Mike

> Reassign tracked object to a newly detected object with the current object_d The people object detectors provided here are not the best. We do this so that people don't...

> since my goal is to get an output text file that contains the segments of the tracked objects Do you mean the segmentation mask withing the bounding boxes associated...

Nice :rocket:! I am evaluating botsort now on MOT17. Dropping the results in a few minutes. Btw, I got rid of `pximport` so that no special installation is needed for...

Aha, I see. This is implemented here: https://github.com/mikel-brostrom/Yolov5_StrongSORT_OSNet/blob/b0ea7d11994a92d7e8cea5613ba765c39ab00025/trackers/strong_sort/strong_sort.py#L149 Only that the mask is not saved

``` HOTA: exp349-pedestrian HOTA DetA AssA DetRe DetPr AssRe AssPr LocA OWTA HOTA(0) LocA(0) HOTALocA(0) MOT17-04-FRCNN 59.966 59.194 61.305 63.979 76.757 65.175 81.042 81.192 62.57 79.29 75.634 59.971 MOT17-05-FRCNN 41.459...

> You've already tried BoT-SORT :joy: I tried it just when it came out, at that point in time it was not real-time with the provided code. Recently they added...

> So are we dropping the plan?? Not at all. Given that MOTA already gets quite a big boost (+1.563) it should be feasible to fix the boost for IDF1...

I am checking if feature normalization can be the issue here. I would recommend that you check the ReID feature handling in StrongSORT to try to find inconsistencies between both.

Nope, normalization is not the issue here. It is handled in the track itself https://github.com/NirAharon/BoT-SORT/blob/98173060469b656ae8653acab97b0e37887d6b1a/tracker/bot_sort.py#L35

I found something interesting: https://github.com/NirAharon/BoT-SORT/blob/98173060469b656ae8653acab97b0e37887d6b1a/tracker/matching.py#L160 The activated fuse is a simpler one than the one in the link above, which is closer to the one used in StrongSORT