of an object that group by a certain criterion. Pass
- // either a string attribute to count by, or a function that returns the
- // criterion.
- var countBy = group(function(result, value, key) {
- if (has$1(result, key)) result[key]++; else result[key] = 1;
- });
-
- // Split a collection into two arrays: one whose elements all pass the given
- // truth test, and one whose elements all do not pass the truth test.
- var partition = group(function(result, value, pass) {
- result[pass ? 0 : 1].push(value);
- }, true);
-
- // Safely create a real, live array from anything iterable.
- var reStrSymbol = /[^\ud800-\udfff]|[\ud800-\udbff][\udc00-\udfff]|[\ud800-\udfff]/g;
- function toArray(obj) {
- if (!obj) return [];
- if (isArray(obj)) return slice.call(obj);
- if (isString(obj)) {
- // Keep surrogate pair characters together.
- return obj.match(reStrSymbol);
- }
- if (isArrayLike(obj)) return map(obj, identity);
- return values(obj);
- }
-
- // Return the number of elements in a collection.
- function size(obj) {
- if (obj == null) return 0;
- return isArrayLike(obj) ? obj.length : keys(obj).length;
- }
-
- // Internal `_.pick` helper function to determine whether `key` is an enumerable
- // property name of `obj`.
- function keyInObj(value, key, obj) {
- return key in obj;
- }
-
- // Return a copy of the object only containing the allowed properties.
- var pick = restArguments(function(obj, keys) {
- var result = {}, iteratee = keys[0];
- if (obj == null) return result;
- if (isFunction$1(iteratee)) {
- if (keys.length > 1) iteratee = optimizeCb(iteratee, keys[1]);
- keys = allKeys(obj);
- } else {
- iteratee = keyInObj;
- keys = flatten$1(keys, false, false);
- obj = Object(obj);
- }
- for (var i = 0, length = keys.length; i < length; i++) {
- var key = keys[i];
- var value = obj[key];
- if (iteratee(value, key, obj)) result[key] = value;
- }
- return result;
- });
-
- // Return a copy of the object without the disallowed properties.
- var omit = restArguments(function(obj, keys) {
- var iteratee = keys[0], context;
- if (isFunction$1(iteratee)) {
- iteratee = negate(iteratee);
- if (keys.length > 1) context = keys[1];
- } else {
- keys = map(flatten$1(keys, false, false), String);
- iteratee = function(value, key) {
- return !contains(keys, key);
- };
- }
- return pick(obj, iteratee, context);
- });
-
- // Returns everything but the last entry of the array. Especially useful on
- // the arguments object. Passing **n** will return all the values in
- // the array, excluding the last N.
- function initial(array, n, guard) {
- return slice.call(array, 0, Math.max(0, array.length - (n == null || guard ? 1 : n)));
- }
-
- // Get the first element of an array. Passing **n** will return the first N
- // values in the array. The **guard** check allows it to work with `_.map`.
- function first(array, n, guard) {
- if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
- if (n == null || guard) return array[0];
- return initial(array, array.length - n);
- }
-
- // Returns everything but the first entry of the `array`. Especially useful on
- // the `arguments` object. Passing an **n** will return the rest N values in the
- // `array`.
- function rest(array, n, guard) {
- return slice.call(array, n == null || guard ? 1 : n);
- }
-
- // Get the last element of an array. Passing **n** will return the last N
- // values in the array.
- function last(array, n, guard) {
- if (array == null || array.length < 1) return n == null || guard ? void 0 : [];
- if (n == null || guard) return array[array.length - 1];
- return rest(array, Math.max(0, array.length - n));
- }
-
- // Trim out all falsy values from an array.
- function compact(array) {
- return filter(array, Boolean);
- }
-
- // Flatten out an array, either recursively (by default), or up to `depth`.
- // Passing `true` or `false` as `depth` means `1` or `Infinity`, respectively.
- function flatten(array, depth) {
- return flatten$1(array, depth, false);
- }
-
- // Take the difference between one array and a number of other arrays.
- // Only the elements present in just the first array will remain.
- var difference = restArguments(function(array, rest) {
- rest = flatten$1(rest, true, true);
- return filter(array, function(value){
- return !contains(rest, value);
- });
- });
-
- // Return a version of the array that does not contain the specified value(s).
- var without = restArguments(function(array, otherArrays) {
- return difference(array, otherArrays);
- });
-
- // Produce a duplicate-free version of the array. If the array has already
- // been sorted, you have the option of using a faster algorithm.
- // The faster algorithm will not work with an iteratee if the iteratee
- // is not a one-to-one function, so providing an iteratee will disable
- // the faster algorithm.
- function uniq(array, isSorted, iteratee, context) {
- if (!isBoolean(isSorted)) {
- context = iteratee;
- iteratee = isSorted;
- isSorted = false;
- }
- if (iteratee != null) iteratee = cb(iteratee, context);
- var result = [];
- var seen = [];
- for (var i = 0, length = getLength(array); i < length; i++) {
- var value = array[i],
- computed = iteratee ? iteratee(value, i, array) : value;
- if (isSorted && !iteratee) {
- if (!i || seen !== computed) result.push(value);
- seen = computed;
- } else if (iteratee) {
- if (!contains(seen, computed)) {
- seen.push(computed);
- result.push(value);
- }
- } else if (!contains(result, value)) {
- result.push(value);
- }
- }
- return result;
- }
-
- // Produce an array that contains the union: each distinct element from all of
- // the passed-in arrays.
- var union = restArguments(function(arrays) {
- return uniq(flatten$1(arrays, true, true));
- });
-
- // Produce an array that contains every item shared between all the
- // passed-in arrays.
- function intersection(array) {
- var result = [];
- var argsLength = arguments.length;
- for (var i = 0, length = getLength(array); i < length; i++) {
- var item = array[i];
- if (contains(result, item)) continue;
- var j;
- for (j = 1; j < argsLength; j++) {
- if (!contains(arguments[j], item)) break;
- }
- if (j === argsLength) result.push(item);
- }
- return result;
- }
-
- // Complement of zip. Unzip accepts an array of arrays and groups
- // each array's elements on shared indices.
- function unzip(array) {
- var length = array && max(array, getLength).length || 0;
- var result = Array(length);
-
- for (var index = 0; index < length; index++) {
- result[index] = pluck(array, index);
- }
- return result;
- }
-
- // Zip together multiple lists into a single array -- elements that share
- // an index go together.
- var zip = restArguments(unzip);
-
- // Converts lists into objects. Pass either a single array of `[key, value]`
- // pairs, or two parallel arrays of the same length -- one of keys, and one of
- // the corresponding values. Passing by pairs is the reverse of `_.pairs`.
- function object(list, values) {
- var result = {};
- for (var i = 0, length = getLength(list); i < length; i++) {
- if (values) {
- result[list[i]] = values[i];
- } else {
- result[list[i][0]] = list[i][1];
- }
- }
- return result;
- }
-
- // Generate an integer Array containing an arithmetic progression. A port of
- // the native Python `range()` function. See
- // [the Python documentation](https://docs.python.org/library/functions.html#range).
- function range(start, stop, step) {
- if (stop == null) {
- stop = start || 0;
- start = 0;
- }
- if (!step) {
- step = stop < start ? -1 : 1;
- }
-
- var length = Math.max(Math.ceil((stop - start) / step), 0);
- var range = Array(length);
-
- for (var idx = 0; idx < length; idx++, start += step) {
- range[idx] = start;
- }
-
- return range;
- }
-
- // Chunk a single array into multiple arrays, each containing `count` or fewer
- // items.
- function chunk(array, count) {
- if (count == null || count < 1) return [];
- var result = [];
- var i = 0, length = array.length;
- while (i < length) {
- result.push(slice.call(array, i, i += count));
- }
- return result;
- }
-
- // Helper function to continue chaining intermediate results.
- function chainResult(instance, obj) {
- return instance._chain ? _$1(obj).chain() : obj;
- }
-
- // Add your own custom functions to the Underscore object.
- function mixin(obj) {
- each(functions(obj), function(name) {
- var func = _$1[name] = obj[name];
- _$1.prototype[name] = function() {
- var args = [this._wrapped];
- push.apply(args, arguments);
- return chainResult(this, func.apply(_$1, args));
- };
- });
- return _$1;
- }
-
- // Add all mutator `Array` functions to the wrapper.
- each(['pop', 'push', 'reverse', 'shift', 'sort', 'splice', 'unshift'], function(name) {
- var method = ArrayProto[name];
- _$1.prototype[name] = function() {
- var obj = this._wrapped;
- if (obj != null) {
- method.apply(obj, arguments);
- if ((name === 'shift' || name === 'splice') && obj.length === 0) {
- delete obj[0];
- }
- }
- return chainResult(this, obj);
- };
- });
-
- // Add all accessor `Array` functions to the wrapper.
- each(['concat', 'join', 'slice'], function(name) {
- var method = ArrayProto[name];
- _$1.prototype[name] = function() {
- var obj = this._wrapped;
- if (obj != null) obj = method.apply(obj, arguments);
- return chainResult(this, obj);
- };
- });
-
- // Named Exports
-
- var allExports = {
- __proto__: null,
- VERSION: VERSION,
- restArguments: restArguments,
- isObject: isObject,
- isNull: isNull,
- isUndefined: isUndefined,
- isBoolean: isBoolean,
- isElement: isElement,
- isString: isString,
- isNumber: isNumber,
- isDate: isDate,
- isRegExp: isRegExp,
- isError: isError,
- isSymbol: isSymbol,
- isArrayBuffer: isArrayBuffer,
- isDataView: isDataView$1,
- isArray: isArray,
- isFunction: isFunction$1,
- isArguments: isArguments$1,
- isFinite: isFinite$1,
- isNaN: isNaN$1,
- isTypedArray: isTypedArray$1,
- isEmpty: isEmpty,
- isMatch: isMatch,
- isEqual: isEqual,
- isMap: isMap,
- isWeakMap: isWeakMap,
- isSet: isSet,
- isWeakSet: isWeakSet,
- keys: keys,
- allKeys: allKeys,
- values: values,
- pairs: pairs,
- invert: invert,
- functions: functions,
- methods: functions,
- extend: extend,
- extendOwn: extendOwn,
- assign: extendOwn,
- defaults: defaults,
- create: create,
- clone: clone,
- tap: tap,
- get: get,
- has: has,
- mapObject: mapObject,
- identity: identity,
- constant: constant,
- noop: noop,
- toPath: toPath$1,
- property: property,
- propertyOf: propertyOf,
- matcher: matcher,
- matches: matcher,
- times: times,
- random: random,
- now: now,
- escape: _escape,
- unescape: _unescape,
- templateSettings: templateSettings,
- template: template,
- result: result,
- uniqueId: uniqueId,
- chain: chain,
- iteratee: iteratee,
- partial: partial,
- bind: bind,
- bindAll: bindAll,
- memoize: memoize,
- delay: delay,
- defer: defer,
- throttle: throttle,
- debounce: debounce,
- wrap: wrap,
- negate: negate,
- compose: compose,
- after: after,
- before: before,
- once: once,
- findKey: findKey,
- findIndex: findIndex,
- findLastIndex: findLastIndex,
- sortedIndex: sortedIndex,
- indexOf: indexOf,
- lastIndexOf: lastIndexOf,
- find: find,
- detect: find,
- findWhere: findWhere,
- each: each,
- forEach: each,
- map: map,
- collect: map,
- reduce: reduce,
- foldl: reduce,
- inject: reduce,
- reduceRight: reduceRight,
- foldr: reduceRight,
- filter: filter,
- select: filter,
- reject: reject,
- every: every,
- all: every,
- some: some,
- any: some,
- contains: contains,
- includes: contains,
- include: contains,
- invoke: invoke,
- pluck: pluck,
- where: where,
- max: max,
- min: min,
- shuffle: shuffle,
- sample: sample,
- sortBy: sortBy,
- groupBy: groupBy,
- indexBy: indexBy,
- countBy: countBy,
- partition: partition,
- toArray: toArray,
- size: size,
- pick: pick,
- omit: omit,
- first: first,
- head: first,
- take: first,
- initial: initial,
- last: last,
- rest: rest,
- tail: rest,
- drop: rest,
- compact: compact,
- flatten: flatten,
- without: without,
- uniq: uniq,
- unique: uniq,
- union: union,
- intersection: intersection,
- difference: difference,
- unzip: unzip,
- transpose: unzip,
- zip: zip,
- object: object,
- range: range,
- chunk: chunk,
- mixin: mixin,
- 'default': _$1
- };
-
- // Default Export
-
- // Add all of the Underscore functions to the wrapper object.
- var _ = mixin(allExports);
- // Legacy Node.js API.
- _._ = _;
-
- return _;
-
-})));
-//# sourceMappingURL=underscore-umd.js.map
diff --git a/docs/_build/html/_static/underscore.js b/docs/_build/html/_static/underscore.js
deleted file mode 100644
index cf177d4285ab55fbc16406a5ec827b80e7eecd53..0000000000000000000000000000000000000000
--- a/docs/_build/html/_static/underscore.js
+++ /dev/null
@@ -1,6 +0,0 @@
-!function(n,r){"object"==typeof exports&&"undefined"!=typeof module?module.exports=r():"function"==typeof define&&define.amd?define("underscore",r):(n="undefined"!=typeof globalThis?globalThis:n||self,function(){var t=n._,e=n._=r();e.noConflict=function(){return n._=t,e}}())}(this,(function(){
-// Underscore.js 1.13.1
-// https://underscorejs.org
-// (c) 2009-2021 Jeremy Ashkenas, Julian Gonggrijp, and DocumentCloud and Investigative Reporters & Editors
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diff --git a/docs/_build/html/genindex.html b/docs/_build/html/genindex.html
deleted file mode 100644
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--- a/docs/_build/html/genindex.html
+++ /dev/null
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-<!DOCTYPE html>
-<html class="writer-html5" lang="en">
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- <title>Index — volumentations_biomedicine documentation</title>
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-<h1 id="index">Index</h1>
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-<div class="genindex-jumpbox">
- <a href="#A"><strong>A</strong></a>
- | <a href="#C"><strong>C</strong></a>
- | <a href="#E"><strong>E</strong></a>
- | <a href="#F"><strong>F</strong></a>
- | <a href="#G"><strong>G</strong></a>
- | <a href="#H"><strong>H</strong></a>
- | <a href="#M"><strong>M</strong></a>
- | <a href="#N"><strong>N</strong></a>
- | <a href="#P"><strong>P</strong></a>
- | <a href="#R"><strong>R</strong></a>
- | <a href="#S"><strong>S</strong></a>
- | <a href="#V"><strong>V</strong></a>
-
-</div>
-<h2 id="A">A</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.AffineTransform">AffineTransform (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.AffineTransform.apply">apply() (volumentations_biomedicine.augmentations.transforms.AffineTransform method)</a>
-
- <ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.CenterCrop.apply">(volumentations_biomedicine.augmentations.transforms.CenterCrop method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Contiguous.apply">(volumentations_biomedicine.augmentations.transforms.Contiguous method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.ElasticTransform.apply">(volumentations_biomedicine.augmentations.transforms.ElasticTransform method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Flip.apply">(volumentations_biomedicine.augmentations.transforms.Flip method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Float.apply">(volumentations_biomedicine.augmentations.transforms.Float method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianBlur.apply">(volumentations_biomedicine.augmentations.transforms.GaussianBlur method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianNoise.apply">(volumentations_biomedicine.augmentations.transforms.GaussianNoise method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout.apply">(volumentations_biomedicine.augmentations.transforms.GridDropout method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.HistogramEqualization.apply">(volumentations_biomedicine.augmentations.transforms.HistogramEqualization method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Normalize.apply">(volumentations_biomedicine.augmentations.transforms.Normalize method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd.apply">(volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Pad.apply">(volumentations_biomedicine.augmentations.transforms.Pad method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.apply">(volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomCrop.apply">(volumentations_biomedicine.augmentations.transforms.RandomCrop method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.apply">(volumentations_biomedicine.augmentations.transforms.RandomDropPlane method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomFlip.apply">(volumentations_biomedicine.augmentations.transforms.RandomFlip method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGamma.apply">(volumentations_biomedicine.augmentations.transforms.RandomGamma method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur.apply">(volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomRotate90.apply">(volumentations_biomedicine.augmentations.transforms.RandomRotate90 method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomScale.apply">(volumentations_biomedicine.augmentations.transforms.RandomScale method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Resize.apply">(volumentations_biomedicine.augmentations.transforms.Resize method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Scale.apply">(volumentations_biomedicine.augmentations.transforms.Scale method)</a>
-</li>
- </ul></li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.AffineTransform.apply_to_mask">apply_to_mask() (volumentations_biomedicine.augmentations.transforms.AffineTransform method)</a>
-
- <ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.CenterCrop.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.CenterCrop method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.ElasticTransform.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.ElasticTransform method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Flip.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.Flip method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.GridDropout method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Pad.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.Pad method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomCrop.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.RandomCrop method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.RandomDropPlane method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomFlip.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.RandomFlip method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomRotate90.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.RandomRotate90 method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomScale.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.RandomScale method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Resize.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.Resize method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Scale.apply_to_mask">(volumentations_biomedicine.augmentations.transforms.Scale method)</a>
-</li>
- </ul></li>
- </ul></td>
-</tr></table>
-
-<h2 id="C">C</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.CenterCrop">CenterCrop (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Contiguous">Contiguous (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="E">E</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.ElasticTransform">ElasticTransform (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="F">F</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Flip">Flip (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Float">Float (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="G">G</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianBlur">GaussianBlur (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianNoise">GaussianNoise (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.AffineTransform.get_params">get_params() (volumentations_biomedicine.augmentations.transforms.AffineTransform method)</a>
-
- <ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.ElasticTransform.get_params">(volumentations_biomedicine.augmentations.transforms.ElasticTransform method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Flip.get_params">(volumentations_biomedicine.augmentations.transforms.Flip method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GaussianNoise.get_params">(volumentations_biomedicine.augmentations.transforms.GaussianNoise method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout.get_params">(volumentations_biomedicine.augmentations.transforms.GridDropout method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.get_params">(volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomCrop.get_params">(volumentations_biomedicine.augmentations.transforms.RandomCrop method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.get_params">(volumentations_biomedicine.augmentations.transforms.RandomDropPlane method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomFlip.get_params">(volumentations_biomedicine.augmentations.transforms.RandomFlip method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGamma.get_params">(volumentations_biomedicine.augmentations.transforms.RandomGamma method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur.get_params">(volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomRotate90.get_params">(volumentations_biomedicine.augmentations.transforms.RandomRotate90 method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomScale.get_params">(volumentations_biomedicine.augmentations.transforms.RandomScale method)</a>
-</li>
- </ul></li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout.get_transform_init_args_names">get_transform_init_args_names() (volumentations_biomedicine.augmentations.transforms.GridDropout method)</a>
-
- <ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.get_transform_init_args_names">(volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast method)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGamma.get_transform_init_args_names">(volumentations_biomedicine.augmentations.transforms.RandomGamma method)</a>
-</li>
- </ul></li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.GridDropout">GridDropout (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="H">H</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.HistogramEqualization">HistogramEqualization (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="M">M</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li>
- module
-
- <ul>
- <li><a href="volumentations_biomedicine.augmentations.html#module-volumentations_biomedicine.augmentations.transforms">volumentations_biomedicine.augmentations.transforms</a>
-</li>
- </ul></li>
- </ul></td>
-</tr></table>
-
-<h2 id="N">N</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Normalize">Normalize (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd">NormalizeMeanStd (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="P">P</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Pad">Pad (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="R">R</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast">RandomBrightnessContrast (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomCrop">RandomCrop (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomDropPlane">RandomDropPlane (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomFlip">RandomFlip (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGamma">RandomGamma (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur">RandomGaussianBlur (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomRotate90">RandomRotate90 (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.RandomScale">RandomScale (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Resize">Resize (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="S">S</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li><a href="volumentations_biomedicine.augmentations.html#volumentations_biomedicine.augmentations.transforms.Scale">Scale (class in volumentations_biomedicine.augmentations.transforms)</a>
-</li>
- </ul></td>
-</tr></table>
-
-<h2 id="V">V</h2>
-<table style="width: 100%" class="indextable genindextable"><tr>
- <td style="width: 33%; vertical-align: top;"><ul>
- <li>
- volumentations_biomedicine.augmentations.transforms
-
- <ul>
- <li><a href="volumentations_biomedicine.augmentations.html#module-volumentations_biomedicine.augmentations.transforms">module</a>
-</li>
- </ul></li>
- </ul></td>
-</tr></table>
-
-
-
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-<html class="writer-html5" lang="en">
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- Bio-Volumentations<br><br>
- <img src="logo.png" alt="Logo Bio-Volumentations" style="vertical-align: middle; margin-left: 10px; width: 100px; height: auto; border-radius: 0;">
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- <div itemprop="articleBody">
-
- <h1>
- Bio-Volumentations
- </h1>
- Image augmentation package for 3D/4D + channels volume data inspired by albumentations. <br><br>
-
- <b>Main assumption </b> is that the channel is first dimension and afterwards there are spatial dimensions and optionally time if image is 4D. <br><br>
-
- If input/image is 3D image without channels, then Compose automatically increase input by one dimension which represents one channel. It is recommended to use transformations inside Compose.
- </p>
-
- <h1>
- Project Info
- </h1>
-
- GitLab repository : <a href="https://gitlab.fi.muni.cz/xsulan/volumentations-biomedicine/">https://gitlab.fi.muni.cz/xsulan/volumentations-biomedicine/</a><br><br>
-
- License: MIT <br><br>
-
-
- <h1>
- Installation
- </h1>
-
- You can use pip to install bio-volumentations : <br><br>
-
- <div style="background-color: #f0e68c; padding: 10px; border-radius: 5px; margin-bottom: 10px;">
- <p style="margin: 0;"><code>pip install bio-volumentations</code></p>
-</div> <br>
-
- And import to your project as : <br><br>
-
-
-<div style="background-color: #f0e68c; padding: 10px; border-radius: 5px; margin-bottom: 10px;">
- <p style="margin: 0;">
- <code>import bio_volumentations as biovol</code>
-</div> <br><br>
-
-<section id="welcome-to-volumentations-biomedicine-s-documentation">
-<h1>Demo<a class="headerlink" href="#welcome-to-volumentations-biomedicine-s-documentation" title="Permalink to this heading">ď</a></h1>
-You can use this <a href="https://colab.research.google.com/drive/1kvcA2G1Ovch7ftyiGkC2ydmwP-wB-y0M?usp=sharing">Google Colaboratory notebook</a> to <br><br>
-<div class="toctree-wrapper compound">
-<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
-<ul>
-<li class="toctree-l1"><a class="reference internal" href="volumentations_biomedicine.augmentations.html">Augumentations</a></li>
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- <section id="module-volumentations_biomedicine.augmentations.transforms">
-<span id="volumentations-biomedicine-augmentations-transforms-module"></span><h1>volumentations_biomedicine.augmentations.transforms module<a class="headerlink" href="#module-volumentations_biomedicine.augmentations.transforms" title="Permalink to this heading">ď</a></h1>
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.AffineTransform">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">AffineTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angle_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">[15,</span> <span class="pre">15,</span> <span class="pre">15]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translantion_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scaling_coef</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale_back</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#AffineTransform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.AffineTransform" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Rotation around spatial axes.</p>
-<p>Rotation around each axis is chosen randomly from given interval in angle_limit. If a float X is given instead of
-for given axis then it becomes interval [-X, X]. If scaling_coef is used, it should be list with length equal 3.
-For closer clook at the interpolation, border_mode, ival and mval take a look at the scipy.ndimage.affine_transform.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>angle_limit</strong> (<em>List</em><em>[</em><em>Tuple</em><em>[</em><em>float</em><em>] </em><em>| </em><em>float</em><em>]</em><em>, </em><em>optional</em>) – Contains intervals in degrees from which angle of rotation is
-chosen, for corresponding axis. Defaults to [(-15, 15),(-15, 15),(-15, 15)].</p></li>
-<li><p><strong>translantion_limit</strong> (<em>List</em><em>[</em><em>Tuple</em><em>[</em><em>int</em><em>]</em><em>, </em><em>| </em><em>int</em><em>] </em><em>| </em><em>None</em><em>, </em><em>optional</em>) – List of length equal to the number of axes -1
-(minus channel), each element controls translation in this axis. This list consists of intervals,
-from which, it is then randomly chosen the translation vector. Defaults to None.</p></li>
-<li><p><strong>scaling_coef</strong> (<em>List</em><em>[</em><em>float</em><em>] </em><em>| </em><em>None</em><em>, </em><em>optional</em>) – List which contains scaling coefficients to make
-the image data isotropic in spatial dimensions. Length of list needs to be 3(number of spatial axes)
-as only spatial dimensions are scaled. If scaling_coef is set to None, there is no scalling.
-Recommended for anisotropic data and if one of spatial axis have significantly lower amount of
-samples. Defaults to None.</p></li>
-<li><p><strong>scale_back</strong> (<em>bool</em><em>, </em><em>optional</em>) – If scaling_coef is not None, then image is scaled back, to be anisotropic. Defaults to True.</p></li>
-<li><p><strong>interpolation</strong> (<em>Int</em><em>, </em><em>optional</em>) – The order of spline interpolation. Defaults to 1.</p></li>
-<li><p><strong>border_mode</strong> (<em>str</em><em>, </em><em>optional</em>) – The mode parameter determines how the input array is extended beyond its boundaries. Defaults to â€constant’.</p></li>
-<li><p><strong>ival</strong> (<em>float</em><em>, </em><em>optional</em>) – Value to fill past edges of image if mode is â€constant’. Defaults to 0.</p></li>
-<li><p><strong>mval</strong> (<em>float</em><em>, </em><em>optional</em>) – Value to fill past edges of mask if mode is â€constant’. Defaults to 0.</p></li>
-<li><p><strong>ignore_index</strong> (<em>float</em><em> | </em><em>None</em><em>, </em><em>optional</em>) – If ignore_index is float, then transformation of mask is done with
-border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.AffineTransform.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">z</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#AffineTransform.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.AffineTransform.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.AffineTransform.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">z</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translate</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#AffineTransform.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.AffineTransform.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.AffineTransform.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#AffineTransform.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.AffineTransform.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.CenterCrop">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">CenterCrop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#CenterCrop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.CenterCrop" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Crops center region of the input. Size of this crop is given by shape.</p>
-<p>Unlike CenterCrop from Albumentations, this transform pads the input in dimensions
-where the input is smaller than the crop-shape with numpy.pad, for which are border_mode, ival and mval.</p>
-<p><a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.pad.html">https://numpy.org/doc/stable/reference/generated/numpy.pad.html</a></p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>shape</strong> (<em>Tuple</em><em>[</em><em>int</em><em>]</em><em>) </em><em>Final shape of input</em><em>, </em><em>expected without first axis of image</em><em> (</em><em>representing channels</em>) – </p></li>
-<li><p><strong>border_mode</strong> (<em>str</em><em>, </em><em>optional</em>) – border mode used for numpy.pad. Defaults to “reflect”.</p></li>
-<li><p><strong>ival</strong> (<em>Tuple</em><em>[</em><em>float</em><em>]</em><em>, </em><em>optional</em>) – values used for â€constant’ or â€linear_ramp’ for image. Defaults to (0, 0).</p></li>
-<li><p><strong>mval</strong> (<em>Tuple</em><em>[</em><em>float</em><em>]</em><em>, </em><em>optional</em>) – values used for â€constant’ or â€linear_ramp’ for mask. Defaults to (0, 0).</p></li>
-<li><p><strong>ignore_index</strong> (<em>float</em><em> | </em><em>None</em><em>, </em><em>optional</em>) – If ignore_index is float, then transformation of mask is done with
-border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.CenterCrop.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#CenterCrop.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.CenterCrop.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.CenterCrop.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#CenterCrop.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.CenterCrop.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Contiguous">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Contiguous</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Contiguous"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Contiguous" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Contiguous.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Contiguous.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Contiguous.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.ElasticTransform">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">ElasticTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">deformation_limits</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0.25)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_value</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#ElasticTransform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.ElasticTransform" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.ElasticTransform.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigmas</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alphas</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#ElasticTransform.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.ElasticTransform.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.ElasticTransform.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigmas</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alphas</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#ElasticTransform.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.ElasticTransform.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.ElasticTransform.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#ElasticTransform.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.ElasticTransform.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Flip">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Flip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">[1,</span> <span class="pre">2,</span> <span class="pre">3]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Flip"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Flip" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Flips input around specified axes.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>axes</strong> (<em>List</em><em>[</em><em>int</em><em>]</em><em>, </em><em>optional</em>) – List of axes around which is flip done. Defaults to [1,2,3].</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Flip.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axes</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Flip.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Flip.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Flip.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axes</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Flip.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Flip.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Flip.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Flip.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Flip.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Float">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Float"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Float" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Float.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Float.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Float.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GaussianBlur">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">GaussianBlur</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sigma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GaussianBlur"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GaussianBlur" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></p>
-<p>Performs gaussian blur on the image.</p>
-<p>Sigma parameter determines the strength of gaussian blur. There is no blurring between channels.
-By default there is no blurring also on time dimension. If given single number, channels and axes are blurred
-with same strength. If given tuple, blurring is performed with same effect over channels, but on each axis differently.
-If given List, each channel is blurred differently, according to the element inside list.</p>
-<p>For more information about border_mode and cval check scipy.ndimage.gaussian_filter.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>sigma</strong> (<em>float</em><em>, </em><em>Tuple</em><em>(</em><em>float</em><em>)</em><em>, </em><em>List</em><em>[</em><em>Tuple</em><em>(</em><em>float</em><em>) </em><em>| </em><em>float</em><em>] </em><em>, </em><em>optional</em>) – Determines strength of the blurring.
-List must have length equal to the number of channels. Tuple should have same number elements as number of axes - 1. Defaults to 0.8.</p></li>
-<li><p><strong>border_mode</strong> (<em>str</em><em>, </em><em>optional</em>) – The mode parameter determines how the input array is extended beyond its boundaries. Defaults to “reflect”.</p></li>
-<li><p><strong>cval</strong> (<em>float</em><em>, </em><em>optional</em>) – Value to fill past edges of image if mode is â€constant’. Defaults to 0.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GaussianBlur.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GaussianBlur.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GaussianBlur.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GaussianNoise">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">GaussianNoise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.001,</span> <span class="pre">0.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GaussianNoise"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GaussianNoise" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></p>
-<p>Adds gaussian noise to the image.</p>
-<p>Noise is drawn from the normal distribution.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>var_limit</strong> (<em>tuple</em><em>, </em><em>optional</em>) – variance of normal distribution is randomly chosen from this interval. Defaults to (0.001, 0.1).</p></li>
-<li><p><strong>mean</strong> (<em>float</em><em>, </em><em>optional</em>) – mean of normal distribution. Defaults to 0.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GaussianNoise.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gauss</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GaussianNoise.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GaussianNoise.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GaussianNoise.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GaussianNoise.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GaussianNoise.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GridDropout">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">GridDropout</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">ratio</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit_size_min</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">unit_size_max</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">holes_number_x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">holes_number_y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">holes_number_z</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift_x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift_y</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shift_z</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_offset</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fill_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mask_fill_value</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GridDropout"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GridDropout" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GridDropout.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">holes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GridDropout.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GridDropout.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GridDropout.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">holes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GridDropout.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GridDropout.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GridDropout.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GridDropout.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GridDropout.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.GridDropout.get_transform_init_args_names">
-<span class="sig-name descname"><span class="pre">get_transform_init_args_names</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#GridDropout.get_transform_init_args_names"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.GridDropout.get_transform_init_args_names" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.HistogramEqualization">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">HistogramEqualization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#HistogramEqualization"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.HistogramEqualization" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></p>
-<p>Performs equalization of histogram.</p>
-<p>This equalization is done channel-wise, meaning that each channel is equalized separately.
-Images are normalized over both spatial and temporal domains together. The output is in the range [0,1].</p>
-<p>This transformation is performed with <a class="reference external" href="https://scikit-image.org/docs/stable/api/skimage.exposure.html#skimage.exposure.equalize_hist">https://scikit-image.org/docs/stable/api/skimage.exposure.html#skimage.exposure.equalize_hist</a></p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>bins</strong> (<em>int</em><em>, </em><em>optional</em>) – Number of bins for image histogram. Defaults to 256.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.HistogramEqualization.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#HistogramEqualization.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.HistogramEqualization.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Normalize">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Normalize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Normalize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Normalize" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></p>
-<p>Normalize image channels to the given mean and std.</p>
-<p>Normalization is performed channel-wise.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>mean</strong> (<em>float</em><em> | </em><em>List</em><em>[</em><em>float</em><em>]</em><em>, </em><em>optional</em>) – Value of desired mean. If it is list, then it should have
-same length as number of channels, and each value corresponds to the desired mean in respective channel. Defaults to 0.</p></li>
-<li><p><strong>std</strong> (<em>float</em><em> | </em><em>List</em><em>[</em><em>float</em><em>]</em><em>, </em><em>optional</em>) – Value of desired std. If it is list, then it should have
-same length as number of channels, and each value corresponds to the desired std in respective channel. Defaults to 1.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Normalize.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Normalize.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Normalize.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">NormalizeMeanStd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#NormalizeMeanStd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></p>
-<p>Normalization of image by given mean and std.</p>
-<p>For a single channel image normalization is applied by the formula <span class="math notranslate nohighlight">\(img = (img - mean) / std\)</span>.</p>
-<p>If image contains more channels, then for each channel previous formula is used.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>mean</strong> (<em>float</em><em> | </em><em>List</em><em>[</em><em>float</em><em>]</em>) – Mean of image. If there are more channels, then it should be list of means for each channel.</p></li>
-<li><p><strong>std</strong> (<em>float</em><em> | </em><em>List</em><em>[</em><em>float</em><em>]</em>) – Std of image. If there are more channels, then it should be list of stds for each channel.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#NormalizeMeanStd.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.NormalizeMeanStd.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Pad">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Pad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pad_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Sequence</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Sequence</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Pad"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Pad" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Pads the input.</p>
-<p>Input is padded based on pad_size. If pad_size is only one number, all spatial axes are padded on both sides
-with this number. If it is tuple, then it has same behaviour as pad_size except sides are padded with different
-number of pixels. If it is List, then it must have 3 items, which define padding for each spatial dimension
-separately (in either of the ways described above). If the List is shorter, remaining axes are padded with 0.</p>
-<p>For other parameters check <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.pad.html">https://numpy.org/doc/stable/reference/generated/numpy.pad.html</a></p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>pad_size</strong> (<em>int</em><em> | </em><em>Tuple</em><em>[</em><em>int</em><em>] </em><em>| </em><em>List</em><em>[</em><em>int</em><em> | </em><em>Tuple</em><em>[</em><em>int</em><em>]</em><em>]</em>) – Determines number of pixels to be padded. Tuple should be of size 2.
-List should be of size equal to the image axes - 1 (channel axis).</p></li>
-<li><p><strong>border_mode</strong> (<em>str</em><em>, </em><em>optional</em>) – numpy.pad parameter . Defaults to â€constant’.</p></li>
-<li><p><strong>value</strong> (<em>float</em><em> | </em><em>Sequence</em><em>, </em><em>optional</em>) – value for image if needed by chosen border_mode. Defaults to 0.</p></li>
-<li><p><strong>mask_value</strong> (<em>float</em><em> | </em><em>Sequence</em><em>, </em><em>optional</em>) – value for mask if needed by chosen border_mode. Defaults to 0.</p></li>
-<li><p><strong>ignore_index</strong> (<em>float</em><em> | </em><em>None</em><em>, </em><em>optional</em>) – If ignore_index is float, then transformation of mask is done with
-border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Pad.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Pad.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Pad.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Pad.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Pad.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Pad.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomBrightnessContrast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">brightness_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">contrast_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomBrightnessContrast"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></p>
-<p>Randomly change brightness and contrast of the input image.</p>
-<p>Unlike RandomBrightnessContrast from Albumentations, this transform is using
-formula <span class="math notranslate nohighlight">\(f(a) = (c+1) * a + b\)</span>, where c is contrast and b is brightness.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>brightness_limit</strong> (<em>(</em><em>float</em><em>, </em><em>float</em><em>) </em><em>| </em><em>float</em><em>, </em><em>optional</em>) – Interval from which change in brightness is taken.
-If limit is a single float, the interval will be (-limit, limit). If change in brightness is 0,
-brightness won`t change. Defaults to 0.2.</p></li>
-<li><p><strong>contrast_limit</strong> (<em>(</em><em>float</em><em>, </em><em>float</em><em>) </em><em>| </em><em>float</em><em>, </em><em>optional</em>) – Interval from which change in contrast is taken.
-If limit is a single float, the interval will be (-limit, limit). If change in contrast is 0,
-contrast won`t change. Defaults to 0.2.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomBrightnessContrast.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomBrightnessContrast.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.get_transform_init_args_names">
-<span class="sig-name descname"><span class="pre">get_transform_init_args_names</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomBrightnessContrast.get_transform_init_args_names"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomBrightnessContrast.get_transform_init_args_names" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomCrop">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomCrop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomCrop"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomCrop" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Randomly crops region from input. Size of this crop is given by shape.</p>
-<p>Unlike RandomCrop from Albumentations, this transform pads the input in dimensions
-where the input is smaller than the crop-shape with numpy.pad, for which are border_mode, ival and mval.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>shape</strong> (<em>Tuple</em><em>[</em><em>int</em><em>]</em><em>) </em><em>Final shape of input</em><em>, </em><em>expected without first axis of image</em><em> (</em><em>representing channels</em>) – </p></li>
-<li><p><strong>border_mode</strong> (<em>str</em><em>, </em><em>optional</em>) – border mode used for numpy.pad. Defaults to “reflect”.</p></li>
-<li><p><strong>ival</strong> (<em>Tuple</em><em>[</em><em>float</em><em>]</em><em>, </em><em>optional</em>) – values used for â€constant’ or â€linear_ramp’ for image. Defaults to (0, 0).</p></li>
-<li><p><strong>mval</strong> (<em>Tuple</em><em>[</em><em>float</em><em>]</em><em>, </em><em>optional</em>) – values used for â€constant’ or â€linear_ramp’ for mask. Defaults to (0, 0).</p></li>
-<li><p><strong>ignore_index</strong> (<em>float</em><em> | </em><em>None</em><em>, </em><em>optional</em>) – If ignore_index is float, then transformation of mask is done with
-border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomCrop.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">array([0,</span> <span class="pre">0,</span> <span class="pre">0])</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomCrop.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomCrop.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomCrop.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">array([0,</span> <span class="pre">0,</span> <span class="pre">0])</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomCrop.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomCrop.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomCrop.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomCrop.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomCrop.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomDropPlane">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomDropPlane</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">plane_drop_prob</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0,)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomDropPlane"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomDropPlane" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Randomly drop some planes in axis randomly chosen from â€axes’ input array.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>plane_drop_prob</strong> (<em>float</em>) – float value in (0.0, 1.0) range. Default: 0.1</p></li>
-<li><p><strong>axes</strong> (<em>tuple</em>) – 0</p></li>
-<li><p><strong>p</strong> (<em>float</em>) – probability of applying the transform. Default: 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>uint8, float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomDropPlane.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">indexes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomDropPlane.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomDropPlane.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">indexes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomDropPlane.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomDropPlane.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomDropPlane.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomDropPlane.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomFlip">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomFlip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes_to_choose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomFlip"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomFlip" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Flips a input around a tuple of axes randomly chosen from the input list of axis combinations.</p>
-<p>If axes_to_choose to choose is None, random subset of spatial axes is chosen.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>axes_to_choose</strong> (<em>List</em><em>[</em><em>Tuple</em><em>[</em><em>int</em><em>]</em><em>] or </em><em>None</em><em>, </em><em>optional</em>) – Randomly chooses tuple of axes from list around
-which to flip input. If None then a random subset of spatial axes is chosen. Defaults to None.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomFlip.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axes</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomFlip.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomFlip.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomFlip.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axes</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomFlip.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomFlip.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomFlip.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomFlip.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomFlip.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomGamma">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomGamma</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gamma_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.8,</span> <span class="pre">1.2)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomGamma"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomGamma" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></p>
-<p>Performs gamma transform with a randomly selected gamma.</p>
-<p>Gamma is randomly selected from interval given by gamma_limit. If the values in image are not in [0,1] interval
-then this transformation is skipped.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>gamma_limit</strong> (<em>Tuple</em><em>(</em><em>float</em><em>)</em><em>, </em><em>optional</em>) – Interval from which gamma is selected. Defaults to (0.8, 1.20).</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomGamma.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gamma</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomGamma.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomGamma.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomGamma.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomGamma.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomGamma.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomGamma.get_transform_init_args_names">
-<span class="sig-name descname"><span class="pre">get_transform_init_args_names</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomGamma.get_transform_init_args_names"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomGamma.get_transform_init_args_names" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomGaussianBlur</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_sigma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_of_interval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomGaussianBlur"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></p>
-<p>Performs gaussian blur on the image with a random strength blurring.</p>
-<p>Behaves similarly to GaussianBlur, sigma has same format, but each number in sigma creates
-interval [start_of_interval, sigma_number], from which random number is chosen.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>sigma</strong> (<em>float</em><em>, </em><em>Tuple</em><em>(</em><em>float</em><em>)</em><em>, </em><em>List</em><em>[</em><em>Tuple</em><em>(</em><em>float</em><em>) </em><em>| </em><em>float</em><em>, </em><em>optional</em>) – Determines end of interval from which strength of blurring is chosen. Defaults to 0.8.</p></li>
-<li><p><strong>start_of_interval</strong> (<em>float</em><em>, </em><em>optional</em>) – Determines start of interval from which strength of blurring is chosen. Defaults to 0.</p></li>
-<li><p><strong>border_mode</strong> (<em>str</em><em>, </em><em>optional</em>) – The mode parameter determines how the input array is extended beyond its boundaries. Defaults to “reflect”.</p></li>
-<li><p><strong>cval</strong> (<em>float</em><em>, </em><em>optional</em>) – Value to fill past edges of image if mode is â€constant’. Defaults to 0.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomGaussianBlur.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomGaussianBlur.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomGaussianBlur.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomRotate90">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomRotate90</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">[1,</span> <span class="pre">2,</span> <span class="pre">3]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle_axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomRotate90"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomRotate90" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Rotation of input by 0/90/180/270 degrees in spatial dimensions.</p>
-<p>Input is being rotated around the specified axes. For example if axes = [3,2],
-then input is rotated around 3 axis (1 and 2 axes are changing)
-and afterwards it is rotated around 2 axis(1 and 3 axes are changing).</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>axes</strong> (<em>List</em><em>[</em><em>int</em><em>]</em><em>, </em><em>optional</em>) – list of axes around which input is rotated and also determines
-order if shuffle_axis is false. Ignoring axes which are not in this list [1,2,3].
-Number in axes do not need to be unique. Defaults to [1, 2, 3].</p></li>
-<li><p><strong>shuffle_axis</strong> (<em>bool</em><em>, </em><em>optional</em>) – If set to True, order of rotations is random. Defaults to False.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomRotate90.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rotation_around</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">factor</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomRotate90.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomRotate90.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomRotate90.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">rotation_around</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">factor</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomRotate90.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomRotate90.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomRotate90.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomRotate90.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomRotate90.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomScale">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomScale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scale_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.9,</span> <span class="pre">1.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomScale"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomScale" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Randomly rescale input by the given scale.</p>
-<p>Under the hood, <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.zoom.html">https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.zoom.html</a> is being used.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>scale_limit</strong> (<em>float</em><em> | </em><em>Tuple</em><em>[</em><em>float</em><em>] </em><em>| </em><em>List</em><em>[</em><em>Tuple</em><em>[</em><em>float</em><em>]</em><em>]</em><em>, </em><em>optional</em>) – Value by which the input should be scaled.
-If there is single value, then all spatial dimensions are scaled by it.
-If input is tuple, it creates interval from which the single value for scaling will be chosen.
-If input is list it should have length of number axes of input - 1 (- channel dimension) and
-contains tuple of 2 elements. All dimensions except for channel one
-are scaled by the number from the interval given by tuple. If there is one less dimensions then
-last dimension(time) is not scaled. Defaults to (0.9, 1.1).</p></li>
-<li><p><strong>interpolation</strong> (<em>int</em><em>, </em><em>optional</em>) – order of spline interpolation for image. Defaults to 1.</p></li>
-<li><p><strong>border_mode</strong> (<em>str</em><em>, </em><em>optional</em>) – points outside image are filled according to the this mode.. Defaults to â€reflect’.</p></li>
-<li><p><strong>ival</strong> (<em>float</em><em>, </em><em>optional</em>) – value outside of image when the border_mode is chosen to be “constant”. Defaults to 0.</p></li>
-<li><p><strong>mval</strong> (<em>float</em><em>, </em><em>optional</em>) – value outside of mask when the border_mode is chosen to be “constant”. Defaults to 0.</p></li>
-<li><p><strong>ignore_index</strong> (<em>float</em><em> | </em><em>None</em><em>, </em><em>optional</em>) – If ignore_index is float, then transformation of mask is done with
-border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 0.5.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomScale.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomScale.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomScale.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomScale.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomScale.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomScale.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.RandomScale.get_params">
-<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#RandomScale.get_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.RandomScale.get_params" title="Permalink to this definition">ď</a></dt>
-<dd><p>shared parameters for one apply. (usually random values)</p>
-</dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Resize">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Resize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anti_aliasing_downsample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Resize"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Resize" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Resize input to the given shape.</p>
-<p>Resize input using skimage resize function. Shape is expected without channel dimensions. If there is one less dimension,
-than expected then size of last dimension(time) is unchanged. Interpolation, border_mode, ival, mval and anti_aliasing_downsample
-are arguments for <a class="reference external" href="https://scikit-image.org/docs/stable/api/skimage.transform.html#skimage.transform.resize">https://scikit-image.org/docs/stable/api/skimage.transform.html#skimage.transform.resize</a></p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>shape</strong> (<em>tuple of ints</em>) – shape of desired image without channel dimension. If inputed with one less dimensions,
-it is expected that it is time dimensions and is copied from image.</p></li>
-<li><p><strong>interpolation</strong> (<em>int</em><em>, </em><em>optional</em>) – order of spline interpolation for image. Defaults to 1.</p></li>
-<li><p><strong>border_mode</strong> (<em>string</em><em>, </em><em>optional</em>) – points outside image are filled according to the this mode. Defaults to â€reflect’.</p></li>
-<li><p><strong>ival</strong> (<em>float</em><em>, </em><em>optional</em>) – value outside of image when the border_mode is chosen to be “constant”. Defaults to 0.</p></li>
-<li><p><strong>mval</strong> (<em>float</em><em>, </em><em>optional</em>) – value outside of mask when the border_mode is chosen to be “constant”. Defaults to 0.</p></li>
-<li><p><strong>anti_aliasing_downsample</strong> (<em>bool</em><em>, </em><em>optional</em>) – controls if the gaussian filter should be used on image before downsampling, recommended. Defaults to True.</p></li>
-<li><p><strong>ignore_index</strong> (<em>float</em><em> | </em><em>None</em><em>, </em><em>optional</em>) – If ignore_index is float, then transformation of mask is done with
-border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Resize.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Resize.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Resize.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Resize.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Resize.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Resize.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Scale">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">volumentations_biomedicine.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Scale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scale_factor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Union</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Scale"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Scale" title="Permalink to this definition">ď</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></p>
-<p>Rescale input by the given scale.</p>
-<p>Rescaling is done by function zoom from scipy. If scale_factor is float, spatial dimensions are scaled by this number.
-If it is list, then it is expected without channel dimensions. If there is one less dimension, than expected then size of last dimensions(time) is unchanged.
-Check <a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.zoom.html">https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.zoom.html</a> for additional arguments.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><ul class="simple">
-<li><p><strong>scale_factor</strong> (<em>float</em><em>|</em><em>List</em><em>[</em><em>float</em><em>]</em><em>, </em><em>optional</em>) – Value by which the input should be scaled. If
-there is single value, then all spatial dimensions are scaled by it. If
-input is list then all dimensions except for channel one are scaled by it. If
-there is one less dimensions then last dimension(time) is not scaled. Defaults to 1.</p></li>
-<li><p><strong>interpolation</strong> (<em>int</em><em>, </em><em>optional</em>) – order of spline interpolation for image.. Defaults to 1.</p></li>
-<li><p><strong>border_mode</strong> (<em>str</em><em>, </em><em>optional</em>) – points outside image are filled according to the this mode. Defaults to â€reflect’.</p></li>
-<li><p><strong>ival</strong> (<em>float</em><em>, </em><em>optional</em>) – value outside of image when the border_mode is chosen to be “constant”. Defaults to 0.</p></li>
-<li><p><strong>mval</strong> (<em>float</em><em>, </em><em>optional</em>) – value outside of mask when the border_mode is chosen to be “constant”. Defaults to 0.</p></li>
-<li><p><strong>ignore_index</strong> (<em>float</em><em> | </em><em>None</em><em>, </em><em>optional</em>) – If ignore_index is float, then transformation of mask is done with
-border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing. Defaults to None.</p></li>
-<li><p><strong>always_apply</strong> (<em>bool</em><em>, </em><em>optional</em>) – always apply transformation in composition. Defaults to False.</p></li>
-<li><p><strong>p</strong> (<em>float</em><em>, </em><em>optional</em>) – chance of applying transformation in composition. Defaults to 1.</p></li>
-</ul>
-</dd>
-</dl>
-<dl class="simple">
-<dt>Targets:</dt><dd><p>image, mask</p>
-</dd>
-<dt>Image types:</dt><dd><p>float32</p>
-</dd>
-</dl>
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Scale.apply">
-<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Scale.apply"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Scale.apply" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="volumentations_biomedicine.augmentations.transforms.Scale.apply_to_mask">
-<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/volumentations_biomedicine/augmentations/transforms.html#Scale.apply_to_mask"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#volumentations_biomedicine.augmentations.transforms.Scale.apply_to_mask" title="Permalink to this definition">ď</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-</section>
-
-
- </div>
- </div>
- <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
- <a href="index.html" class="btn btn-neutral float-left" title="Welcome to volumentations_biomedicine’s documentation!" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
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-config: e2ef25c723cbd56fba89c0e0595fdd94
+config: 259d1a6b6b8a99ef277a6938092aa9d3
tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/build/html/_sources/bio_volumentations.augmentations.rst.txt b/docs/build/html/_sources/bio_volumentations.augmentations.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bb44c83b70a02c63898898088642a09e8d57f524
--- /dev/null
+++ b/docs/build/html/_sources/bio_volumentations.augmentations.rst.txt
@@ -0,0 +1,11 @@
+bio\_volumentations.augmentations package
+=========================================
+
+bio\_volumentations.augmentations.transforms module
+---------------------------------------------------
+
+.. automodule:: bio_volumentations.augmentations.transforms
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
diff --git a/docs/build/html/_sources/bio_volumentations.conversion.rst.txt b/docs/build/html/_sources/bio_volumentations.conversion.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..09c05df200669e254afd5ec978fbffbd2fd04959
--- /dev/null
+++ b/docs/build/html/_sources/bio_volumentations.conversion.rst.txt
@@ -0,0 +1,10 @@
+bio\_volumentations.conversion package
+======================================
+
+bio\_volumentations.conversion.transforms module
+------------------------------------------------
+
+.. automodule:: bio_volumentations.conversion.transforms
+ :members:
+ :undoc-members:
+ :show-inheritance:
diff --git a/docs/build/html/_sources/bio_volumentations.core.rst.txt b/docs/build/html/_sources/bio_volumentations.core.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3b87341ad6e0e006a5fef75bfb458ff26133cf6d
--- /dev/null
+++ b/docs/build/html/_sources/bio_volumentations.core.rst.txt
@@ -0,0 +1,18 @@
+bio\_volumentations.core package
+================================
+
+bio\_volumentations.core.composition module
+-------------------------------------------
+
+.. automodule:: bio_volumentations.core.composition
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+bio\_volumentations.core.transforms\_interface module
+-----------------------------------------------------
+
+.. automodule:: bio_volumentations.core.transforms_interface
+ :members:
+ :undoc-members:
+ :show-inheritance:
diff --git a/docs/build/html/_sources/bio_volumentations.rst.txt b/docs/build/html/_sources/bio_volumentations.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0e9b31b360685b2d70a1d887cb5b97308bc797c5
--- /dev/null
+++ b/docs/build/html/_sources/bio_volumentations.rst.txt
@@ -0,0 +1,12 @@
+bio\_volumentations package
+===========================
+
+Subpackages
+-----------
+
+.. toctree::
+ :maxdepth: 4
+
+ bio_volumentations.augmentations
+ bio_volumentations.conversion
+ bio_volumentations.core
diff --git a/docs/build/html/_sources/contributions.rst.txt b/docs/build/html/_sources/contributions.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..b616570d3edd3eb3cbcdb76703c87553b2a07ee4
--- /dev/null
+++ b/docs/build/html/_sources/contributions.rst.txt
@@ -0,0 +1,41 @@
+Copyright
+=========
+
+Copyright
+*********
+Copyright (c) 2024 Lucia Hradecká, Filip Lux
+
+The `Bio-Volumentations` library is distributed under the MIT License.
+For more details, see `the licence file at GitLab <https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/blob/v1-1-0/LICENSE?ref_type=heads>`_.
+
+
+Contributions
+*************
+
+Authors of the `Bio-Volumentations` library are:
+
+- Samuel Ĺ uÄľan
+- Lucia Hradecká: lucia.d.hradecka@gmail.com
+- Filip Lux: lux.filip@gmail.com
+
+The `Bio-Volumentations` library is based on the following image augmentation libraries:
+
+- `Albumentations <https://github.com/albumentations-team/albumentations>`_
+- `3D Conversion <https://github.com/ashawkey/volumentations>`_
+- `Continued Development <https://github.com/ZFTurbo/volumentations>`_
+- `Enhancements <https://github.com/qubvel/volumentations>`_
+- `Further Enhancements <https://github.com/muellerdo/volumentations>`_
+
+We would thus like to thank their authors, namely:
+
+- `The Albumentations team <https://github.com/albumentations-team>`_
+- `Pavel Iakubovskii <https://github.com/qubvel>`_
+- `ZFTurbo <https://github.com/ZFTurbo>`_
+- `ashawkey <https://github.com/ashawkey>`_
+- `Dominik MĂĽller <https://github.com/muellerdo>`_
+
+
+Citation
+********
+
+TBA
diff --git a/docs/build/html/_sources/examples.rst.txt b/docs/build/html/_sources/examples.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..7297df988af261fb196c1536e8d1f99665598b11
--- /dev/null
+++ b/docs/build/html/_sources/examples.rst.txt
@@ -0,0 +1,148 @@
+Getting Started
+===============
+
+Installation
+************
+You can install the library from PyPi using ``pip install bio-volumentations``.
+
+Importing
+*********
+Import the library to your project using ``import bio_volumentations as biovol``.
+
+How to Use the Library?
+***********************
+
+The Bio-Volumentations library processes 3D, 4D, and 5D images. Each image must be
+represented as :class:`numpy.ndarray` and must conform to the following conventions:
+
+- The order of dimensions is [C, Z, Y, X, T], where C is the channel dimension, T is the time dimension, and Z, Y, and X are the spatial dimensions.
+- The three spatial dimensions (Z, Y, X) are compulsory.
+- The channel (C) dimension is optional. If it is not present, the library will automatically create a dummy dimension in its place and output an image of shape (1, Z, Y, X).
+- The time (T) dimension is optional and can only be present if the channel (C) dimension is also present.
+
+Thus, the input images can have these shapes:
+
+- [Z, Y, X] (a single-channel volumetric image)
+- [C, Z, Y, X] (a multi-channel volumetric image)
+- [C, Z, Y, X, T] (a single-channel as well as multi-channel volumetric image sequence)
+
+**It is strongly recommended to use** :class:`Compose` **to create and use transformations.**
+The :class:`Compose` class automatically checks and adjusts image format, datatype, stacks
+individual transforms to a pipeline, and outputs the image as a contiguous array.
+Optionally, it can also convert the transformed image to a desired format.
+
+Below, there are several examples of how to use the `Bio-Volumentations` library.
+
+Example: Transforming a Single Image
+************************************
+.. code-block:: python
+
+ import numpy as np
+ from bio_volumentations import Compose, RandomGamma, RandomRotate90, GaussianBlur
+
+ # Create the transformation using Compose from a list of transformations
+ aug = Compose([
+ RandomGamma(gamma_limit = (0.8, 1,2), p = 0.8),
+ RandomRotate90(axes = [1, 2, 3], p = 1),
+ GaussianBlur(sigma = 1.2, p = 0.8)
+ ])
+
+ # Generate an image
+ img = np.random.rand(1, 128, 256, 256)
+
+ # Transform the image
+ # Notice that the image must be passed as a keyword argument to the transformation pipeline
+ # and extracted from the outputted dictionary.
+ data = {'image': img}
+ aug_data = aug(**data)
+ transformed_img = aug_data['image']
+
+Example: Transforming a Image Pairs
+***********************************
+Sometimes, it is necessary to consistently transform a tuple of corresponding images.
+To that end, Bio-Volumentations define several target types:
+
+- :class:`image` for the image data
+- :class:`mask` for integer-valued label images
+- :class:`float_mask` for real-valued label images
+
+The :class:`mask` and :class:`float_mask` target types are expected to have the same shape as the :class:`image`
+target except for the channel (C) dimension which must not be included.
+For example, for images of shape (150, 300, 300), (1, 150, 300, 300), or
+(4, 150, 300, 300), the corresponding :class:`mask` must be of shape (150, 300, 300).
+If one wants to use a multichannel :class:`mask` or :class:`float_mask`, one has to split it into
+a set of single-channel :class:`mask` s or :class:`float_mask` s, respectively, and input them
+as stand-alone targets (see below).
+
+If a :class:`Random...` transform receives multiple targets on its input in a single call,
+the same random numbers are used to transform all of these targets.
+
+However, some transformations might behave slightly differently for the individual
+target types. For example, :class:`RandomCrop` works in the same way for all target types, while
+:class:`RandomGaussianNoise` only affects the :class:`image` target and leaves the :class:`mask` and
+:class:`float_mask` targets unchanged. Please consult the documentation of respective transforms
+for more details.
+
+.. code-block:: python
+
+ import numpy as np
+ from bio_volumentations import Compose, RandomGamma, RandomRotate90, GaussianBlur
+
+ # Create the transformation using Compose from a list of transformations
+ aug = Compose([
+ RandomGamma(gamma_limit = (0.8, 1,2), p = 0.8),
+ RandomRotate90(axes = [1, 2, 3], p = 1),
+ GaussianBlur(sigma = 1.2, p = 0.8)
+ ])
+
+ # Generate image and a corresponding labeled image
+ img = np.random.rand(1, 128, 256, 256)
+ lbl = np.random.randint(0, 1, size=(128, 256, 256), dtype=np.uint8)
+
+ # Transform the images
+ # Notice that the images must be passed as keyword arguments to the transformation pipeline
+ # and extracted from the outputted dictionary.
+ data = {'image': img, 'mask': lbl}
+ aug_data = aug(**data)
+ transformed_img, transformed_lbl = aug_data['image'], aug_data['mask']
+
+Example: Transforming Multiple Images of the Same Target Type
+*************************************************************
+Although there are only three target types, one input arbitrary number of images to any
+transformation. To achieve this, one has to define the value of the :class:`targets` argument
+when creating a :class:`Compose` object.
+
+The :class:`targets` must be a list with 3 items: a list with names of :class:`image`-type targets,
+a list with names of :class:`mask`-type targets, and
+a list with names of :class:`float_mask`-type targets. The specified names will then be used
+to input the images to the transformation call as well as during extracting the
+transformed images from the outputted dictionary. Please see the code below
+for a practical example.
+
+.. code-block:: python
+
+ import numpy as np
+ from bio_volumentations import Compose, RandomGamma, RandomRotate90, GaussianBlur
+
+ # Create the transformation using Compose from a list of transformations and define targets
+ aug = Compose([
+ RandomGamma( gamma_limit = (0.8, 1,2), p = 0.8),
+ RandomRotate90(axes = [1, 2, 3], p = 1),
+ GaussianBlur(sigma = 1.2, p = 0.8)
+ ],
+ targets= [ ['image' , 'image1'] , ['mask'], ['float_mask'] ])
+
+ # Generate the image data
+ img = np.random.rand(1, 128, 256, 256)
+ img1 = np.random.rand(1, 128, 256, 256)
+ lbl = np.random.randint(0, 1, size=(128, 256, 256), dtype=np.uint8)
+
+ # Transform the images
+ # Notice that the images must be passed as keyword arguments to the transformation pipeline
+ # and extracted from the outputted dictionary.
+ data = {'image': img, 'image1': img1, 'mask': lbl}
+ aug_data = aug(**data)
+ transformed_img = aug_data['image']
+ transformed_img1 = aug_data['image1']
+ transformed_lbl = aug_data['mask']
+
diff --git a/docs/build/html/_sources/index.rst.txt b/docs/build/html/_sources/index.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..52037ba006674f4815cf6ac21ac24921a2a1676f
--- /dev/null
+++ b/docs/build/html/_sources/index.rst.txt
@@ -0,0 +1,30 @@
+.. bio-volumentations documentation master file, created by
+ sphinx-quickstart on Fri Apr 12 08:43:38 2024.
+ You can adapt this file completely to your liking, but it should at least
+ contain the root `toctree` directive.
+
+Welcome to Bio-Volumentations's documentation!
+==============================================
+
+`Bio-Volumentations` is an image augmentation and preprocessing package for 3D, 4D, and 5D biomedical images.
+
+It offers a wide range of transforms for volumetric images, an easy-to-use API, a neat Getting Started guide,
+and can be used to manipulate your image data in any context.
+
+.. toctree::
+ :maxdepth: 2
+ :caption: Contents:
+
+ intro
+ modules2
+ examples
+ contributions
+
+The source codes and more details are also available `here <https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/tree/v1-1-0?ref_type=heads>`_.
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/docs/build/html/_sources/intro.rst.txt b/docs/build/html/_sources/intro.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8a83f675e2ea1728c5f84de10dc9b29f7f92eed0
--- /dev/null
+++ b/docs/build/html/_sources/intro.rst.txt
@@ -0,0 +1,15 @@
+Introduction
+============
+`Bio-Volumentations` is an image augmentation and preprocessing package for 3D, 4D, and 5D biomedical images.
+
+It offers a range of image transformations implemented efficiently for time-lapse multi-channel volumetric image data.
+This includes both preprocessing transformations (such as intensity normalisation, padding, and type casting)
+and augmentation transformations (such as affine transform, noise addition and removal, and contrast manipulation).
+
+The `Bio-Volumentations` library is a suitable tool for data manipulation in machine learning applications.
+Importantly, it can be used with any major Python deep learning library.
+
+This library builds upon wide-spread libraries such as Albumentations (see the Contributions section below)
+in terms of design and user interface. Therefore, it can easily be adopted by users.
+
+The source codes and more details are also available `here <https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/tree/v1-1-0?ref_type=heads>`_.
diff --git a/docs/build/html/_sources/modules.rst.txt b/docs/build/html/_sources/modules.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3aa9c2ac382a7d36a958317561e19889bdedc318
--- /dev/null
+++ b/docs/build/html/_sources/modules.rst.txt
@@ -0,0 +1,7 @@
+bio_volumentations
+==================
+
+.. toctree::
+ :maxdepth: 4
+
+ bio_volumentations
diff --git a/docs/build/html/_sources/modules2.rst.txt b/docs/build/html/_sources/modules2.rst.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2b05031f49a7ec41f66fee31d0d0aa9e3208d89b
--- /dev/null
+++ b/docs/build/html/_sources/modules2.rst.txt
@@ -0,0 +1,35 @@
+Bio-Volumentations Package
+==========================
+
+Transforms Module
+---------------------------------------------------
+
+.. automodule:: bio_volumentations.augmentations.transforms
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+Conversion Module
+------------------------------------------------
+
+.. automodule:: bio_volumentations.conversion.transforms
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+Composition Module
+-------------------------------------------
+
+.. automodule:: bio_volumentations.core.composition
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+Transforms Interface Module
+-----------------------------------------------------
+
+.. automodule:: bio_volumentations.core.transforms_interface
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
diff --git a/docs/_build/html/_static/_sphinx_javascript_frameworks_compat.js b/docs/build/html/_static/_sphinx_javascript_frameworks_compat.js
similarity index 94%
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index 8549469dc29fac0cbf16d10355e3313897cb3752..81415803ec2750c82251e896e7eb7b0ac842dac1 100644
--- a/docs/_build/html/_static/_sphinx_javascript_frameworks_compat.js
+++ b/docs/build/html/_static/_sphinx_javascript_frameworks_compat.js
@@ -1,20 +1,9 @@
-/*
- * _sphinx_javascript_frameworks_compat.js
- * ~~~~~~~~~~
- *
- * Compatability shim for jQuery and underscores.js.
- *
- * WILL BE REMOVED IN Sphinx 6.0
- * xref RemovedInSphinx60Warning
+/* Compatability shim for jQuery and underscores.js.
*
+ * Copyright Sphinx contributors
+ * Released under the two clause BSD licence
*/
-/**
- * select a different prefix for underscore
- */
-$u = _.noConflict();
-
-
/**
* small helper function to urldecode strings
*
diff --git a/docs/_build/html/_static/basic.css b/docs/build/html/_static/basic.css
similarity index 96%
rename from docs/_build/html/_static/basic.css
rename to docs/build/html/_static/basic.css
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--- a/docs/_build/html/_static/basic.css
+++ b/docs/build/html/_static/basic.css
@@ -4,7 +4,7 @@
*
* Sphinx stylesheet -- basic theme.
*
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
@@ -237,6 +237,10 @@ a.headerlink {
visibility: hidden;
}
+a:visited {
+ color: #551A8B;
+}
+
h1:hover > a.headerlink,
h2:hover > a.headerlink,
h3:hover > a.headerlink,
@@ -324,17 +328,17 @@ aside.sidebar {
p.sidebar-title {
font-weight: bold;
}
+
nav.contents,
aside.topic,
-
div.admonition, div.topic, blockquote {
clear: left;
}
/* -- topics ---------------------------------------------------------------- */
+
nav.contents,
aside.topic,
-
div.topic {
border: 1px solid #ccc;
padding: 7px;
@@ -375,7 +379,6 @@ div.sidebar > :last-child,
aside.sidebar > :last-child,
nav.contents > :last-child,
aside.topic > :last-child,
-
div.topic > :last-child,
div.admonition > :last-child {
margin-bottom: 0;
@@ -385,7 +388,6 @@ div.sidebar::after,
aside.sidebar::after,
nav.contents::after,
aside.topic::after,
-
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@@ -611,25 +613,6 @@ ul.simple p {
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}
-/* Docutils 0.17 and older (footnotes & citations) */
-dl.footnote > dt,
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- float: left;
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-dl.footnote > dd,
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- clear: both;
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-
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display: grid;
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@@ -668,10 +649,6 @@ dl.field-list > dt {
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-dl.field-list > dt:after {
- content: ":";
-}
-
dl.field-list > dd {
padding-left: 0.5em;
margin-top: 0em;
@@ -697,6 +674,16 @@ dd {
margin-left: 30px;
}
+.sig dd {
+ margin-top: 0px;
+ margin-bottom: 0px;
+}
+
+.sig dl {
+ margin-top: 0px;
+ margin-bottom: 0px;
+}
+
dl > dd:last-child,
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@@ -765,6 +752,14 @@ abbr, acronym {
cursor: help;
}
+.translated {
+ background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+ background-color: rgba(255, 207, 207, 0.2)
+}
+
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rename from docs/_build/html/_static/css/fonts/lato-bold.woff
rename to docs/build/html/_static/css/fonts/lato-bold.woff
diff --git a/docs/_build/html/_static/css/fonts/lato-bold.woff2 b/docs/build/html/_static/css/fonts/lato-bold.woff2
similarity index 100%
rename from docs/_build/html/_static/css/fonts/lato-bold.woff2
rename to docs/build/html/_static/css/fonts/lato-bold.woff2
diff --git a/docs/_build/html/_static/css/fonts/lato-normal-italic.woff b/docs/build/html/_static/css/fonts/lato-normal-italic.woff
similarity index 100%
rename from docs/_build/html/_static/css/fonts/lato-normal-italic.woff
rename to docs/build/html/_static/css/fonts/lato-normal-italic.woff
diff --git a/docs/_build/html/_static/css/fonts/lato-normal-italic.woff2 b/docs/build/html/_static/css/fonts/lato-normal-italic.woff2
similarity index 100%
rename from docs/_build/html/_static/css/fonts/lato-normal-italic.woff2
rename to docs/build/html/_static/css/fonts/lato-normal-italic.woff2
diff --git a/docs/_build/html/_static/css/fonts/lato-normal.woff b/docs/build/html/_static/css/fonts/lato-normal.woff
similarity index 100%
rename from docs/_build/html/_static/css/fonts/lato-normal.woff
rename to docs/build/html/_static/css/fonts/lato-normal.woff
diff --git a/docs/_build/html/_static/css/fonts/lato-normal.woff2 b/docs/build/html/_static/css/fonts/lato-normal.woff2
similarity index 100%
rename from docs/_build/html/_static/css/fonts/lato-normal.woff2
rename to docs/build/html/_static/css/fonts/lato-normal.woff2
diff --git a/docs/_build/html/_static/css/theme.css b/docs/build/html/_static/css/theme.css
similarity index 100%
rename from docs/_build/html/_static/css/theme.css
rename to docs/build/html/_static/css/theme.css
diff --git a/docs/_build/html/_static/doctools.js b/docs/build/html/_static/doctools.js
similarity index 50%
rename from docs/_build/html/_static/doctools.js
rename to docs/build/html/_static/doctools.js
index c3db08d1c3896f616576ba6e6b96dc80fcfc50b9..d06a71d7518041301a303697d2a3c372648eb7bf 100644
--- a/docs/_build/html/_static/doctools.js
+++ b/docs/build/html/_static/doctools.js
@@ -4,12 +4,19 @@
*
* Base JavaScript utilities for all Sphinx HTML documentation.
*
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
"use strict";
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+ "TEXTAREA",
+ "INPUT",
+ "SELECT",
+ "BUTTON",
+]);
+
const _ready = (callback) => {
if (document.readyState !== "loading") {
callback();
@@ -18,73 +25,11 @@ const _ready = (callback) => {
}
};
-/**
- * highlight a given string on a node by wrapping it in
- * span elements with the given class name.
- */
-const _highlight = (node, addItems, text, className) => {
- if (node.nodeType === Node.TEXT_NODE) {
- const val = node.nodeValue;
- const parent = node.parentNode;
- const pos = val.toLowerCase().indexOf(text);
- if (
- pos >= 0 &&
- !parent.classList.contains(className) &&
- !parent.classList.contains("nohighlight")
- ) {
- let span;
-
- const closestNode = parent.closest("body, svg, foreignObject");
- const isInSVG = closestNode && closestNode.matches("svg");
- if (isInSVG) {
- span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
- } else {
- span = document.createElement("span");
- span.classList.add(className);
- }
-
- span.appendChild(document.createTextNode(val.substr(pos, text.length)));
- parent.insertBefore(
- span,
- parent.insertBefore(
- document.createTextNode(val.substr(pos + text.length)),
- node.nextSibling
- )
- );
- node.nodeValue = val.substr(0, pos);
-
- if (isInSVG) {
- const rect = document.createElementNS(
- "http://www.w3.org/2000/svg",
- "rect"
- );
- const bbox = parent.getBBox();
- rect.x.baseVal.value = bbox.x;
- rect.y.baseVal.value = bbox.y;
- rect.width.baseVal.value = bbox.width;
- rect.height.baseVal.value = bbox.height;
- rect.setAttribute("class", className);
- addItems.push({ parent: parent, target: rect });
- }
- }
- } else if (node.matches && !node.matches("button, select, textarea")) {
- node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
- }
-};
-const _highlightText = (thisNode, text, className) => {
- let addItems = [];
- _highlight(thisNode, addItems, text, className);
- addItems.forEach((obj) =>
- obj.parent.insertAdjacentElement("beforebegin", obj.target)
- );
-};
-
/**
* Small JavaScript module for the documentation.
*/
const Documentation = {
init: () => {
- Documentation.highlightSearchWords();
Documentation.initDomainIndexTable();
Documentation.initOnKeyListeners();
},
@@ -126,51 +71,6 @@ const Documentation = {
Documentation.LOCALE = catalog.locale;
},
- /**
- * highlight the search words provided in the url in the text
- */
- highlightSearchWords: () => {
- const highlight =
- new URLSearchParams(window.location.search).get("highlight") || "";
- const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
- if (terms.length === 0) return; // nothing to do
-
- // There should never be more than one element matching "div.body"
- const divBody = document.querySelectorAll("div.body");
- const body = divBody.length ? divBody[0] : document.querySelector("body");
- window.setTimeout(() => {
- terms.forEach((term) => _highlightText(body, term, "highlighted"));
- }, 10);
-
- const searchBox = document.getElementById("searchbox");
- if (searchBox === null) return;
- searchBox.appendChild(
- document
- .createRange()
- .createContextualFragment(
- '<p class="highlight-link">' +
- '<a href="javascript:Documentation.hideSearchWords()">' +
- Documentation.gettext("Hide Search Matches") +
- "</a></p>"
- )
- );
- },
-
- /**
- * helper function to hide the search marks again
- */
- hideSearchWords: () => {
- document
- .querySelectorAll("#searchbox .highlight-link")
- .forEach((el) => el.remove());
- document
- .querySelectorAll("span.highlighted")
- .forEach((el) => el.classList.remove("highlighted"));
- const url = new URL(window.location);
- url.searchParams.delete("highlight");
- window.history.replaceState({}, "", url);
- },
-
/**
* helper function to focus on search bar
*/
@@ -210,15 +110,11 @@ const Documentation = {
)
return;
- const blacklistedElements = new Set([
- "TEXTAREA",
- "INPUT",
- "SELECT",
- "BUTTON",
- ]);
document.addEventListener("keydown", (event) => {
- if (blacklistedElements.has(document.activeElement.tagName)) return; // bail for input elements
- if (event.altKey || event.ctrlKey || event.metaKey) return; // bail with special keys
+ // bail for input elements
+ if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+ // bail with special keys
+ if (event.altKey || event.ctrlKey || event.metaKey) return;
if (!event.shiftKey) {
switch (event.key) {
@@ -240,10 +136,6 @@ const Documentation = {
event.preventDefault();
}
break;
- case "Escape":
- if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
- Documentation.hideSearchWords();
- event.preventDefault();
}
}
diff --git a/docs/_build/html/_static/documentation_options.js b/docs/build/html/_static/documentation_options.js
similarity index 57%
rename from docs/_build/html/_static/documentation_options.js
rename to docs/build/html/_static/documentation_options.js
index a750e4d5eefe934637d6f14b3647b6b084f924a5..c891ba623e044eaaa37de7cf3c9a7b5ed13bf6bd 100644
--- a/docs/_build/html/_static/documentation_options.js
+++ b/docs/build/html/_static/documentation_options.js
@@ -1,6 +1,5 @@
-var DOCUMENTATION_OPTIONS = {
- URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
- VERSION: '',
+const DOCUMENTATION_OPTIONS = {
+ VERSION: '1.1.0',
LANGUAGE: 'en',
COLLAPSE_INDEX: false,
BUILDER: 'html',
@@ -10,5 +9,5 @@ var DOCUMENTATION_OPTIONS = {
SOURCELINK_SUFFIX: '.txt',
NAVIGATION_WITH_KEYS: false,
SHOW_SEARCH_SUMMARY: true,
- ENABLE_SEARCH_SHORTCUTS: false,
+ ENABLE_SEARCH_SHORTCUTS: true,
};
\ No newline at end of file
diff --git a/docs/_build/html/_static/file.png b/docs/build/html/_static/file.png
similarity index 100%
rename from docs/_build/html/_static/file.png
rename to docs/build/html/_static/file.png
diff --git a/docs/_build/html/_static/jquery.js b/docs/build/html/_static/jquery.js
similarity index 100%
rename from docs/_build/html/_static/jquery.js
rename to docs/build/html/_static/jquery.js
diff --git a/docs/_build/html/_static/js/badge_only.js b/docs/build/html/_static/js/badge_only.js
similarity index 100%
rename from docs/_build/html/_static/js/badge_only.js
rename to docs/build/html/_static/js/badge_only.js
diff --git a/docs/_build/html/_static/js/html5shiv-printshiv.min.js b/docs/build/html/_static/js/html5shiv-printshiv.min.js
similarity index 100%
rename from docs/_build/html/_static/js/html5shiv-printshiv.min.js
rename to docs/build/html/_static/js/html5shiv-printshiv.min.js
diff --git a/docs/_build/html/_static/js/html5shiv.min.js b/docs/build/html/_static/js/html5shiv.min.js
similarity index 100%
rename from docs/_build/html/_static/js/html5shiv.min.js
rename to docs/build/html/_static/js/html5shiv.min.js
diff --git a/docs/_build/html/_static/js/theme.js b/docs/build/html/_static/js/theme.js
similarity index 100%
rename from docs/_build/html/_static/js/theme.js
rename to docs/build/html/_static/js/theme.js
diff --git a/docs/_build/html/_static/language_data.js b/docs/build/html/_static/language_data.js
similarity index 98%
rename from docs/_build/html/_static/language_data.js
rename to docs/build/html/_static/language_data.js
index 2e22b06ab13bec689de4d1530b8b625bc6d69ae8..250f5665fa64b70c822190199b3b804b10f8b9d8 100644
--- a/docs/_build/html/_static/language_data.js
+++ b/docs/build/html/_static/language_data.js
@@ -5,7 +5,7 @@
* This script contains the language-specific data used by searchtools.js,
* namely the list of stopwords, stemmer, scorer and splitter.
*
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
diff --git a/docs/_build/html/_static/minus.png b/docs/build/html/_static/minus.png
similarity index 100%
rename from docs/_build/html/_static/minus.png
rename to docs/build/html/_static/minus.png
diff --git a/docs/_build/html/_static/plus.png b/docs/build/html/_static/plus.png
similarity index 100%
rename from docs/_build/html/_static/plus.png
rename to docs/build/html/_static/plus.png
diff --git a/docs/_build/html/_static/pygments.css b/docs/build/html/_static/pygments.css
similarity index 98%
rename from docs/_build/html/_static/pygments.css
rename to docs/build/html/_static/pygments.css
index 08bec689d3306e6c13d1973f61a01bee9a307e87..84ab3030a9329e5598877502bfa7f8a999af8535 100644
--- a/docs/_build/html/_static/pygments.css
+++ b/docs/build/html/_static/pygments.css
@@ -17,6 +17,7 @@ span.linenos.special { color: #000000; background-color: #ffffc0; padding-left:
.highlight .cs { color: #3D7B7B; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
+.highlight .ges { font-weight: bold; font-style: italic } /* Generic.EmphStrong */
.highlight .gr { color: #E40000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #008400 } /* Generic.Inserted */
diff --git a/docs/_build/html/_static/searchtools.js b/docs/build/html/_static/searchtools.js
similarity index 82%
rename from docs/_build/html/_static/searchtools.js
rename to docs/build/html/_static/searchtools.js
index ac4d5861f95f5c6161b846522d572532725aa275..7918c3fab3116026a6626a50bdc8966abc24b0b3 100644
--- a/docs/_build/html/_static/searchtools.js
+++ b/docs/build/html/_static/searchtools.js
@@ -4,7 +4,7 @@
*
* Sphinx JavaScript utilities for the full-text search.
*
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
* :license: BSD, see LICENSE for details.
*
*/
@@ -57,14 +57,14 @@ const _removeChildren = (element) => {
const _escapeRegExp = (string) =>
string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
-const _displayItem = (item, highlightTerms, searchTerms) => {
+const _displayItem = (item, searchTerms, highlightTerms) => {
const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
- const docUrlRoot = DOCUMENTATION_OPTIONS.URL_ROOT;
const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+ const contentRoot = document.documentElement.dataset.content_root;
- const [docName, title, anchor, descr] = item;
+ const [docName, title, anchor, descr, score, _filename] = item;
let listItem = document.createElement("li");
let requestUrl;
@@ -75,29 +75,35 @@ const _displayItem = (item, highlightTerms, searchTerms) => {
if (dirname.match(/\/index\/$/))
dirname = dirname.substring(0, dirname.length - 6);
else if (dirname === "index/") dirname = "";
- requestUrl = docUrlRoot + dirname;
+ requestUrl = contentRoot + dirname;
linkUrl = requestUrl;
} else {
// normal html builders
- requestUrl = docUrlRoot + docName + docFileSuffix;
+ requestUrl = contentRoot + docName + docFileSuffix;
linkUrl = docName + docLinkSuffix;
}
- const params = new URLSearchParams();
- params.set("highlight", [...highlightTerms].join(" "));
let linkEl = listItem.appendChild(document.createElement("a"));
- linkEl.href = linkUrl + "?" + params.toString() + anchor;
+ linkEl.href = linkUrl + anchor;
+ linkEl.dataset.score = score;
linkEl.innerHTML = title;
- if (descr)
- listItem.appendChild(document.createElement("span")).innerText =
+ if (descr) {
+ listItem.appendChild(document.createElement("span")).innerHTML =
" (" + descr + ")";
+ // highlight search terms in the description
+ if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js
+ highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+ }
else if (showSearchSummary)
fetch(requestUrl)
.then((responseData) => responseData.text())
.then((data) => {
if (data)
listItem.appendChild(
- Search.makeSearchSummary(data, searchTerms, highlightTerms)
+ Search.makeSearchSummary(data, searchTerms)
);
+ // highlight search terms in the summary
+ if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js
+ highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
});
Search.output.appendChild(listItem);
};
@@ -116,15 +122,15 @@ const _finishSearch = (resultCount) => {
const _displayNextItem = (
results,
resultCount,
+ searchTerms,
highlightTerms,
- searchTerms
) => {
// results left, load the summary and display it
// this is intended to be dynamic (don't sub resultsCount)
if (results.length) {
- _displayItem(results.pop(), highlightTerms, searchTerms);
+ _displayItem(results.pop(), searchTerms, highlightTerms);
setTimeout(
- () => _displayNextItem(results, resultCount, highlightTerms, searchTerms),
+ () => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
5
);
}
@@ -155,10 +161,8 @@ const Search = {
_pulse_status: -1,
htmlToText: (htmlString) => {
- const htmlElement = document
- .createRange()
- .createContextualFragment(htmlString);
- _removeChildren(htmlElement.querySelectorAll(".headerlink"));
+ const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+ htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() });
const docContent = htmlElement.querySelector('[role="main"]');
if (docContent !== undefined) return docContent.textContent;
console.warn(
@@ -239,6 +243,12 @@ const Search = {
* execute search (requires search index to be loaded)
*/
query: (query) => {
+ const filenames = Search._index.filenames;
+ const docNames = Search._index.docnames;
+ const titles = Search._index.titles;
+ const allTitles = Search._index.alltitles;
+ const indexEntries = Search._index.indexentries;
+
// stem the search terms and add them to the correct list
const stemmer = new Stemmer();
const searchTerms = new Set();
@@ -266,6 +276,10 @@ const Search = {
}
});
+ if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js
+ localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+ }
+
// console.debug("SEARCH: searching for:");
// console.info("required: ", [...searchTerms]);
// console.info("excluded: ", [...excludedTerms]);
@@ -274,6 +288,40 @@ const Search = {
let results = [];
_removeChildren(document.getElementById("search-progress"));
+ const queryLower = query.toLowerCase();
+ for (const [title, foundTitles] of Object.entries(allTitles)) {
+ if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) {
+ for (const [file, id] of foundTitles) {
+ let score = Math.round(100 * queryLower.length / title.length)
+ results.push([
+ docNames[file],
+ titles[file] !== title ? `${titles[file]} > ${title}` : title,
+ id !== null ? "#" + id : "",
+ null,
+ score,
+ filenames[file],
+ ]);
+ }
+ }
+ }
+
+ // search for explicit entries in index directives
+ for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+ if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+ for (const [file, id] of foundEntries) {
+ let score = Math.round(100 * queryLower.length / entry.length)
+ results.push([
+ docNames[file],
+ titles[file],
+ id ? "#" + id : "",
+ null,
+ score,
+ filenames[file],
+ ]);
+ }
+ }
+ }
+
// lookup as object
objectTerms.forEach((term) =>
results.push(...Search.performObjectSearch(term, objectTerms))
@@ -320,7 +368,7 @@ const Search = {
// console.info("search results:", Search.lastresults);
// print the results
- _displayNextItem(results, results.length, highlightTerms, searchTerms);
+ _displayNextItem(results, results.length, searchTerms, highlightTerms);
},
/**
@@ -401,8 +449,8 @@ const Search = {
// prepare search
const terms = Search._index.terms;
const titleTerms = Search._index.titleterms;
- const docNames = Search._index.docnames;
const filenames = Search._index.filenames;
+ const docNames = Search._index.docnames;
const titles = Search._index.titles;
const scoreMap = new Map();
@@ -499,16 +547,15 @@ const Search = {
/**
* helper function to return a node containing the
* search summary for a given text. keywords is a list
- * of stemmed words, highlightWords is the list of normal, unstemmed
- * words. the first one is used to find the occurrence, the
- * latter for highlighting it.
+ * of stemmed words.
*/
- makeSearchSummary: (htmlText, keywords, highlightWords) => {
- const text = Search.htmlToText(htmlText).toLowerCase();
+ makeSearchSummary: (htmlText, keywords) => {
+ const text = Search.htmlToText(htmlText);
if (text === "") return null;
+ const textLower = text.toLowerCase();
const actualStartPosition = [...keywords]
- .map((k) => text.indexOf(k.toLowerCase()))
+ .map((k) => textLower.indexOf(k.toLowerCase()))
.filter((i) => i > -1)
.slice(-1)[0];
const startWithContext = Math.max(actualStartPosition - 120, 0);
@@ -516,13 +563,9 @@ const Search = {
const top = startWithContext === 0 ? "" : "...";
const tail = startWithContext + 240 < text.length ? "..." : "";
- let summary = document.createElement("div");
+ let summary = document.createElement("p");
summary.classList.add("context");
- summary.innerText = top + text.substr(startWithContext, 240).trim() + tail;
-
- highlightWords.forEach((highlightWord) =>
- _highlightText(summary, highlightWord, "highlighted")
- );
+ summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
return summary;
},
diff --git a/docs/build/html/_static/sphinx_highlight.js b/docs/build/html/_static/sphinx_highlight.js
new file mode 100644
index 0000000000000000000000000000000000000000..8a96c69a1942318413af68fd459122b56edd8d69
--- /dev/null
+++ b/docs/build/html/_static/sphinx_highlight.js
@@ -0,0 +1,154 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+ if (node.nodeType === Node.TEXT_NODE) {
+ const val = node.nodeValue;
+ const parent = node.parentNode;
+ const pos = val.toLowerCase().indexOf(text);
+ if (
+ pos >= 0 &&
+ !parent.classList.contains(className) &&
+ !parent.classList.contains("nohighlight")
+ ) {
+ let span;
+
+ const closestNode = parent.closest("body, svg, foreignObject");
+ const isInSVG = closestNode && closestNode.matches("svg");
+ if (isInSVG) {
+ span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+ } else {
+ span = document.createElement("span");
+ span.classList.add(className);
+ }
+
+ span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+ const rest = document.createTextNode(val.substr(pos + text.length));
+ parent.insertBefore(
+ span,
+ parent.insertBefore(
+ rest,
+ node.nextSibling
+ )
+ );
+ node.nodeValue = val.substr(0, pos);
+ /* There may be more occurrences of search term in this node. So call this
+ * function recursively on the remaining fragment.
+ */
+ _highlight(rest, addItems, text, className);
+
+ if (isInSVG) {
+ const rect = document.createElementNS(
+ "http://www.w3.org/2000/svg",
+ "rect"
+ );
+ const bbox = parent.getBBox();
+ rect.x.baseVal.value = bbox.x;
+ rect.y.baseVal.value = bbox.y;
+ rect.width.baseVal.value = bbox.width;
+ rect.height.baseVal.value = bbox.height;
+ rect.setAttribute("class", className);
+ addItems.push({ parent: parent, target: rect });
+ }
+ }
+ } else if (node.matches && !node.matches("button, select, textarea")) {
+ node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+ }
+};
+const _highlightText = (thisNode, text, className) => {
+ let addItems = [];
+ _highlight(thisNode, addItems, text, className);
+ addItems.forEach((obj) =>
+ obj.parent.insertAdjacentElement("beforebegin", obj.target)
+ );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+ /**
+ * highlight the search words provided in localstorage in the text
+ */
+ highlightSearchWords: () => {
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diff --git a/docs/build/html/bio_volumentations.augmentations.html b/docs/build/html/bio_volumentations.augmentations.html
new file mode 100644
index 0000000000000000000000000000000000000000..c05ff3415e6a2d3a356c041fdda8e6bd665f5e23
--- /dev/null
+++ b/docs/build/html/bio_volumentations.augmentations.html
@@ -0,0 +1,971 @@
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+
+ <section id="bio-volumentations-augmentations-package">
+<h1>bio_volumentations.augmentations package<a class="headerlink" href="#bio-volumentations-augmentations-package" title="Link to this heading">ď</a></h1>
+<section id="module-bio_volumentations.augmentations.transforms">
+<span id="bio-volumentations-augmentations-transforms-module"></span><h2>bio_volumentations.augmentations.transforms module<a class="headerlink" href="#module-bio_volumentations.augmentations.transforms" title="Link to this heading">ď</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.AffineTransform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">AffineTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">change_to_isotropic</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.AffineTransform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Affine transformation of the input image with given parameters.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>angles (Tuple[float], optional): angles of rotation for the spatial axes.</dt><dd><p>Must be: (A_Z, A_Y, A_X).
+Defaults to (0, 0, 0).</p>
+</dd>
+<dt>translation (Tuple[float], optional): translation vector for the spatial axes.</dt><dd><p>Must be: (T_Z, T_Y, T_X).
+Defaults to (0, 0, 0).</p>
+</dd>
+<dt>scale (Tuple[float], optional): scales for the spatial axes.</dt><dd><p>Must be: (S_Z, S_Y, S_X).
+Defaults to (1, 1, 1).</p>
+</dd>
+<dt>spacing (float | Tuple[float, float, float] | None, optional): voxel spacing for individual spatial dimensions.</dt><dd><p>Must be: (S1, S2, S3).
+Defaults to (1, 1, 1).</p>
+</dd>
+</dl>
+<p>change_to_isotropic (bool, optional): Change data from anisotropic to isotropic. Defaults to False.
+interpolation (Int, optional): The order of spline interpolation. Defaults to 1.
+border_mode (str, optional): The mode parameter determines how the input array is extended beyond its</p>
+<blockquote>
+<div><p>boundaries. Defaults to â€constant’.</p>
+</div></blockquote>
+<p>ival (float, optional): Value to fill past edges of image if mode is â€constant’. Defaults to 0.
+mval (float, optional): Value to fill past edges of mask if mode is â€constant’. Defaults to 0.
+ignore_index ( float | None, optional): If ignore_index is float, then transformation of mask is done with</p>
+<blockquote>
+<div><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.AffineTransform.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.AffineTransform.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.AffineTransform.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.AffineTransform.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.CenterCrop">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">CenterCrop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.CenterCrop" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Crops the central region of the input of given size.</p>
+<p>Unlike CenterCrop from Albumentations, this transform pads the input in dimensions
+where the input is smaller than the <cite>shape</cite> with <cite>numpy.pad</cite>. The <cite>border_mode</cite>, <cite>ival</cite> and <cite>mval</cite>
+arguments are forwarded to <cite>numpy.pad</cite> if padding is necessary. More details at:
+<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.pad.html">https://numpy.org/doc/stable/reference/generated/numpy.pad.html</a>.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>shape (Tuple[int]): the desired shape of input.</dt><dd><p>Must be either of: [Z, Y, X] or [Z, Y, X, T].</p>
+</dd>
+</dl>
+<p>border_mode (str, optional): border mode used for numpy.pad. Defaults to “reflect”.
+ival (Tuple[float], optional): values used for â€constant’ or â€linear_ramp’ for image. Defaults to (0, 0).
+mval (Tuple[float], optional): values used for â€constant’ or â€linear_ramp’ for mask. Defaults to (0, 0).
+ignore_index (float | None, optional): if <cite>ignore_index</cite> is a float, then transformation of mask is done with</p>
+<blockquote>
+<div><p><cite>border_mode = “constant”</cite> and <cite>mval = ignore_index</cite>. If ignore_index is <cite>None</cite>, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.CenterCrop.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.CenterCrop.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.CenterCrop.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.CenterCrop.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Contiguous">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Contiguous</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Contiguous" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Transform the image data to a contiguous array.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Contiguous.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Contiguous.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Contiguous.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Contiguous.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Flip">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Flip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Flip" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Flip input around the specified spatial axes.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>axes (List[int], optional): list of axes around which is flip done (recognised axis symbols are</dt><dd><p>1 for Z, 2 for Y, and 3 for X). Defaults to [1,2,3].</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Flip.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Flip.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Flip.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Flip.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Flip.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Flip.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Float">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Float" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Change datatype to np.float32 without changing the image values.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Float.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Float.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Float.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Float.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianBlur">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">GaussianBlur</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sigma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianBlur" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Performs Gaussian blur on the image. In case of a multi-channel image, individual channels are blured separately.</p>
+<dl class="simple">
+<dt>Internally, the scipy <cite>gaussian_filter</cite> function is used. The <cite>border_mode</cite> and`cval`,</dt><dd><p>arguments are forwarded to it. More details at:</p>
+</dd>
+</dl>
+<p><a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html">https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html</a>.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>sigma (float, Tuple(float), List[Tuple(float) | float] , optional): Gaussian sigma.</dt><dd><p>Must be either of: S, (S_Z, S_Y, S_X), (S_Z, S_Y, S_X, S_T), [S_1, S_2, …, S_C],
+[(S_Z1, S_Y1, S_X1), (S_Z2, S_Y2, S_X2), …, (S_ZC, S_YC, S_XC)], or
+[(S_Z1, S_Y1, S_X1, S_T1), (S_Z2, S_Y2, S_X2, S_T2), …, (S_ZC, S_YC, S_XC, S_TC)].
+If a float, the spatial dimensions are blurred equivalently (equivalent to (S, S, S)).
+If a tuple, the sigmas for spatial dimensions and possibly the time dimension must be specified.
+If a list, sigmas for each channel must be specified either as a single number or as a tuple.
+Defaults to 0.8.</p>
+</dd>
+<dt>border_mode (str, optional): The mode parameter determines how the input array is extended beyond its</dt><dd><p>boundaries. Defaults to “reflect”.</p>
+</dd>
+</dl>
+<p>cval (float, optional): Value to fill past edges of image if mode is â€constant’. Defaults to 0.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianBlur.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianBlur.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianNoise">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">GaussianNoise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.001,</span> <span class="pre">0.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianNoise" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Adds Gaussian noise to the image. The noise is drawn from normal distribution with given parameters.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>var_limit (tuple, optional): variance of normal distribution is randomly chosen from this interval.</dt><dd><p>Defaults to (0.001, 0.1).</p>
+</dd>
+</dl>
+<p>mean (float, optional): mean of normal distribution. Defaults to 0.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianNoise.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianNoise.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianNoise.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianNoise.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.HistogramEqualization">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">HistogramEqualization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.HistogramEqualization" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Performs equalization of histogram. The equalization is done channel-wise, meaning that each channel is equalized
+separately.</p>
+<p>Warning! Images are normalized over both spatial and temporal domains together. The output is in the range [0, 1].</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>bins (int, optional): Number of bins for image histogram. Defaults to 256.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.HistogramEqualization.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.HistogramEqualization.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Normalize">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Normalize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Normalize" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Change image mean and standard deviation to the given values (channel-wise).</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>mean (float | List[float], optional): the desired channel-wise means.</dt><dd><p>Must be either of: M, [M_1, M_2, …, M_C]. Defaults to 0.</p>
+</dd>
+<dt>std (float | List[float], optional): the desired channel-wise standard deviations.</dt><dd><p>Must be either of: S, [S_1, S_2, …, S_C]. Defaults to 1.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Normalize.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Normalize.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.NormalizeMeanStd">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">NormalizeMeanStd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.NormalizeMeanStd" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Normalize image values to have mean 0 and standard deviation 1, given channel-wise means and standard deviations.</p>
+<p>For a single-channel image, the normalization is applied by the formula: <span class="math notranslate nohighlight">\(img = (img - mean) / std\)</span>.
+If the image contains more channels, then the previous formula is used for each channel separately.</p>
+<p>It is recommended to input dataset-wide means and standard deviations.</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>mean (float | List[float]): channel-wise image mean. Must be either of: M, (M_1, M_2, …, M_C).
+std (float | List[float]): channel-wise image standard deviation. Must be either of: S, (S_1, S_2, …, S_C).
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.NormalizeMeanStd.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.NormalizeMeanStd.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Pad">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Pad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pad_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Pad" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Pads the input based on pad_size.</p>
+<p>If pad_size is a single number, all spatial axes are padded on both sides
+with this number. If it is tuple, then it has same behaviour as pad_size except sides are padded with different
+number of pixels. If it is List, then it must have 3 items, which define padding for each spatial dimension
+separately (in either of the ways described above). If the List is shorter, remaining axes are padded with 0.</p>
+<p>For other parameters check <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.pad.html">https://numpy.org/doc/stable/reference/generated/numpy.pad.html</a></p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>pad_size (int | Tuple[int] | List[int | Tuple[int]]): number of pixels padded to the edges of each axis.</dt><dd><p>Must be either of: P, (P1, P2), [P_Z, P_Y, P_X], [P_Z, P_Y, P_X, P_T],
+[(P_Z1, P_Z2), (P_Y1, P_Y2), (P_X1, P_X2)], or
+[(P_Z1, P_Z2), (P_Y1, P_Y2), (P_X1, P_X2), (P_T1, P_T2)].
+If an integer, it is equivalent to [(P, P), (P, P), (P, P)].
+If a tuple, it is equivalent to [(P1, P2), (P1, P2), (P1, P2)].
+If a list, it must specify padding for all spatial dimensions and possibly also for the time dimension.
+The unspecified dimensions (C and possibly T) are not affected.</p>
+</dd>
+</dl>
+<p>border_mode (str, optional): <cite>numpy.pad</cite> parameter . Defaults to â€constant’.
+ival (float | Sequence, optional): value for image if needed by chosen border_mode. Defaults to 0.
+mval (float | Sequence, optional): value for mask if needed by chosen border_mode. Defaults to 0.
+ignore_index ( float | None, optional): If ignore_index is float, then transformation of mask is done with</p>
+<blockquote>
+<div><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Pad.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Pad.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Pad.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Pad.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.PoissonNoise">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">PoissonNoise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">intensity_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">10)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.PoissonNoise" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Adds poisson noise to the image.</p>
+<dl class="simple">
+<dt>Args:</dt><dd><dl class="simple">
+<dt>intensity_limit (tuple): Range to sample expected intensity of added poisson noise.</dt><dd><p>Defaults to (1, 10).</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.PoissonNoise.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.PoissonNoise.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.PoissonNoise.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.PoissonNoise.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomAffineTransform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomAffineTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angle_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(15,</span> <span class="pre">15,</span> <span class="pre">15)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translation_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scaling_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.2,</span> <span class="pre">0.2,</span> <span class="pre">0.2)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">change_to_isotropic</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Affine transformation of the input image with randomly chosen parameters.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>angle_limit (Tuple[float] | float, optional): intervals in degrees from which angles of</dt><dd><p>rotation for the spatial axes are chosen.
+Must be either of: A, (A1, A2), or (A_Z1, A_Z2, A_Y1, A_Y2, A_X1, A_X2).
+If a float, equivalent to (-A, A, -A, A, -A, A).
+If a tuple with 2 items, equivalent to (A1, A2, A1, A2, A1, A2).
+If a tuple with 6 items, angle of rotation is randomly chosen from an interval [A_a1, A_a2] for each
+spatial axis.
+Defaults to (15, 15, 15).</p>
+</dd>
+<dt>translation_limit (Tuple[int] | int | None, optional): intervals from which the translation parameters</dt><dd><p>for the spatial axes are chosen.
+Must be either of: T, (T1, T2), or (T_Z1, T_Z2, T_Y1, T_Y2, T_X1, T_X2).
+If a float, equivalent to (-T, T, -T, T, -T, T).
+If a tuple with 2 items, equivalent to (T1, T2, T1, T2, T1, T2).
+If a tuple with 6 items, the translation parameter is randomly chosen from an interval [T_a1, T_a2] for
+each spatial axis.
+Defaults to (0, 0, 0).</p>
+</dd>
+<dt>scaling_limit (Tuple[float] | float, optional): intervals from which the scales for the spatial axes are chosen.</dt><dd><p>Must be either of: S, (S1, S2), or (S_Z1, S_Z2, S_Y1, S_Y2, S_X1, S_X2).
+If a float, equivalent to (1-S, 1+S, 1-S, 1+S, 1-S, 1+S).
+If a tuple with 2 items, equivalent to (S1, S2, S1, S2, S1, S2).
+If a tuple with 6 items, the scale is randomly chosen from an interval [S_a1, S_a2] for
+each spatial axis.
+Defaults to (0.2, 0.2, 0.2).</p>
+</dd>
+<dt>spacing (float | Tuple[float, float, float] | None, optional): voxel spacing for individual spatial dimensions.</dt><dd><p>Must be either of: S, (S1, S2, S3), or None.
+If <cite>None</cite>, equivalent to (1, 1, 1).
+If a float S, equivalent to (S, S, S).
+If a tuple with 3 items, the scale is (S1, S2, S3).
+Defaults to None.</p>
+</dd>
+</dl>
+<p>change_to_isotropic (bool, optional): Change data from anisotropic to isotropic. Defaults to False.
+interpolation (Int, optional): The order of spline interpolation. Defaults to 1.
+border_mode (str, optional): The mode parameter determines how the input array is extended beyond its</p>
+<blockquote>
+<div><p>boundaries. Defaults to â€constant’.</p>
+</div></blockquote>
+<p>ival (float, optional): Value to fill past edges of image if mode is â€constant’. Defaults to 0.
+mval (float, optional): Value to fill past edges of mask if mode is â€constant’. Defaults to 0.
+ignore_index ( float | None, optional): If ignore_index is float, then transformation of mask is done with</p>
+<blockquote>
+<div><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomAffineTransform.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomAffineTransform.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomAffineTransform.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomBrightnessContrast">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomBrightnessContrast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">brightness_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">contrast_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Randomly change brightness and contrast of the input image.</p>
+<p>Unlike RandomBrightnessContrast from Albumentations, this transform is using the
+formula <span class="math notranslate nohighlight">\(f(a) = (c+1) * a + b\)</span>, where <span class="math notranslate nohighlight">\(c\)</span> is contrast and <span class="math notranslate nohighlight">\(b\)</span> is brightness.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>brightness_limit ((float, float) | float, optional): interval from which the change in brightness is</dt><dd><p>randomly drawn. Must be either of: B, (B1, B2).
+If a float, the interval will be (-B, B).
+If the change in brightness is 0, the brightness will not change.
+Defaults to 0.2.</p>
+</dd>
+<dt>contrast_limit ((float, float) | float, optional): interval from which the change in contrast is</dt><dd><p>randomly drawn. Must be either of: C, (C1, C2).
+If a float, the interval will be (-C, C). If the change in contrast is 1,
+the contrast will not change. Defaults to 0.2.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomBrightnessContrast.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomBrightnessContrast.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomCrop">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomCrop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomCrop" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Randomly crops a region of given size from the input.</p>
+<p>Unlike RandomCrop from Albumentations, this transform pads the input in dimensions
+where the input is smaller than the <cite>shape</cite> with <cite>numpy.pad</cite>. The <cite>border_mode</cite>, <cite>ival</cite> and <cite>mval</cite>
+arguments are forwarded to <cite>numpy.pad</cite> if padding is necessary. More details at:
+<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.pad.html">https://numpy.org/doc/stable/reference/generated/numpy.pad.html</a>.</p>
+<dl>
+<dt>Args:</dt><dd><p>shape (Tuple[int]): the desired shape of input. Must be either of: [Z, Y, X] or [Z, Y, X, T].
+border_mode (str, optional): border mode used for numpy.pad. Defaults to “reflect”.
+ival (Tuple[float], optional): values used for â€constant’ or â€linear_ramp’ for image. Defaults to (0, 0).
+mval (Tuple[float], optional): values used for â€constant’ or â€linear_ramp’ for mask. Defaults to (0, 0).
+ignore_index (float | None, optional): if <cite>ignore_index</cite> is a float, then transformation of mask is done with</p>
+<blockquote>
+<div><p><cite>border_mode = “constant”</cite> and <cite>mval = ignore_index</cite>. If ignore_index is <cite>None</cite>, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomCrop.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">array([0,</span> <span class="pre">0,</span> <span class="pre">0])</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomCrop.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomCrop.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">array([0,</span> <span class="pre">0,</span> <span class="pre">0])</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomCrop.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomCrop.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomCrop.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomFlip">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomFlip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes_to_choose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomFlip" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Flip input around a set of axes randomly chosen from the input list of axis combinations.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>axes_to_choose (List[Tuple[int]] or None, optional): a list of axis combinations from which one option</dt><dd><p>is randomly chosen (recognised axis symbols are 1 for Z, 2 for Y, and 3 for X).
+The image will be flipped around all axes in the chosen combination.
+If None, a random subset of spatial axes is chosen, corresponding to inputting
+[(1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)].
+Defaults to None.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomFlip.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomFlip.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomFlip.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomFlip.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomFlip.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomFlip.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGamma">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomGamma</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gamma_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.8,</span> <span class="pre">1.2)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGamma" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Performs the gamma transform with a randomly chosen gamma. If image values (in any channel) are outside
+the [0,1] interval, this transformation is skipped.</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>gamma_limit (Tuple(float), optional): interval from which gamma is selected. Defaults to (0.8, 1.2).
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGamma.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gamma</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGamma.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGamma.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGamma.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGaussianBlur">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomGaussianBlur</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_sigma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_sigma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Performs Gaussian blur on the image with a random strength blurring.
+In case of a multi-channel image, individual channels are blured separately.</p>
+<p>Behaves similarly to GaussianBlur. The Gaussian sigma is randomly drawn from
+the interval [min_sigma, s] for the respective s from max_sigma for each channel and dimension.</p>
+<dl class="simple">
+<dt>Internally, the scipy <cite>gaussian_filter</cite> function is used. The <cite>border_mode</cite> and`cval`,</dt><dd><p>arguments are forwarded to it. More details at:</p>
+</dd>
+</dl>
+<p><a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html">https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html</a>.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>max_sigma (float, Tuple(float), List[Tuple(float) | float] , optional): maximum Gaussian sigma.</dt><dd><p>Must be either of: S, (S_Z, S_Y, S_X), (S_Z, S_Y, S_X, S_T), [S_1, S_2, …, S_C],
+[(S_Z1, S_Y1, S_X1), (S_Z2, S_Y2, S_X2), …, (S_ZC, S_YC, S_XC)], or
+[(S_Z1, S_Y1, S_X1, S_T1), (S_Z2, S_Y2, S_X2, S_T2), …, (S_ZC, S_YC, S_XC, S_TC)].
+If a float, the spatial dimensions are blurred equivalently (equivalent to (S, S, S)).
+If a tuple, the sigmas for spatial dimensions and possibly the time dimension must be specified.
+If a list, sigmas for each channel must be specified either as a single number or as a tuple.
+Defaults to 0.8.</p>
+</dd>
+<dt>min_sigma (float, optional): minimum Gaussian sigma. It is the same for all channels and dimensions.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>border_mode (str, optional): The mode parameter determines how the input array is extended beyond its</dt><dd><p>boundaries. Defaults to “reflect”.</p>
+</dd>
+</dl>
+<p>cval (float, optional): Value to fill past edges of image if mode is â€constant’. Defaults to 0.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGaussianBlur.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGaussianBlur.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomRotate90">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomRotate90</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle_axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomRotate90" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Rotation of input by 0, 90, 180, or 270 degrees around the specified spatial axes.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>axes (List[int], optional): list of axes around which the input is rotated (recognised axis symbols are</dt><dd><p>1 for Z, 2 for Y, and 3 for X). A single axis can occur multiple times in the list.
+If <cite>shuffle_axis</cite> is <cite>False</cite>, the order of axes determines the order of transformations.
+Defaults to [1, 2, 3].</p>
+</dd>
+</dl>
+<p>shuffle_axis (bool, optional): If set to <cite>True</cite>, order of rotations is random. Defaults to False.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomRotate90.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomRotate90.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomRotate90.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomRotate90.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomRotate90.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomRotate90.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomScale">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomScale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scaling_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.9,</span> <span class="pre">1.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomScale" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Randomly rescale input.</p>
+<dl>
+<dt>Args:</dt><dd><dl>
+<dt>scaling_limit (float | Tuple[float] | List[Tuple[float]], optional): Limits of scaling factors.</dt><dd><p>Must be either of: S, (S1, S2), (S_Z, S_Y, S_X), or (S_Z1, S_Z2, S_Y1, S_Y2, S_X1, S_X2)
+If it is a float S, then all spatial dimensions are scaled by a random number drawn uniformly from</p>
+<blockquote>
+<div><p>the interval [1-S, 1+S] (equivalent to inputting (1-S, 1+S, 1-S, 1+S, 1-S, 1+S)).</p>
+</div></blockquote>
+<dl class="simple">
+<dt>If it is a tuple of 2 numbers, then all spatial dimensions are scaled by a random number drawn uniformly</dt><dd><p>from the interval [S1, S2] (equivalent to inputting (S1, S2, S1, S2, S1, S2)).</p>
+</dd>
+<dt>If it is a tuple of 3 numbers, then an interval [1-S_a, 1+S_a] is constructed for each spatial</dt><dd><p>dimension and the scale is randomly drawn from it
+(equivalent to inputting (1-S_Z, 1+S_Z, 1-S_Y, 1+S_Y, 1-S_X, 1+S_X)).</p>
+</dd>
+<dt>If it is a tuple of 6 numbers, the scales for individual spatial dimensions are randomly drawn from the</dt><dd><p>respective intervals [S_Z1, S_Z2], [S_Y1, S_Y2], [S_X1, S_X2].</p>
+</dd>
+</dl>
+<p>The unspecified dimensions (C and T) are not affected. Defaults to (0.9, 1.1).</p>
+</dd>
+</dl>
+<p>interpolation (int, optional): order of spline interpolation for image. Defaults to 1.
+border_mode (str, optional): values outside image domain are filled according to the mode.</p>
+<blockquote>
+<div><p>Defaults to â€constant’.</p>
+</div></blockquote>
+<dl class="simple">
+<dt>ival (float, optional): value outside of image when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>mval (float, optional): value outside of mask when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </dt><dd><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</dd>
+</dl>
+<p>spacing (TripleFloats | float | None)
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomScale.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomScale.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomScale.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomScale.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomScale.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomScale.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Resize">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Resize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anti_aliasing_downsample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Resize" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Resize input to the given shape.</p>
+<dl class="simple">
+<dt>Internally, the skimage <cite>resize</cite> function is used. The <cite>interpolation</cite>, <cite>border_mode</cite>, <cite>ival</cite>, <cite>mval</cite>,</dt><dd><p>and <cite>anti_aliasing_downsample</cite> arguments are forwarded to it. More details at:</p>
+</dd>
+</dl>
+<p><a class="reference external" href="https://scikit-image.org/docs/stable/api/skimage.transform.html#skimage.transform.resize">https://scikit-image.org/docs/stable/api/skimage.transform.html#skimage.transform.resize</a>.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>shape (tuple of ints): the desired image shape. Must be of either of: (Z, Y, X) or (Z, Y, X, T).</dt><dd><p>The unspecified dimensions (C and possibly T) are not affected.</p>
+</dd>
+</dl>
+<p>interpolation (int, optional): order of spline interpolation for image. Defaults to 1.
+border_mode (string, optional): points outside image are filled according to this mode.</p>
+<blockquote>
+<div><p>Defaults to â€reflect’.</p>
+</div></blockquote>
+<dl class="simple">
+<dt>ival (float, optional): value outside of image when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>mval (float, optional): value outside of mask when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>anti_aliasing_downsample (bool, optional): controls if the gaussian filter should be used on image before</dt><dd><p>downsampling, recommended. Defaults to True.</p>
+</dd>
+<dt>ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </dt><dd><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Resize.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Resize.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Resize.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Resize.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Scale">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Scale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scales</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Scale" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Rescale input by the given scale.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>scales (float|List[float], optional): Value by which the input should be scaled.</dt><dd><p>Must be either of: S, [S_Z, S_Y, S_X], or [S_Z, S_Y, S_X, S_T].
+If it is a float, then all spatial dimensions are scaled by it (S is equivalent to [S, S, S]).
+The unspecified dimensions (C and possibly T) are not affected.
+Defaults to 1.</p>
+</dd>
+</dl>
+<p>interpolation (int, optional): order of spline interpolation for image. Defaults to 1.
+border_mode (str, optional): points outside image are filled according to this mode.</p>
+<blockquote>
+<div><p>Defaults to â€constant’.</p>
+</div></blockquote>
+<dl class="simple">
+<dt>ival (float, optional): value outside of image when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>mval (float, optional): value outside of mask when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </dt><dd><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Scale.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Scale.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Scale.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Scale.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+
+ </div>
+ </div>
+ <footer>
+
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+
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diff --git a/docs/build/html/bio_volumentations.conversion.html b/docs/build/html/bio_volumentations.conversion.html
new file mode 100644
index 0000000000000000000000000000000000000000..2a67de96f14cb13984f4490ad129d03725777b9b
--- /dev/null
+++ b/docs/build/html/bio_volumentations.conversion.html
@@ -0,0 +1,148 @@
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+<html class="writer-html5" lang="en" data-content_root="./">
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+ <title>bio_volumentations.conversion package — bio-volumentations 1.1.0 documentation</title>
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+
+ <section id="bio-volumentations-conversion-package">
+<h1>bio_volumentations.conversion package<a class="headerlink" href="#bio-volumentations-conversion-package" title="Link to this heading">ď</a></h1>
+<section id="module-bio_volumentations.conversion.transforms">
+<span id="bio-volumentations-conversion-transforms-module"></span><h2>bio_volumentations.conversion.transforms module<a class="headerlink" href="#module-bio_volumentations.conversion.transforms" title="Link to this heading">ď</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.ConversionToFormat">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.conversion.transforms.</span></span><span class="sig-name descname"><span class="pre">ConversionToFormat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.ConversionToFormat" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Check the very basic assumptions about the input images.</p>
+<p>Adds channel dimension to the 3D images without it. Checks that shapes of individual target types are
+consistent (to some extent).</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.ConversionToFormat.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">volume</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.ConversionToFormat.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.ConversionToFormat.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.ConversionToFormat.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.NoConversion">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.conversion.transforms.</span></span><span class="sig-name descname"><span class="pre">NoConversion</span></span><a class="headerlink" href="#bio_volumentations.conversion.transforms.NoConversion" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Identity.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.NoConversion.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">volume</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.NoConversion.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.NoConversion.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.NoConversion.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+
+ </div>
+ </div>
+ <footer>
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>© Copyright 2024, Samuel Sulan, Lucia Hradecka, Filip Lux.</p>
+ </div>
+
+ Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
+ <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
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+ jQuery(function () {
+ SphinxRtdTheme.Navigation.enable(true);
+ });
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+</body>
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diff --git a/docs/build/html/bio_volumentations.core.html b/docs/build/html/bio_volumentations.core.html
new file mode 100644
index 0000000000000000000000000000000000000000..d364f00ad52733760ce50ed46c38518e92ad7b3f
--- /dev/null
+++ b/docs/build/html/bio_volumentations.core.html
@@ -0,0 +1,188 @@
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" data-content_root="./">
+<head>
+ <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
+
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+ <title>bio_volumentations.core package — bio-volumentations 1.1.0 documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
+ <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
+
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+ <!--[if lt IE 9]>
+ <script src="_static/js/html5shiv.min.js"></script>
+ <![endif]-->
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+
+ <section id="bio-volumentations-core-package">
+<h1>bio_volumentations.core package<a class="headerlink" href="#bio-volumentations-core-package" title="Link to this heading">ď</a></h1>
+<section id="module-bio_volumentations.core.composition">
+<span id="bio-volumentations-core-composition-module"></span><h2>bio_volumentations.core.composition module<a class="headerlink" href="#module-bio_volumentations.core.composition" title="Link to this heading">ď</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.core.composition.Compose">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.core.composition.</span></span><span class="sig-name descname"><span class="pre">Compose</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">transforms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(['image'],</span> <span class="pre">['mask'],</span> <span class="pre">['float_mask'])</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conversion</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.composition.Compose" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Compose a list of transforms into a callable transformation pipeline.</p>
+<p>In addition, basic input image checks and conversions are performed. Optionally, datatype conversion
+(e.g. from numpy.ndarray to torch.Tensor) is performed.</p>
+<dl>
+<dt>Args:</dt><dd><p>transforms (List[Transform]): a list of transforms.
+p (float, optional): chance of applying the whole pipeline. Defaults to 1.
+targets (Tuple[List[str]] | List[List[str]], optional): a list of targets.</p>
+<blockquote>
+<div><p>Defaults to ([â€image’], [â€mask’], [â€float_mask’]).</p>
+</div></blockquote>
+<dl class="simple">
+<dt>conversion (Transform | None, optional): image datatype conversion transform, applied after the transformations.</dt><dd><p>Defaults to None.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.composition.Compose.get_always_apply_transforms">
+<span class="sig-name descname"><span class="pre">get_always_apply_transforms</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.composition.Compose.get_always_apply_transforms" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+<section id="module-bio_volumentations.core.transforms_interface">
+<span id="bio-volumentations-core-transforms-interface-module"></span><h2>bio_volumentations.core.transforms_interface module<a class="headerlink" href="#module-bio_volumentations.core.transforms_interface" title="Link to this heading">ď</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.DualTransform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.core.transforms_interface.</span></span><span class="sig-name descname"><span class="pre">DualTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.DualTransform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.Transform" title="bio_volumentations.core.transforms_interface.Transform"><code class="xref py py-class docutils literal notranslate"><span class="pre">Transform</span></code></a></p>
+<p>The base class of transforms applied to all target types.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.DualTransform.apply_to_float_mask">
+<span class="sig-name descname"><span class="pre">apply_to_float_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">float_mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.DualTransform.apply_to_float_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.DualTransform.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.DualTransform.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.ImageOnlyTransform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.core.transforms_interface.</span></span><span class="sig-name descname"><span class="pre">ImageOnlyTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="modules2.html#bio_volumentations.core.transforms_interface.Transform" title="bio_volumentations.core.transforms_interface.Transform"><code class="xref py py-class docutils literal notranslate"><span class="pre">Transform</span></code></a></p>
+<p>The base class of transforms applied to the <cite>image</cite> target only.</p>
+<dl class="py property">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.ImageOnlyTransform.targets">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">targets</span></span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform.targets" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.Transform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.core.transforms_interface.</span></span><span class="sig-name descname"><span class="pre">Transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.Transform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>The base class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.Transform.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">volume</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.Transform.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.Transform.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.Transform.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+
+ </div>
+ </div>
+ <footer>
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>© Copyright 2024, Samuel Sulan, Lucia Hradecka, Filip Lux.</p>
+ </div>
+
+ Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
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+ jQuery(function () {
+ SphinxRtdTheme.Navigation.enable(true);
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\ No newline at end of file
diff --git a/docs/build/html/bio_volumentations.html b/docs/build/html/bio_volumentations.html
new file mode 100644
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--- /dev/null
+++ b/docs/build/html/bio_volumentations.html
@@ -0,0 +1,277 @@
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" data-content_root="./">
+<head>
+ <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
+
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+ <title>bio_volumentations package — bio-volumentations 1.1.0 documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
+ <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
+
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+ <!--[if lt IE 9]>
+ <script src="_static/js/html5shiv.min.js"></script>
+ <![endif]-->
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+ <script src="_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
+ <script src="_static/documentation_options.js?v=fc837d61"></script>
+ <script src="_static/doctools.js?v=888ff710"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script src="_static/js/theme.js"></script>
+ <link rel="index" title="Index" href="genindex.html" />
+ <link rel="search" title="Search" href="search.html" />
+</head>
+
+<body class="wy-body-for-nav">
+ <div class="wy-grid-for-nav">
+ <nav data-toggle="wy-nav-shift" class="wy-nav-side">
+ <div class="wy-side-scroll">
+ <div class="wy-side-nav-search" >
+
+
+
+ <a href="index.html" class="icon icon-home">
+ bio-volumentations
+ </a>
+<div role="search">
+ <form id="rtd-search-form" class="wy-form" action="search.html" method="get">
+ <input type="text" name="q" placeholder="Search docs" aria-label="Search docs" />
+ <input type="hidden" name="check_keywords" value="yes" />
+ <input type="hidden" name="area" value="default" />
+ </form>
+</div>
+ </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
+ <p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules2.html">Bio-Volumentations Package</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Getting Started</a></li>
+<li class="toctree-l1"><a class="reference internal" href="contributions.html">Copyright</a></li>
+</ul>
+
+ </div>
+ </div>
+ </nav>
+
+ <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
+ <i data-toggle="wy-nav-top" class="fa fa-bars"></i>
+ <a href="index.html">bio-volumentations</a>
+ </nav>
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+ <li><a href="index.html" class="icon icon-home" aria-label="Home"></a></li>
+ <li class="breadcrumb-item active">bio_volumentations package</li>
+ <li class="wy-breadcrumbs-aside">
+ <a href="_sources/bio_volumentations.rst.txt" rel="nofollow"> View page source</a>
+ </li>
+ </ul>
+ <hr/>
+</div>
+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+ <div itemprop="articleBody">
+
+ <section id="bio-volumentations-package">
+<h1>bio_volumentations package<a class="headerlink" href="#bio-volumentations-package" title="Link to this heading">ď</a></h1>
+<section id="subpackages">
+<h2>Subpackages<a class="headerlink" href="#subpackages" title="Link to this heading">ď</a></h2>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="bio_volumentations.augmentations.html">bio_volumentations.augmentations package</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="bio_volumentations.augmentations.html#module-bio_volumentations.augmentations.transforms">bio_volumentations.augmentations.transforms module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.AffineTransform"><code class="docutils literal notranslate"><span class="pre">AffineTransform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.AffineTransform.apply"><code class="docutils literal notranslate"><span class="pre">AffineTransform.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.AffineTransform.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">AffineTransform.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.CenterCrop"><code class="docutils literal notranslate"><span class="pre">CenterCrop</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.CenterCrop.apply"><code class="docutils literal notranslate"><span class="pre">CenterCrop.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.CenterCrop.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">CenterCrop.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Contiguous"><code class="docutils literal notranslate"><span class="pre">Contiguous</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Contiguous.apply"><code class="docutils literal notranslate"><span class="pre">Contiguous.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Contiguous.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Contiguous.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Flip"><code class="docutils literal notranslate"><span class="pre">Flip</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Flip.apply"><code class="docutils literal notranslate"><span class="pre">Flip.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Flip.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Flip.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Flip.get_params"><code class="docutils literal notranslate"><span class="pre">Flip.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Float"><code class="docutils literal notranslate"><span class="pre">Float</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Float.apply"><code class="docutils literal notranslate"><span class="pre">Float.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Float.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Float.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianBlur"><code class="docutils literal notranslate"><span class="pre">GaussianBlur</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianBlur.apply"><code class="docutils literal notranslate"><span class="pre">GaussianBlur.apply()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianNoise"><code class="docutils literal notranslate"><span class="pre">GaussianNoise</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianNoise.apply"><code class="docutils literal notranslate"><span class="pre">GaussianNoise.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianNoise.get_params"><code class="docutils literal notranslate"><span class="pre">GaussianNoise.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.HistogramEqualization"><code class="docutils literal notranslate"><span class="pre">HistogramEqualization</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.HistogramEqualization.apply"><code class="docutils literal notranslate"><span class="pre">HistogramEqualization.apply()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Normalize"><code class="docutils literal notranslate"><span class="pre">Normalize</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Normalize.apply"><code class="docutils literal notranslate"><span class="pre">Normalize.apply()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.NormalizeMeanStd"><code class="docutils literal notranslate"><span class="pre">NormalizeMeanStd</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.NormalizeMeanStd.apply"><code class="docutils literal notranslate"><span class="pre">NormalizeMeanStd.apply()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Pad"><code class="docutils literal notranslate"><span class="pre">Pad</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Pad.apply"><code class="docutils literal notranslate"><span class="pre">Pad.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Pad.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Pad.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.PoissonNoise"><code class="docutils literal notranslate"><span class="pre">PoissonNoise</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.PoissonNoise.apply"><code class="docutils literal notranslate"><span class="pre">PoissonNoise.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.PoissonNoise.get_params"><code class="docutils literal notranslate"><span class="pre">PoissonNoise.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomAffineTransform"><code class="docutils literal notranslate"><span class="pre">RandomAffineTransform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply"><code class="docutils literal notranslate"><span class="pre">RandomAffineTransform.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomAffineTransform.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.get_params"><code class="docutils literal notranslate"><span class="pre">RandomAffineTransform.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomBrightnessContrast"><code class="docutils literal notranslate"><span class="pre">RandomBrightnessContrast</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.apply"><code class="docutils literal notranslate"><span class="pre">RandomBrightnessContrast.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.get_params"><code class="docutils literal notranslate"><span class="pre">RandomBrightnessContrast.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomCrop"><code class="docutils literal notranslate"><span class="pre">RandomCrop</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomCrop.apply"><code class="docutils literal notranslate"><span class="pre">RandomCrop.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomCrop.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomCrop.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomCrop.get_params"><code class="docutils literal notranslate"><span class="pre">RandomCrop.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomFlip"><code class="docutils literal notranslate"><span class="pre">RandomFlip</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomFlip.apply"><code class="docutils literal notranslate"><span class="pre">RandomFlip.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomFlip.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomFlip.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomFlip.get_params"><code class="docutils literal notranslate"><span class="pre">RandomFlip.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGamma"><code class="docutils literal notranslate"><span class="pre">RandomGamma</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGamma.apply"><code class="docutils literal notranslate"><span class="pre">RandomGamma.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGamma.get_params"><code class="docutils literal notranslate"><span class="pre">RandomGamma.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGaussianBlur"><code class="docutils literal notranslate"><span class="pre">RandomGaussianBlur</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGaussianBlur.apply"><code class="docutils literal notranslate"><span class="pre">RandomGaussianBlur.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGaussianBlur.get_params"><code class="docutils literal notranslate"><span class="pre">RandomGaussianBlur.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomRotate90"><code class="docutils literal notranslate"><span class="pre">RandomRotate90</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomRotate90.apply"><code class="docutils literal notranslate"><span class="pre">RandomRotate90.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomRotate90.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomRotate90.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomRotate90.get_params"><code class="docutils literal notranslate"><span class="pre">RandomRotate90.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomScale"><code class="docutils literal notranslate"><span class="pre">RandomScale</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomScale.apply"><code class="docutils literal notranslate"><span class="pre">RandomScale.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomScale.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomScale.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomScale.get_params"><code class="docutils literal notranslate"><span class="pre">RandomScale.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Resize"><code class="docutils literal notranslate"><span class="pre">Resize</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Resize.apply"><code class="docutils literal notranslate"><span class="pre">Resize.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Resize.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Resize.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Scale"><code class="docutils literal notranslate"><span class="pre">Scale</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Scale.apply"><code class="docutils literal notranslate"><span class="pre">Scale.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Scale.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Scale.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="bio_volumentations.conversion.html">bio_volumentations.conversion package</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="bio_volumentations.conversion.html#module-bio_volumentations.conversion.transforms">bio_volumentations.conversion.transforms module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.ConversionToFormat"><code class="docutils literal notranslate"><span class="pre">ConversionToFormat</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.ConversionToFormat.apply"><code class="docutils literal notranslate"><span class="pre">ConversionToFormat.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.ConversionToFormat.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">ConversionToFormat.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.NoConversion"><code class="docutils literal notranslate"><span class="pre">NoConversion</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.NoConversion.apply"><code class="docutils literal notranslate"><span class="pre">NoConversion.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.NoConversion.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">NoConversion.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="bio_volumentations.core.html">bio_volumentations.core package</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="bio_volumentations.core.html#module-bio_volumentations.core.composition">bio_volumentations.core.composition module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.composition.Compose"><code class="docutils literal notranslate"><span class="pre">Compose</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.composition.Compose.get_always_apply_transforms"><code class="docutils literal notranslate"><span class="pre">Compose.get_always_apply_transforms()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="bio_volumentations.core.html#module-bio_volumentations.core.transforms_interface">bio_volumentations.core.transforms_interface module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.DualTransform"><code class="docutils literal notranslate"><span class="pre">DualTransform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.DualTransform.apply_to_float_mask"><code class="docutils literal notranslate"><span class="pre">DualTransform.apply_to_float_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.DualTransform.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">DualTransform.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform.targets"><code class="docutils literal notranslate"><span class="pre">ImageOnlyTransform.targets</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.Transform"><code class="docutils literal notranslate"><span class="pre">Transform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.Transform.apply"><code class="docutils literal notranslate"><span class="pre">Transform.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.Transform.get_params"><code class="docutils literal notranslate"><span class="pre">Transform.get_params()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+</section>
+</section>
+
+
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+ </div>
+ <footer>
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+
+ <div role="contentinfo">
+ <p>© Copyright 2024, Samuel Sulan, Lucia Hradecka, Filip Lux.</p>
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+<!DOCTYPE html>
+<html class="writer-html5" lang="en" data-content_root="./">
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+ <title>Copyright — bio-volumentations 1.1.0 documentation</title>
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+<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules2.html">Bio-Volumentations Package</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Getting Started</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Copyright</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#id1">Copyright</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#contributions">Contributions</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#citation">Citation</a></li>
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+</div>
+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+ <div itemprop="articleBody">
+
+ <section id="copyright">
+<h1>Copyright<a class="headerlink" href="#copyright" title="Link to this heading">ď</a></h1>
+<section id="id1">
+<h2>Copyright<a class="headerlink" href="#id1" title="Link to this heading">ď</a></h2>
+<p>Copyright (c) 2024 Lucia Hradecká, Filip Lux</p>
+<p>The <cite>Bio-Volumentations</cite> library is distributed under the MIT License.
+For more details, see <a class="reference external" href="https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/blob/v1-1-0/LICENSE?ref_type=heads">the licence file at GitLab</a>.</p>
+</section>
+<section id="contributions">
+<h2>Contributions<a class="headerlink" href="#contributions" title="Link to this heading">ď</a></h2>
+<p>Authors of the <cite>Bio-Volumentations</cite> library are:</p>
+<ul class="simple">
+<li><p>Samuel Ĺ uÄľan</p></li>
+<li><p>Lucia Hradecká: <a class="reference external" href="mailto:lucia.d.hradecka%40gmail.com">lucia<span>.</span>d<span>.</span>hradecka<span>@</span>gmail<span>.</span>com</a></p></li>
+<li><p>Filip Lux: <a class="reference external" href="mailto:lux.filip%40gmail.com">lux<span>.</span>filip<span>@</span>gmail<span>.</span>com</a></p></li>
+</ul>
+<p>The <cite>Bio-Volumentations</cite> library is based on the following image augmentation libraries:</p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://github.com/albumentations-team/albumentations">Albumentations</a></p></li>
+<li><p><a class="reference external" href="https://github.com/ashawkey/volumentations">3D Conversion</a></p></li>
+<li><p><a class="reference external" href="https://github.com/ZFTurbo/volumentations">Continued Development</a></p></li>
+<li><p><a class="reference external" href="https://github.com/qubvel/volumentations">Enhancements</a></p></li>
+<li><p><a class="reference external" href="https://github.com/muellerdo/volumentations">Further Enhancements</a></p></li>
+</ul>
+<p>We would thus like to thank their authors, namely:</p>
+<ul class="simple">
+<li><p><a class="reference external" href="https://github.com/albumentations-team">The Albumentations team</a></p></li>
+<li><p><a class="reference external" href="https://github.com/qubvel">Pavel Iakubovskii</a></p></li>
+<li><p><a class="reference external" href="https://github.com/ZFTurbo">ZFTurbo</a></p></li>
+<li><p><a class="reference external" href="https://github.com/ashawkey">ashawkey</a></p></li>
+<li><p><a class="reference external" href="https://github.com/muellerdo">Dominik MĂĽller</a></p></li>
+</ul>
+</section>
+<section id="citation">
+<h2>Citation<a class="headerlink" href="#citation" title="Link to this heading">ď</a></h2>
+<p>TBA</p>
+</section>
+</section>
+
+
+ </div>
+ </div>
+ <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
+ <a href="examples.html" class="btn btn-neutral float-left" title="Getting Started" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
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+ <p>© Copyright 2024, Samuel Sulan, Lucia Hradecka, Filip Lux.</p>
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--- /dev/null
+++ b/docs/build/html/examples.html
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+<!DOCTYPE html>
+<html class="writer-html5" lang="en" data-content_root="./">
+<head>
+ <meta charset="utf-8" /><meta name="viewport" content="width=device-width, initial-scale=1" />
+
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+ <title>Getting Started — bio-volumentations 1.1.0 documentation</title>
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+ <p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules2.html">Bio-Volumentations Package</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Getting Started</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#installation">Installation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#importing">Importing</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#how-to-use-the-library">How to Use the Library?</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#example-transforming-a-single-image">Example: Transforming a Single Image</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#example-transforming-a-image-pairs">Example: Transforming a Image Pairs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#example-transforming-multiple-images-of-the-same-target-type">Example: Transforming Multiple Images of the Same Target Type</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="contributions.html">Copyright</a></li>
+</ul>
+
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+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+ <div itemprop="articleBody">
+
+ <section id="getting-started">
+<h1>Getting Started<a class="headerlink" href="#getting-started" title="Link to this heading">ď</a></h1>
+<section id="installation">
+<h2>Installation<a class="headerlink" href="#installation" title="Link to this heading">ď</a></h2>
+<p>You can install the library from PyPi using <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span> <span class="pre">bio-volumentations</span></code>.</p>
+</section>
+<section id="importing">
+<h2>Importing<a class="headerlink" href="#importing" title="Link to this heading">ď</a></h2>
+<p>Import the library to your project using <code class="docutils literal notranslate"><span class="pre">import</span> <span class="pre">bio_volumentations</span> <span class="pre">as</span> <span class="pre">biovol</span></code>.</p>
+</section>
+<section id="how-to-use-the-library">
+<h2>How to Use the Library?<a class="headerlink" href="#how-to-use-the-library" title="Link to this heading">ď</a></h2>
+<p>The Bio-Volumentations library processes 3D, 4D, and 5D images. Each image must be
+represented as <code class="xref py py-class docutils literal notranslate"><span class="pre">numpy.ndarray</span></code> and must conform to the following conventions:</p>
+<ul class="simple">
+<li><p>The order of dimensions is [C, Z, Y, X, T], where C is the channel dimension, T is the time dimension, and Z, Y, and X are the spatial dimensions.</p></li>
+<li><p>The three spatial dimensions (Z, Y, X) are compulsory.</p></li>
+<li><p>The channel (C) dimension is optional. If it is not present, the library will automatically create a dummy dimension in its place and output an image of shape (1, Z, Y, X).</p></li>
+<li><p>The time (T) dimension is optional and can only be present if the channel (C) dimension is also present.</p></li>
+</ul>
+<p>Thus, the input images can have these shapes:</p>
+<ul class="simple">
+<li><p>[Z, Y, X] (a single-channel volumetric image)</p></li>
+<li><p>[C, Z, Y, X] (a multi-channel volumetric image)</p></li>
+<li><p>[C, Z, Y, X, T] (a single-channel as well as multi-channel volumetric image sequence)</p></li>
+</ul>
+<p><strong>It is strongly recommended to use</strong> <code class="xref py py-class docutils literal notranslate"><span class="pre">Compose</span></code> <strong>to create and use transformations.</strong>
+The <code class="xref py py-class docutils literal notranslate"><span class="pre">Compose</span></code> class automatically checks and adjusts image format, datatype, stacks
+individual transforms to a pipeline, and outputs the image as a contiguous array.
+Optionally, it can also convert the transformed image to a desired format.</p>
+<p>Below, there are several examples of how to use the <cite>Bio-Volumentations</cite> library.</p>
+</section>
+<section id="example-transforming-a-single-image">
+<h2>Example: Transforming a Single Image<a class="headerlink" href="#example-transforming-a-single-image" title="Link to this heading">ď</a></h2>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">bio_volumentations</span> <span class="kn">import</span> <span class="n">Compose</span><span class="p">,</span> <span class="n">RandomGamma</span><span class="p">,</span> <span class="n">RandomRotate90</span><span class="p">,</span> <span class="n">GaussianBlur</span>
+
+<span class="c1"># Create the transformation using Compose from a list of transformations</span>
+<span class="n">aug</span> <span class="o">=</span> <span class="n">Compose</span><span class="p">([</span>
+ <span class="n">RandomGamma</span><span class="p">(</span><span class="n">gamma_limit</span> <span class="o">=</span> <span class="p">(</span><span class="mf">0.8</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">),</span> <span class="n">p</span> <span class="o">=</span> <span class="mf">0.8</span><span class="p">),</span>
+ <span class="n">RandomRotate90</span><span class="p">(</span><span class="n">axes</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">p</span> <span class="o">=</span> <span class="mi">1</span><span class="p">),</span>
+ <span class="n">GaussianBlur</span><span class="p">(</span><span class="n">sigma</span> <span class="o">=</span> <span class="mf">1.2</span><span class="p">,</span> <span class="n">p</span> <span class="o">=</span> <span class="mf">0.8</span><span class="p">)</span>
+ <span class="p">])</span>
+
+<span class="c1"># Generate an image</span>
+<span class="n">img</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">128</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span><span class="p">)</span>
+
+<span class="c1"># Transform the image</span>
+<span class="c1"># Notice that the image must be passed as a keyword argument to the transformation pipeline</span>
+<span class="c1"># and extracted from the outputted dictionary.</span>
+<span class="n">data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'image'</span><span class="p">:</span> <span class="n">img</span><span class="p">}</span>
+<span class="n">aug_data</span> <span class="o">=</span> <span class="n">aug</span><span class="p">(</span><span class="o">**</span><span class="n">data</span><span class="p">)</span>
+<span class="n">transformed_img</span> <span class="o">=</span> <span class="n">aug_data</span><span class="p">[</span><span class="s1">'image'</span><span class="p">]</span>
+</pre></div>
+</div>
+</section>
+<section id="example-transforming-a-image-pairs">
+<h2>Example: Transforming a Image Pairs<a class="headerlink" href="#example-transforming-a-image-pairs" title="Link to this heading">ď</a></h2>
+<p>Sometimes, it is necessary to consistently transform a tuple of corresponding images.
+To that end, Bio-Volumentations define several target types:</p>
+<ul class="simple">
+<li><p><code class="xref py py-class docutils literal notranslate"><span class="pre">image</span></code> for the image data</p></li>
+<li><p><code class="xref py py-class docutils literal notranslate"><span class="pre">mask</span></code> for integer-valued label images</p></li>
+<li><p><code class="xref py py-class docutils literal notranslate"><span class="pre">float_mask</span></code> for real-valued label images</p></li>
+</ul>
+<p>The <code class="xref py py-class docutils literal notranslate"><span class="pre">mask</span></code> and <code class="xref py py-class docutils literal notranslate"><span class="pre">float_mask</span></code> target types are expected to have the same shape as the <code class="xref py py-class docutils literal notranslate"><span class="pre">image</span></code>
+target except for the channel (C) dimension which must not be included.
+For example, for images of shape (150, 300, 300), (1, 150, 300, 300), or
+(4, 150, 300, 300), the corresponding <code class="xref py py-class docutils literal notranslate"><span class="pre">mask</span></code> must be of shape (150, 300, 300).
+If one wants to use a multichannel <code class="xref py py-class docutils literal notranslate"><span class="pre">mask</span></code> or <code class="xref py py-class docutils literal notranslate"><span class="pre">float_mask</span></code>, one has to split it into
+a set of single-channel <code class="xref py py-class docutils literal notranslate"><span class="pre">mask</span></code> s or <code class="xref py py-class docutils literal notranslate"><span class="pre">float_mask</span></code> s, respectively, and input them
+as stand-alone targets (see below).</p>
+<p>If a <code class="xref py py-class docutils literal notranslate"><span class="pre">Random...</span></code> transform receives multiple targets on its input in a single call,
+the same random numbers are used to transform all of these targets.</p>
+<p>However, some transformations might behave slightly differently for the individual
+target types. For example, <code class="xref py py-class docutils literal notranslate"><span class="pre">RandomCrop</span></code> works in the same way for all target types, while
+<code class="xref py py-class docutils literal notranslate"><span class="pre">RandomGaussianNoise</span></code> only affects the <code class="xref py py-class docutils literal notranslate"><span class="pre">image</span></code> target and leaves the <code class="xref py py-class docutils literal notranslate"><span class="pre">mask</span></code> and
+<code class="xref py py-class docutils literal notranslate"><span class="pre">float_mask</span></code> targets unchanged. Please consult the documentation of respective transforms
+for more details.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">bio_volumentations</span> <span class="kn">import</span> <span class="n">Compose</span><span class="p">,</span> <span class="n">RandomGamma</span><span class="p">,</span> <span class="n">RandomRotate90</span><span class="p">,</span> <span class="n">GaussianBlur</span>
+
+<span class="c1"># Create the transformation using Compose from a list of transformations</span>
+<span class="n">aug</span> <span class="o">=</span> <span class="n">Compose</span><span class="p">([</span>
+ <span class="n">RandomGamma</span><span class="p">(</span><span class="n">gamma_limit</span> <span class="o">=</span> <span class="p">(</span><span class="mf">0.8</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">),</span> <span class="n">p</span> <span class="o">=</span> <span class="mf">0.8</span><span class="p">),</span>
+ <span class="n">RandomRotate90</span><span class="p">(</span><span class="n">axes</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">p</span> <span class="o">=</span> <span class="mi">1</span><span class="p">),</span>
+ <span class="n">GaussianBlur</span><span class="p">(</span><span class="n">sigma</span> <span class="o">=</span> <span class="mf">1.2</span><span class="p">,</span> <span class="n">p</span> <span class="o">=</span> <span class="mf">0.8</span><span class="p">)</span>
+ <span class="p">])</span>
+
+<span class="c1"># Generate image and a corresponding labeled image</span>
+<span class="n">img</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">128</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span><span class="p">)</span>
+<span class="n">lbl</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">)</span>
+
+<span class="c1"># Transform the images</span>
+<span class="c1"># Notice that the images must be passed as keyword arguments to the transformation pipeline</span>
+<span class="c1"># and extracted from the outputted dictionary.</span>
+<span class="n">data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'image'</span><span class="p">:</span> <span class="n">img</span><span class="p">,</span> <span class="s1">'mask'</span><span class="p">:</span> <span class="n">lbl</span><span class="p">}</span>
+<span class="n">aug_data</span> <span class="o">=</span> <span class="n">aug</span><span class="p">(</span><span class="o">**</span><span class="n">data</span><span class="p">)</span>
+<span class="n">transformed_img</span><span class="p">,</span> <span class="n">transformed_lbl</span> <span class="o">=</span> <span class="n">aug_data</span><span class="p">[</span><span class="s1">'image'</span><span class="p">],</span> <span class="n">aug_data</span><span class="p">[</span><span class="s1">'mask'</span><span class="p">]</span>
+</pre></div>
+</div>
+</section>
+<section id="example-transforming-multiple-images-of-the-same-target-type">
+<h2>Example: Transforming Multiple Images of the Same Target Type<a class="headerlink" href="#example-transforming-multiple-images-of-the-same-target-type" title="Link to this heading">ď</a></h2>
+<p>Although there are only three target types, one input arbitrary number of images to any
+transformation. To achieve this, one has to define the value of the <code class="xref py py-class docutils literal notranslate"><span class="pre">targets</span></code> argument
+when creating a <code class="xref py py-class docutils literal notranslate"><span class="pre">Compose</span></code> object.</p>
+<p>The <code class="xref py py-class docutils literal notranslate"><span class="pre">targets</span></code> must be a list with 3 items: a list with names of <code class="xref py py-class docutils literal notranslate"><span class="pre">image</span></code>-type targets,
+a list with names of <code class="xref py py-class docutils literal notranslate"><span class="pre">mask</span></code>-type targets, and
+a list with names of <code class="xref py py-class docutils literal notranslate"><span class="pre">float_mask</span></code>-type targets. The specified names will then be used
+to input the images to the transformation call as well as during extracting the
+transformed images from the outputted dictionary. Please see the code below
+for a practical example.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="kn">from</span> <span class="nn">bio_volumentations</span> <span class="kn">import</span> <span class="n">Compose</span><span class="p">,</span> <span class="n">RandomGamma</span><span class="p">,</span> <span class="n">RandomRotate90</span><span class="p">,</span> <span class="n">GaussianBlur</span>
+
+<span class="c1"># Create the transformation using Compose from a list of transformations and define targets</span>
+<span class="n">aug</span> <span class="o">=</span> <span class="n">Compose</span><span class="p">([</span>
+ <span class="n">RandomGamma</span><span class="p">(</span> <span class="n">gamma_limit</span> <span class="o">=</span> <span class="p">(</span><span class="mf">0.8</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">),</span> <span class="n">p</span> <span class="o">=</span> <span class="mf">0.8</span><span class="p">),</span>
+ <span class="n">RandomRotate90</span><span class="p">(</span><span class="n">axes</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">p</span> <span class="o">=</span> <span class="mi">1</span><span class="p">),</span>
+ <span class="n">GaussianBlur</span><span class="p">(</span><span class="n">sigma</span> <span class="o">=</span> <span class="mf">1.2</span><span class="p">,</span> <span class="n">p</span> <span class="o">=</span> <span class="mf">0.8</span><span class="p">)</span>
+ <span class="p">],</span>
+ <span class="n">targets</span><span class="o">=</span> <span class="p">[</span> <span class="p">[</span><span class="s1">'image'</span> <span class="p">,</span> <span class="s1">'image1'</span><span class="p">]</span> <span class="p">,</span> <span class="p">[</span><span class="s1">'mask'</span><span class="p">],</span> <span class="p">[</span><span class="s1">'float_mask'</span><span class="p">]</span> <span class="p">])</span>
+
+<span class="c1"># Generate the image data</span>
+<span class="n">img</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">128</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span><span class="p">)</span>
+<span class="n">img1</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">128</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span><span class="p">)</span>
+<span class="n">lbl</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">randint</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="p">(</span><span class="mi">128</span><span class="p">,</span> <span class="mi">256</span><span class="p">,</span> <span class="mi">256</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">)</span>
+
+<span class="c1"># Transform the images</span>
+<span class="c1"># Notice that the images must be passed as keyword arguments to the transformation pipeline</span>
+<span class="c1"># and extracted from the outputted dictionary.</span>
+<span class="n">data</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'image'</span><span class="p">:</span> <span class="n">img</span><span class="p">,</span> <span class="s1">'image1'</span><span class="p">:</span> <span class="n">img1</span><span class="p">,</span> <span class="s1">'mask'</span><span class="p">:</span> <span class="n">lbl</span><span class="p">}</span>
+<span class="n">aug_data</span> <span class="o">=</span> <span class="n">aug</span><span class="p">(</span><span class="o">**</span><span class="n">data</span><span class="p">)</span>
+<span class="n">transformed_img</span> <span class="o">=</span> <span class="n">aug_data</span><span class="p">[</span><span class="s1">'image'</span><span class="p">]</span>
+<span class="n">transformed_img1</span> <span class="o">=</span> <span class="n">aug_data</span><span class="p">[</span><span class="s1">'image1'</span><span class="p">]</span>
+<span class="n">transformed_lbl</span> <span class="o">=</span> <span class="n">aug_data</span><span class="p">[</span><span class="s1">'mask'</span><span class="p">]</span>
+</pre></div>
+</div>
+</section>
+</section>
+
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+
+ <ul>
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+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Contiguous.apply">(bio_volumentations.augmentations.transforms.Contiguous method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Contiguous.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Flip.apply">(bio_volumentations.augmentations.transforms.Flip method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Flip.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Float.apply">(bio_volumentations.augmentations.transforms.Float method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Float.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianBlur.apply">(bio_volumentations.augmentations.transforms.GaussianBlur method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.GaussianBlur.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianNoise.apply">(bio_volumentations.augmentations.transforms.GaussianNoise method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.GaussianNoise.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.HistogramEqualization.apply">(bio_volumentations.augmentations.transforms.HistogramEqualization method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.HistogramEqualization.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Normalize.apply">(bio_volumentations.augmentations.transforms.Normalize method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Normalize.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.NormalizeMeanStd.apply">(bio_volumentations.augmentations.transforms.NormalizeMeanStd method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.NormalizeMeanStd.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Pad.apply">(bio_volumentations.augmentations.transforms.Pad method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Pad.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.PoissonNoise.apply">(bio_volumentations.augmentations.transforms.PoissonNoise method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.PoissonNoise.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply">(bio_volumentations.augmentations.transforms.RandomAffineTransform method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.apply">(bio_volumentations.augmentations.transforms.RandomBrightnessContrast method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomCrop.apply">(bio_volumentations.augmentations.transforms.RandomCrop method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomCrop.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomFlip.apply">(bio_volumentations.augmentations.transforms.RandomFlip method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomFlip.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGamma.apply">(bio_volumentations.augmentations.transforms.RandomGamma method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomGamma.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGaussianBlur.apply">(bio_volumentations.augmentations.transforms.RandomGaussianBlur method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomGaussianBlur.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomRotate90.apply">(bio_volumentations.augmentations.transforms.RandomRotate90 method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomRotate90.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomScale.apply">(bio_volumentations.augmentations.transforms.RandomScale method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomScale.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Resize.apply">(bio_volumentations.augmentations.transforms.Resize method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Resize.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Scale.apply">(bio_volumentations.augmentations.transforms.Scale method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Scale.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.ConversionToFormat.apply">(bio_volumentations.conversion.transforms.ConversionToFormat method)</a>, <a href="modules2.html#bio_volumentations.conversion.transforms.ConversionToFormat.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.NoConversion.apply">(bio_volumentations.conversion.transforms.NoConversion method)</a>, <a href="modules2.html#bio_volumentations.conversion.transforms.NoConversion.apply">[1]</a>
+</li>
+ <li><a href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.Transform.apply">(bio_volumentations.core.transforms_interface.Transform method)</a>, <a href="modules2.html#bio_volumentations.core.transforms_interface.Transform.apply">[1]</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.DualTransform.apply_to_float_mask">apply_to_float_mask() (bio_volumentations.core.transforms_interface.DualTransform method)</a>, <a href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform.apply_to_float_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.AffineTransform.apply_to_mask">apply_to_mask() (bio_volumentations.augmentations.transforms.AffineTransform method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.AffineTransform.apply_to_mask">[1]</a>
+
+ <ul>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.CenterCrop.apply_to_mask">(bio_volumentations.augmentations.transforms.CenterCrop method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.CenterCrop.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Contiguous.apply_to_mask">(bio_volumentations.augmentations.transforms.Contiguous method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Contiguous.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Flip.apply_to_mask">(bio_volumentations.augmentations.transforms.Flip method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Flip.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Float.apply_to_mask">(bio_volumentations.augmentations.transforms.Float method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Float.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Pad.apply_to_mask">(bio_volumentations.augmentations.transforms.Pad method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Pad.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply_to_mask">(bio_volumentations.augmentations.transforms.RandomAffineTransform method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomCrop.apply_to_mask">(bio_volumentations.augmentations.transforms.RandomCrop method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomCrop.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomFlip.apply_to_mask">(bio_volumentations.augmentations.transforms.RandomFlip method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomFlip.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomRotate90.apply_to_mask">(bio_volumentations.augmentations.transforms.RandomRotate90 method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomRotate90.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomScale.apply_to_mask">(bio_volumentations.augmentations.transforms.RandomScale method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomScale.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Resize.apply_to_mask">(bio_volumentations.augmentations.transforms.Resize method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Resize.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Scale.apply_to_mask">(bio_volumentations.augmentations.transforms.Scale method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Scale.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.ConversionToFormat.apply_to_mask">(bio_volumentations.conversion.transforms.ConversionToFormat method)</a>, <a href="modules2.html#bio_volumentations.conversion.transforms.ConversionToFormat.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.NoConversion.apply_to_mask">(bio_volumentations.conversion.transforms.NoConversion method)</a>, <a href="modules2.html#bio_volumentations.conversion.transforms.NoConversion.apply_to_mask">[1]</a>
+</li>
+ <li><a href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.DualTransform.apply_to_mask">(bio_volumentations.core.transforms_interface.DualTransform method)</a>, <a href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform.apply_to_mask">[1]</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li>
+ bio_volumentations.augmentations.transforms
+
+ <ul>
+ <li><a href="bio_volumentations.augmentations.html#module-bio_volumentations.augmentations.transforms">module</a>, <a href="modules2.html#module-bio_volumentations.augmentations.transforms">[1]</a>
+</li>
+ </ul></li>
+ <li>
+ bio_volumentations.conversion.transforms
+
+ <ul>
+ <li><a href="bio_volumentations.conversion.html#module-bio_volumentations.conversion.transforms">module</a>, <a href="modules2.html#module-bio_volumentations.conversion.transforms">[1]</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li>
+ bio_volumentations.core.composition
+
+ <ul>
+ <li><a href="bio_volumentations.core.html#module-bio_volumentations.core.composition">module</a>, <a href="modules2.html#module-bio_volumentations.core.composition">[1]</a>
+</li>
+ </ul></li>
+ <li>
+ bio_volumentations.core.transforms_interface
+
+ <ul>
+ <li><a href="bio_volumentations.core.html#module-bio_volumentations.core.transforms_interface">module</a>, <a href="modules2.html#module-bio_volumentations.core.transforms_interface">[1]</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.CenterCrop">CenterCrop (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.CenterCrop">[1]</a>
+</li>
+ <li><a href="bio_volumentations.core.html#bio_volumentations.core.composition.Compose">Compose (class in bio_volumentations.core.composition)</a>, <a href="modules2.html#bio_volumentations.core.composition.Compose">[1]</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Contiguous">Contiguous (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Contiguous">[1]</a>
+</li>
+ <li><a href="bio_volumentations.conversion.html#bio_volumentations.conversion.transforms.ConversionToFormat">ConversionToFormat (class in bio_volumentations.conversion.transforms)</a>, <a href="modules2.html#bio_volumentations.conversion.transforms.ConversionToFormat">[1]</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="D">D</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.DualTransform">DualTransform (class in bio_volumentations.core.transforms_interface)</a>, <a href="modules2.html#bio_volumentations.core.transforms_interface.DualTransform">[1]</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Flip">Flip (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Flip">[1]</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Float">Float (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Float">[1]</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="G">G</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianBlur">GaussianBlur (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.GaussianBlur">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianNoise">GaussianNoise (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.GaussianNoise">[1]</a>
+</li>
+ <li><a href="bio_volumentations.core.html#bio_volumentations.core.composition.Compose.get_always_apply_transforms">get_always_apply_transforms() (bio_volumentations.core.composition.Compose method)</a>, <a href="modules2.html#bio_volumentations.core.composition.Compose.get_always_apply_transforms">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.Flip.get_params">get_params() (bio_volumentations.augmentations.transforms.Flip method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.Flip.get_params">[1]</a>
+
+ <ul>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.GaussianNoise.get_params">(bio_volumentations.augmentations.transforms.GaussianNoise method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.GaussianNoise.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.PoissonNoise.get_params">(bio_volumentations.augmentations.transforms.PoissonNoise method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.PoissonNoise.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.get_params">(bio_volumentations.augmentations.transforms.RandomAffineTransform method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomAffineTransform.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.get_params">(bio_volumentations.augmentations.transforms.RandomBrightnessContrast method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomCrop.get_params">(bio_volumentations.augmentations.transforms.RandomCrop method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomCrop.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomFlip.get_params">(bio_volumentations.augmentations.transforms.RandomFlip method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomFlip.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGamma.get_params">(bio_volumentations.augmentations.transforms.RandomGamma method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomGamma.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomGaussianBlur.get_params">(bio_volumentations.augmentations.transforms.RandomGaussianBlur method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomGaussianBlur.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomRotate90.get_params">(bio_volumentations.augmentations.transforms.RandomRotate90 method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomRotate90.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomScale.get_params">(bio_volumentations.augmentations.transforms.RandomScale method)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomScale.get_params">[1]</a>
+</li>
+ <li><a href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.Transform.get_params">(bio_volumentations.core.transforms_interface.Transform method)</a>, <a href="modules2.html#bio_volumentations.core.transforms_interface.Transform.get_params">[1]</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="H">H</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.HistogramEqualization">HistogramEqualization (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.HistogramEqualization">[1]</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="I">I</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="bio_volumentations.core.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform">ImageOnlyTransform (class in bio_volumentations.core.transforms_interface)</a>, <a href="modules2.html#bio_volumentations.core.transforms_interface.ImageOnlyTransform">[1]</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="M">M</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li>
+ module
+
+ <ul>
+ <li><a href="bio_volumentations.augmentations.html#module-bio_volumentations.augmentations.transforms">bio_volumentations.augmentations.transforms</a>, <a href="modules2.html#module-bio_volumentations.augmentations.transforms">[1]</a>
+</li>
+ <li><a href="bio_volumentations.conversion.html#module-bio_volumentations.conversion.transforms">bio_volumentations.conversion.transforms</a>, <a href="modules2.html#module-bio_volumentations.conversion.transforms">[1]</a>
+</li>
+ <li><a href="bio_volumentations.core.html#module-bio_volumentations.core.composition">bio_volumentations.core.composition</a>, <a href="modules2.html#module-bio_volumentations.core.composition">[1]</a>
+</li>
+ <li><a href="bio_volumentations.core.html#module-bio_volumentations.core.transforms_interface">bio_volumentations.core.transforms_interface</a>, <a href="modules2.html#module-bio_volumentations.core.transforms_interface">[1]</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="N">N</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
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+</li>
+ </ul></td>
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+
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+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomCrop">RandomCrop (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomCrop">[1]</a>
+</li>
+ <li><a href="bio_volumentations.augmentations.html#bio_volumentations.augmentations.transforms.RandomFlip">RandomFlip (class in bio_volumentations.augmentations.transforms)</a>, <a href="modules2.html#bio_volumentations.augmentations.transforms.RandomFlip">[1]</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
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+</li>
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+</li>
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+
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+ <title>Welcome to Bio-Volumentations’s documentation! — bio-volumentations 1.1.0 documentation</title>
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+
+ <section id="welcome-to-bio-volumentations-s-documentation">
+<h1>Welcome to Bio-Volumentations’s documentation!<a class="headerlink" href="#welcome-to-bio-volumentations-s-documentation" title="Link to this heading">ď</a></h1>
+<p><cite>Bio-Volumentations</cite> is an image augmentation and preprocessing package for 3D, 4D, and 5D biomedical images.</p>
+<p>It offers a wide range of transforms for volumetric images, an easy-to-use API, a neat Getting Started guide,
+and can be used to manipulate your image data in any context.</p>
+<div class="toctree-wrapper compound">
+<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules2.html">Bio-Volumentations Package</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="modules2.html#module-bio_volumentations.augmentations.transforms">Transforms Module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="modules2.html#module-bio_volumentations.conversion.transforms">Conversion Module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="modules2.html#module-bio_volumentations.core.composition">Composition Module</a></li>
+<li class="toctree-l2"><a class="reference internal" href="modules2.html#module-bio_volumentations.core.transforms_interface">Transforms Interface Module</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Getting Started</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="examples.html#installation">Installation</a></li>
+<li class="toctree-l2"><a class="reference internal" href="examples.html#importing">Importing</a></li>
+<li class="toctree-l2"><a class="reference internal" href="examples.html#how-to-use-the-library">How to Use the Library?</a></li>
+<li class="toctree-l2"><a class="reference internal" href="examples.html#example-transforming-a-single-image">Example: Transforming a Single Image</a></li>
+<li class="toctree-l2"><a class="reference internal" href="examples.html#example-transforming-a-image-pairs">Example: Transforming a Image Pairs</a></li>
+<li class="toctree-l2"><a class="reference internal" href="examples.html#example-transforming-multiple-images-of-the-same-target-type">Example: Transforming Multiple Images of the Same Target Type</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="contributions.html">Copyright</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="contributions.html#id1">Copyright</a></li>
+<li class="toctree-l2"><a class="reference internal" href="contributions.html#contributions">Contributions</a></li>
+<li class="toctree-l2"><a class="reference internal" href="contributions.html#citation">Citation</a></li>
+</ul>
+</li>
+</ul>
+</div>
+<p>The source codes and more details are also available <a class="reference external" href="https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/tree/v1-1-0?ref_type=heads">here</a>.</p>
+</section>
+<section id="indices-and-tables">
+<h1>Indices and tables<a class="headerlink" href="#indices-and-tables" title="Link to this heading">ď</a></h1>
+<ul class="simple">
+<li><p><a class="reference internal" href="genindex.html"><span class="std std-ref">Index</span></a></p></li>
+<li><p><a class="reference internal" href="py-modindex.html"><span class="std std-ref">Module Index</span></a></p></li>
+<li><p><a class="reference internal" href="search.html"><span class="std std-ref">Search Page</span></a></p></li>
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new file mode 100644
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+++ b/docs/build/html/intro.html
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+<!DOCTYPE html>
+<html class="writer-html5" lang="en" data-content_root="./">
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+
+ <section id="introduction">
+<h1>Introduction<a class="headerlink" href="#introduction" title="Link to this heading">ď</a></h1>
+<p><cite>Bio-Volumentations</cite> is an image augmentation and preprocessing package for 3D, 4D, and 5D biomedical images.</p>
+<p>It offers a range of image transformations implemented efficiently for time-lapse multi-channel volumetric image data.
+This includes both preprocessing transformations (such as intensity normalisation, padding, and type casting)
+and augmentation transformations (such as affine transform, noise addition and removal, and contrast manipulation).</p>
+<p>The <cite>Bio-Volumentations</cite> library is a suitable tool for data manipulation in machine learning applications.
+Importantly, it can be used with any major Python deep learning library.</p>
+<p>This library builds upon wide-spread libraries such as Albumentations (see the Contributions section below)
+in terms of design and user interface. Therefore, it can easily be adopted by users.</p>
+<p>The source codes and more details are also available <a class="reference external" href="https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/tree/v1-1-0?ref_type=heads">here</a>.</p>
+</section>
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+ <a href="index.html" class="btn btn-neutral float-left" title="Welcome to Bio-Volumentations’s documentation!" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
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+<li class="toctree-l1"><a class="reference internal" href="modules2.html">Bio-Volumentations Package</a></li>
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+ <section id="bio-volumentations">
+<h1>bio_volumentations<a class="headerlink" href="#bio-volumentations" title="Link to this heading">ď</a></h1>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="bio_volumentations.html">bio_volumentations package</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="bio_volumentations.html#subpackages">Subpackages</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.augmentations.html">bio_volumentations.augmentations package</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.augmentations.html#module-bio_volumentations.augmentations.transforms">bio_volumentations.augmentations.transforms module</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.conversion.html">bio_volumentations.conversion package</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.conversion.html#module-bio_volumentations.conversion.transforms">bio_volumentations.conversion.transforms module</a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="bio_volumentations.core.html">bio_volumentations.core package</a><ul>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.core.html#module-bio_volumentations.core.composition">bio_volumentations.core.composition module</a></li>
+<li class="toctree-l4"><a class="reference internal" href="bio_volumentations.core.html#module-bio_volumentations.core.transforms_interface">bio_volumentations.core.transforms_interface module</a></li>
+</ul>
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diff --git a/docs/build/html/modules2.html b/docs/build/html/modules2.html
new file mode 100644
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--- /dev/null
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@@ -0,0 +1,1248 @@
+<!DOCTYPE html>
+<html class="writer-html5" lang="en" data-content_root="./">
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+ <title>Bio-Volumentations Package — bio-volumentations 1.1.0 documentation</title>
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+ </div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
+ <p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Bio-Volumentations Package</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#module-bio_volumentations.augmentations.transforms">Transforms Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.AffineTransform"><code class="docutils literal notranslate"><span class="pre">AffineTransform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.AffineTransform.apply"><code class="docutils literal notranslate"><span class="pre">AffineTransform.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.AffineTransform.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">AffineTransform.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.CenterCrop"><code class="docutils literal notranslate"><span class="pre">CenterCrop</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.CenterCrop.apply"><code class="docutils literal notranslate"><span class="pre">CenterCrop.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.CenterCrop.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">CenterCrop.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Contiguous"><code class="docutils literal notranslate"><span class="pre">Contiguous</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Contiguous.apply"><code class="docutils literal notranslate"><span class="pre">Contiguous.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Contiguous.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Contiguous.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Flip"><code class="docutils literal notranslate"><span class="pre">Flip</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Flip.apply"><code class="docutils literal notranslate"><span class="pre">Flip.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Flip.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Flip.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Flip.get_params"><code class="docutils literal notranslate"><span class="pre">Flip.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Float"><code class="docutils literal notranslate"><span class="pre">Float</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Float.apply"><code class="docutils literal notranslate"><span class="pre">Float.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Float.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Float.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.GaussianBlur"><code class="docutils literal notranslate"><span class="pre">GaussianBlur</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.GaussianBlur.apply"><code class="docutils literal notranslate"><span class="pre">GaussianBlur.apply()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.GaussianNoise"><code class="docutils literal notranslate"><span class="pre">GaussianNoise</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.GaussianNoise.apply"><code class="docutils literal notranslate"><span class="pre">GaussianNoise.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.GaussianNoise.get_params"><code class="docutils literal notranslate"><span class="pre">GaussianNoise.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.HistogramEqualization"><code class="docutils literal notranslate"><span class="pre">HistogramEqualization</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.HistogramEqualization.apply"><code class="docutils literal notranslate"><span class="pre">HistogramEqualization.apply()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Normalize"><code class="docutils literal notranslate"><span class="pre">Normalize</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Normalize.apply"><code class="docutils literal notranslate"><span class="pre">Normalize.apply()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.NormalizeMeanStd"><code class="docutils literal notranslate"><span class="pre">NormalizeMeanStd</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.NormalizeMeanStd.apply"><code class="docutils literal notranslate"><span class="pre">NormalizeMeanStd.apply()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Pad"><code class="docutils literal notranslate"><span class="pre">Pad</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Pad.apply"><code class="docutils literal notranslate"><span class="pre">Pad.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Pad.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Pad.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.PoissonNoise"><code class="docutils literal notranslate"><span class="pre">PoissonNoise</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.PoissonNoise.apply"><code class="docutils literal notranslate"><span class="pre">PoissonNoise.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.PoissonNoise.get_params"><code class="docutils literal notranslate"><span class="pre">PoissonNoise.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform"><code class="docutils literal notranslate"><span class="pre">RandomAffineTransform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply"><code class="docutils literal notranslate"><span class="pre">RandomAffineTransform.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomAffineTransform.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.get_params"><code class="docutils literal notranslate"><span class="pre">RandomAffineTransform.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast"><code class="docutils literal notranslate"><span class="pre">RandomBrightnessContrast</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.apply"><code class="docutils literal notranslate"><span class="pre">RandomBrightnessContrast.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.get_params"><code class="docutils literal notranslate"><span class="pre">RandomBrightnessContrast.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomCrop"><code class="docutils literal notranslate"><span class="pre">RandomCrop</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomCrop.apply"><code class="docutils literal notranslate"><span class="pre">RandomCrop.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomCrop.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomCrop.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomCrop.get_params"><code class="docutils literal notranslate"><span class="pre">RandomCrop.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomFlip"><code class="docutils literal notranslate"><span class="pre">RandomFlip</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomFlip.apply"><code class="docutils literal notranslate"><span class="pre">RandomFlip.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomFlip.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomFlip.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomFlip.get_params"><code class="docutils literal notranslate"><span class="pre">RandomFlip.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomGamma"><code class="docutils literal notranslate"><span class="pre">RandomGamma</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomGamma.apply"><code class="docutils literal notranslate"><span class="pre">RandomGamma.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomGamma.get_params"><code class="docutils literal notranslate"><span class="pre">RandomGamma.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur"><code class="docutils literal notranslate"><span class="pre">RandomGaussianBlur</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur.apply"><code class="docutils literal notranslate"><span class="pre">RandomGaussianBlur.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur.get_params"><code class="docutils literal notranslate"><span class="pre">RandomGaussianBlur.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomRotate90"><code class="docutils literal notranslate"><span class="pre">RandomRotate90</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomRotate90.apply"><code class="docutils literal notranslate"><span class="pre">RandomRotate90.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomRotate90.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomRotate90.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomRotate90.get_params"><code class="docutils literal notranslate"><span class="pre">RandomRotate90.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomScale"><code class="docutils literal notranslate"><span class="pre">RandomScale</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomScale.apply"><code class="docutils literal notranslate"><span class="pre">RandomScale.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomScale.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">RandomScale.apply_to_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.RandomScale.get_params"><code class="docutils literal notranslate"><span class="pre">RandomScale.get_params()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Resize"><code class="docutils literal notranslate"><span class="pre">Resize</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Resize.apply"><code class="docutils literal notranslate"><span class="pre">Resize.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Resize.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Resize.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Scale"><code class="docutils literal notranslate"><span class="pre">Scale</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Scale.apply"><code class="docutils literal notranslate"><span class="pre">Scale.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.augmentations.transforms.Scale.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">Scale.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="#module-bio_volumentations.conversion.transforms">Conversion Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.conversion.transforms.ConversionToFormat"><code class="docutils literal notranslate"><span class="pre">ConversionToFormat</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.conversion.transforms.ConversionToFormat.apply"><code class="docutils literal notranslate"><span class="pre">ConversionToFormat.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.conversion.transforms.ConversionToFormat.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">ConversionToFormat.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.conversion.transforms.NoConversion"><code class="docutils literal notranslate"><span class="pre">NoConversion</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.conversion.transforms.NoConversion.apply"><code class="docutils literal notranslate"><span class="pre">NoConversion.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.conversion.transforms.NoConversion.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">NoConversion.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="#module-bio_volumentations.core.composition">Composition Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.core.composition.Compose"><code class="docutils literal notranslate"><span class="pre">Compose</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.core.composition.Compose.get_always_apply_transforms"><code class="docutils literal notranslate"><span class="pre">Compose.get_always_apply_transforms()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l2"><a class="reference internal" href="#module-bio_volumentations.core.transforms_interface">Transforms Interface Module</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform"><code class="docutils literal notranslate"><span class="pre">DualTransform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform.apply_to_float_mask"><code class="docutils literal notranslate"><span class="pre">DualTransform.apply_to_float_mask()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform.apply_to_mask"><code class="docutils literal notranslate"><span class="pre">DualTransform.apply_to_mask()</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform.targets"><code class="docutils literal notranslate"><span class="pre">ImageOnlyTransform.targets</span></code></a></li>
+</ul>
+</li>
+<li class="toctree-l3"><a class="reference internal" href="#bio_volumentations.core.transforms_interface.Transform"><code class="docutils literal notranslate"><span class="pre">Transform</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.core.transforms_interface.Transform.apply"><code class="docutils literal notranslate"><span class="pre">Transform.apply()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="#bio_volumentations.core.transforms_interface.Transform.get_params"><code class="docutils literal notranslate"><span class="pre">Transform.get_params()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Getting Started</a></li>
+<li class="toctree-l1"><a class="reference internal" href="contributions.html">Copyright</a></li>
+</ul>
+
+ </div>
+ </div>
+ </nav>
+
+ <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
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+
+ <section id="bio-volumentations-package">
+<h1>Bio-Volumentations Package<a class="headerlink" href="#bio-volumentations-package" title="Link to this heading">ď</a></h1>
+<section id="module-bio_volumentations.augmentations.transforms">
+<span id="transforms-module"></span><h2>Transforms Module<a class="headerlink" href="#module-bio_volumentations.augmentations.transforms" title="Link to this heading">ď</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.AffineTransform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">AffineTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angles</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">change_to_isotropic</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.AffineTransform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Affine transformation of the input image with given parameters.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>angles (Tuple[float], optional): angles of rotation for the spatial axes.</dt><dd><p>Must be: (A_Z, A_Y, A_X).
+Defaults to (0, 0, 0).</p>
+</dd>
+<dt>translation (Tuple[float], optional): translation vector for the spatial axes.</dt><dd><p>Must be: (T_Z, T_Y, T_X).
+Defaults to (0, 0, 0).</p>
+</dd>
+<dt>scale (Tuple[float], optional): scales for the spatial axes.</dt><dd><p>Must be: (S_Z, S_Y, S_X).
+Defaults to (1, 1, 1).</p>
+</dd>
+<dt>spacing (float | Tuple[float, float, float] | None, optional): voxel spacing for individual spatial dimensions.</dt><dd><p>Must be: (S1, S2, S3).
+Defaults to (1, 1, 1).</p>
+</dd>
+</dl>
+<p>change_to_isotropic (bool, optional): Change data from anisotropic to isotropic. Defaults to False.
+interpolation (Int, optional): The order of spline interpolation. Defaults to 1.
+border_mode (str, optional): The mode parameter determines how the input array is extended beyond its</p>
+<blockquote>
+<div><p>boundaries. Defaults to â€constant’.</p>
+</div></blockquote>
+<p>ival (float, optional): Value to fill past edges of image if mode is â€constant’. Defaults to 0.
+mval (float, optional): Value to fill past edges of mask if mode is â€constant’. Defaults to 0.
+ignore_index ( float | None, optional): If ignore_index is float, then transformation of mask is done with</p>
+<blockquote>
+<div><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.AffineTransform.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.AffineTransform.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.AffineTransform.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.AffineTransform.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.CenterCrop">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">CenterCrop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.CenterCrop" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Crops the central region of the input of given size.</p>
+<p>Unlike CenterCrop from Albumentations, this transform pads the input in dimensions
+where the input is smaller than the <cite>shape</cite> with <cite>numpy.pad</cite>. The <cite>border_mode</cite>, <cite>ival</cite> and <cite>mval</cite>
+arguments are forwarded to <cite>numpy.pad</cite> if padding is necessary. More details at:
+<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.pad.html">https://numpy.org/doc/stable/reference/generated/numpy.pad.html</a>.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>shape (Tuple[int]): the desired shape of input.</dt><dd><p>Must be either of: [Z, Y, X] or [Z, Y, X, T].</p>
+</dd>
+</dl>
+<p>border_mode (str, optional): border mode used for numpy.pad. Defaults to “reflect”.
+ival (Tuple[float], optional): values used for â€constant’ or â€linear_ramp’ for image. Defaults to (0, 0).
+mval (Tuple[float], optional): values used for â€constant’ or â€linear_ramp’ for mask. Defaults to (0, 0).
+ignore_index (float | None, optional): if <cite>ignore_index</cite> is a float, then transformation of mask is done with</p>
+<blockquote>
+<div><p><cite>border_mode = “constant”</cite> and <cite>mval = ignore_index</cite>. If ignore_index is <cite>None</cite>, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.CenterCrop.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.CenterCrop.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.CenterCrop.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.CenterCrop.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Contiguous">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Contiguous</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Contiguous" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Transform the image data to a contiguous array.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Contiguous.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Contiguous.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Contiguous.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Contiguous.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Flip">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Flip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Flip" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Flip input around the specified spatial axes.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>axes (List[int], optional): list of axes around which is flip done (recognised axis symbols are</dt><dd><p>1 for Z, 2 for Y, and 3 for X). Defaults to [1,2,3].</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Flip.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Flip.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Flip.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Flip.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Flip.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Flip.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Float">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Float</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Float" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Change datatype to np.float32 without changing the image values.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Float.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Float.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Float.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Float.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianBlur">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">GaussianBlur</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sigma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianBlur" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Performs Gaussian blur on the image. In case of a multi-channel image, individual channels are blured separately.</p>
+<dl class="simple">
+<dt>Internally, the scipy <cite>gaussian_filter</cite> function is used. The <cite>border_mode</cite> and`cval`,</dt><dd><p>arguments are forwarded to it. More details at:</p>
+</dd>
+</dl>
+<p><a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html">https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html</a>.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>sigma (float, Tuple(float), List[Tuple(float) | float] , optional): Gaussian sigma.</dt><dd><p>Must be either of: S, (S_Z, S_Y, S_X), (S_Z, S_Y, S_X, S_T), [S_1, S_2, …, S_C],
+[(S_Z1, S_Y1, S_X1), (S_Z2, S_Y2, S_X2), …, (S_ZC, S_YC, S_XC)], or
+[(S_Z1, S_Y1, S_X1, S_T1), (S_Z2, S_Y2, S_X2, S_T2), …, (S_ZC, S_YC, S_XC, S_TC)].
+If a float, the spatial dimensions are blurred equivalently (equivalent to (S, S, S)).
+If a tuple, the sigmas for spatial dimensions and possibly the time dimension must be specified.
+If a list, sigmas for each channel must be specified either as a single number or as a tuple.
+Defaults to 0.8.</p>
+</dd>
+<dt>border_mode (str, optional): The mode parameter determines how the input array is extended beyond its</dt><dd><p>boundaries. Defaults to “reflect”.</p>
+</dd>
+</dl>
+<p>cval (float, optional): Value to fill past edges of image if mode is â€constant’. Defaults to 0.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianBlur.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianBlur.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianNoise">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">GaussianNoise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">var_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.001,</span> <span class="pre">0.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianNoise" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Adds Gaussian noise to the image. The noise is drawn from normal distribution with given parameters.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>var_limit (tuple, optional): variance of normal distribution is randomly chosen from this interval.</dt><dd><p>Defaults to (0.001, 0.1).</p>
+</dd>
+</dl>
+<p>mean (float, optional): mean of normal distribution. Defaults to 0.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianNoise.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianNoise.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.GaussianNoise.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.GaussianNoise.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.HistogramEqualization">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">HistogramEqualization</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">bins</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">256</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.HistogramEqualization" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Performs equalization of histogram. The equalization is done channel-wise, meaning that each channel is equalized
+separately.</p>
+<p>Warning! Images are normalized over both spatial and temporal domains together. The output is in the range [0, 1].</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>bins (int, optional): Number of bins for image histogram. Defaults to 256.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.HistogramEqualization.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.HistogramEqualization.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Normalize">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Normalize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Normalize" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Change image mean and standard deviation to the given values (channel-wise).</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>mean (float | List[float], optional): the desired channel-wise means.</dt><dd><p>Must be either of: M, [M_1, M_2, …, M_C]. Defaults to 0.</p>
+</dd>
+<dt>std (float | List[float], optional): the desired channel-wise standard deviations.</dt><dd><p>Must be either of: S, [S_1, S_2, …, S_C]. Defaults to 1.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Normalize.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Normalize.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.NormalizeMeanStd">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">NormalizeMeanStd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">std</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.NormalizeMeanStd" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Normalize image values to have mean 0 and standard deviation 1, given channel-wise means and standard deviations.</p>
+<p>For a single-channel image, the normalization is applied by the formula: <span class="math notranslate nohighlight">\(img = (img - mean) / std\)</span>.
+If the image contains more channels, then the previous formula is used for each channel separately.</p>
+<p>It is recommended to input dataset-wide means and standard deviations.</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>mean (float | List[float]): channel-wise image mean. Must be either of: M, (M_1, M_2, …, M_C).
+std (float | List[float]): channel-wise image standard deviation. Must be either of: S, (S_1, S_2, …, S_C).
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.NormalizeMeanStd.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">image</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.NormalizeMeanStd.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Pad">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Pad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">pad_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Pad" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Pads the input based on pad_size.</p>
+<p>If pad_size is a single number, all spatial axes are padded on both sides
+with this number. If it is tuple, then it has same behaviour as pad_size except sides are padded with different
+number of pixels. If it is List, then it must have 3 items, which define padding for each spatial dimension
+separately (in either of the ways described above). If the List is shorter, remaining axes are padded with 0.</p>
+<p>For other parameters check <a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.pad.html">https://numpy.org/doc/stable/reference/generated/numpy.pad.html</a></p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>pad_size (int | Tuple[int] | List[int | Tuple[int]]): number of pixels padded to the edges of each axis.</dt><dd><p>Must be either of: P, (P1, P2), [P_Z, P_Y, P_X], [P_Z, P_Y, P_X, P_T],
+[(P_Z1, P_Z2), (P_Y1, P_Y2), (P_X1, P_X2)], or
+[(P_Z1, P_Z2), (P_Y1, P_Y2), (P_X1, P_X2), (P_T1, P_T2)].
+If an integer, it is equivalent to [(P, P), (P, P), (P, P)].
+If a tuple, it is equivalent to [(P1, P2), (P1, P2), (P1, P2)].
+If a list, it must specify padding for all spatial dimensions and possibly also for the time dimension.
+The unspecified dimensions (C and possibly T) are not affected.</p>
+</dd>
+</dl>
+<p>border_mode (str, optional): <cite>numpy.pad</cite> parameter . Defaults to â€constant’.
+ival (float | Sequence, optional): value for image if needed by chosen border_mode. Defaults to 0.
+mval (float | Sequence, optional): value for mask if needed by chosen border_mode. Defaults to 0.
+ignore_index ( float | None, optional): If ignore_index is float, then transformation of mask is done with</p>
+<blockquote>
+<div><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Pad.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Pad.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Pad.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Pad.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.PoissonNoise">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">PoissonNoise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">intensity_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">10)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.PoissonNoise" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Adds poisson noise to the image.</p>
+<dl class="simple">
+<dt>Args:</dt><dd><dl class="simple">
+<dt>intensity_limit (tuple): Range to sample expected intensity of added poisson noise.</dt><dd><p>Defaults to (1, 10).</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.PoissonNoise.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.PoissonNoise.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.PoissonNoise.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.PoissonNoise.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomAffineTransform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomAffineTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">angle_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(15,</span> <span class="pre">15,</span> <span class="pre">15)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">translation_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">scaling_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.2,</span> <span class="pre">0.2,</span> <span class="pre">0.2)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">change_to_isotropic</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Affine transformation of the input image with randomly chosen parameters.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>angle_limit (Tuple[float] | float, optional): intervals in degrees from which angles of</dt><dd><p>rotation for the spatial axes are chosen.
+Must be either of: A, (A1, A2), or (A_Z1, A_Z2, A_Y1, A_Y2, A_X1, A_X2).
+If a float, equivalent to (-A, A, -A, A, -A, A).
+If a tuple with 2 items, equivalent to (A1, A2, A1, A2, A1, A2).
+If a tuple with 6 items, angle of rotation is randomly chosen from an interval [A_a1, A_a2] for each
+spatial axis.
+Defaults to (15, 15, 15).</p>
+</dd>
+<dt>translation_limit (Tuple[int] | int | None, optional): intervals from which the translation parameters</dt><dd><p>for the spatial axes are chosen.
+Must be either of: T, (T1, T2), or (T_Z1, T_Z2, T_Y1, T_Y2, T_X1, T_X2).
+If a float, equivalent to (-T, T, -T, T, -T, T).
+If a tuple with 2 items, equivalent to (T1, T2, T1, T2, T1, T2).
+If a tuple with 6 items, the translation parameter is randomly chosen from an interval [T_a1, T_a2] for
+each spatial axis.
+Defaults to (0, 0, 0).</p>
+</dd>
+<dt>scaling_limit (Tuple[float] | float, optional): intervals from which the scales for the spatial axes are chosen.</dt><dd><p>Must be either of: S, (S1, S2), or (S_Z1, S_Z2, S_Y1, S_Y2, S_X1, S_X2).
+If a float, equivalent to (1-S, 1+S, 1-S, 1+S, 1-S, 1+S).
+If a tuple with 2 items, equivalent to (S1, S2, S1, S2, S1, S2).
+If a tuple with 6 items, the scale is randomly chosen from an interval [S_a1, S_a2] for
+each spatial axis.
+Defaults to (0.2, 0.2, 0.2).</p>
+</dd>
+<dt>spacing (float | Tuple[float, float, float] | None, optional): voxel spacing for individual spatial dimensions.</dt><dd><p>Must be either of: S, (S1, S2, S3), or None.
+If <cite>None</cite>, equivalent to (1, 1, 1).
+If a float S, equivalent to (S, S, S).
+If a tuple with 3 items, the scale is (S1, S2, S3).
+Defaults to None.</p>
+</dd>
+</dl>
+<p>change_to_isotropic (bool, optional): Change data from anisotropic to isotropic. Defaults to False.
+interpolation (Int, optional): The order of spline interpolation. Defaults to 1.
+border_mode (str, optional): The mode parameter determines how the input array is extended beyond its</p>
+<blockquote>
+<div><p>boundaries. Defaults to â€constant’.</p>
+</div></blockquote>
+<p>ival (float, optional): Value to fill past edges of image if mode is â€constant’. Defaults to 0.
+mval (float, optional): Value to fill past edges of mask if mode is â€constant’. Defaults to 0.
+ignore_index ( float | None, optional): If ignore_index is float, then transformation of mask is done with</p>
+<blockquote>
+<div><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomAffineTransform.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomAffineTransform.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomAffineTransform.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomAffineTransform.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomBrightnessContrast">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomBrightnessContrast</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">brightness_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">contrast_limit</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Randomly change brightness and contrast of the input image.</p>
+<p>Unlike RandomBrightnessContrast from Albumentations, this transform is using the
+formula <span class="math notranslate nohighlight">\(f(a) = (c+1) * a + b\)</span>, where <span class="math notranslate nohighlight">\(c\)</span> is contrast and <span class="math notranslate nohighlight">\(b\)</span> is brightness.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>brightness_limit ((float, float) | float, optional): interval from which the change in brightness is</dt><dd><p>randomly drawn. Must be either of: B, (B1, B2).
+If a float, the interval will be (-B, B).
+If the change in brightness is 0, the brightness will not change.
+Defaults to 0.2.</p>
+</dd>
+<dt>contrast_limit ((float, float) | float, optional): interval from which the change in contrast is</dt><dd><p>randomly drawn. Must be either of: C, (C1, C2).
+If a float, the interval will be (-C, C). If the change in contrast is 1,
+the contrast will not change. Defaults to 0.2.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomBrightnessContrast.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomBrightnessContrast.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomBrightnessContrast.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomCrop">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomCrop</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomCrop" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Randomly crops a region of given size from the input.</p>
+<p>Unlike RandomCrop from Albumentations, this transform pads the input in dimensions
+where the input is smaller than the <cite>shape</cite> with <cite>numpy.pad</cite>. The <cite>border_mode</cite>, <cite>ival</cite> and <cite>mval</cite>
+arguments are forwarded to <cite>numpy.pad</cite> if padding is necessary. More details at:
+<a class="reference external" href="https://numpy.org/doc/stable/reference/generated/numpy.pad.html">https://numpy.org/doc/stable/reference/generated/numpy.pad.html</a>.</p>
+<dl>
+<dt>Args:</dt><dd><p>shape (Tuple[int]): the desired shape of input. Must be either of: [Z, Y, X] or [Z, Y, X, T].
+border_mode (str, optional): border mode used for numpy.pad. Defaults to “reflect”.
+ival (Tuple[float], optional): values used for â€constant’ or â€linear_ramp’ for image. Defaults to (0, 0).
+mval (Tuple[float], optional): values used for â€constant’ or â€linear_ramp’ for mask. Defaults to (0, 0).
+ignore_index (float | None, optional): if <cite>ignore_index</cite> is a float, then transformation of mask is done with</p>
+<blockquote>
+<div><p><cite>border_mode = “constant”</cite> and <cite>mval = ignore_index</cite>. If ignore_index is <cite>None</cite>, then it does nothing.
+Defaults to None.</p>
+</div></blockquote>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomCrop.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">array([0,</span> <span class="pre">0,</span> <span class="pre">0])</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomCrop.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomCrop.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">crop_start</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">array([0,</span> <span class="pre">0,</span> <span class="pre">0])</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomCrop.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomCrop.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomCrop.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomFlip">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomFlip</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes_to_choose</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomFlip" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Flip input around a set of axes randomly chosen from the input list of axis combinations.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>axes_to_choose (List[Tuple[int]] or None, optional): a list of axis combinations from which one option</dt><dd><p>is randomly chosen (recognised axis symbols are 1 for Z, 2 for Y, and 3 for X).
+The image will be flipped around all axes in the chosen combination.
+If None, a random subset of spatial axes is chosen, corresponding to inputting
+[(1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)].
+Defaults to None.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomFlip.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomFlip.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomFlip.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomFlip.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomFlip.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomFlip.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGamma">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomGamma</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gamma_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.8,</span> <span class="pre">1.2)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGamma" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Performs the gamma transform with a randomly chosen gamma. If image values (in any channel) are outside
+the [0,1] interval, this transformation is skipped.</p>
+<dl class="simple">
+<dt>Args:</dt><dd><p>gamma_limit (Tuple(float), optional): interval from which gamma is selected. Defaults to (0.8, 1.2).
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGamma.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gamma</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGamma.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGamma.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGamma.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGaussianBlur">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomGaussianBlur</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">max_sigma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_sigma</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="bio_volumentations.core.transforms_interface.ImageOnlyTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">ImageOnlyTransform</span></code></a></p>
+<p>Performs Gaussian blur on the image with a random strength blurring.
+In case of a multi-channel image, individual channels are blured separately.</p>
+<p>Behaves similarly to GaussianBlur. The Gaussian sigma is randomly drawn from
+the interval [min_sigma, s] for the respective s from max_sigma for each channel and dimension.</p>
+<dl class="simple">
+<dt>Internally, the scipy <cite>gaussian_filter</cite> function is used. The <cite>border_mode</cite> and`cval`,</dt><dd><p>arguments are forwarded to it. More details at:</p>
+</dd>
+</dl>
+<p><a class="reference external" href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html">https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.gaussian_filter.html</a>.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>max_sigma (float, Tuple(float), List[Tuple(float) | float] , optional): maximum Gaussian sigma.</dt><dd><p>Must be either of: S, (S_Z, S_Y, S_X), (S_Z, S_Y, S_X, S_T), [S_1, S_2, …, S_C],
+[(S_Z1, S_Y1, S_X1), (S_Z2, S_Y2, S_X2), …, (S_ZC, S_YC, S_XC)], or
+[(S_Z1, S_Y1, S_X1, S_T1), (S_Z2, S_Y2, S_X2, S_T2), …, (S_ZC, S_YC, S_XC, S_TC)].
+If a float, the spatial dimensions are blurred equivalently (equivalent to (S, S, S)).
+If a tuple, the sigmas for spatial dimensions and possibly the time dimension must be specified.
+If a list, sigmas for each channel must be specified either as a single number or as a tuple.
+Defaults to 0.8.</p>
+</dd>
+<dt>min_sigma (float, optional): minimum Gaussian sigma. It is the same for all channels and dimensions.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>border_mode (str, optional): The mode parameter determines how the input array is extended beyond its</dt><dd><p>boundaries. Defaults to “reflect”.</p>
+</dd>
+</dl>
+<p>cval (float, optional): Value to fill past edges of image if mode is â€constant’. Defaults to 0.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGaussianBlur.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomGaussianBlur.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomGaussianBlur.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomRotate90">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomRotate90</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">axes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">List</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shuffle_axis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomRotate90" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Rotation of input by 0, 90, 180, or 270 degrees around the specified spatial axes.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>axes (List[int], optional): list of axes around which the input is rotated (recognised axis symbols are</dt><dd><p>1 for Z, 2 for Y, and 3 for X). A single axis can occur multiple times in the list.
+If <cite>shuffle_axis</cite> is <cite>False</cite>, the order of axes determines the order of transformations.
+Defaults to [1, 2, 3].</p>
+</dd>
+</dl>
+<p>shuffle_axis (bool, optional): If set to <cite>True</cite>, order of rotations is random. Defaults to False.
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomRotate90.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomRotate90.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomRotate90.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomRotate90.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomRotate90.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomRotate90.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomScale">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">RandomScale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scaling_limit</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">(0.9,</span> <span class="pre">1.1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomScale" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Randomly rescale input.</p>
+<dl>
+<dt>Args:</dt><dd><dl>
+<dt>scaling_limit (float | Tuple[float] | List[Tuple[float]], optional): Limits of scaling factors.</dt><dd><p>Must be either of: S, (S1, S2), (S_Z, S_Y, S_X), or (S_Z1, S_Z2, S_Y1, S_Y2, S_X1, S_X2)
+If it is a float S, then all spatial dimensions are scaled by a random number drawn uniformly from</p>
+<blockquote>
+<div><p>the interval [1-S, 1+S] (equivalent to inputting (1-S, 1+S, 1-S, 1+S, 1-S, 1+S)).</p>
+</div></blockquote>
+<dl class="simple">
+<dt>If it is a tuple of 2 numbers, then all spatial dimensions are scaled by a random number drawn uniformly</dt><dd><p>from the interval [S1, S2] (equivalent to inputting (S1, S2, S1, S2, S1, S2)).</p>
+</dd>
+<dt>If it is a tuple of 3 numbers, then an interval [1-S_a, 1+S_a] is constructed for each spatial</dt><dd><p>dimension and the scale is randomly drawn from it
+(equivalent to inputting (1-S_Z, 1+S_Z, 1-S_Y, 1+S_Y, 1-S_X, 1+S_X)).</p>
+</dd>
+<dt>If it is a tuple of 6 numbers, the scales for individual spatial dimensions are randomly drawn from the</dt><dd><p>respective intervals [S_Z1, S_Z2], [S_Y1, S_Y2], [S_X1, S_X2].</p>
+</dd>
+</dl>
+<p>The unspecified dimensions (C and T) are not affected. Defaults to (0.9, 1.1).</p>
+</dd>
+</dl>
+<p>interpolation (int, optional): order of spline interpolation for image. Defaults to 1.
+border_mode (str, optional): values outside image domain are filled according to the mode.</p>
+<blockquote>
+<div><p>Defaults to â€constant’.</p>
+</div></blockquote>
+<dl class="simple">
+<dt>ival (float, optional): value outside of image when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>mval (float, optional): value outside of mask when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </dt><dd><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</dd>
+</dl>
+<p>spacing (TripleFloats | float | None)
+always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 0.5.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomScale.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomScale.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomScale.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomScale.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.RandomScale.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.RandomScale.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Resize">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Resize</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'reflect'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">anti_aliasing_downsample</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Resize" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Resize input to the given shape.</p>
+<dl class="simple">
+<dt>Internally, the skimage <cite>resize</cite> function is used. The <cite>interpolation</cite>, <cite>border_mode</cite>, <cite>ival</cite>, <cite>mval</cite>,</dt><dd><p>and <cite>anti_aliasing_downsample</cite> arguments are forwarded to it. More details at:</p>
+</dd>
+</dl>
+<p><a class="reference external" href="https://scikit-image.org/docs/stable/api/skimage.transform.html#skimage.transform.resize">https://scikit-image.org/docs/stable/api/skimage.transform.html#skimage.transform.resize</a>.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>shape (tuple of ints): the desired image shape. Must be of either of: (Z, Y, X) or (Z, Y, X, T).</dt><dd><p>The unspecified dimensions (C and possibly T) are not affected.</p>
+</dd>
+</dl>
+<p>interpolation (int, optional): order of spline interpolation for image. Defaults to 1.
+border_mode (string, optional): points outside image are filled according to this mode.</p>
+<blockquote>
+<div><p>Defaults to â€reflect’.</p>
+</div></blockquote>
+<dl class="simple">
+<dt>ival (float, optional): value outside of image when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>mval (float, optional): value outside of mask when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>anti_aliasing_downsample (bool, optional): controls if the gaussian filter should be used on image before</dt><dd><p>downsampling, recommended. Defaults to True.</p>
+</dd>
+<dt>ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </dt><dd><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Resize.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Resize.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Resize.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Resize.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Scale">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.augmentations.transforms.</span></span><span class="sig-name descname"><span class="pre">Scale</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">scales</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">spacing</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">float</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">border_mode</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'constant'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ival</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mval</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ignore_index</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Scale" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Rescale input by the given scale.</p>
+<dl>
+<dt>Args:</dt><dd><dl class="simple">
+<dt>scales (float|List[float], optional): Value by which the input should be scaled.</dt><dd><p>Must be either of: S, [S_Z, S_Y, S_X], or [S_Z, S_Y, S_X, S_T].
+If it is a float, then all spatial dimensions are scaled by it (S is equivalent to [S, S, S]).
+The unspecified dimensions (C and possibly T) are not affected.
+Defaults to 1.</p>
+</dd>
+</dl>
+<p>interpolation (int, optional): order of spline interpolation for image. Defaults to 1.
+border_mode (str, optional): points outside image are filled according to this mode.</p>
+<blockquote>
+<div><p>Defaults to â€constant’.</p>
+</div></blockquote>
+<dl class="simple">
+<dt>ival (float, optional): value outside of image when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>mval (float, optional): value outside of mask when the border_mode is chosen to be “constant”.</dt><dd><p>Defaults to 0.</p>
+</dd>
+<dt>ignore_index (float | None, optional): If ignore_index is float, then transformation of mask is done with </dt><dd><p>border_mode = “constant” and mval = ignore_index. If ignore_index is None, then it does nothing.
+Defaults to None.</p>
+</dd>
+</dl>
+<p>always_apply (bool, optional): always apply transformation in composition. Defaults to False.
+p (float, optional): chance of applying transformation in composition. Defaults to 1.</p>
+</dd>
+<dt>Targets:</dt><dd><p>image, mask</p>
+</dd>
+<dt>Image types:</dt><dd><p>float32</p>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Scale.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">img</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Scale.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.augmentations.transforms.Scale.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.augmentations.transforms.Scale.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+<section id="module-bio_volumentations.conversion.transforms">
+<span id="conversion-module"></span><h2>Conversion Module<a class="headerlink" href="#module-bio_volumentations.conversion.transforms" title="Link to this heading">ď</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.ConversionToFormat">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.conversion.transforms.</span></span><span class="sig-name descname"><span class="pre">ConversionToFormat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.ConversionToFormat" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Check the very basic assumptions about the input images.</p>
+<p>Adds channel dimension to the 3D images without it. Checks that shapes of individual target types are
+consistent (to some extent).</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.ConversionToFormat.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">volume</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.ConversionToFormat.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.ConversionToFormat.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.ConversionToFormat.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.NoConversion">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.conversion.transforms.</span></span><span class="sig-name descname"><span class="pre">NoConversion</span></span><a class="headerlink" href="#bio_volumentations.conversion.transforms.NoConversion" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.DualTransform" title="bio_volumentations.core.transforms_interface.DualTransform"><code class="xref py py-class docutils literal notranslate"><span class="pre">DualTransform</span></code></a></p>
+<p>Identity.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.NoConversion.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">volume</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.NoConversion.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.conversion.transforms.NoConversion.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.conversion.transforms.NoConversion.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+<section id="module-bio_volumentations.core.composition">
+<span id="composition-module"></span><h2>Composition Module<a class="headerlink" href="#module-bio_volumentations.core.composition" title="Link to this heading">ď</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.core.composition.Compose">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.core.composition.</span></span><span class="sig-name descname"><span class="pre">Compose</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">transforms</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(['image'],</span> <span class="pre">['mask'],</span> <span class="pre">['float_mask'])</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">conversion</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.composition.Compose" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>Compose a list of transforms into a callable transformation pipeline.</p>
+<p>In addition, basic input image checks and conversions are performed. Optionally, datatype conversion
+(e.g. from numpy.ndarray to torch.Tensor) is performed.</p>
+<dl>
+<dt>Args:</dt><dd><p>transforms (List[Transform]): a list of transforms.
+p (float, optional): chance of applying the whole pipeline. Defaults to 1.
+targets (Tuple[List[str]] | List[List[str]], optional): a list of targets.</p>
+<blockquote>
+<div><p>Defaults to ([â€image’], [â€mask’], [â€float_mask’]).</p>
+</div></blockquote>
+<dl class="simple">
+<dt>conversion (Transform | None, optional): image datatype conversion transform, applied after the transformations.</dt><dd><p>Defaults to None.</p>
+</dd>
+</dl>
+</dd>
+</dl>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.composition.Compose.get_always_apply_transforms">
+<span class="sig-name descname"><span class="pre">get_always_apply_transforms</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.composition.Compose.get_always_apply_transforms" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+<section id="module-bio_volumentations.core.transforms_interface">
+<span id="transforms-interface-module"></span><h2>Transforms Interface Module<a class="headerlink" href="#module-bio_volumentations.core.transforms_interface" title="Link to this heading">ď</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.DualTransform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.core.transforms_interface.</span></span><span class="sig-name descname"><span class="pre">DualTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.DualTransform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.Transform" title="bio_volumentations.core.transforms_interface.Transform"><code class="xref py py-class docutils literal notranslate"><span class="pre">Transform</span></code></a></p>
+<p>The base class of transforms applied to all target types.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.DualTransform.apply_to_float_mask">
+<span class="sig-name descname"><span class="pre">apply_to_float_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">float_mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.DualTransform.apply_to_float_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.DualTransform.apply_to_mask">
+<span class="sig-name descname"><span class="pre">apply_to_mask</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.DualTransform.apply_to_mask" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.ImageOnlyTransform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.core.transforms_interface.</span></span><span class="sig-name descname"><span class="pre">ImageOnlyTransform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <a class="reference internal" href="#bio_volumentations.core.transforms_interface.Transform" title="bio_volumentations.core.transforms_interface.Transform"><code class="xref py py-class docutils literal notranslate"><span class="pre">Transform</span></code></a></p>
+<p>The base class of transforms applied to the <cite>image</cite> target only.</p>
+<dl class="py property">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.ImageOnlyTransform.targets">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">targets</span></span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.ImageOnlyTransform.targets" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+<dl class="py class">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.Transform">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">bio_volumentations.core.transforms_interface.</span></span><span class="sig-name descname"><span class="pre">Transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">always_apply</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.Transform" title="Link to this definition">ď</a></dt>
+<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
+<p>The base class.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.Transform.apply">
+<span class="sig-name descname"><span class="pre">apply</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">volume</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">params</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.Transform.apply" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="bio_volumentations.core.transforms_interface.Transform.get_params">
+<span class="sig-name descname"><span class="pre">get_params</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">data</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#bio_volumentations.core.transforms_interface.Transform.get_params" title="Link to this definition">ď</a></dt>
+<dd></dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+
+ </div>
+ </div>
+ <footer><div class="rst-footer-buttons" role="navigation" aria-label="Footer">
+ <a href="intro.html" class="btn btn-neutral float-left" title="Introduction" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left" aria-hidden="true"></span> Previous</a>
+ <a href="examples.html" class="btn btn-neutral float-right" title="Getting Started" accesskey="n" rel="next">Next <span class="fa fa-arrow-circle-right" aria-hidden="true"></span></a>
+ </div>
+
+ <hr/>
+
+ <div role="contentinfo">
+ <p>© Copyright 2024, Samuel Sulan, Lucia Hradecka, Filip Lux.</p>
+ </div>
+
+ Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
+ <a href="https://github.com/readthedocs/sphinx_rtd_theme">theme</a>
+ provided by <a href="https://readthedocs.org">Read the Docs</a>.
+
+
+</footer>
+ </div>
+ </div>
+ </section>
+ </div>
+ <script>
+ jQuery(function () {
+ SphinxRtdTheme.Navigation.enable(true);
+ });
+ </script>
+
+</body>
+</html>
\ No newline at end of file
diff --git a/docs/build/html/objects.inv b/docs/build/html/objects.inv
new file mode 100644
index 0000000000000000000000000000000000000000..4874e207b663edd92bb5bcb68be28f6ec6c7beb8
Binary files /dev/null and b/docs/build/html/objects.inv differ
diff --git a/docs/_build/html/py-modindex.html b/docs/build/html/py-modindex.html
similarity index 59%
rename from docs/_build/html/py-modindex.html
rename to docs/build/html/py-modindex.html
index 56e3b443f0367bf28c35f9e0c392ca74ea6e0bfb..11ed0d8b61aed71438efbf184901b57003ff0b0c 100644
--- a/docs/_build/html/py-modindex.html
+++ b/docs/build/html/py-modindex.html
@@ -1,22 +1,22 @@
<!DOCTYPE html>
-<html class="writer-html5" lang="en">
+<html class="writer-html5" lang="en" data-content_root="./">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>Python Module Index — volumentations_biomedicine documentation</title>
- <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
- <link rel="stylesheet" type="text/css" href="_static/css/theme.css" />
+ <title>Python Module Index — bio-volumentations 1.1.0 documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
+ <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
<!--[if lt IE 9]>
<script src="_static/js/html5shiv.min.js"></script>
<![endif]-->
- <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
- <script src="_static/jquery.js"></script>
- <script src="_static/underscore.js"></script>
- <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
- <script src="_static/doctools.js"></script>
+ <script src="_static/jquery.js?v=5d32c60e"></script>
+ <script src="_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
+ <script src="_static/documentation_options.js?v=fc837d61"></script>
+ <script src="_static/doctools.js?v=888ff710"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="_static/js/theme.js"></script>
<link rel="index" title="Index" href="genindex.html" />
<link rel="search" title="Search" href="search.html" />
@@ -34,7 +34,7 @@
<a href="index.html" class="icon icon-home">
- volumentations_biomedicine
+ bio-volumentations
</a>
<div role="search">
<form id="rtd-search-form" class="wy-form" action="search.html" method="get">
@@ -46,7 +46,10 @@
</div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
<ul>
-<li class="toctree-l1"><a class="reference internal" href="volumentations_biomedicine.augmentations.html">Augumentations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules2.html">Bio-Volumentations Package</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Getting Started</a></li>
+<li class="toctree-l1"><a class="reference internal" href="contributions.html">Copyright</a></li>
</ul>
</div>
@@ -55,7 +58,7 @@
<section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
<i data-toggle="wy-nav-top" class="fa fa-bars"></i>
- <a href="index.html">volumentations_biomedicine</a>
+ <a href="index.html">bio-volumentations</a>
</nav>
<div class="wy-nav-content">
@@ -76,23 +79,38 @@
<h1>Python Module Index</h1>
<div class="modindex-jumpbox">
- <a href="#cap-v"><strong>v</strong></a>
+ <a href="#cap-b"><strong>b</strong></a>
</div>
<table class="indextable modindextable">
<tr class="pcap"><td></td><td> </td><td></td></tr>
- <tr class="cap" id="cap-v"><td></td><td>
- <strong>v</strong></td><td></td></tr>
+ <tr class="cap" id="cap-b"><td></td><td>
+ <strong>b</strong></td><td></td></tr>
<tr>
<td><img src="_static/minus.png" class="toggler"
id="toggle-1" style="display: none" alt="-" /></td>
<td>
- <code class="xref">volumentations_biomedicine</code></td><td>
+ <code class="xref">bio_volumentations</code></td><td>
<em></em></td></tr>
<tr class="cg-1">
<td></td>
<td>   
- <a href="volumentations_biomedicine.augmentations.html#module-volumentations_biomedicine.augmentations.transforms"><code class="xref">volumentations_biomedicine.augmentations.transforms</code></a></td><td>
+ <a href="modules2.html#module-bio_volumentations.augmentations.transforms"><code class="xref">bio_volumentations.augmentations.transforms</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="modules2.html#module-bio_volumentations.conversion.transforms"><code class="xref">bio_volumentations.conversion.transforms</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="modules2.html#module-bio_volumentations.core.composition"><code class="xref">bio_volumentations.core.composition</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="modules2.html#module-bio_volumentations.core.transforms_interface"><code class="xref">bio_volumentations.core.transforms_interface</code></a></td><td>
<em></em></td></tr>
</table>
@@ -104,7 +122,7 @@
<hr/>
<div role="contentinfo">
- <p>© Copyright 2023, Samuel Ĺ uÄľan.</p>
+ <p>© Copyright 2024, Samuel Sulan, Lucia Hradecka, Filip Lux.</p>
</div>
Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
diff --git a/docs/_build/html/search.html b/docs/build/html/search.html
similarity index 75%
rename from docs/_build/html/search.html
rename to docs/build/html/search.html
index 55d94b8dac21b23f3aa078d1735d15db169a6d94..4ca3b528c399e7c75ca79d212f9083ea79228e19 100644
--- a/docs/_build/html/search.html
+++ b/docs/build/html/search.html
@@ -1,11 +1,11 @@
<!DOCTYPE html>
-<html class="writer-html5" lang="en">
+<html class="writer-html5" lang="en" data-content_root="./">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>Search — volumentations_biomedicine documentation</title>
- <link rel="stylesheet" type="text/css" href="_static/pygments.css" />
- <link rel="stylesheet" type="text/css" href="_static/css/theme.css" />
+ <title>Search — bio-volumentations 1.1.0 documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=80d5e7a1" />
+ <link rel="stylesheet" type="text/css" href="_static/css/theme.css?v=19f00094" />
@@ -13,11 +13,11 @@
<script src="_static/js/html5shiv.min.js"></script>
<![endif]-->
- <script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
- <script src="_static/jquery.js"></script>
- <script src="_static/underscore.js"></script>
- <script src="_static/_sphinx_javascript_frameworks_compat.js"></script>
- <script src="_static/doctools.js"></script>
+ <script src="_static/jquery.js?v=5d32c60e"></script>
+ <script src="_static/_sphinx_javascript_frameworks_compat.js?v=2cd50e6c"></script>
+ <script src="_static/documentation_options.js?v=fc837d61"></script>
+ <script src="_static/doctools.js?v=888ff710"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="_static/js/theme.js"></script>
<script src="_static/searchtools.js"></script>
<script src="_static/language_data.js"></script>
@@ -34,7 +34,7 @@
<a href="index.html" class="icon icon-home">
- volumentations_biomedicine
+ bio-volumentations
</a>
<div role="search">
<form id="rtd-search-form" class="wy-form" action="#" method="get">
@@ -46,7 +46,10 @@
</div><div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="Navigation menu">
<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
<ul>
-<li class="toctree-l1"><a class="reference internal" href="volumentations_biomedicine.augmentations.html">Augumentations</a></li>
+<li class="toctree-l1"><a class="reference internal" href="intro.html">Introduction</a></li>
+<li class="toctree-l1"><a class="reference internal" href="modules2.html">Bio-Volumentations Package</a></li>
+<li class="toctree-l1"><a class="reference internal" href="examples.html">Getting Started</a></li>
+<li class="toctree-l1"><a class="reference internal" href="contributions.html">Copyright</a></li>
</ul>
</div>
@@ -55,7 +58,7 @@
<section data-toggle="wy-nav-shift" class="wy-nav-content-wrap"><nav class="wy-nav-top" aria-label="Mobile navigation menu" >
<i data-toggle="wy-nav-top" class="fa fa-bars"></i>
- <a href="index.html">volumentations_biomedicine</a>
+ <a href="index.html">bio-volumentations</a>
</nav>
<div class="wy-nav-content">
@@ -92,7 +95,7 @@
<hr/>
<div role="contentinfo">
- <p>© Copyright 2023, Samuel Ĺ uÄľan.</p>
+ <p>© Copyright 2024, Samuel Sulan, Lucia Hradecka, Filip Lux.</p>
</div>
Built with <a href="https://www.sphinx-doc.org/">Sphinx</a> using a
diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
new file mode 100644
index 0000000000000000000000000000000000000000..dd39a0f42279e9f86bcb3626d49a8df22e635048
--- /dev/null
+++ b/docs/build/html/searchindex.js
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\ No newline at end of file
diff --git a/docs/conf.py b/docs/conf.py
deleted file mode 100644
index 96dbf84f4c0c755d06c26032c3f71810558d88c4..0000000000000000000000000000000000000000
--- a/docs/conf.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# Configuration file for the Sphinx documentation builder.
-#
-# This file only contains a selection of the most common options. For a full
-# list see the documentation:
-# https://www.sphinx-doc.org/en/master/usage/configuration.html
-
-# -- Path setup --------------------------------------------------------------
-
-# If extensions (or modules to document with autodoc) are in another directory,
-# add these directories to sys.path here. If the directory is relative to the
-# documentation root, use os.path.abspath to make it absolute, like shown here.
-#
-import os
-import sys
-sys.path.insert(0, os.path.abspath('..'))
-
-
-# -- Project information -----------------------------------------------------
-
-project = 'volumentations_biomedicine'
-copyright = '2023, Samuel Ĺ uÄľan'
-author = 'Samuel Ĺ uÄľan'
-
-
-# -- General configuration ---------------------------------------------------
-
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
-# ones.
-extensions = [
- 'sphinx.ext.autodoc',
- 'sphinx.ext.viewcode',
- 'sphinx.ext.napoleon'
-]
-
-# Add any paths that contain templates here, relative to this directory.
-templates_path = ['_templates']
-
-# List of patterns, relative to source directory, that match files and
-# directories to ignore when looking for source files.
-# This pattern also affects html_static_path and html_extra_path.
-exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store']
-
-
-# -- Options for HTML output -------------------------------------------------
-
-# The theme to use for HTML and HTML Help pages. See the documentation for
-# a list of builtin themes.
-#
-html_theme = 'sphinx_rtd_theme'
-
-# Add any paths that contain custom static files (such as style sheets) here,
-# relative to this directory. They are copied after the builtin static files,
-# so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['_static']
\ No newline at end of file
diff --git a/docs/howToDoc.txt b/docs/howToDoc.txt
deleted file mode 100644
index 7a6d5bcfdd5ef6b63bb58b60091159c901c75d5b..0000000000000000000000000000000000000000
--- a/docs/howToDoc.txt
+++ /dev/null
@@ -1,34 +0,0 @@
-Pre dokumentaciu sa pouĹľĂva sphinx. Pre rĂ˝chly hands on tutorial (5min) ako vytvoriĹĄ štruktĂşru a ako sa robĂ so sphinx
-odporucam https://towardsdatascience.com/documenting-python-code-with-sphinx-554e1d6c4f6d.
-
-Dôležitá poznámka ku tutorialu, pri použità sphinx-quickstart je potrebné dať ako názov projektu názov zložky,
-inak to nebude fungovať bez nejakého tinkeringu. Tiež odporúčam všimnúť si v ktorej zložke sa volajú ktoré commands.
-
-
-Vo našom projekte je štruktúra už vytvorená,
-preto staÄŤĂ pre malĂ© zmeny upravovaĹĄ jednotlivĂ© .rst sĂşbory a v zloĹľke so štruktĂşrou pouĹľĂvaĹĄ tieto prĂkazy pri zmene:
- make clean html
- make html
-
-Ak sa nachádzate na Windowse tak namiesto make treba použiť ./make
-
-
-V dokumentacii sa pouĹľĂva formát reStructuredText, moĹľnosti ÄŤo sa s nĂm da robiĹĄ sa nachádzajĂş tu:
-https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html
-
-
-Dokumentácia sa zaÄŤĂna vytváraĹĄ zo sĂşboru index.rst, pre pridanie linkov na dokumentáciu rĂ´znych modulov sa pouĹľĂva direktĂva
-.. toctree:: Následne sú tam názvy súborov ktoré reprezentujú moduly z ktorých sa bude robiť dokumentácia,
- pĂšu sa bez koncoviek (.rst).
-
-Tieto modely sa mozu rekuruzivne zahlbovat, a tým vytvárať zložitejšie štruktúry,
-no pre tento projekt, mi to neprišlo potrebne.
-
-Častá chyba pri vytváranà dokumentacie bola, že sa nepodarilo nájsť určitý modul,
-v tom prĂpade odporúčam skontrolovaĹĄ importy.
-
-Zložka docs by sa nemala generovať, iba html stránky z nich. K tomuto slúži tento command:
- make html
-Pričom je potrebné ho zavolať v zložke docs. Vygenerovaná dokumentácia sa nachádza v ./_build/html/
-
-
diff --git a/docs/index.rst b/docs/index.rst
deleted file mode 100644
index a07d9c0384c6f1fc4c92e235068a8a645153cf6c..0000000000000000000000000000000000000000
--- a/docs/index.rst
+++ /dev/null
@@ -1,28 +0,0 @@
-.. volumentations_biomedicine documentation master file, created by
- sphinx-quickstart on Fri Sep 22 13:30:00 2023.
- You can adapt this file completely to your liking, but it should at least
- contain the root `toctree` directive.
-
-Text pred modulami.
-Text je *reStructuredText*. Zoznam možnostà čo sa dá s týmto formátom robiť sa nachádza na: tejto
-`stránke <https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html>`_
-
-
-Welcome to volumentations_biomedicine's documentation!
-======================================================
-
-.. toctree::
- :maxdepth: 3
- :titlesonly:
- :caption: Contents:
-
- Augumentations <volumentations_biomedicine.augmentations>
- Conversions <volumentations_biomedicine.conversion>
- Composition <volumentations_biomedicine.composition>
- Transforms interface <volumentations_biomedicine.transforms_interface>
-
-
-
-Text po moduloch.
-
-
diff --git a/docs/make.bat b/docs/make.bat
index 922152e96a04a242e6fc40f124261d74890617d8..dc1312ab09ca6fb0267dee6b28a38e69c253631a 100644
--- a/docs/make.bat
+++ b/docs/make.bat
@@ -7,10 +7,8 @@ REM Command file for Sphinx documentation
if "%SPHINXBUILD%" == "" (
set SPHINXBUILD=sphinx-build
)
-set SOURCEDIR=.
-set BUILDDIR=_build
-
-if "%1" == "" goto help
+set SOURCEDIR=source
+set BUILDDIR=build
%SPHINXBUILD% >NUL 2>NUL
if errorlevel 9009 (
@@ -21,10 +19,12 @@ if errorlevel 9009 (
echo.may add the Sphinx directory to PATH.
echo.
echo.If you don't have Sphinx installed, grab it from
- echo.http://sphinx-doc.org/
+ echo.https://www.sphinx-doc.org/
exit /b 1
)
+if "%1" == "" goto help
+
%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
goto end
diff --git a/docs/source/bio_volumentations.augmentations.rst b/docs/source/bio_volumentations.augmentations.rst
new file mode 100644
index 0000000000000000000000000000000000000000..bb44c83b70a02c63898898088642a09e8d57f524
--- /dev/null
+++ b/docs/source/bio_volumentations.augmentations.rst
@@ -0,0 +1,11 @@
+bio\_volumentations.augmentations package
+=========================================
+
+bio\_volumentations.augmentations.transforms module
+---------------------------------------------------
+
+.. automodule:: bio_volumentations.augmentations.transforms
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
diff --git a/docs/source/bio_volumentations.conversion.rst b/docs/source/bio_volumentations.conversion.rst
new file mode 100644
index 0000000000000000000000000000000000000000..09c05df200669e254afd5ec978fbffbd2fd04959
--- /dev/null
+++ b/docs/source/bio_volumentations.conversion.rst
@@ -0,0 +1,10 @@
+bio\_volumentations.conversion package
+======================================
+
+bio\_volumentations.conversion.transforms module
+------------------------------------------------
+
+.. automodule:: bio_volumentations.conversion.transforms
+ :members:
+ :undoc-members:
+ :show-inheritance:
diff --git a/docs/source/bio_volumentations.core.rst b/docs/source/bio_volumentations.core.rst
new file mode 100644
index 0000000000000000000000000000000000000000..3b87341ad6e0e006a5fef75bfb458ff26133cf6d
--- /dev/null
+++ b/docs/source/bio_volumentations.core.rst
@@ -0,0 +1,18 @@
+bio\_volumentations.core package
+================================
+
+bio\_volumentations.core.composition module
+-------------------------------------------
+
+.. automodule:: bio_volumentations.core.composition
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+bio\_volumentations.core.transforms\_interface module
+-----------------------------------------------------
+
+.. automodule:: bio_volumentations.core.transforms_interface
+ :members:
+ :undoc-members:
+ :show-inheritance:
diff --git a/docs/source/bio_volumentations.rst b/docs/source/bio_volumentations.rst
new file mode 100644
index 0000000000000000000000000000000000000000..0e9b31b360685b2d70a1d887cb5b97308bc797c5
--- /dev/null
+++ b/docs/source/bio_volumentations.rst
@@ -0,0 +1,12 @@
+bio\_volumentations package
+===========================
+
+Subpackages
+-----------
+
+.. toctree::
+ :maxdepth: 4
+
+ bio_volumentations.augmentations
+ bio_volumentations.conversion
+ bio_volumentations.core
diff --git a/docs/source/conf.py b/docs/source/conf.py
new file mode 100644
index 0000000000000000000000000000000000000000..565ba9a7c481234a4067757adf55c2fe73f46b82
--- /dev/null
+++ b/docs/source/conf.py
@@ -0,0 +1,32 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# For the full list of built-in configuration values, see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Autodoc configuration----------------------------------------------------
+# https://sphinx-rtd-tutorial.readthedocs.io/en/latest/sphinx-config.html
+import os
+import sys
+sys.path.insert(0, os.path.abspath(r'..\..'))
+
+# -- Project information -----------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
+
+project = 'bio-volumentations'
+copyright = '2024, Samuel Sulan, Lucia Hradecka, Filip Lux'
+author = 'Samuel Sulan, Lucia Hradecka, Filip Lux'
+release = '1.1.0'
+
+# -- General configuration ---------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
+
+extensions = ['sphinx.ext.autodoc']
+
+templates_path = ['_templates']
+exclude_patterns = []
+
+# -- Options for HTML output -------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
+
+html_theme = 'sphinx_rtd_theme'
+html_static_path = ['_static']
diff --git a/docs/source/contributions.rst b/docs/source/contributions.rst
new file mode 100644
index 0000000000000000000000000000000000000000..b616570d3edd3eb3cbcdb76703c87553b2a07ee4
--- /dev/null
+++ b/docs/source/contributions.rst
@@ -0,0 +1,41 @@
+Copyright
+=========
+
+Copyright
+*********
+Copyright (c) 2024 Lucia Hradecká, Filip Lux
+
+The `Bio-Volumentations` library is distributed under the MIT License.
+For more details, see `the licence file at GitLab <https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/blob/v1-1-0/LICENSE?ref_type=heads>`_.
+
+
+Contributions
+*************
+
+Authors of the `Bio-Volumentations` library are:
+
+- Samuel Ĺ uÄľan
+- Lucia Hradecká: lucia.d.hradecka@gmail.com
+- Filip Lux: lux.filip@gmail.com
+
+The `Bio-Volumentations` library is based on the following image augmentation libraries:
+
+- `Albumentations <https://github.com/albumentations-team/albumentations>`_
+- `3D Conversion <https://github.com/ashawkey/volumentations>`_
+- `Continued Development <https://github.com/ZFTurbo/volumentations>`_
+- `Enhancements <https://github.com/qubvel/volumentations>`_
+- `Further Enhancements <https://github.com/muellerdo/volumentations>`_
+
+We would thus like to thank their authors, namely:
+
+- `The Albumentations team <https://github.com/albumentations-team>`_
+- `Pavel Iakubovskii <https://github.com/qubvel>`_
+- `ZFTurbo <https://github.com/ZFTurbo>`_
+- `ashawkey <https://github.com/ashawkey>`_
+- `Dominik MĂĽller <https://github.com/muellerdo>`_
+
+
+Citation
+********
+
+TBA
diff --git a/docs/source/examples.rst b/docs/source/examples.rst
new file mode 100644
index 0000000000000000000000000000000000000000..7297df988af261fb196c1536e8d1f99665598b11
--- /dev/null
+++ b/docs/source/examples.rst
@@ -0,0 +1,148 @@
+Getting Started
+===============
+
+Installation
+************
+You can install the library from PyPi using ``pip install bio-volumentations``.
+
+Importing
+*********
+Import the library to your project using ``import bio_volumentations as biovol``.
+
+How to Use the Library?
+***********************
+
+The Bio-Volumentations library processes 3D, 4D, and 5D images. Each image must be
+represented as :class:`numpy.ndarray` and must conform to the following conventions:
+
+- The order of dimensions is [C, Z, Y, X, T], where C is the channel dimension, T is the time dimension, and Z, Y, and X are the spatial dimensions.
+- The three spatial dimensions (Z, Y, X) are compulsory.
+- The channel (C) dimension is optional. If it is not present, the library will automatically create a dummy dimension in its place and output an image of shape (1, Z, Y, X).
+- The time (T) dimension is optional and can only be present if the channel (C) dimension is also present.
+
+Thus, the input images can have these shapes:
+
+- [Z, Y, X] (a single-channel volumetric image)
+- [C, Z, Y, X] (a multi-channel volumetric image)
+- [C, Z, Y, X, T] (a single-channel as well as multi-channel volumetric image sequence)
+
+**It is strongly recommended to use** :class:`Compose` **to create and use transformations.**
+The :class:`Compose` class automatically checks and adjusts image format, datatype, stacks
+individual transforms to a pipeline, and outputs the image as a contiguous array.
+Optionally, it can also convert the transformed image to a desired format.
+
+Below, there are several examples of how to use the `Bio-Volumentations` library.
+
+Example: Transforming a Single Image
+************************************
+.. code-block:: python
+
+ import numpy as np
+ from bio_volumentations import Compose, RandomGamma, RandomRotate90, GaussianBlur
+
+ # Create the transformation using Compose from a list of transformations
+ aug = Compose([
+ RandomGamma(gamma_limit = (0.8, 1,2), p = 0.8),
+ RandomRotate90(axes = [1, 2, 3], p = 1),
+ GaussianBlur(sigma = 1.2, p = 0.8)
+ ])
+
+ # Generate an image
+ img = np.random.rand(1, 128, 256, 256)
+
+ # Transform the image
+ # Notice that the image must be passed as a keyword argument to the transformation pipeline
+ # and extracted from the outputted dictionary.
+ data = {'image': img}
+ aug_data = aug(**data)
+ transformed_img = aug_data['image']
+
+Example: Transforming a Image Pairs
+***********************************
+Sometimes, it is necessary to consistently transform a tuple of corresponding images.
+To that end, Bio-Volumentations define several target types:
+
+- :class:`image` for the image data
+- :class:`mask` for integer-valued label images
+- :class:`float_mask` for real-valued label images
+
+The :class:`mask` and :class:`float_mask` target types are expected to have the same shape as the :class:`image`
+target except for the channel (C) dimension which must not be included.
+For example, for images of shape (150, 300, 300), (1, 150, 300, 300), or
+(4, 150, 300, 300), the corresponding :class:`mask` must be of shape (150, 300, 300).
+If one wants to use a multichannel :class:`mask` or :class:`float_mask`, one has to split it into
+a set of single-channel :class:`mask` s or :class:`float_mask` s, respectively, and input them
+as stand-alone targets (see below).
+
+If a :class:`Random...` transform receives multiple targets on its input in a single call,
+the same random numbers are used to transform all of these targets.
+
+However, some transformations might behave slightly differently for the individual
+target types. For example, :class:`RandomCrop` works in the same way for all target types, while
+:class:`RandomGaussianNoise` only affects the :class:`image` target and leaves the :class:`mask` and
+:class:`float_mask` targets unchanged. Please consult the documentation of respective transforms
+for more details.
+
+.. code-block:: python
+
+ import numpy as np
+ from bio_volumentations import Compose, RandomGamma, RandomRotate90, GaussianBlur
+
+ # Create the transformation using Compose from a list of transformations
+ aug = Compose([
+ RandomGamma(gamma_limit = (0.8, 1,2), p = 0.8),
+ RandomRotate90(axes = [1, 2, 3], p = 1),
+ GaussianBlur(sigma = 1.2, p = 0.8)
+ ])
+
+ # Generate image and a corresponding labeled image
+ img = np.random.rand(1, 128, 256, 256)
+ lbl = np.random.randint(0, 1, size=(128, 256, 256), dtype=np.uint8)
+
+ # Transform the images
+ # Notice that the images must be passed as keyword arguments to the transformation pipeline
+ # and extracted from the outputted dictionary.
+ data = {'image': img, 'mask': lbl}
+ aug_data = aug(**data)
+ transformed_img, transformed_lbl = aug_data['image'], aug_data['mask']
+
+Example: Transforming Multiple Images of the Same Target Type
+*************************************************************
+Although there are only three target types, one input arbitrary number of images to any
+transformation. To achieve this, one has to define the value of the :class:`targets` argument
+when creating a :class:`Compose` object.
+
+The :class:`targets` must be a list with 3 items: a list with names of :class:`image`-type targets,
+a list with names of :class:`mask`-type targets, and
+a list with names of :class:`float_mask`-type targets. The specified names will then be used
+to input the images to the transformation call as well as during extracting the
+transformed images from the outputted dictionary. Please see the code below
+for a practical example.
+
+.. code-block:: python
+
+ import numpy as np
+ from bio_volumentations import Compose, RandomGamma, RandomRotate90, GaussianBlur
+
+ # Create the transformation using Compose from a list of transformations and define targets
+ aug = Compose([
+ RandomGamma( gamma_limit = (0.8, 1,2), p = 0.8),
+ RandomRotate90(axes = [1, 2, 3], p = 1),
+ GaussianBlur(sigma = 1.2, p = 0.8)
+ ],
+ targets= [ ['image' , 'image1'] , ['mask'], ['float_mask'] ])
+
+ # Generate the image data
+ img = np.random.rand(1, 128, 256, 256)
+ img1 = np.random.rand(1, 128, 256, 256)
+ lbl = np.random.randint(0, 1, size=(128, 256, 256), dtype=np.uint8)
+
+ # Transform the images
+ # Notice that the images must be passed as keyword arguments to the transformation pipeline
+ # and extracted from the outputted dictionary.
+ data = {'image': img, 'image1': img1, 'mask': lbl}
+ aug_data = aug(**data)
+ transformed_img = aug_data['image']
+ transformed_img1 = aug_data['image1']
+ transformed_lbl = aug_data['mask']
+
diff --git a/docs/source/index.rst b/docs/source/index.rst
new file mode 100644
index 0000000000000000000000000000000000000000..dd22aab2c9f84df3c4737b448c3022ac85e82628
--- /dev/null
+++ b/docs/source/index.rst
@@ -0,0 +1,27 @@
+.. bio-volumentations documentation master file, created by sphinx-quickstart 2024.
+
+Welcome to Bio-Volumentations's documentation!
+==============================================
+
+`Bio-Volumentations` is an image augmentation and preprocessing package for 3D, 4D, and 5D biomedical images.
+
+It offers a wide range of transforms for volumetric images, an easy-to-use API, a neat Getting Started guide,
+and can be used to manipulate your image data in any context.
+
+.. toctree::
+ :maxdepth: 2
+ :caption: Contents:
+
+ intro
+ modules2
+ examples
+ contributions
+
+The source codes and more details are also available `here <https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/tree/v1-1-0?ref_type=heads>`_.
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/docs/source/intro.rst b/docs/source/intro.rst
new file mode 100644
index 0000000000000000000000000000000000000000..8a83f675e2ea1728c5f84de10dc9b29f7f92eed0
--- /dev/null
+++ b/docs/source/intro.rst
@@ -0,0 +1,15 @@
+Introduction
+============
+`Bio-Volumentations` is an image augmentation and preprocessing package for 3D, 4D, and 5D biomedical images.
+
+It offers a range of image transformations implemented efficiently for time-lapse multi-channel volumetric image data.
+This includes both preprocessing transformations (such as intensity normalisation, padding, and type casting)
+and augmentation transformations (such as affine transform, noise addition and removal, and contrast manipulation).
+
+The `Bio-Volumentations` library is a suitable tool for data manipulation in machine learning applications.
+Importantly, it can be used with any major Python deep learning library.
+
+This library builds upon wide-spread libraries such as Albumentations (see the Contributions section below)
+in terms of design and user interface. Therefore, it can easily be adopted by users.
+
+The source codes and more details are also available `here <https://gitlab.fi.muni.cz/cbia/bio-volumentations/-/tree/v1-1-0?ref_type=heads>`_.
diff --git a/docs/source/modules.rst b/docs/source/modules.rst
new file mode 100644
index 0000000000000000000000000000000000000000..3aa9c2ac382a7d36a958317561e19889bdedc318
--- /dev/null
+++ b/docs/source/modules.rst
@@ -0,0 +1,7 @@
+bio_volumentations
+==================
+
+.. toctree::
+ :maxdepth: 4
+
+ bio_volumentations
diff --git a/docs/source/modules2.rst b/docs/source/modules2.rst
new file mode 100644
index 0000000000000000000000000000000000000000..2b05031f49a7ec41f66fee31d0d0aa9e3208d89b
--- /dev/null
+++ b/docs/source/modules2.rst
@@ -0,0 +1,35 @@
+Bio-Volumentations Package
+==========================
+
+Transforms Module
+---------------------------------------------------
+
+.. automodule:: bio_volumentations.augmentations.transforms
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+Conversion Module
+------------------------------------------------
+
+.. automodule:: bio_volumentations.conversion.transforms
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+Composition Module
+-------------------------------------------
+
+.. automodule:: bio_volumentations.core.composition
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+Transforms Interface Module
+-----------------------------------------------------
+
+.. automodule:: bio_volumentations.core.transforms_interface
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
diff --git a/docs/volumentations_biomedicine.augmentations.rst b/docs/volumentations_biomedicine.augmentations.rst
deleted file mode 100644
index 8ac5555c7338fdbdb2469982d1b5cc432eeb34e7..0000000000000000000000000000000000000000
--- a/docs/volumentations_biomedicine.augmentations.rst
+++ /dev/null
@@ -1,8 +0,0 @@
-
-volumentations\_biomedicine.augmentations.transforms module
------------------------------------------------------------
-
-.. automodule:: volumentations_biomedicine.augmentations.transforms
- :members:
- :undoc-members:
- :show-inheritance: