lyft / lyft/nuscenes-devkit

RuntimeError: Given groups=1, weight of size 32 6 3 3, expected input[8, 3, 336, 336] to have 6 channels, but got 3 channels instead

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Jupyter Notebook
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Forks
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Description

when i try to train using 6 channel i get this error : RuntimeError: Given groups=1, weight of size 32 6 3 3, expected input[8, 3, 336, 336] to have 6 channels, but got 3 channels instead

code is exactly same as this : https://github.com/lyft/nuscenes-devkit/blob/master/notebooks/Reference%20Model.ipynb

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First steps

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Research direction

Start with the Reference Model notebook linked in the issue and reproduce the training run that reports the channel mismatch. Trace the input preparation and model entry point to determine why the batch has three channels instead of six; done means six-channel training reaches the next stage without this RuntimeError.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, python, pytorch
Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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