Missing Key Code/Files for Training & Validation on Vimeo-90K and REDS Datasets

[Walnutes]

Hi,

Thank you for sharing your excellent work! I encountered a few issues while trying to train on the Vimeo-90K and REDS datasets:

1. Vimeo-90K Dataset Process and Training Code/Scripts:
   The dataset directory only contains reds_dataset.py, and train.py seems to import this class exclusively. Could you kindly provide the complete data loading code for Vimeo-90K, as well as any relevant configuration files like config_vimeo.yaml and metadata.txt?
2. Validation Output for REDS Dataset:
   While validation_steps is defined, I couldn’t locate the corresponding log, output images (e.g., super-resolved images), or evaluation metrics mentioned in your paper. Could you clarify this part?
3. Training Parameters and Key Files:
   In the train.sh script, VALIDATION_IMAGE points to the train/gt directory. Should this be corrected to train/lq? Also, the required metadata.txt file for this appears to be missing. I attempted to create it based on REDS_train_metadata.txt and the training settings mentioned in your paper as follows: 000 100\n 011 100\n 015 100\n 020 100 Could you confirm if this matches your setup? If not, could you kindly upload the correct file? Additionally, if Vimeo-90K also requires such these files/configs, could you provide it as well?

Thank you in advance for your support and for providing additional details. Your assistance would be invaluable in reproducing your results!