scikit-surgeryutils 1.0.2

scikit-surgeryutils - Tests/demos utilities, based around opencv-contrib and PySide2

scikit-surgeryutils 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-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/UCL/scikit-surgeryutils

Developing

Cloning

You can clone the repository using the following command:

git clone https://github.com/UCL/scikit-surgeryutils

Running the tests

You can run the unit tests by installing and running tox:

pip install tox
tox

Encountering Problems?

Please check list of common issues.

Contributing

Please see the contributing guidelines.

Useful links

• Source code repository
• Documentation

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

Supported by Wellcome and EPSRC.