Why does EDSR enlarge the image twice and only low pixel images work well?
liujie316316 opened this issue · 3 comments
I use batchsize=1 to train the model, but only dozens of K images can produce results when reasoning. For example, 2M images will show insufficient memory. Why is this?
Have you ever run a demo to test if the program will work in your computer environment? Or is it due to lack of memory on your graphics card?
Have you ever run a demo to test if the program will work in your computer environment? Or is it due to lack of memory on your graphics card?
First of all, my graphics card is 32G. It is possible to use EDSR to double the magnification of low pixels, but for example, the 1404 * 1692 image cannot be doubled. Then I cut the image into four pieces, and it is feasible to double each image. However, if you want to achieve the function of quadrupling magnification, you need to split the double image into four parts, and then enlarge each part twice to achieve quadrupling magnification. This will display the super display memory. How can I enlarge the image by four times? Is it cut into smaller pieces? Like 16 bucks?
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