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scikit-surgerycalibration provides algorithms designed for the calibration of surgical instruments

Project description

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GitHub Actions CI statuss Test coverage Documentation Status The SciKit-Surgery paper Follow scikit_surgery on twitter

Author: Stephen Thompson

scikit-surgerycalibration 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-surgerycalibration is tested on Python 3.6-8.

scikit-surgerycalibration contains algorithms to perform calibrations useful during surgery, for example pointer calibration, ultrasound calibration, and camera calibration.

Please explore the project structure, and request or implement your desired functionality.

Features

  • Pivot Calibration for pivot calibration.

  • Calibration of mono or stereo tracked video data, calculating camera intrinsics and handeye transformation.

Developing

Cloning

You can clone the repository using the following command:

git clone https://github.com/SciKit-Surgery/scikit-surgerycalibration

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 sksurgerycalibration

Installing

You can pip install directly from the repository as follows:

pip install git+https://github.com/SciKit-Surgery/scikit-surgerycalibration

Contributing

Please see the contributing guidelines.

Acknowledgements

Supported by Wellcome and EPSRC.

Project details


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scikit-surgerycalibration-0.2.1.tar.gz (63.0 kB view hashes)

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