@@ -10,11 +10,12 @@ SORT,
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DeepSORT,
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ByteTrack([ ECCV2022] ( https://arxiv.org/pdf/2110.06864 ) ),
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DeepMOT([ CVPR2020] ( https://openaccess.thecvf.com/content_CVPR_2020/papers/Xu_How_to_Train_Your_Deep_Multi-Object_Tracker_CVPR_2020_paper.pdf ) ),
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- BoT-SORT([ arxiv2206] ( https://arxiv.org/pdf/2206.14651.pdf ) ),
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+ BoT-SORT([ arxiv2206] ( https://arxiv.org/pdf/2206.14651.pdf ) ),
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+ UAVMOT([ CVPR2022] ( https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Multi-Object_Tracking_Meets_Moving_UAV_CVPR_2022_paper.pdf ) )
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## TODO
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- - [ ] 集成UAVMOT([ CVPR2022] ( https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Multi-Object_Tracking_Meets_Moving_UAV_CVPR_2022_paper.pdf ) )
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+ - [x ] 集成UAVMOT([ CVPR2022] ( https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Multi-Object_Tracking_Meets_Moving_UAV_CVPR_2022_paper.pdf ) )
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- [ ] 达到更好的结果(缓解类别不平衡, 小目标等等)...
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- [ ] MOT challenge数据集
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- [ ] 更换Re-ID模型
@@ -32,9 +33,10 @@ YOLO v7 VisDrone训练完模型:
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| :--------------| :-------:| :------:| :------:| :------:|
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| SORT | ** 26.4** | 36.4 | 3264 | 12.2 |
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| DeepSORT | 12.1 | 26.9 | 3860 | 12.4|
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- | ByteTrack | 25.1 | 40.8| 1590 | ** 14.32** |
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+ | ByteTrack | 25.1 | 40.8| 1590 | 14.32|
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| DeepMOT | 15.0 | 24.8| 3666 | 7.64|
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| BoT-SORT | 23.0 | ** 41.4** | ** 1014** | 5.41|
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+ | UAVMOT | 25.0 | 40.5 | 1644 | ** 18.56** |
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> fps具有一定的随机性
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@@ -95,6 +97,11 @@ python tracker/track.py --dataset visdrone --data_format origin --tracker deepmo
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python tracker/track.py --dataset visdrone --data_format origin --tracker botsort --model_path runs/train/yolov7-w6-custom4/weights/best.pt
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```
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+ *** UAVMOT***
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+ ``` shell
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+ python tracker/track.py --dataset visdrone --data_format origin --tracker uavmot --model_path runs/train/yolov7-w6-custom4/weights/best.pt
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+ ```
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+
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> 您也可以通过增加
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> ``` shell
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> --save_images --save_videos
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