scikit-surgery-evaluation 0.0.2

A python library for performing surgical skills evaluation

Author: Stephen Thompson

scikit-surgery-evaluation provides an application to evaluate surgical skills. You can provide a set of unstructured grids representing a set of locations that the user is then expected to target using a tracked pointer, utilising a SNAPPY tracking library (scikit-surgeryarucotracker, or scikit-surgerynditracker). You can specify paths for the user to follow, or let the system select target meshes automatically.

scikit-surgery-evaluation is part of the SNAPPY software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).

scikit-surgery-evaluation supports Python 3.6.

python sksurgeryeval.py -c configuration.json

Developing

Cloning

You can clone the repository using the following command:

git clone https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgery-evaluation

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 sksurgeryeval

Installing

You can pip install directly from the repository as follows:

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

Contributing

Please see the contributing guidelines.

Useful links

• Source code repository
• Documentation

Licensing and copyright

Copyright 2019 University College London. scikit-surgery-evaluation is released under the BSD-3 license. Please see the license file for details.

Acknowledgements

Supported by Wellcome and EPSRC.