scikit-surgeryutils - Tests/demos utilities, based around opencv-contrib-python-headless and PySide2
Project description
scikit-surgeryutils 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-surgeryutils containing small demo apps and utilities.
Features
Common overlay apps - Examples of common uses of scikit-surgeryvtk’s VTKOverlayWindow. Includes overlaying on a video feed, duplicating a feed.
Command Line Apps
sksurgeryvideolag.py - shows a millisecond timer and video image to crudely measure measure lag.
sksurgerycharucotest.py - extracts charuco points and annotates video image with each id detected.
sksurgeryrendermodelslikecamera.py - renders a VTK model, over background image, using OpenCV camera intrinsics.
sksurgerymakecalibrationdots.py - Create a calibraiton dot pattern.
sksurgeryreslice.py - DICOM reslice widget demo.
sksurgerytextoverlay.py - VTK text overlay demo.
sksurgerytransformpolydata.py - Read a surface mesh (.vtk,.vtp,.stl,.ply file), transform by 4x4 matrix and write as .vtk.
Installing
You can pip install directly from the repository as follows:
pip install git+https://github.com/SciKit-Surgery/scikit-surgeryutils
Developing
Cloning
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/scikit-surgeryutils
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
Licensing and copyright
Copyright 2018 University College London. scikit-surgeryutils is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
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