scikit-surgerytrackervisualisation
Author: Stephen Thompson
scikit-surgerytrackervisualisation 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-surgerytrackervisualisation supports Python 2.7 and Python 3.6.
scikit-surgerytrackervisualisation implements a basic interface for showing tracking output from a SciKit-Surgery tracker.
python scikit-surgerytrackervisualisation.py python scikit-surgerytrackervisualisation.py --config config.json
Please explore the project structure, and implement your own functionality.
Developing
Cloning
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/scikit-surgerytrackervisualisation
Running tests
Pytest is used for running unit tests:
pip install pytest python -m pytest
Linting
This code conforms to the PEP8 standard. Pylint can be used to analyse the code:
pip install pylint pylint --rcfile=tests/pylintrc scikit-surgerytrackervisualisation
Installing
You can pip install directly from the repository as follows:
pip install git+https://github.com/SciKit-Surgery/scikit-surgerytrackervisualisation
Contributing
Please see the contributing guidelines.
Useful links
Licensing and copyright
Copyright 2019 University College London. scikit-surgerytrackervisualisation is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
2 maintainers
Metadata
2 maintainers
Release files for scikit-surgerytrackervisualisation 0.0.5
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Total release size: 49.8 kB
Release files / scikit-surgerytrackervisualisation-0.0.5.tar.gz
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Release files / scikit_surgerytrackervisualisation-0.0.5-py2.py3-none-any.whl
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