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Image Deblurring using Generative Adversarial Networks

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I want to train my dataset and what to do

Sir, I use your motion_blur code to generate blurred image, but unfortunately get the wrong one. Just like this: ![sharp](https://user-images.githubusercontent.com/20450318/41589516-4523b2fe-73e7-11e8-8a3f-6820fa5bdc46.jpg) ![blurred](https://user-images.githubusercontent.com/20450318/41589522-47f76732-73e7-11e8-8a38-984d6823677a.jpg) Seems someting wrong with the code. Expecting for your...

I cannot download the pretrained weight file,can anyone help me. Thank you!

i follow the python test.py --dataroot C:/Users/jiaco/Desktop/lalal --model test --dataset_mode single --learn_residual, and set the weight provided,but i get this image ![000618_fake_B](https://user-images.githubusercontent.com/61872614/76082173-b4947880-5fe5-11ea-847a-2c9afe994655.png)

Dear code contributors : Where can I find the deblurred image after running the script ? Plus, what can I do with the visdom.server webpage ? Best Regards, Hao Wang

It seems that the restored image is more blurred? As follows: real_a_image: ![real_a](https://user-images.githubusercontent.com/10356897/83390047-bb375e00-a423-11ea-9bf8-06c11e1de60c.png) fake_b_image: ![fake_b](https://user-images.githubusercontent.com/10356897/83390073-cc806a80-a423-11ea-8003-1e1ccda13dcc.png)

Testing out DeblurGAN on macOS Big Sur using anaconda and python 3.7. I got the error using the basic test command or a command with more flags with flag set...