Closed AdarshMJ closed 6 years ago
Yep, the function psnr_error
in Code/utils.py
just computes regular Peak Signal to Noise Ratio. Sorry for the confusing wording!
Thank you for clarifying this. I wanted to know whether its possible to calculate the AUC for the classifier?
As of right now I don't have code in this project to compute the AUC. But if it's something you want, feel free to implement it and submit a PR!
I know PSNR is Peak signal to Noise Ratio and higher PSNR value implies better the image generated. Is PSNR error and PSNR same? Or am I missing something?