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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
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!
Thanks for your error report and we appreciate it a lot.
Checklist
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
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.
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!