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 SciKit-Surgery 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 SciKit-Surgery 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.X.
python sksurgeryeval.py -c configuration.json
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/scikit-surgery-evaluation
Pytest is used for running unit tests:
pip install pytest python -m pytest
This code conforms to the PEP8 standard. Pylint can be used to analyse the code:
pip install pylint pylint --rcfile=tests/pylintrc sksurgeryeval
You can pip install directly from the repository as follows:
pip install git+https://github.com/SciKit-Surgery/scikit-surgery-evaluation
Please see the contributing guidelines.
Copyright 2019 University College London. scikit-surgery-evaluation is released under the BSD-3 license. Please see the license file for details.