{
    "info": {
        "author": "Matthew McCormick",
        "author_email": "matt.mccormick@kitware.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Framework :: IPython",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3.9",
            "Topic :: Multimedia :: Graphics"
        ],
        "description": "itkwidgets\n==========\n\n.. image:: https://img.shields.io/pypi/v/itkwidgets.svg\n    :target: https://pypi.python.org/pypi/itkwidgets\n    :alt: PyPI version\n\n.. image:: https://img.shields.io/conda/vn/conda-forge/itkwidgets.svg\n    :target: https://anaconda.org/conda-forge/itkwidgets\n    :alt: Conda version\n\n.. image:: https://img.shields.io/npm/v/itkwidgets/latest\n    :target: https://www.npmjs.com/package/itkwidgets\n    :alt: npm\n\n.. image:: https://github.com/InsightSoftwareConsortium/itkwidgets/workflows/Build%20and%20test/badge.svg\n    :target: https://github.com/InsightSoftwareConsortium/itkwidgets/actions?query=workflow%3A%22Build+and+test%22\n    :alt: Build status\n\n.. image:: https://mybinder.org/badge_logo.svg\n    :target: https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples%2F3DImage.ipynb\n    :alt: Interactive example on MyBinder\n\n.. image:: https://img.shields.io/badge/License-Apache%202.0-blue.svg\n    :target: https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/LICENSE\n    :alt: License\n\n.. image:: https://zenodo.org/badge/121581663.svg\n    :target: https://zenodo.org/badge/latestdoi/121581663\n    :alt: Software citation DOI\n\nInteractive Jupyter_ widgets to visualize images, point sets, and meshes on the web.\n\n.. image:: https://i.imgur.com/d8aXycW.png\n    :width: 800px\n    :alt: itkwidgets chest CT in JupyterLab\n\n**Key Features**:\n\n- Visualize 2D and 3D images, point sets, and geometry, e.g. meshes, in Jupyter_\n- Support for\n\n  - `NumPy array <https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html>`_ images\n  - `itk.Image <https://itkpythonpackage.readthedocs.io/en/latest/Quick_start_guide.html>`_\n  - `Dask array <https://docs.dask.org/en/latest/array.html>`_ images\n  - `vtk.vtkImageData <https://vtk.org>`_\n  - `pyvista.UniformGrid <https://pyvista.org>`_\n  - `vedo.Volume <https://vedo.embl.es/index.html>`_\n  - `pyimagej ImageJ / Fiji / ImageJ2 images <https://github.com/imagej/pyimagej>`_\n  - Additional NumPy array-like objects\n  - `SimpleITK.Image <https://simpleitk-prototype.readthedocs.io/en/latest/user_guide/plot_image.html#sphx-glr-user-guide-plot-image-py>`_\n\n  - NumPy array point sets\n  - `itk.PointSet <https://itk.org/Doxygen/html/classitk_1_1PointSet.html>`_\n  - `itk.PointBasedSpatialObject <https://itk.org/Doxygen/html/classitk_1_1PointBasedSpatialObject.html>`_\n  - `vtk.vtkPolyData <https://vtk.org/doc/nightly/html/classvtkPolyData.html>`_ point sets\n  - `pyvista.PolyData <https://docs.pyvista.org/core/points.html>`_ point sets\n\n  - `itk.Mesh <https://itk.org/Doxygen/html/classitk_1_1Mesh.html>`_\n  - `itk.PolyLineParametricPath <https://itk.org/Doxygen/html/classitk_1_1PolyLineParametricPath.html>`_\n  - `vtk.vtkPolyData <https://vtk.org/doc/nightly/html/classvtkPolyData.html>`_\n  - `vtk.vtkStructuredGrid <https://vtk.org/doc/nightly/html/classvtkStructuredGrid.html>`_\n  - `vtk.vtkUnstructuredGrid <https://vtk.org/doc/nightly/html/classvtkUnstructuredGrid.html>`_\n  - `vtk.vtkActor <https://vtk.org/doc/nightly/html/classvtkActor.html>`_\n  - `vtk.vtkVolume <https://vtk.org/doc/nightly/html/classvtkVolume.html>`_\n  - `vtk.vtkAssembly <https://vtk.org/doc/nightly/html/classvtkAssembly.html>`_\n  - `pyvista.PolyData <https://docs.pyvista.org/core/points.html>`_\n  - `pyvista.StructuredGrid <https://docs.pyvista.org/core/point-grids.html#structured-grid-creation>`_\n  - `pyvista.UnstructuredGrid <https://docs.pyvista.org/core/point-grids.html#unstructured-grid-creation>`_\n  - `vedo.Actor <https://vedo.embl.es/index.html>`_\n  - `vedo.Assembly <https://vedo.embl.es/index.html>`_\n  - `skan.csr.Skeleton <https://jni.github.io/skan/api/skan.csr.html#module-skan.csr>`_\n\n- Exquisite volume rendering\n- Tri-plane volume slicing\n- Innovative, powerful opacity transfer function / window / level widget\n- Label image segmentation 2D and 3D rendering\n- Anisotropic voxel spacing supported\n- Image line profile widget\n- Image statistics widget\n- Compare images widget\n- Widgets to select solid colors for geometry or colormaps when point data or\n  cell data is availble\n- Visualize point sets as points or spheres and interactively adjust the point\n  size\n- Combine with other *ipywidgets* to quickly create graphical interfaces\n  that interactively provide insights into data algorithms\n\n.. image:: https://thumbs.gfycat.com/ShyFelineBeetle-size_restricted.gif\n    :width: 640px\n    :alt: itkwidgets demo\n    :align: center\n\nThese widgets are designed to support spatial analysis with the `Insight Toolkit\n(ITK) <https://itk.org/>`_, but they work equally well with other spatial analysis tools\nin the scientific Python ecosystem.\n\nThese widgets are built on\n`itk.js <https://github.com/InsightSoftwareConsortium/itk-js>`_ and\n`vtk.js <https://github.com/Kitware/vtk-js>`_.\n\nExamples on Binder\n------------------\n\nData types:\n\n- `Binder: 2D ITK Images <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples%2F2DImage.ipynb>`_\n- `Binder: 3D ITK Images <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples%2F3DImage.ipynb>`_\n- `Binder: 3D Label Images <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples%2FLabelImages.ipynb>`_\n- `Binder: Dask Array images <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/DaskArray.ipynb>`_\n- `Binder: Large volumes <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/LargeVolumes.ipynb>`_\n- `Binder: NumPy array images (processed with SciPy) <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/NumPyArrayImage.ipynb>`_\n- `Binder: NumPy array images (processed with scikit-image) <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/scikit-image.ipynb>`_\n- `Binder: NumPy array for image with anisotropic spacing <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/ImageWithAnisotropicPixelSpacing.ipynb>`_\n- `Binder: NumPy array point sets <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/NumPyArrayPointSet.ipynb>`_\n- `Binder: ITK Mesh <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/Mesh.ipynb>`_\n- `Binder: ITK PointBasedSpatialObject <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/PointBasedSpatialObject.ipynb>`_\n- `Binder: skan segmentation skeleton <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/SegmentationSkeleton.ipynb>`_\n- `Binder: skan segmentation skeleton <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/SegmentationSkeleton.ipynb>`_\n\nRecipes:\n\n- `Binder: Compare images with a checkerboard pattern <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/Checkerboard.ipynb>`_\n- `Binder: Compare images side by side <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/CompareImages.ipynb>`_\n- `Binder: Examine a line profile <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/LineProfile.ipynb>`_\n- `Binder: Inspect image label statistics <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/ImageLabelStatistics.ipynb>`_\n- `Binder: Interactively explore algorithm parameters <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/InteractiveParameterExploration.ipynb>`_\n- `Binder: Record a video <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/RecordAVideo.ipynb>`_\n- `Binder: Restore a volume opacity transfer function <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/VolumeOpacityTransferFunction.ipynb>`_\n- `Binder: Select a region of interest <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/SelectRegionOfInterest.ipynb>`_\n- `Binder: Specify camera parameters <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/CameraParameters.ipynb>`_\n- `Binder: Specify a colormap <https://mybinder.org/v2/gh/InsightSoftwareConsortium/itkwidgets/master?urlpath=lab/tree/examples/SpecifyAColormap.ipynb>`_\n\nInstallation\n------------\n\nTo install the widgets for the Jupyter Notebook with pip::\n\n  pip install itkwidgets\n\nor with conda::\n\n  conda install -c conda-forge itkwidgets\n\nFor Jupyter Lab, additionally run::\n\n  jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib jupyterlab-datawidgets itkwidgets\n\nUsage\n-----\n\nIn Jupyter, import the ``view`` function::\n\n  from itkwidgets import view\n\nThen, call the ``view`` function at the end of a cell, passing in the image to\nexamine::\n\n  view(image)\n\nFor information on additional options, see the ``view`` function docstring::\n\n  view?\n\nOther available widgets:\n\n- ``itkwidgets.line_profile``: Plot an intensity line profile.\n- ``itkwidgets.checkerboard``: Compare two images in a checkerboard pattern.\n- ``itkwidgets.compare``: Compare two images side-by-side.\n\nUsing within a Docker Container\n-------------------------------\nYou can use ``itkwidgets`` from within a docker container with jupyterlab.\nTo create a local docker image:\n\nInstall ``docker`` and build the docker image with::\n\n  git clone https://github.com/InsightSoftwareConsortium/itkwidgets\n  cd itkwidgets/docker\n  IMAGE=itkwidgets:0.1.0\n  docker build -t $IMAGE .\n\nThen run the docker container with::\n\n  EXAMPLESDIR=`pwd`/../examples\n  docker run -it --rm -v $EXAMPLESDIR:/home/jovyan -p 8888:8888 itkwidgets:0.1.0\n\nFinally, connect to your notebook at http://127.0.0.1:8888/lab\n\nAdvanced Usage\n^^^^^^^^^^^^^^\n\nThe *itkwidgets* are based on `ipywidgets\n<https://ipywidgets.readthedocs.io/en/latest/examples/Widget%20Basics.html>`_.\nAs a consequence, widgets traits can be queried, assigned, or observed with\nthe `viewer` object returned by the `view` function. *itkwidgets* can\nbe combined with other *ipywidgets* to quickly explore algorithm parameters,\ncreate graphical interfaces, or create data visualization dashboards.\n\nMouse Controls\n^^^^^^^^^^^^^^\n\n**Left click + drag**\n  Rotate\n\n**Right click + drag** or **shift + left click + drag**\n  Pan\n\n**Mouse wheel** or **control + left click + drag** or **pinch**\n  Zoom\n\n**Alt + left click + drag left-right**\n  Change color transfer function window\n\n**Shift + left click + drag top-bottom**\n  Change color transfer function level\n\n**Shift + alt + left click + drag top-bottom**\n  Change primary Gaussian volume opacity transfer function magnitude\n\nKeyboard Shortcuts\n^^^^^^^^^^^^^^^^^^\n\nKeyboard shortcuts take effect when the mouse is positioned inside the viewer.\nAll shortcuts are prefixed with **Alt+**. Corresponding keys for the Dvorak\nkeyboard layout have the same effect.\n\n**Alt + 1**\n  X-plane mode\n\n**Alt + 2**\n  Y-plane mode\n\n**Alt + 3**\n  Z-plane mode\n\n**Alt + 4**\n  Volume rendering mode\n\n**Alt + q**\n  Toggle user interface\n\n**Alt + w**\n  Toggle region of interest (ROI) selection widget\n\n**Alt + e**\n  Reset ROI\n\n**Alt + r**\n  Reset camera\n\n**Alt + s**\n  Toggle slicing planes in volume rendering mode\n\n**Alt + f**\n  Toggle fullscreen\n\n\nExamples\n--------\n\nAfter installation, try the following examples that demonstrate how to visualize:\n\n- `2D ITK Images <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/2DImage.ipynb>`_\n- `3D ITK Images <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/3DImage.ipynb>`_\n- `3D Label maps <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/LabelImages.ipynb>`_\n- `Dask Array images <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/DaskArray.ipynb>`_\n- `Large volumes <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/LargeVolumes.ipynb>`_\n- `ImageJ ImgLib2 images <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/ImageJImgLib2.ipynb>`_ (requires `conda <https://conda.io/>`_ and a local `Fiji <https://fiji.sc/>`_ installation)\n- `NumPy array images (processed with SciPy) <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/NumPyArrayImage.ipynb>`_\n- `NumPy array images (processed with scikit-image) <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/scikit-image.ipynb>`_\n- `NumPy array for image with anisotropic spacing <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/ImageWithAnisotropicPixelSpacing.ipynb>`_\n- `VTK vtkImageData <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/vtkImageData.ipynb>`_\n- `pyvista UniformGrid <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/pyvista.UniformGrid.ipynb>`_\n- `NumPy array point sets <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/NumPyArrayPointSet.ipynb>`_\n- `ITK Mesh <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/Mesh.ipynb>`_\n- `ITK PointBasedSpatialObject <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/PointBasedSpatialObject.ipynb>`_\n- `VTK vtkPolyData <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/vtkPolyData.ipynb>`_\n- `VTK vtkUnstructuredGrid <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/vtkUnstructuredGrid.ipynb>`_\n- `pyvista PolyData <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/pyvista.PolyData.ipynb>`_\n- `pyvista StructuredGrid <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/pyvista.StructuredGrid.ipynb>`_\n- `pyvista UnstructuredGrid <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/pyvista.UnstructuredGrid.ipynb>`_\n- `pyvista LiDAR <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/pyvistaLiDAR.ipynb>`_\n- `vedo actors and volumes <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/vedo.ipynb>`_\n- `skan segmentation skeleton <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/SegmentationSkeleton.ipynb>`_\n\nor how to:\n\n- `Compares images with a checkerboard pattern <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/Checkerboard.ipynb>`_\n- `Compares images side by side <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/CompareImages.ipynb>`_\n- `Examine a line profile <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/LineProfile.ipynb>`_\n- `Inspect image label statistcs <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/ImageLabelStatistics.ipynb>`_\n- `Interatively explore algorithm parameters <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/InteractiveParameterExploration.ipynb>`_\n- `Record a video <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/RecordAVideo.ipynb>`_\n- `Restore a volume opacity transfer function <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/VolumeOpacityTransferFunction.ipynb>`_\n- `Select a region of interest <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/SelectRegionOfInterest.ipynb>`_\n- `Specify camera parameters <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/CameraParameters.ipynb>`_\n- `Specify a colormap <https://github.com/InsightSoftwareConsortium/itkwidgets/blob/master/examples/SpecifyAColormap.ipynb>`_\n\n\nTroubleshooting\n---------------\n\nIOPub data rate exceeded.\n^^^^^^^^^^^^^^^^^^^^^^^^^\n\nIf you experience the notebook warning::\n\n  IOPub data rate exceeded.\n  The notebook server will temporarily stop sending output\n  to the client in order to avoid crashing it.\n  To change this limit, set the config variable\n  `--NotebookApp.iopub_data_rate_limit`.\n\nSet the notebook configuration value::\n\n  jupyter notebook --NotebookApp.iopub_data_rate_limit=1e12\n\n\nScrolling in JupyterLab\n^^^^^^^^^^^^^^^^^^^^^^^\n\nCell output scrolls by default in JupyterLab. To disable scrolling, right click\nin the region to the left of the output and select *Disable Scrolling for\nOutputs*.\n\n'Permission denied' during installation\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nIf *Permission denied* errors occur during installation, install the Python\npackage with *user* permission via:\n\n  pip install --user itkwidgets\n\nFor JupyterLab extension installation, configure JupyterLab to use your user\napplication directory by setting the environmental variable,\n`JUPYTERLAB_DIR`::\n\n  export JUPYTERLAB_DIR=$HOME/.local/share/jupyter/lab\n\nCheck that this is picked up in the value of the *Application directory*\nreportred by::\n\n  jupyter lab path\n\nThen, install the extension as usual::\n\n  jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib jupyterlab-datawidgets itkwidgets\n\nHacking\n-------\n\nParticipation is welcome! For a development installation (requires `Node.js <https://nodejs.org/en/download/>`_)::\n\n  git clone https://github.com/InsightSoftwareConsortium/itkwidgets.git\n  cd itkwidgets\n  python -m pip install -r requirements-dev.txt -r requirements.txt\n  python -m pip install -e .\n  jupyter nbextension install --py --symlink --sys-prefix itkwidgets\n  jupyter nbextension enable --py --sys-prefix itkwidgets\n  jupyter nbextension enable --py --sys-prefix widgetsnbextension\n  python -m pytest\n  python -m pytest --nbmake examples/*.ipynb\n\nThe above commands will setup your system for development with the Jupyter\nNotebook. In one terminal, start Jupyter::\n\n  cd itkwidgets\n  jupyter notebook\n\nIn another terminal, put Webpack in watch mode to rebuild any Javascript\nchanges when you save a Javascript file::\n\n  cd itkwidgets\n  npm run watch\n\nIf Python code is changed, restart the kernel to see the changes. 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