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Published 20 hours ago • verified publisher icon ZQPei

Could anyone tell me why is the MOTP is so low？

Open fyture opened this issue 4 years ago • 7 comments

fyture avatar Nov 27 '20 08:11 fyture

Have you solved it?

oomq avatar Apr 20 '21 08:04 oomq

@fyture @oomq my MOTP is low ,too.have you solve it?

Kaiwen6 avatar Jun 21 '21 13:06 Kaiwen6

@fyture @oomq my MOTP is low ,too.have you solve it?

What about your other indicators？

oomq avatar Jun 21 '21 15:06 oomq

@oomq IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP IDt IDa IDm MOT16-02 25.6% 56.1% 16.6% 25.5% 86.2% 54 5 19 30 727 13281 60 183 21.1% 0.261 65 10 17 MOT16-04 40.2% 64.8% 29.1% 38.9% 86.4% 83 7 42 34 2902 29059 130 555 32.5% 0.249 108 27 18 MOT16-05 39.7% 50.2% 32.8% 55.2% 84.5% 125 30 64 31 692 3053 64 148 44.1% 0.263 137 7 84 MOT16-09 40.0% 50.7% 33.0% 59.6% 91.7% 25 7 15 3 285 2122 59 92 53.1% 0.232 60 4 11 MOT16-10 29.5% 42.8% 22.5% 42.5% 80.8% 54 8 23 23 1245 7085 152 317 31.1% 0.274 140 23 29 MOT16-11 36.4% 46.4% 30.0% 57.2% 88.4% 69 13 23 33 688 3929 31 75 49.3% 0.197 50 4 24 MOT16-13 26.0% 46.5% 18.0% 27.9% 71.8% 107 6 42 59 1251 8260 140 374 15.7% 0.328 143 26 44 OVERALL 35.1% 55.2% 25.7% 39.5% 84.8% 517 76 228 213 7790 66789 636 1744 31.9% 0.253 703 101 227 copy from question186,my data is like this.

Kaiwen6 avatar Jun 22 '21 01:06 Kaiwen6

@oomq IDF1 IDP IDR Rcll Prcn GT MT PT ML FP FN IDs FM MOTA MOTP IDt IDa IDm MOT16-02 25.6% 56.1% 16.6% 25.5% 86.2% 54 5 19 30 727 13281 60 183 21.1% 0.261 65 10 17 MOT16-04 40.2% 64.8% 29.1% 38.9% 86.4% 83 7 42 34 2902 29059 130 555 32.5% 0.249 108 27 18 MOT16-05 39.7% 50.2% 32.8% 55.2% 84.5% 125 30 64 31 692 3053 64 148 44.1% 0.263 137 7 84 MOT16-09 40.0% 50.7% 33.0% 59.6% 91.7% 25 7 15 3 285 2122 59 92 53.1% 0.232 60 4 11 MOT16-10 29.5% 42.8% 22.5% 42.5% 80.8% 54 8 23 23 1245 7085 152 317 31.1% 0.274 140 23 29 MOT16-11 36.4% 46.4% 30.0% 57.2% 88.4% 69 13 23 33 688 3929 31 75 49.3% 0.197 50 4 24 MOT16-13 26.0% 46.5% 18.0% 27.9% 71.8% 107 6 42 59 1251 8260 140 374 15.7% 0.328 143 26 44 OVERALL 35.1% 55.2% 25.7% 39.5% 84.8% 517 76 228 213 7790 66789 636 1744 31.9% 0.253 703 101 227 copy from question186,my data is like this.

You can find the answer in https://github.com/cheind/py-motmetrics because the eval.py line 11 import import motmetrics as mm.

oomq avatar Jun 25 '21 04:06 oomq

you can look at my blog：https://blog.csdn.net/dbdxwyl/article/details/118308750

wyl2077 avatar Jun 28 '21 10:06 wyl2077

I left a comment,thank you.

Kaiwen6 avatar Jun 28 '21 10:06 Kaiwen6