scikit-surgeryutils is a python project containing small demo apps, and small command apps, the sort of thing that probably doesn’t warrant its own project.
sksurgeryvideolag.py - shows a millisecond timer and video image to measure lag.
sksurgerycharucotest.py - extracts charuco points and annotates video image with each id detected.
sksurgeryrendermodelslikecamera.py - renders a VTK model, using OpenCV camera intrinsics.
scikit-surgeryutils 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 directly from the repository as follows:
pip install git+https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgeryutils
Developing
Cloning
You can clone the repository using the following command:
git clone https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgeryutils
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-surgeryutils is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
Release files for scikit-surgeryutils 0.3.1
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_surgeryutils-0.3.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Release files / scikit_surgeryutils-0.3.1-py2.py3-none-any.whl
| Download URL | scikit_surgeryutils-0.3.1-py2.py3-none-any.whl |
|---|---|
| Size | 19.4 kB |
| Tags | Python 2 Python 3 |
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