Jupyter widgets to visualize images in 2D and 3D
Project description
<h1>itk-jupyter-widgets</h1> <p><a href=”https://github.com/InsightSoftwareConsortium/itk-jupyter-widgets/blob/master/LICENSE”><img src=”https://img.shields.io/badge/License-Apache%202.0-blue.svg” alt=”License” /></a> <a href=”https://pypi-hypernode.com/pypi/itkwidgets”><img src=”https://img.shields.io/pypi/v/itkwidgets.svg” alt=”PyPI” /></a> <a href=”https://circleci.com/gh/InsightSoftwareConsortium/itk-jupyter-widgets”><img src=”https://circleci.com/gh/InsightSoftwareConsortium/itk-jupyter-widgets.svg?style=shield” alt=”Build Status” /></a></p> <p>Interactive <a href=”https://jupyter.org/”>Jupyter</a> widgets to visualize images in 2D and 3D.</p> <img src=”https://i.imgur.com/ERK5JtT.png” width=”800” alt=”Monkey brain volume rendering”> <p>These widgets are designed to support image analysis with the <a href=”https://itk.org/”>Insight Toolkit (ITK)</a>, but they also work with other spatial analysis tools in the scientific Python ecosystem.</p> <p>These widgets are built on <a href=”https://github.com/InsightSoftwareConsortium/itk-js”>itk.js</a> and <a href=”https://github.com/Kitware/vtk-js”>vtk.js</a>.</p> <h2>Installation</h2> <p>To install, use pip:</p> <pre><code class=”language-sh”>pip install itkwidgets jupyter nbextension enable –py –sys-prefix itkwidgets </code></pre> <p>For a development installation (requires <a href=”https://nodejs.org/en/download/”>Node.js</a>),</p> <pre><code class=”language-sh”>git clone https://github.com/InsightSoftwareConsortium/itk-jupyter-widgets.git cd itk-jupyter-widgets python -m pip install -r requirements-dev.txt -r requirements.txt python -m pip install -e . jupyter nbextension install –py –symlink –sys-prefix itkwidgets jupyter nbextension enable –py –sys-prefix itkwidgets jupyter nbextension enable –py –sys-prefix widgetsnbextension python -m pytest </code></pre>
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