ElliotQi
ElliotQi
> > > > Excuse me, can you tell me where to add the resblocks? Thanks you very much An easy way is to modify the number of model.unet.resblock in...
> Thank you for your reply! I will try this and get back to you :) How's it going? I'm trying grayscale images, too. But I got noisy images even...
@VladS-PCH Hi, thanks for the feedback. I'm also working on medical images. As for your problems, I think I can solve some of them. 'I still get _sr images that...
Thanks for the answer. I'm also using a private dataset. That's a correct output for xxx_inf without any problem. I assume you're dealing with MRI or CT data, which has...
Thanks! Wish you to get a good result!
> 你好，麻烦问一下这个问题怎么解决啊 > mxnet.base.MXNetError: [16:50:21] src/ndarray/ndarray.cc:1285: GPU is not enable Download the correct version of mxnet by using "pip install mxnet-cu***" *** refers to your cuda version
cd ~/.vimplus && ./uninstall.sh
- I make it work now! > Have u implemented it? I tried DDIM but found it fail in SR. I wonder how could it be implemented @liangbingzhao I've met...
Same questions here.
@patil-suraj Hi, How is it going? There's an unofficial repo with much attention: https://github.com/Janspiry/Image-Super-Resolution-via-Iterative-Refinement > That's awesome Pedro! I'm looking at implementing SR3 https://iterative-refinement.github.io/ for this task.