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le "/opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/kaggle/working/mmdetection/mmdet/datasets/custom.py", line 194, in getitem
data = self.prepare_train_img(idx)
File "/kaggle/working/mmdetection/mmdet/datasets/custom.py", line 217, in prepare_train_img
return self.pipeline(results)
File "/kaggle/working/mmdetection/mmdet/datasets/pipelines/compose.py", line 40, in call
data = t(data)
File "/kaggle/working/mmdetection/mmdet/datasets/pipelines/formating.py", line 318, in call
data[key] = results[key]
KeyError: 'gt_semantic_seg'
The text was updated successfully, but these errors were encountered:
le "/opt/conda/lib/python3.7/site-packages/torch/utils/data/_utils/fetch.py", line 44, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/kaggle/working/mmdetection/mmdet/datasets/custom.py", line 194, in getitem
data = self.prepare_train_img(idx)
File "/kaggle/working/mmdetection/mmdet/datasets/custom.py", line 217, in prepare_train_img
return self.pipeline(results)
File "/kaggle/working/mmdetection/mmdet/datasets/pipelines/compose.py", line 40, in call
data = t(data)
File "/kaggle/working/mmdetection/mmdet/datasets/pipelines/formating.py", line 318, in call
data[key] = results[key]
KeyError: 'gt_semantic_seg'
The text was updated successfully, but these errors were encountered: