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For these metrics, the image range play a quite important role. For example, if you set the image range as [0, 255], the MSE error would be $255^2 = 65025$ times larger than image range [0, 1].
My question is whether the metrics in the paper are reported with the image range [0, 1] or [0, 255].
Thanks.
The text was updated successfully, but these errors were encountered:
Hi~
Thanks for your nice work.
I have run your training code of auto-encoder.
I checked the code relating metrics, and I found that the metrics are calculated with the image range as [0, 1] (See: https://github.com/phizaz/diffae/blob/master/metrics.py#L121-L122).
For these metrics, the image range play a quite important role. For example, if you set the image range as [0, 255], the MSE error would be$255^2 = 65025$ times larger than image range [0, 1].
Thanks.
The text was updated successfully, but these errors were encountered: