scikit-surgeryutils

Author(s): Miguel Xochicale, Thomas Dowrick, Stephen Thompson and Matt Clarkson; Contributor(s): Mian Ahmad.

scikit-surgeryutils containing small demo apps and utilities.

scikit-surgeryvtk is tested on Python 3.8. and may support other Python versions.

Features

Common overlay apps - Examples of common uses of scikit-surgeryvtk’s VTKOverlayWindow. Includes overlaying on a video feed, duplicating a feed.

Open a terminal, load your virtual environment and run the application as python sk*.py.

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.
sksurgerystereorenderer.py - Reads a set of meshes, overlays on stereo video. Documentation.

You can pip install directly from the repository as follows:

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

You can clone the repository using the following command:

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

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

pip install tox
tox
tox -e docs
tox -e lint

Tox will create a separate venv in .tox/test. See tox.ini for commands that tox runs.