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Reproduce the results using generator_weights_for_demo.npz #11

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ZZU-fjq opened this issue Apr 18, 2022 · 1 comment
Open

Reproduce the results using generator_weights_for_demo.npz #11

ZZU-fjq opened this issue Apr 18, 2022 · 1 comment

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@ZZU-fjq
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ZZU-fjq commented Apr 18, 2022

Hello,

I tried to reproduce the result of paper by test.py and generator_weights_for_demo.npz.

I export images from fivek dataset, my setting for both raw(default/Input with Daylight WhiteBalance minus 1.5) and expertC as follow:

QQ图片20220418181104

And I use generator_weights_for_demo.npz by adding serializers.load_npz(args.load_generator, gen) in test.py. Nothing else has changed.

I calculated PSNR and SSIM by retouched image and target image. However, there is a big gap between the calculated results and the paper results.

Could you let me know which part is wrong.

Thank you very much.

@satoshi-kosugi
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As raw images, we used images that were not retouched at all. To create the raw images we used, please create a new catalog in Lightroom, import the all .dng files, and export them as they are.

If you want to use default/Input with Daylight WhiteBalance minus 1.5 as raw images, please retrain our model.

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