scikit-surgeryvideoutils 0.1.0

scikit-surgeryvideoutils

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).

Installing

You can pip install directly from the repository as follows:

pip install git+https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgeryvideoutils

Developing

Cloning

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

Contributing

Please see the contributing guidelines.

Useful links

• Source code repository

• Documentation

Licensing and copyright

Copyright 2018 University College London. scikit-surgeryvideoutils is released under the BSD-3 license. Please see the license file for details.

Acknowledgements

Supported by Wellcome and EPSRC.