ZQPei / deep_sort_pytorch

MOT using deepsort and yolov3 with pytorch
MIT License
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how to test the MOTA in MOT challenge #28

Open DENGZAIXU opened 5 years ago

tangsipeng commented 4 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

antoniolq commented 4 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

hello,can you tell me how to test it in MOT16?

zhoulin127 commented 4 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

can you tell how me how to testit in MOT16? Thank you very much

Angel0003 commented 4 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 能详细说下怎么得到这个结果的吗,yolov3_deepsort_eval.py 怎么运行能得到这个结果?非常感谢!急求

Angel0003 commented 4 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

can you tell how me how to testit in MOT16? Thank you very much

hi,could you tell me how to test on MOT16?

Angel0003 commented 4 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

hello,can you tell me how to test it in MOT16?

hi,could you tell me how to test on MOT16?

tangsipeng commented 4 years ago

这个是我自己参考其他项目评估代码写的测试,就是用本项目作者的权重文件直接测试的

------------------ 原始邮件 ------------------ 发件人: "Angel0003"<notifications@github.com>; 发送时间: 2020年6月10日(星期三) 晚上6:26 收件人: "ZQPei/deep_sort_pytorch"<deep_sort_pytorch@noreply.github.com>; 抄送: "汤斯鹏"<1085722534@qq.com>;"Comment"<comment@noreply.github.com>; 主题: Re: [ZQPei/deep_sort_pytorch] how to test the MOTA in MOT challenge (#28)

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

hello,can you tell me how to test it in MOT16?

hi,could you tell me how to test on MOT16?

— You are receiving this because you commented. Reply to this email directly, view it on GitHub, or unsubscribe.

LYZIP commented 4 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

为啥测出来的mota这么低呢,论文里的mota有60+。好奇怪啊,您知道为啥吗

Zzzcg commented 3 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

为啥测出来的mota这么低呢,论文里的mota有60+。好奇怪啊,您知道为啥吗 老哥,你找到原因了吗

WGY907 commented 3 years ago

i test it on mot16-02 only class of '1','2','7' result: IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP MOT16-02 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320 OVERALL 20.3% 49.9% 12.8% 21.1% 82.7% 66 6 21 39 1091 19439 113 258 16.3% 0.320

为啥测出来的mota这么低呢,论文里的mota有60+。好奇怪啊,您知道为啥吗 老哥,你找到原因了吗

你们怎么测试的,eval.py运行不了呀