Author(s): Stephen Thompson, Matt Clarkson, Thomas Dowrick and Miguel Xochicale; Contributor(s): Mian Ahmad.
scikit-surgeryvtk implements VTK for Image Guided Surgery applications.
scikit-surgeryvtk is part of the SciKit-Surgery software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).
scikit-surgeryvtk is tested on Python 3.8. and may support other Python versions.
Functionality includes:
- 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
You can run the unit tests, build documentation, and other options by installing and running tox:
pip install tox tox tox -e docs tox -e lint
Please get in touch or raise an issue.
Please see the contributing guidelines.
Copyright 2020 University College London. scikit-surgeryvtk is released under the BSD-3 license. Please see the license file for details.
