Function psnr

utils/image_utils.py:17–19

(img1, img2)

    return (((img1 - img2)) ** 2).view(img1.shape[0], -1).mean(1, keepdim=True)

def psnr(img1, img2):
    mse = (((img1 - img2)) ** 2).view(img1.shape[0], -1).mean(1, keepdim=True)
    return 20 * torch.log10(1.0 / torch.sqrt(mse))

def easy_cmap(x: torch.Tensor):
    x_rgb = torch.zeros((3, x.shape[0], x.shape[1]), dtype=torch.float32, device=x.device)