Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
Given groups=1, weight of size [168, 337, 1, 1], expected input[1, 336, 2, 2] to have 337 channels, but got 336 channels instead
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Description
I use translation software.
When I train on custom data, I am able to
RuntimeError: Given groups=1, weight of size [168, 337, 1, 1], expected input[1, 336, 2, 2] to have 337 channels, but got 336 channels instead
I get the above error.
ERROR | yolox.core.launch:98 - An error has been caught in function 'launch', process 'MainProcess' (6715), thread 'MainThread' (139703782486016):.
I get the above error.
The training has already succeeded for other custom data.
How can these errors be resolved?
Translated with DeepL.com (free version)
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
Start at the reported yolox.core.launch:98 entry point and inspect the custom-data training configuration that produces the channel mismatch. Compare the model's expected 337 channels with the input's 336 channels, then verify the training run succeeds without this RuntimeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100