Comments (2)
timmeinhardt
commented on July 17, 2024
Hello, your object detector should be suitable for using it with Tracktor but training it properly is something you have to do. For a high MOTA, the AP is not that important. If you evaluate your detection results with the official MOTChallenge devkit you will get the MODA (not MOTA) score. Tuning this score is a better indicator for high MOTA and yes the detection_person_thresh and regression_person_thresh are crucial for this.
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Tangzl7
commented on July 17, 2024
Thank you for your reply. I will keep trying.
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Related Issues (20)
- How do you train Tracktor itself? HOT 2
- No module named 'torchreid' HOT 6
- What does the various column items in det.txt file represent? HOT 9
- Should I train det and reid for tracktor? HOT 2
- can
- can't find the module named "tracktor.config" HOT 3
- Looking for more training details of given models HOT 1
- No such file or directory: ...../model_epoch_27.model' HOT 5
- Train reid and detector for custom objects /labels ( not people/cars) HOT 6
- how to reproduce the results of this repository on colab HOT 2
- Online or Offline method HOT 2
- requirments issue HOT 1
- About put the own dataset detection result to do tracker
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument tensors in method wrapper___cat) HOT 1
- How to train your own dataset? HOT 1
- Is box regression method predict_boxes applicable to tracking multiple objects, number of interested objects>2
- Issues in requirements.txt
- I cannot open the link of Train and test object detector (Faster R-CNN with FPN) on Google Colab notebook HOT 4
- ModuleNotFoundError: No module named 'mask_rcnn_tracktor' HOT 3
- TrackFormer: Multi-Object Tracking with Transformers HOT 1
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