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Why did I get 37.5 AP with "reppoints_minmax_r50_fpn_1x.py" on coco dataset?

See original GitHub issue

Thanks for sharing your work! I used the following command to train the model on coco dataset.

./mmdetection/tools/dist_train.sh ./configs/reppoints_minmax_r50_fpn_1x.py 8 --validate

I have tried using 4 gpus and 8 gpus for model training, but all the results are about 37.5 AP. I wonder what I got wrong or missed? Thanks very much!

Issue Analytics

  • State:open
  • Created 4 years ago
  • Comments:5 (2 by maintainers)

github_iconTop GitHub Comments

1reaction
yangze0930commented, Sep 13, 2019

Hi, have you decreased the learning rate to 0.005 when you tried using 4 gpus?

0reactions
yangli18commented, Sep 19, 2019

@yangze0930 I see. Thanks for explaining!

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