scikit-surgeryarucotracker
Author: Stephen Thompson
scikit-surgeryarucotracker provides a simple Python interface between OpenCV’s ARuCo marker tracking libraries and other Python packages designed around scikit-surgerytrackers. It allows you to treat an object tracked using ARuCo markers in the same way as an object tracked using other tracking hardware (e.g. aruco - scikit-surgerynditracker).
scikit-surgeryarucotracker 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-surgeryarucotracker is tested with Python 3.6 and may support other Python versions.
Installing
pip install scikit-surgeryarucotracker
Using
Configuration is done using Python libraries. Tracking data is returned in NumPy arrays.
from sksurgeryarucotracker.arucotracker import ArUcoTracker
config = {
"video source" : 0
}
tracker = ArUcoTracker(config)
tracker.start_tracking()
print(tracker.get_frame())
tracker.stop_tracking()
tracker.close()
Developing
Cloning
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/scikit-surgeryarucotracker
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 2019 University College London. scikit-surgeryarucotracker is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
2 maintainers
Metadata
2 maintainers
Release files for scikit-surgeryarucotracker 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| scikit_surgeryarucotracker-1.1.0.tar.gz | 37.5 kB | Without provenance | Details |
Release files / scikit_surgeryarucotracker-1.1.0.tar.gz
| Download URL | scikit_surgeryarucotracker-1.1.0.tar.gz |
|---|---|
| Size | 37.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
008f99270a3d3879b3b27f386a950a44936765814e915c5879545184b540ccda
|
|
BLAKE2b-256 checksum How to use checksums |
1d5f047c07b3b8341c7b69603b4e2006c6b6fbaca86d34d74fea10d05cc33112
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Security for scikit-surgeryarucotracker 1.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
