tinyvision
Image normalization strategy
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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?
Additional
No response
Hoping to bring this thread to the authors' attention, I would also like to add that the input values are [0..255] and not float values [0..1.], meaning there is also no normalization of the raw pixel values.
