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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.

Acknowledgements

Supported by Wellcome and EPSRC.

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)

Table of built distributions (wheels) for scikit-surgeryutils 0.3.1
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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

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