scikit-surgerytorch
Author: Thomas Dowrick
scikit-surgerytorch 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).
The aim of scikit-surgery torch is to provide a home for various pytorch models/examples/utilities that may be useful for Image Guided Surgery.
Features
Implemented models:
High Resolution Stereo network Inference only, see author’s repo for pre trained weights. As at commit aae0b9b.
Volume2SurfaceCNN Inferencece only, see author’s repo for pre trained weights. As at commit 5a656381.
Models can run on GPU or CPU.
Example usage in tests/.
scikit-surgerytorch is NOT meant to be a layer on-top of pytorch or provide a new kind-of platform. The aim is that researchers can learn from examples, and importantly, learn how to deliver an algorithm that can be used by other people out of the box, with just a `pip install`, rather than a new user having to re-implement stuff, or struggle to get someone else’s code running.
Cloning
You can clone the repository using the following command:
git clone https://github.com/UCL/scikit-surgerytorch
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 sksurgerytorch
Installing
You can pip install directly from the repository as follows:
pip install git+https://github.com/UCL/scikit-surgerytorch
Contributing
Please see the contributing guidelines.
Useful links
Licensing and copyright
Copyright 2020 University College London. scikit-surgerytorch is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
1 maintainer
Metadata
1 maintainer
Release files for scikit-surgerytorch 0.2.6
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_surgerytorch-0.2.6-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / scikit_surgerytorch-0.2.6-py2.py3-none-any.whl
| Download URL | scikit_surgerytorch-0.2.6-py2.py3-none-any.whl |
|---|---|
| Size | 23.7 kB |
| Tags | Python 2 Python 3 |
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