during training model above i faced a confusing situation,while acc,bbox_map_50increased and loss_bbox,loss_cls,loss_mask,loss_rpn_bbox,loss_rpn_cls,loss all decreased, segm_map_50 remains almost zero the whole time(almost never shows anything but zero in evaluation table in train and test!)
also using inference_detector,it only shows bboxes properly with few stains at the right place but not the whole object!(not even for all instances)
what do u think is the problem?!is there anything that i should to add to dataset rather than segmentation(polygon) field?!is there anything that i should set in order to get beter (ins segmentation) in reference time?!
thank u in advance!
hi,consider mask_rcnn with config below and using a custom dataset prepared in coco style(json) files on colab env:
during training model above i faced a confusing situation,while acc,bbox_map_50 increased and loss_bbox,loss_cls,loss_mask,loss_rpn_bbox,loss_rpn_cls,loss all decreased, segm_map_50 remains almost zero the whole time(almost never shows anything but zero in evaluation table in train and test!) also using inference_detector,it only shows bboxes properly with few stains at the right place but not the whole object!(not even for all instances) what do u think is the problem?!is there anything that i should to add to dataset rather than segmentation(polygon) field?!is there anything that i should set in order to get beter (ins segmentation) in reference time?! thank u in advance!