Why below "**post_nms_topn**" is set to 200?

xiaoxiongli commented 7 years ago

Dear All:

When i read models/pvanet/example_train_384_logo229/train.prototxt, i find that below "post_nms_topn" is set to 200, as i know, during training phase, the rpn network usually generate 2000 proposals per image, and in the inference phase, it will just generate about 200 or 300 proposals in order to save time.

So i feel confused that during training phase, Why below "post_nms_topn" is set to 200?

C++ implementation of the proposal layer

layer { name: 'proposal' type: 'Proposal' bottom: 'rpn_cls_prob_reshape' bottom: 'rpn_bbox_pred' bottom: 'im_info' top: 'rpn_rois' top: 'rpn_scores' proposal_param { ratio: 0.5 ratio: 0.667 ratio: 1.0 ratio: 1.5 ratio: 2.0 scale: 3 scale: 6 scale: 9 scale: 16 scale: 32 base_size: 16 feat_stride: 16 pre_nms_topn: 12000 post_nms_topn: 200 <--------------Why here post_nms_topn is 200 ? nms_thresh: 0.7 min_size: 16 } }

sanghoon commented 7 years ago

OMG! If it was set to be 200 even in the training step, it must be a bug in the prototxt.

sanghoon commented 7 years ago

This has been fixed in the new PVA prototxts

sanghoon / pva-faster-rcnn