Comments (4)
fenguan
commented on August 16, 2024
My confusion lies in the fact that recent methods such as bytetrack and ocsort do not seem to have ReID. Is it because the effect has deteriorated due to the addition of ReID
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mikel-brostrom
commented on August 16, 2024
The use of ReID or not has to do, mostly, with execution time.
- With ReID --> Slower execution time
- Without ReID --> Faster execution time
Out of the three main MOT metrics (HOTA, MOTA, IDF1), the maximum metric boost by using ReiD is in IDF1
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fenguan
commented on August 16, 2024
Therefore, is the processing method to add the cost matrices of IOU and REID, and multiply REID by a coefficient?
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mikel-brostrom
commented on August 16, 2024
You need to check each tracker for the details 😄
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Related Issues (20)
- How can we calculate the FPS of each tracker? HOT 1
- Run Strong Sort Tracker on GPU HOT 3
- AttributeError: 'BYTETracker' object has no attribute 'reset' HOT 1
- What should I do when there is no detection HOT 5
- train a REID MODEL HOT 2
- How to combine ocsort and other algorithms you provide with yolov8? HOT 2
- StrongSORT plotting results HOT 4
- TensorRT HOT 9
- Applicability of Boxmot in my case HOT 6
- `KalmanBoxTracker.observations` grows infinitely, causing out of memory HOT 1
- Unable to pass `embs` to tarcker HOT 3
- it can't run when i start tracking
- How can i use ZED camera for this approach? HOT 1
- (OCSORT, DeepOCSORT) shape specs not match doc function HOT 3
- Why reid is not working at all in my case? HOT 4
- Disable ReID module HOT 3
- Using different Reid models to evaluate DeepOcsort, but getting the same evaluation results HOT 4
- PyTorch version automatic update HOT 2
- Evaluation using bytetrack HOT 1
- Why does the frame id of the txt file generated by the evaluation start at 2 HOT 1
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