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haochen-rye / HNeRV

Official Pytorch implementation for HNeRV: a hybrid video neural representation (CVPR 2023)

Home Page:https://haochen-rye.github.io/HNeRV/

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PSNR

tuanlda78202 opened this issue · comments

commented

Dear author @haochen-rye,

I would like to extend my sincere appreciation for the exceptional work you have accomplished. I am writing to seek clarification on the utilization of PSNR metrics within the model evaluation process. My understanding of this metric is that it is typically calculated using the formula 20 * torch.log10(255.0 / torch.sqrt(mse)). However, I noticed that in your code, the calculation for PSNR is represented as psnr = -10 * torch.log10(mse). Could you kindly provide an explanation for this discrepancy? Your insights would be greatly appreciated.

Thank you for your attention to this matter.

Yours sincerely,
Charles

Update: Because of the preprocessing step, the model has normalized the tensor to the range of 0 to 1, resulting in MAX=1. Therefore, the formula is simplified as above.