Comments (3)
jarvijd
commented on June 20, 2024
just wondering - did you ever find an answer to this question?
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muhammad-usama-aleem
commented on June 20, 2024
no, as you can see. I found some repositories which does not work now and even there dataset is not available. let me know if you get any lead.
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rolson24
commented on June 20, 2024
My guess is that you would want to make a model that is similar to the Fast ReID model (but more powerful and accurate) to get the embedding vectors for each detection box, and then match the detections from one camera to the next based on how close they are in the embedding space. Honestly it sounds like you would need some sort of facial recognition or something depending on if the cameras are looking at the same area or not, and how long you want the tracker to remember a person.
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Related Issues (20)
- CL.EXE -Application Error
- Prediction from Kalman
- How to train on custom
- How to train on custom dataset and evaluate the MOTA?
- How should I adjust parameters when tracking bbox results for low scores?
- The identification ID is not assigned correctly HOT 1
- Error: all query identities do not appear in gallery HOT 2
- reproducing demo but blank output
- No inf checks were recorded for this optimizer HOT 2
- Where is the option of Tracklet Interpolation ? HOT 1
- cv2.error: OpenCV(4.8.0) /io/opencv/modules/core/src/batch_distance.cpp:274: error: (-215:Assertion failed) type == src2.type() && src1.cols == src2.cols && (type == CV_32F || type == CV_8U) in function 'batchDistance'
- Warning with gmc.py, line 273, not enough matching point. HOT 1
- Has anyone tried to use DT-DETR or similar instead of YOLO in BoT-SORT? HOT 1
- About model training
- can yolov8 support？
- How to train without Pre-trained Backbones like resnest50?
- Bug Report: duplicate STracks in the list tracker.removed_stracks
- MOT17 test results
- Small Object tracking
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