I am getting following inference output after training for 20k iterations for panoptic deeplab in detectron 2 framework .
The value of PQ and SQ is coming more than 100.
[07/11 05:52:50 d2.evaluation.panoptic_evaluation]: Panoptic Evaluation Results:
I registered my custom dataset in train_net.py file using
register_coco_panoptic(data_name, metadata, image_root, panoptic_root, panoptic_json, instances_json)
I have arranged things (42 classes) and stuff (38 classes) with proper ids.
@bowenc0221 ,can this sort of discrepencies arise due to wrong registration of data or something else?
I am getting following inference output after training for 20k iterations for panoptic deeplab in detectron 2 framework .
The value of PQ and SQ is coming more than 100.
[07/11 05:52:50 d2.evaluation.panoptic_evaluation]: Panoptic Evaluation Results:
I registered my custom dataset in train_net.py file using
register_coco_panoptic(data_name, metadata, image_root, panoptic_root, panoptic_json, instances_json)
I have arranged things (42 classes) and stuff (38 classes) with proper ids.
@bowenc0221 ,can this sort of discrepencies arise due to wrong registration of data or something else?