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Using trained model for custom sized images #38

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malalejandra opened this issue Oct 26, 2019 · 1 comment
Open

Using trained model for custom sized images #38

malalejandra opened this issue Oct 26, 2019 · 1 comment

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@malalejandra
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Hi @alexlee-gk. Thank you for your wonderful code, was quite an interesting journey to dig into it!

I trained models for my own dataset of 64x64 images and wondering if it's possible to use the model to sample 512x512 images? If yes, what changes I should make so that the model become scalable?

Thank you!

@blackPython
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To run for 512x512 image you have to change the enocder and decoder.. Not the architecture but the number layers or step size to account for more number of pixels.

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