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FishMOT
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Fish multi-target tracking based on yolo
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FishMOT
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# FishMOT ## Fish multi-target tracking based on yolo ## Please wait for the paper to be published for all codes --- Bilibili video address [Fish multi-target tracking](https://www.bilibili.com/video/BV1Ap4y1n7XW/)<br>  Bilibili video address [100 and 10 fish tracking videos](https://www.bilibili.com/video/BV1SV411T7r9/) ## Performance --- The tracking results of 10 fish in a 300-frame video using 10 different methods. <img width="710" alt="截屏2023-09-04 09 04 10" src="https://github.com/gakkistar/FishMOT/assets/92698686/0024af03-f073-42e2-ab55-b76b1d4ac352"> --- The tracking results of 100 fish in a 300-frame video using 10 different methods. <img width="713" alt="截屏2023-09-04 09 04 19" src="https://github.com/gakkistar/FishMOT/assets/92698686/ca87e720-0b35-4ee4-a211-d00bf7bd6384"> --- The tracking results obtained by 10 and 100 fish in a 300-frame video using 3 algorithms. <img width="629" alt="截屏2023-09-04 09 04 30" src="https://github.com/gakkistar/FishMOT/assets/92698686/c214d095-9608-48e9-9d92-171faab47213"> ## overview ---  ## Training detection model View yolov7 --- YOLOv7 Training dataset preparationx YOLOv7 Training<br> [Yolov7 training process](https://github.com/WongKinYiu/yolov7) Use of FishMOT:<br> Use yolo first to get results ```commandline python tack.py --fish_num 10 --path fish_10 ```