scikit-surgeryvtk implements VTK for Image Guided Surgery applications
scikit-surgeryvtk implements VTK for Image Guided Surgery applications.
scikit-surgeryvtk is part of the SNAPPY software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).
Load 3D surface models from vtl/stl/vtp etc. files.
A widget to overlay 3D models onto a background image e.g. from webcam/video file, useful for Augmented Reality (AR) overlays, using VTK.
Functions for working with calibrated cameras, and projecting points from 3D to 2D.
A widget to drive a stereo interlaced monitor.
Functions to voxelise data and calculate distance fields.
You can pip install as follows:
pip install scikit-surgeryvtk
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/scikit-surgeryvtk
Running the tests
You can run the unit tests by installing and running tox:
pip install tox tox
Please get in touch/raise an issue.
Please see the contributing guidelines.
Licensing and copyright
Copyright 2020 University College London. scikit-surgeryvtk is released under the BSD-3 license. Please see the license file for details.
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