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KeyError: 'segmentation'

See original GitHub issue

For cascade_rcnn_r50_fpn_1x.py and custom dataset for detection only I’ve got

File "/learning/other/mmdetection/mmdet/datasets/coco.py", line 87, in _parse_ann_info
gt_masks_ann.append(ann['segmentation'])
KeyError: 'segmentation'

And after changing train_pipeline options: dict(type='LoadAnnotations', with_bbox=True, with_mask=False),

This error still exist. I assume for COCO it works, because COCO has masks. But for detection dataset it doesn’t work.

Issue Analytics

State:
Created 4 years ago
Comments:5

Top GitHub Comments

1reaction

vadik6666commented, Aug 29, 2019

Solved after changing my annotation file which looked like for some bbox:

{'area': 702.1057499999998,
 'iscrowd': 0,
 'image_id': 289343,
 'bbox': [473.07, 395.93, 38.65, 28.67],
 'category_id': 18,
 'id': 1768}

and added new key-value like 'segmentation': []

0reactions

naveenggmucommented, May 21, 2020

@Aavesh is there a way to train models like retinaNet without providing masks? Also can you please tell where to find “config.py” that you have mentioned above. @David-19940718 @CMobley7

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