Questions about DDG_train_Pretrain_Complex_dataset.py

[AlphaNext]

Thanks for your work and released code. There are some questions about DDG_train_Pretrain_Complex_dataset.py file.

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https://github.com/lyh-18/DegAE_DegradationAutoencoder/blob/0e9611301aafb9d17752acac05f56db76a9f8ff0/codes/data/DDG_train_Pretrain_Complex_dataset.py#L100-L114

https://github.com/lyh-18/DegAE_DegradationAutoencoder/blob/0e9611301aafb9d17752acac05f56db76a9f8ff0/codes/data/DDG_train_Pretrain_Complex_dataset.py#L123-L137

• img_LQ_list and img_HQ_list will be same output, is this right ??

• and where to use input_noise_flag and input_blur_flag ?

input_noise_flag = False
input_blur_flag = False

[lyh-18]

Thank you for your interests and attention.

To achieve degrdation transfer, we need these images: an input image 1 with deg type A, a reference image 2 with deg type B, a corresponding GT image with content 1 and deg type B. In the code implementation, the original clean images (img_HQ1 and img_HQ2) are first transferred to img_LQ1 (as target LQ, the corresponding GT image with content 1 and deg type B) and img_LQ2 (as reference). Then, we add another degradtion type to img_HQ1 to get the input (img_HQ1).

input_noise_flag and input_blur_flag are not supposed to be used in the training process. They are prepared for the degradation transfer test, which is not included in the currrent codes.