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I see in the code that, for DeepLab, you normalize the input image to the range [-1, 1] like this:
image = (image/255)*2 - 1
Could you please tell me how you came up with this? I did some experiments and this normalization indeed yields the best performance. I checked the official TensorFlow implementation but I couldn't find where they used this normalization.
Thank you in advance for your response!
The text was updated successfully, but these errors were encountered:
Hi @nyoki-mtl,
I would like to ask a quick question please.
I see in the code that, for DeepLab, you normalize the input image to the range
[-1, 1]
like this:image = (image/255)*2 - 1
Could you please tell me how you came up with this? I did some experiments and this normalization indeed yields the best performance. I checked the official TensorFlow implementation but I couldn't find where they used this normalization.
Thank you in advance for your response!
The text was updated successfully, but these errors were encountered: