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when I run train.py,I get an error where the program breaks at 150 iterations or 300 iterations with an error that it can't find loss_cla. Then I use tools/analysis_tools/browse_dataset.py and it also reports the error: warnings.warn(f'Failed to add {vis_backend.class}, ').
[0/6305, elapsed: 0s, ETA: Traceback (most recent call last):
File “tools/analysis_tools/browse_dataset.py”, line 89, in
main()
File “tools/analysis_tools/browse_dataset.py”, line 57, in main
img = item['inputs'].permute(1, 2, 0).numpy()
AttributeError: 'dict' object does not have 'permute' attribute
Where does the unlabeled2017 data of semi-supervised data set come from? Is it independent of the train data
At the beginning coco’s dataset:
mmdetection
├── data
│ ├── coco
│ │ ├── annotations
│ │ │ ├── image_info_unlabeled2017.json
│ │ │ ├── instances_train2017.json
│ │ │ ├── instances_val2017.json
│ │ ├── test2017
│ │ ├── train2017
│ │ ├── unlabeled2017
│ │ ├── val2017
After processing the semi-supervised json:
mmdetection
├── data
│ ├── coco
│ │ ├── annotations
│ │ │ ├── image_info_unlabeled2017.json
│ │ │ ├── instances_train2017.json
│ │ │ ├── instances_val2017.json
│ │ ├── semi_anns
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ │ ├── [email protected]
│ │ ├── test2017
│ │ ├── train2017
│ │ ├── unlabeled2017
│ │ ├── val2017
The data set used at the end:
mmdetection
├── data
│ ├── coco
│ │ ├── annotations
│ │ │ ├── image_info_unlabeled2017.json
│ │ │ ├── instances_train2017.json
│ │ │ ├── instances_unlabeled2017.json
│ │ │ ├── instances_val2017.json
│ │ ├── test2017
│ │ ├── train2017
│ │ ├── unlabeled2017
│ │ ├── val2017
among unlabeled2017,image_info_unlabeled2017.json,instances_unlabeled2017.json,how these file make? And why the semi_anns file disappear?
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