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dvlab-research / SNR-Aware-Low-Light-Enhance

This is the official implementation for the paper "SNR-aware low-light image enhancement" in CVPR2022
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about SID and SMID Dataset #9

Open KKKLeouee opened 2 years ago

KKKLeouee commented 2 years ago

hello

The files in both sid and smid datasets are in'. npy' format. How do you convert'. npy' files to '.jpg' format using Pyraw

thank you

xiaogang00 commented 2 years ago

This work explores the low-light image enhancement in the sRGB domain. Thus, we first use rawpy to convert the RAW images into sRGB images. And to speed up the data loading during the training and testing, we save the images into 'npy'.