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Published 20 hours ago • verified publisher icon open-mmlab

Custom MOT data

Open whiteplatin opened this issue 3 years ago • 3 comments

Ive got a video labelled as MOT which looks something like gt.txt: 1,1,1126.93,422.16,85.66999999999985,163.32,1,1,1.0 2,1,1127.48,421.92,85.67000000000007,163.32,1,1,1.0 3,1,1128.03,421.68,85.67000000000007,163.32,1,1,1.0 4,1,1128.58,421.44,85.67000000000007,163.32,1,1,1.0 5,1,1129.13,421.2,85.66999999999985,163.32,1,1,1.0 6,1,1129.68,420.96,85.66999999999985,163.32,1,1,1.0 . . . Its using custom classes

In https://github.com/open-mmlab/mmtracking/blob/master/tools/convert_datasets/mot/mot2coco.py it mentions DET and Results, is that required ? I was hoping to get DET and Results after running mmtracking

whiteplatin avatar Apr 27 '22 11:04 whiteplatin

Hi, only if your tracker need detections as input (e.g., DeepSORT), DET is required. "Results" is generated by running mmtracking.

Best wishes.

dyhBUPT avatar Apr 28 '22 09:04 dyhBUPT

To be precise, DET is designed for public-detection, which means different tracking algorithms share the detection results to be associated. If you are not targeting this goal, DET files are not necessary.

noahcao avatar May 03 '22 16:05 noahcao

If no public detections are provided, you can define your own MOT datasets by imitating the support of DanceTrack dataset as in PR #543 .

noahcao avatar May 06 '22 05:05 noahcao