Unable to reproduce performance, PQ=0

[zhaoyangwei123]

Hello author, I attempted to replicate the performance of fcclip-r50 on the Coco dataset using the checkpoint you provided, but did not achieve satisfactory results. The performance of panoramic segmentation and semantic segmentation on the Coco dataset was always 0, but the results of instance segmentation can be replicated. What is the reason for this?
[06/03 13:07:59 d2.evaluation.panoptic_evaluation]: Panoptic Evaluation Results:

	PQ	SQ	RQ	#categories
All	0.000	0.000	0.000	133
Things	0.000	0.000	0.000	80
Stuff	0.000	0.000	0.000	53

[06/03 13:08:30 d2.evaluation.testing]: copypaste: AP,AP50,AP75,APs,APm,APl
[06/03 13:08:30 d2.evaluation.testing]: copypaste: 40.6584,63.1976,43.7951,21.7050,44.9967,60.3094

[06/03 13:08:30 d2.evaluation.testing]: copypaste: Task: sem_seg
[06/03 13:08:30 d2.evaluation.testing]: copypaste: mIoU,fwIoU,mACC,pACC
[06/03 13:08:30 d2.evaluation.testing]: copypaste: 0.4226,1.6011,1.2336,2.6937

At the same time, I found that when I run Python datasets/prepare_coco_semantic-annos-from_panoptic-annos.py to extract semantic annotations from panoptic annotations, I get panoptic_semseg_ {train,val}2017 All of them are as follows, is this because there is an issue with the annotations?