@@ -10,11 +10,12 @@ SORT,
1010DeepSORT,
1111ByteTrack([ ECCV2022] ( https://arxiv.org/pdf/2110.06864 ) ),
1212DeepMOT([ CVPR2020] ( https://openaccess.thecvf.com/content_CVPR_2020/papers/Xu_How_to_Train_Your_Deep_Multi-Object_Tracker_CVPR_2020_paper.pdf ) ),
13- BoT-SORT([ arxiv2206] ( https://arxiv.org/pdf/2206.14651.pdf ) ),
13+ BoT-SORT([ arxiv2206] ( https://arxiv.org/pdf/2206.14651.pdf ) ),
14+ UAVMOT([ CVPR2022] ( https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Multi-Object_Tracking_Meets_Moving_UAV_CVPR_2022_paper.pdf ) )
1415
1516
1617## TODO
17- - [ ] 集成UAVMOT([ CVPR2022] ( https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Multi-Object_Tracking_Meets_Moving_UAV_CVPR_2022_paper.pdf ) )
18+ - [x ] 集成UAVMOT([ CVPR2022] ( https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Multi-Object_Tracking_Meets_Moving_UAV_CVPR_2022_paper.pdf ) )
1819- [ ] 达到更好的结果(缓解类别不平衡, 小目标等等)...
1920- [ ] MOT challenge数据集
2021- [ ] 更换Re-ID模型
@@ -32,9 +33,10 @@ YOLO v7 VisDrone训练完模型:
3233| :--------------| :-------:| :------:| :------:| :------:|
3334| SORT | ** 26.4** | 36.4 | 3264 | 12.2 |
3435| DeepSORT | 12.1 | 26.9 | 3860 | 12.4|
35- | ByteTrack | 25.1 | 40.8| 1590 | ** 14.32** |
36+ | ByteTrack | 25.1 | 40.8| 1590 | 14.32|
3637| DeepMOT | 15.0 | 24.8| 3666 | 7.64|
3738| BoT-SORT | 23.0 | ** 41.4** | ** 1014** | 5.41|
39+ | UAVMOT | 25.0 | 40.5 | 1644 | ** 18.56** |
3840
3941> fps具有一定的随机性
4042
@@ -95,6 +97,11 @@ python tracker/track.py --dataset visdrone --data_format origin --tracker deepmo
9597python tracker/track.py --dataset visdrone --data_format origin --tracker botsort --model_path runs/train/yolov7-w6-custom4/weights/best.pt
9698```
9799
100+ *** UAVMOT***
101+ ``` shell
102+ python tracker/track.py --dataset visdrone --data_format origin --tracker uavmot --model_path runs/train/yolov7-w6-custom4/weights/best.pt
103+ ```
104+
98105> 您也可以通过增加
99106> ``` shell
100107> --save_images --save_videos
0 commit comments