scikit-surgeryvideoutils is a python project containing a few test and demo utilities, based around opencv-contrib-python for video processing and PySide2 for GUI windows and widgets.
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.
scikit-surgeryvideoutils is part of the SNAPPY software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).
You can pip install directly from the repository as follows:
pip install git+https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgeryvideoutils
You can clone the repository using the following command:
git clone https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgeryvideoutils
Running the tests
You can run the unit tests by installing and running tox:
pip install tox tox
Please see the contributing guidelines.
Licensing and copyright
Copyright 2018 University College London. scikit-surgeryvideoutils is released under the BSD-3 license. Please see the license file for details.
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