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Matteo Dunnhofer authored and Matteo Dunnhofer committed Dec 2, 2022
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### VOT-LT test instructions

To run the VOT Challenge Long-term experiments please follow these instructions:

+ Clone the repository ``git clone https://github.com/matteo-dunnhofer/CoCoLoT``
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+ Run the evaluation by ``vot analysis CoCoLoT``


### If you fail to run our tracker please write to ``[email protected]``
#### If you fail to run our tracker please write to ``[email protected]``


### An improved version of CoCoLoT (submitted to the VOT2022 Challenge) exploiting Stark and KeepTrack is downloadable [here](http://data.votchallenge.net/vot2022/trackers/CoCoLoT-code-2022-04-28T08_08_35.527492.zip).
#### An improved version of CoCoLoT (submitted to the VOT2022 Challenge) exploiting Stark and KeepTrack is downloadable [here](http://data.votchallenge.net/vot2022/trackers/CoCoLoT-code-2022-04-28T08_08_35.527492.zip).


### References
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+ [pytracking](https://github.com/visionml/pytracking)
+ [Stark](https://github.com/researchmm/Stark)
+ [LTMU](https://github.com/Daikenan/LTMU)

Copyright © Machine Learning and Perception Lab - University of Udine - 2021 - 2022

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