scikit-surgeryvtk
scikit-surgeryvtk implements VTK for Image Guided Surgery applications.
Author: Thomas Dowrick
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).
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
Contributing
Please see the contributing guidelines.
Useful links
Source code repository Documentation
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 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_surgeryvtk-0.4.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / scikit_surgeryvtk-0.4.0-py2.py3-none-any.whl
| Download URL | scikit_surgeryvtk-0.4.0-py2.py3-none-any.whl |
|---|---|
| Size | 35.0 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/20.7.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/2.7.12
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