Image-Super-Resolution-via-Iterative-Refinement
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How can i transfer a low resolution image to better one? In other words, testing the pretrained model.
trafficstars
I read all code and files, I'm not sure whether using infer.py is able to get a ouput from a low resolution image.
Like, in srresnet, we can use my own image to get a output before training my own model.
Cause there's no argument for input image, I have'nt find a correct way to transfer test image in pretrained model.
I argue that like below:
sr.py👉 for training a new or custom model 👉 output:.pth(weights)、image(result)、checkpoint、log
evel.py 👉 to get PSNR and SSIM 👉 output:two number/value
infer.py 👉 not sure😲😲😲