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I just noticed that on black/white images the process fails.
Is there a reason why the model was trained on colored images?
Reason I'm asking is because you would use much less memory(and maybe computation time) on black/white images.
The text was updated successfully, but these errors were encountered:
Here are the versions I'm using:
tensorflow-gpu: 2.3.0
cmake: 3.12.0
CUDA: 10.1
Modified the code slightly with the help of "tf_upgrade_v2" and some other modifications(with "sed") to be able to use compat v1 mode of tensorflow 2.3.0.
Also changed some code of "lmbspecialops" (else i wasn't able to compile it ...)
I just noticed that on black/white images the process fails.
Is there a reason why the model was trained on colored images?
Reason I'm asking is because you would use much less memory(and maybe computation time) on black/white images.
The text was updated successfully, but these errors were encountered: