The VOT toolkit is the official evaluation tool for the Visual Object Tracking (VOT) challenge. It is written in Python 3 language. The toolkit is designed to be easy to use and to have broad support for various trackers, datasets and evaluation measures.
The VOT toolkit is developed by the VOT Committee, primarily by Luka Čehovin Zajc and the tracking community as an open-source project (GPLv3 license).
Contributions to the VOT toolkit are welcome, the preferred way to do it is by submitting an issue or a pull requests on GitHub.
.. toctree:: :maxdepth: 1 overview tutorials api