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JackWoo0831 / Yolov7-tracker

Yolo v5, v7, v8 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in your own projects.
GNU General Public License v3.0
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visdroneMOT训练的yolov7权重类别与visdroneMOT测试集的annotations不一致 #108

Open sunshinewxx opened 1 week ago

sunshinewxx commented 1 week ago

您好，您在visdroneMOT训练的yolov7权重类别是 0: pedestrian
1: people 2: bicycle 3: car 4: van 5: truck 6: tricycle 7: awning-tricycle
8: bus 9: motor 而visdroneMOT测试集的annotations的类别是ignored regions (0), pedestrian (1), people (2), bicycle (3), car (4), van (5), truck (6), tricycle (7), awning-tricycle (8), bus (9), motor (10), others (11)，即visdroneMOT测试集的annotations的类别id与yolo训练权重的类别不一致，这会影响TrackEal计算MOTA、HOTA、DF1等指标精度吗？

JackWoo0831 commented 1 week ago

您好，按道理这会影响的，所以您需要按照不同的数据集配置TrackEval，您可以参考一下https://blog.csdn.net/wjpwjpwjp0831/article/details/130126237