Thank you very much for your paper and open source code! I am currently using the model for super-resolution reconstruction on my own dataset, and the image reconstruction effect is good. However, because I am using: python inference.py --input_dir [input_dir ] --output_dir [input_dir ] --model_path[model_path] Running in this format, I am unable to print out some of the evaluation metrics parameters I need from the code, such as PSNR, SSIM, etc. Is there any way to achieve this?
Thank you very much for your paper and open source code! I am currently using the model for super-resolution reconstruction on my own dataset, and the image reconstruction effect is good. However, because I am using: python inference.py --input_dir [input_dir ] --output_dir [input_dir ] --model_path[model_path] Running in this format, I am unable to print out some of the evaluation metrics parameters I need from the code, such as PSNR, SSIM, etc. Is there any way to achieve this?