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ZQPei / deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch
MIT License
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support cosine metric learning？ #10

Open feihuidiqiu opened 5 years ago

feihuidiqiu commented 5 years ago

It seems that the train.py does not support cosine metric learning in deepsort, is there a plan to support that? thank you

ZQPei commented 5 years ago

Yeah, you can change model.py to use SOTA reid models.

sandeshshrestha45 commented 5 years ago

Does it mean that it uses only standard softmax function ?

dongfangduoshou123 commented 5 years ago

deep sort中位置的更新就是kalman滤波去做; 提取的cnn特征仅用于已跟踪的目标的cnn特征 与新检测的目标的cnn特征之间计算效率矩阵; 效率矩阵用于确定检测与已跟踪之间的匹配问题 （通过匈牙利算法），得到maches、unmatch_tracks、unmatch_dets分别做不同的跟踪处理，如初始化新跟踪器，update位置、mark_miss。 是这么个过程吧。

ghm666 commented 5 years ago

Does it mean that it uses only standard softmax function ? I looked at the code and found that the cosine metric learning is not supported.

ZQPei commented 5 years ago

Does it mean that it uses only standard softmax function ? I looked at the code and found that the cosine metric learning is not supported.

Yes, it only uses standard softmax function here, no cosine metric learning. Pull requests is welcomed for improvement.