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aliyun / DCT-Mask

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instances dct mask head

maralzar opened this issue · comments

commented

I initial on my dataset but this is always true and the output of instances doesn't have GT.
for instances_per_image in instances:
if len(instances_per_image) == 0:
continue
#OUTPUT INSTANCES:
instances [Instances(num_instances=0, image_height=768, image_width=1151, fields=[proposal_boxes: Boxes(tensor([], device='cuda:0', size=(0, 4))), objectness_logits: tensor([], device='cuda:0'), gt_classes: tensor([], device='cuda:0', dtype=torch.int64), gt_boxes: Boxes(tensor([], device='cuda:0', size=(0, 4))), gt_masks: PolygonMasks(num_instances=0)]), Instances(num_instances=0, image_height=768, image_width=1159, fields=[proposal_boxes: Boxes(tensor([], device='cuda:0', size=(0, 4))), objectness_logits: tensor([], device='cuda:0'), gt_classes: tensor([], device='cuda:0', dtype=torch.int64), gt_boxes: Boxes(tensor([], device='cuda:0', size=(0, 4))), gt_masks: PolygonMasks(num_instances=0)])]