Image normalization strategy

[VitalyyBezuglyj]

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Question

Good afternoon!
Thanks for your work, awesome model and working, readable code!

I have a question about the image normalisation strategy during training, in the configuration files and in all augmentation functions the values mean=(0,0,0,0) and std=(1, 1, 1)-that is, normalisation is not performed.

It seems as if normalising the input data is a common practice to improve the quality of the model.

Is there any reason why you don't normalise the input data?

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