scikit-surgeryarucotracker is a simple tracking interface using ARuCo markers
Project description
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.connect() 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/UCL/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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for scikit-surgeryarucotracker-0.1.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6c1645285c1060cd6d3c53dd57d550ae8b540d87ce8a3aefa4c8b4f5d5a7f682 |
|
MD5 | 870d774f3e4aade9a08a62c1074ac48e |
|
BLAKE2b-256 | 6b7c8e331a8aa911e30662603b001f1db67a107c64e6d331bf51d4be173344dc |