lu-jian-dong

this code is ok[lib/layer_utils/proposal_target_layer.py] if fg_inds.size > 0 and bg_inds.size > 0: fg_rois_per_image = min(fg_rois_per_image, fg_inds.size) fg_inds = npr.choice(fg_inds, size=int(fg_rois_per_image), replace=False) bg_rois_per_image = rois_per_image - fg_rois_per_image to_replace = bg_inds.size <...

the dataset statistics show has 390,884 images, but the release data just is 191961 images

1、your benchmark is trained at released dataset ？2。i train detected model use released dataset with mask-rcnn，the mAP is 0.60, far from your benchmark，can you provide some advice?

thanks very much， used config yaml is mask_rcnn_r50_caffe_c4_1x.py, I just convert the released dataset to coco format ，trained at 8 GPU，total epochs is 12，img_scale is (1333,800)。your match_rcnn is realize by...

I also meet this error，but i can not fix. I also need help