This repository contains the official evaluation toolkit for the Visual Object Tracking (VOT) challenge. This is the official version of the toolkit, implemented in Python 3 language. If you are looking for the old Matlab version, you can find an archived repository here.
For more detailed informations consult the documentation available here. You can also subscribe to the VOT mailing list to receive news about challenges and important software updates or join our support form to ask questions.
The VOT toolkit is developed and maintained by Luka Čehovin Zajc with the help of the VOT innitiative members and the VOT community.
Contributors:
- Luka Čehovin Zajc, University of Ljubljana
- Alan Lukežič, University of Ljubljana
- Yan Song, Tampere University
The development of this package was supported by Slovenian research agency (ARRS) projects Z2-1866 and J2-316.
Copyright (C) 2024 Luka Čehovin Zajc and the VOT Challenge innitiative.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
If you have any further enquiries, question, or comments, please refer to the contact information link on the VOT homepage. If you would like to file a bug report or a feature request, use the Github issue tracker. The issue tracker is for toolkit issues only, if you have a problem with tracker integration or any other questions, please use our support forum.