Super-Resolution Performance Evaluation Code
The project covers common metrics for super-resolution performance evaluation.
The scripts will calculate the values of the following evaluation metrics:
'LPIPS'. Note that the
'SSIM' values are calculated by
ssim.m, the matlab code including the suggested downsampling process available in this link.
- Breakpoint continuation support : The program can continue from where it was last interrupted by using
- Parallel computing support : The Programs can be re-scaled to take advantage of multi-core performance by using python
- Both RGB and YCbCr color space support
- Python 3
- PyTorch >= 1.0
Instructions for use this code
Please ref BLIND IMAGE QUALITY TOOLBOX
The code is based on and BIQT.