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testing performance #19

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swestland opened this issue May 4, 2022 · 1 comment
Open

testing performance #19

swestland opened this issue May 4, 2022 · 1 comment

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@swestland
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swestland commented May 4, 2022

This is really helpful code and very good documentation on how to use it.

I just have one small question. I trained the network on some images (I used just 8 images as a test). Based on the visual performance during training the network was producing great outputs after 100 epochs. However when I then tested the trained network on the same images I used in training - exampleOutput = p2p.translate(p2pModel, exampleInput) - the output was not as good as I expected. The quality of the output images was similar to what the network had been producing after about 60 epochs during training.

Is there something I am missing here that resulted in this behaviour?
Steve

@justinpinkney
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Hmm, the only thing I can think which might be the difference is that there is an "ARange" options to p2p.translate which defaults to 255, but this might not be correct for your input data.

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