Comments (4)
FearlessArmy
commented on June 16, 2024
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HYUNJS
commented on June 16, 2024
That configuration trains SGT using half of the MOT17 training set and evaluates the other half. Actually, all experiments for the paper are conducted using the docker file with CUDA10.1.
Since the following MOT17 split for the ablation experiment is quite small, I also observed ~1 MOTA fluctuation. If you use MOT17 full-set training or joint training with CrowdHuman, such performance gap would be reduced.
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FearlessArmy
commented on June 16, 2024
@HYUNJS I also trained with the crowdhuman dataset and the results were just as poor，The best MOTA is 72.8%
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HYUNJS
commented on June 16, 2024
Can you try these pretrained weights?
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Related Issues (17)
- Code release ETA HOT 2
- code release HOT 3
- code release HOT 2
- code release HOT 6
- What GPU are you using for training models？ HOT 3
- error HOT 4
- no detectron2 file HOT 5
- no ctdet_coco_dla_2x_converted.pth file and the eval phase HOT 9
- ZeroDivisionError: division by zero HOT 3
- checkpoint warning HOT 1
- I have a problem with such an error when I execute the python projects/SGT/train_net.py --config-file projects/SGT/configs/MOT17/sgt_dla34.yaml --data-dir /root/datasets --num-gpus 2 OUTPUT_DIR /root/sgt_output/mot17_val/dla34_mot17-CHcommand HOT 1
- KeyError: 'Non-existent config key: SGT' HOT 1
- [04/05 10:36:05 projects.Datasets.MIX.builtin]: Build dataset dict from mot17_sub.train [04/05 10:36:06 projects.Datasets.MIX.builtin]: % bboxes below visibility threshold 0.0 [04/05 10:36:06 projects.Datasets.MIX.builtin]: mot17-02-sdp : 0.00 [04/05 10:36:06 projects.Datasets.MIX.builtin]: mot17-04-sdp : 0.00 [04/05 10:36:06 projects.Datasets.MIX.builtin]: mot17-05-sdp : 0.00 [04/05 10:36:06 projects.Datasets.MIX.builtin]: mot17-09-sdp : 0.00 [04/05 10:36:06 projects.Datasets.MIX.builtin]: mot17-10-sdp : 0.00 [04/05 10:36:06 projects.Datasets.MIX.builtin]: mot17-11-sdp : 0.00 [04/05 10:36:06 projects.Datasets.MIX.builtin]: mot17-13-sdp : 0.00 [04/05 10:36:06 projects.Datasets.MOT.build]: Removed 0 images with no usable annotations. 2657 images left. HOT 1
- _evaluate_predictions_on_coco( TypeError: _evaluate_predictions_on_coco() got an unexpected keyword argument 'use_fast_impl' HOT 4
- About the inference
- How to test?
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