AP is significantly lower than other methods,please help me
huoyiyang opened this issue · comments
Thanks for your error report and we appreciate it a lot.
Checklist
- I have searched related issues but cannot get the expected help.
- The bug has not been fixed in the latest version.
Describe the bug
I use my dataset with coco dataet format, other method such as mask rcnn , gc net ,yolact implemented by mmdetection all work well. all on colab!
but when i use in solov2 1x r50 ,there are several question!
(1)the loss_ins can not decrease , so i try to change lr, the loss can down,but still stop at around 0.3
(2)the test AP is significantly lower than other methods,about 20%
(3)i try to change the hyperparameter grid ,i enlarge them ,it seems useless
Reproduction
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What command or script did you run?
!python tools/train.py configs/solov2/solov2_r50_fpn_8gpu_1x.py -
Did you make any modifications on the code or config? Did you understand what you have modified?
i change the lr ,with your origin lr, the loss_ins stay=3 -
What dataset did you use?
my dataset ssdd ,no problem
Environment
i change your modified code to torch 1.4,torchcheck to atcheck
Error traceback
If applicable, paste the error trackback here.
A placeholder for trackback.
Bug fix
If you have already identified the reason, you can provide the information here. If you are willing to create a PR to fix it, please also leave a comment here and that would be much appreciated!