scikit-surgeryvtk
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).
Features
Functionality includes:
Load 3D models from vtl/stl/vtp etc. files.
Overlay 3D models onto a background image e.g. from webcam/video file
Functions for working with calibrated cameras, and projecting points from 3D to 2D.
A widget to drive a stereo interlaced monitor.
Installing
You can pip install as follows:
pip install scikit-surgeryvtk
Developing
You can clone the repository using the following command:
git clone https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgeryvtk
Running the tests
You can run the unit tests by installing and running tox:
pip install tox tox
Encountering Problems?
Please check list of common issues.
Contributing
Please see the contributing guidelines.
Useful links
Licensing and copyright
Copyright 2018 University College London. scikit-surgeryvtk is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
2 maintainers
Metadata
2 maintainers
Release files for scikit-surgeryvtk 0.5.1
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| File | Interpreter | ABI | Platform | Reset |
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| scikit_surgeryvtk-0.5.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / scikit_surgeryvtk-0.5.1-py2.py3-none-any.whl
| Download URL | scikit_surgeryvtk-0.5.1-py2.py3-none-any.whl |
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| Size | 44.3 kB |
| Tags | Python 2 Python 3 |
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