Metrics are zero during evaluation

[sahityabonumaddi]

Thanks for your excellent work. I have used pretrained weights of swin backbone and evaluated the model of ADE20k and got he following results.
03/25 23:29:06 d2.evaluation.panoptic_evaluation]: Panoptic Evaluation Results:

	PQ	SQ	RQ	#categories
All	0.000	0.000	0.000	150
Things	0.000	0.000	0.000	100
Stuff	0.000	0.000	0.000	50

[03/25 23:46:54 d2.evaluation.testing]: copypaste: Task: sem_seg
[03/25 23:46:54 d2.evaluation.testing]: copypaste: mIoU,fwIoU,mACC,pACC
[03/25 23:46:54 d2.evaluation.testing]: copypaste: 0.0029,0.0005,0.2547,0.0320
[03/25 23:46:54 d2.evaluation.testing]: copypaste: Task: panoptic_seg
[03/25 23:46:54 d2.evaluation.testing]: copypaste: PQ,SQ,RQ,PQ_th,SQ_th,RQ_th,PQ_st,SQ_st,RQ_st
[03/25 23:46:54 d2.evaluation.testing]: copypaste: 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
[03/25 23:46:54 d2.evaluation.testing]: copypaste: Task: bbox
[03/25 23:46:54 d2.evaluation.testing]: copypaste: AP,AP50,AP75,APs,APm,APl
[03/25 23:46:54 d2.evaluation.testing]: copypaste: 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
[03/25 23:46:54 d2.evaluation.testing]: copypaste: Task: segm
[03/25 23:46:54 d2.evaluation.testing]: copypaste: AP,AP50,AP75,APs,APm,APl
[03/25 23:46:54 d2.evaluation.testing]: copypaste: 0.0000,0.0000,0.0000,0.0000,0.0000,0.0000

Anyhelp would be appreciated. Thanks in advance !

[praeclarumjj3]

Hi @sahityabonumaddi, you evaluated OneFormer after only loading the pretrained (on classification) backbone weights. You need to load the checkpoint jointly trained for the segmentation task. The checkpoints are given here.