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When I run train.py:
Epoch: [1][3480/3500] Time 3268.846s (1639.564s) Speed 0.0 samples/s Data 3268.648s (1639.355s) Loss 0.32530 (0.28520) 0%| | 0/500 [00:00<?, ?it/s]C:\Users\Pacz\anaconda3\Lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:3484.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] 9 0.01 2 0.01 2 0.01 8 0.01 8 0.01 4 0.01 3 0.01 2 0.01 5 0.01 5 0.01 1 0.01 8 0.01 8 0.01 8 0.01 1 0.01 3 0.01 9 0.01 8 0.01 9 0.01 3 0.01 4 0.01 6 0.01 5 0.01 4 0.01 8 0.01 1 0.01 0 0.01 1 0.01 2 0.01 3 0.01 4 0.01 8 0.01 5 0.01 5 0.01 3 0.01 5 0.01 7 0.01 7 0.01 8 0.01 9 0.01 8 0.01 1 0.01 6 0.01 1 0.01 2 0.01 2 0.01 4 0.01 7 0.01 5 0.01 9 0.01 3 0.01 5 0.01 8 0.01 4 0.01 3 0.01 6 0.01 1 0.01 8 0.01 9 0.01 0 0.01 8 0.01 7 0.01 4 0.01 2 0.01 8 0.01 3 0.01 9 0.01 1 0.01 2 0.01 4 0.01 9 0.01 7 0.01 2 0.01 8 0.01 4 0.01 9 0.01 1 0.01 5 0.01 6 0.01 3 0.01 1 0.01 3 0.01 8 0.01 1 0.01 7 0.01 0 0.01 3 0.01 1 0.01 6 0.01 2 0.01 7 0.01 1 0.01 3 0.01 5 0.01 4 0.01 4 0.01 5 0.01 9 0.01 1 0.01 1 0.01 0 0.01 2 0.01 9 0.01 4 0.01 5 0.01 8 0.01 3 0.01 7 0.01 6 0.01 7 0.01 4 0.01 8 0.01 5 0.01 3 0.01 1 0.01 3 0.01 4 0.01 1 0.01 1 0.01 4 0.01 8 0.01 1 0.01 2 0.01 1 0.01 4 0.01 8 0.01 8 0.01 9 0.01 9 0.01 8 0.02 8 0.02 1 0.02 2 0.02 9 0.02 0 0.02 1 0.02 0 0.02 9 0.02 8 0.02 9 0.02 6 0.02 7 0.02 8 0.02 5 0.02 2 0.02 2 0.02 0 0.02 8 0.02 3 0.02 0 0.02 5 0.02 1 0.02 7 0.02 4 0.02 7 0.02 8 0.02 5 0.02 3 0.02 1 0.02 9 0.02 5 0.02 2 0.02 2 0.02 9 0.02 9 0.02 7 0.02 6 0.02 8 0.02 3 0.02 8 0.02 8 0.02 9 0.02 3 0.02 4 0.02 3 0.02 9 0.02 5 0.02 8 0.02 5 0.02 0 0.02 3 0.02 6 0.02 1 0.02 1 0.02 2 0.02 7 0.02 0 0.02 9 0.02 8 0.02 5 0.02 9 0.02 1 0.02 8 0.02 8 0.02 2 0.02 4 0.02 3 0.02 3 0.02 0 0.02 8 0.02 6 0.02 7 0.02 2 0.02 4 0.02 1 0.02 9 0.02 9 0.02 9 0.02 6 0.02 5 0.02 1 0.02 0 0.02 6 0.02 4 0.02 4 0.02 1 0.02 2 0.02 8 0.02 2 0.02 6 0.02 4 0.02 4 0.02 9 0.02 1 0.02 1 0.02 0 0.02 6 0.02 2 0.02 1 0.02 5 0.02 4 0.02 7 0.02 1 0.02 6 0.02 7 0.02 9 0.02 2 0.02 3 0.02 4 0.02 1 0.02 0 0.02 7 0.02 1 0.02 7 0.02 5 0.02 3 0.02 2 0.03 3 0.03 0 0.03 1 0.03 9 0.03 6 0.03 1 0.03 1 0.03 5 0.03 3 0.03 7 0.03 4 0.03 2 0.03 9 0.03 6 0.03 2 0.03 0 0.03 9 0.03 9 0.03 9 0.03 5 0.03 1 0.03 8 0.03 7 0.03 6 0.03 8 0.03 0 0.03 7 0.03 7 0.03 9 0.03 1 0.03 3 0.03 8 0.03 9 0.03 3 0.03 0 0.03 2 0.03 3 0.03 2 0.04 2 0.04 7 0.04 9 0.04 3 0.04 2 0.04 2 0.04 5 0.04 7 0.04 5 0.04 9 0.04 0 0.04 3 0.04 3 0.05 3 0.05 1 0.06 0%| | 0/500 [00:02<?, ?it/s] Traceback (most recent call last): File "C:\YOLOP\tools\train.py", line 395, in main() File "C:\YOLOP\tools\train.py", line 330, in main da_segment_results,ll_segment_results,detect_results, total_loss,maps, times = validate( ^^^^^^^^^ File "C:\YOLOP\lib\core\function.py", line 313, in validate label_det_gt = f'{names[int(cls)]}' ~~~~~^^^^^^^^^^ KeyError: 11
The text was updated successfully, but these errors were encountered:
Hi you, you can teach me how to label data
Sorry, something went wrong.
I used BDD100k data is already labeled
Hello, has your problem been solved? I'm also having the same issue。
No branches or pull requests
When I run train.py:
Epoch: [1][3480/3500] Time 3268.846s (1639.564s) Speed 0.0 samples/s Data 3268.648s (1639.355s) Loss 0.32530 (0.28520)
0%| | 0/500 [00:00<?, ?it/s]C:\Users\Pacz\anaconda3\Lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:3484.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
9 0.01
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0%| | 0/500 [00:02<?, ?it/s]
Traceback (most recent call last):
File "C:\YOLOP\tools\train.py", line 395, in
main()
File "C:\YOLOP\tools\train.py", line 330, in main
da_segment_results,ll_segment_results,detect_results, total_loss,maps, times = validate(
^^^^^^^^^
File "C:\YOLOP\lib\core\function.py", line 313, in validate
label_det_gt = f'{names[int(cls)]}'
~~~~~^^^^^^^^^^
KeyError: 11
The text was updated successfully, but these errors were encountered: