How to use the MS-AOT to test custom dataset
Opened this issue · 5 comments
Hello !
Thanks for sharing your work ! How do use MS-AOT to evaluate custom tracking datasets and output the prediction mask ?
Could you give me some suggestions ?
Thank you !
Hi, please check here in README, which allows you to run models on custom datasets. The results are saved as videos and masks.
- We haven't release the code of MS-AOT, but DeAOT might be a choice for better performance and efficiency compared with original AOT.
Hi, please check here in README, which allows you to run models on custom datasets. The results are saved as videos and masks.
- We haven't release the code of MS-AOT, but DeAOT might be a choice for better performance and efficiency compared with original AOT.
Thank you for your kind reply ! I would follow your suggestion. As my dataset has small targets and occlusions, I would also like to try evaluating it using the MS-AOT method. In addition, I noticed in issue #32 you mentioned the source code of MS-AOT, and I found in 'evaluate_ms_aot.sh' using vot-toolkit to get results. Can I use the checkpoint of MS-AOT and Mixformer to evaluate my own dataset following the 'tools/eval.py' ?
Thank you !
Hi, MS-AOT currently is not integrated in this repository. The code in issue #32 is only for vot datasets and different from the framework in this repo.
We will integrate the code of MS-AOT into this repo in recent days.
Hi, MS-AOT currently is not integrated in this repository. The code in issue #32 is only for vot datasets and different from the framework in this repo. We will integrate the code of MS-AOT into this repo in recent days.
Thank you for your kind reply !
Any update on MS-AOT code availability?