I managed to do training on my own datasets, after 12w iterations I went for a test by using commands similar to
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
But detection results from some images turn out to be nothing while the others seem normal.
I have my own loader inherited from imdb and it works well on faster-rcnn from this repository:
I managed to do training on my own datasets, after 12w iterations I went for a test by using commands similar to
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
But detection results from some images turn out to be nothing while the others seem normal. I have my own loader inherited from imdb and it works well on faster-rcnn from this repository:
I'm totally confused, any suggestions will be appreciated, thanks.