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Add in_chans parameter to DetrConfig and corresponding models
Motivation
I find myself wanting to test DETR on data that have only one channel (it can be grey scale images or spectrograms in my case). But to make it work I have to use hacks, that may eventually work purely.
Your contribution
I will be happy to open PR with this if this is as useful as I see it. Maybe some other improvements that can be incorporated?
UPADTE: I think this will involve also adding parameters to disable replace_batch_norm and very specific part of setting parameter.requires_grad_(False) to all parameters in resnet except layer2-4
The text was updated successfully, but these errors were encountered:
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🚀 Feature request
Add
in_chans
parameter toDetrConfig
and corresponding modelsMotivation
I find myself wanting to test DETR on data that have only one channel (it can be grey scale images or spectrograms in my case). But to make it work I have to use hacks, that may eventually work purely.
Your contribution
I will be happy to open PR with this if this is as useful as I see it. Maybe some other improvements that can be incorporated?
UPADTE: I think this will involve also adding parameters to disable
replace_batch_norm
and very specific part of settingparameter.requires_grad_(False)
to all parameters in resnet except layer2-4The text was updated successfully, but these errors were encountered: