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27.335653168
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基于yolov4的老鼠位置检测,并且裁剪了模型大小 基于pytorch+cuda框架开发 总体框架使用yolov4 backbone使用ghost neck部分使用mobilenetv2的InvertedResidual替换卷积层 跟踪使用SORT(simple online realtime track) 模型由yolov4的240M->30M.Neck SPP部分不变.FPN部分减少了特征层层数.Head部分还暂未修改 跟踪只是基本的卡尔曼滤波+匈牙利匹配,匈牙利匹配是根据iou,这段刚开始准备.准备移植deep sort的马氏距离
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