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How to get kernel for the real image dataset? #14
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I have the same problem, and I can't use my own image to generate hyperresolution images, and I guarantee that gt is twice as much input as input. And I made the following mistakes when I was training. Model Params: 225 K **=================== Fail to find a Checkpoint ======================================== No model to load ======================================** Process finished with exit code -1073741819 (0xC0000005) |
Hi, you can try |
I guess there is something wrong in the |
We have used kernel estimation algorithm based on Also, after we submit the paper, we have tried the recent algorithm KernelGAN, |
Dear Sir, |
Please @omidbazgirTTU I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint |
Please @liqilei I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint |
Please @JWSoh I'm facing a problem when i load the pretrained model , specially when it reads the checkpoint NotFoundError (see above for traceback): Key MODEL/conv7/kernel/Adam_3 not found in checkpoint |
Thanks for the nice work, and very well documentation.
I have some real low-resolution images without any ground-truth. I wanted to test your state-of-the-art MZSR model on that. I noticed that for testing as mention in the readme file I need "Ready for the input data (low-resolution) and corresponding kernel (kernel.mat file.)". I couldn't find any information neither in the paper nor in the repo regarding how to get the Kernel file. Could you please let me know what is the code for that? Did you use any other paper to compute the kernel? Thank you.
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