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FPN

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56 forks
25 issues

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5473ce069e8a469e837ad65b95411eac599c92ba

update

xxmyqsh committed 7 years ago
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3af14db745a060af68744be1a64c91de2e50a42e

update

xxmyqsh committed 7 years ago
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c344bb63ed121c400b9dde1c765db4a79141eabf

update

xxmyqsh committed 7 years ago
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313a70bc4e844b2d346aaeb2aea4b8f0d58605c8

update config

xxmyqsh committed 7 years ago
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8bbd16e873ee54a31397001e99faf9aa873ab202

update some setting

xxmyqsh committed 7 years ago
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37bf7dcb0c841a1a97942bd4be2d90004dd58d8a

modify param init method

xxmyqsh committed 7 years ago

README

The README file for this repository.

FPN

end2end testing: mAP(0.7832) without bells and whistles, without OHEM

CUDA_VISIBLE_DEVICES=0 python ./faster_rcnn/test_net.py --gpu 0 --weights output/FPN_end2end/voc_0712_trainval/FPN_iter_370000.ckpt --imdb voc_0712_test --cfg ./experiments/cfgs/FPN_end2end.yml --network FPN_test

alt_opt training:

nohup ./experiments/scripts/FPN_alt_opt.sh 0 FPN_alt_opt pascal_voc0712 --set RNG_SEED 42 TRAIN.SCALES "[800]" > FPN_alt_opt.log 2>&1 &

end2end training:

nohup ./experiments/scripts/FPN_end2end.sh 1 FPN pascal_voc0712 --set RNG_SEED 42 TRAIN.SCALES "[800]" > FPN.log 2>&1 &

tail -f FPN.log

TODO:

  1. imporve end2end training result
  2. check roi_pooling used interpolation or not
  3. fix bugs in alt_opt training