GT to train ISP.

[bsun0802]

Hi Author,

Great work. Could you please answer me two questions?

1. What is the ground truth data you used to train the ISP from SID data.

In your code train_isp.py, I found gt_paths = glob.glob('./data/ISP_data/SID/Sony/long_isped_png/*.png'), but where do those long_isped_png come from? I did not find png data from SID dataset.

2. In train_predenoising.py, there is a function named bayer_preserving_augmentation, but I can not find it's definition, could you please check it ?

Thanks!!

[cao-cong]

Hi,
1.The data 'long_isped_png' are the same as gt in SID dataset.
2.You can find the function 'bayer_preserving_augmentation' in 'utils.py'.