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Matteo Dunnhofer
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Matteo Dunnhofer
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@@ -20,6 +20,7 @@ OS: Ubuntu 20.04 | |
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### VOT-LT test instructions | ||
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To run the VOT Challenge Long-term experiments please follow these instructions: | ||
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+ Clone the repository ``git clone https://github.com/matteo-dunnhofer/CoCoLoT`` | ||
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@@ -44,10 +45,10 @@ and do the same in the file ``trackers.ini`` by substituting the paths ``[full-p | |
+ Run the evaluation by ``vot analysis CoCoLoT`` | ||
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### If you fail to run our tracker please write to ``[email protected]`` | ||
#### If you fail to run our tracker please write to ``[email protected]`` | ||
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### 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). | ||
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### References | ||
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@@ -86,3 +87,5 @@ The code presented here is built up on the following repositories: | |
+ [pytracking](https://github.com/visionml/pytracking) | ||
+ [Stark](https://github.com/researchmm/Stark) | ||
+ [LTMU](https://github.com/Daikenan/LTMU) | ||
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Copyright © Machine Learning and Perception Lab - University of Udine - 2021 - 2022 |