Open StoicGilgamesh opened 4 years ago
Thank you for this great repository! I am trying to reproduce the panoptic segmentation results using the pre-trained weights. I am using the following command:
python upsnet/upsnet_end2end_test.py --cfg upsnet/experiments/upsnet_resnet50_coco_16gpu.yaml --weight_path model/upsnet_resnet_50_coco_90000.pth
Which generates: output['scores'], output['boxes'],output[ 'masks'], output['ssegs'], output['panos'],output[ 'cls_inds'],output[ 'pano_cls_inds']
But, when I checked with output['panos'], it does not generates segmentation results, but just normal semantic segmentation.
Could you please help? How can panoptoic segmentation results can be obtained?
Thank you for this great repository! I am trying to reproduce the panoptic segmentation results using the pre-trained weights. I am using the following command:
python upsnet/upsnet_end2end_test.py --cfg upsnet/experiments/upsnet_resnet50_coco_16gpu.yaml --weight_path model/upsnet_resnet_50_coco_90000.pth
Which generates: output['scores'], output['boxes'],output[ 'masks'], output['ssegs'], output['panos'],output[ 'cls_inds'],output[ 'pano_cls_inds']
But, when I checked with output['panos'], it does not generates segmentation results, but just normal semantic segmentation.
Could you please help? How can panoptoic segmentation results can be obtained?