Using my custom dataset in COCO format for instance segmentation training.
Changed CFG to

cfg.MODEL.TEST.TASK = "instance"
cfg.INPUT.TASK_PROB.SEMANTIC = 0
cfg.INPUT.TASK_PROB.INSTANCE = 1

Still getting an error UnboundLocalError: local variable 'pan_seg_gt' referenced before assignment

From #5 and reading docs I understand I have to somehow prepare my dataset for instance segmentation training.

1. Is it correct to say OneFormer expects COCO dataset in a panoptic format?
2. If 1) is true, how do I convert my custom instance segm. COCO dataset to a panoptic format?
3. I found a script from panopticapi to convert from instance to panoptic format, but judging from the description it will merge every instance annotation in an image to a single annotation, which would defy the purpose of training an instance segmentation model.
   Also getting a KeyError when using that script KeyError when using detection2panoptic_coco_format cocodataset/panopticapi#58
4. How do I prepare a detection COCO dataset to train for instance segmentation with OneFormer? Thanks.