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The AP of holothurian is too low

Open 1184125805 opened this issue 2 years ago • 6 comments

image I download your dataset,then change nothing in the code.But when it come to 82 epoch, the AP of holothurian is still have something wrong

1184125805 avatar Oct 28 '22 11:10 1184125805

I always train 300 epochs. Maybe it is because it has not converged. You can check the mAP curve on tensorboard, and find the best performance.

mousecpn avatar Oct 28 '22 14:10 mousecpn

image The program killed twice when I came to 84 epochs, do you have any idea about that? QAQ

1184125805 avatar Oct 29 '22 01:10 1184125805

image The program killed twice when I came to 84 epochs, do you have any idea about that? QAQ

sometimes I would happen like this, and I don't know the reason. But you can continue training by resuming from this checkpoint.

mousecpn avatar Oct 29 '22 02:10 mousecpn

image I set the setting all the same with yours, but there is only 46 mAP on ori,it is much less than mAP=56 in your paper. Is that normal?Or there is something wrong with it?

1184125805 avatar Nov 02 '22 02:11 1184125805

image I set the setting all the same with yours, but there is only 46 mAP on ori,it is much less than mAP=56 in your paper. Is that normal?Or there is something wrong with it?

It is not normal, but I do not know the problem. Maybe it is the problem of the environment. Check whether your pytorch version is the same as mine.

mousecpn avatar Nov 05 '22 12:11 mousecpn

@1184125805 : I also had the same issue of the process getting killed in between. I later realise that the sudden stopping of process is no more if I remove nms part. I have replaced it with torchvision's nms and it started working fine. But takes longer time.

karthikiitm87 avatar Nov 10 '22 19:11 karthikiitm87