hi, guys~ I’m training my own dataset with mrcnn. But when I tested my model, I found some bboxes overlapped with each other like the picture below. I’m really confused about the principle here, shouldn’t the nms have suppressed these boxes after rpn before classification?  Thanks a lot for any help!