DIDN
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SonghyunYu
Generation rules for training sets
Hi Author, I am trying to train my data set. So,I am very curious about the data content generation rules in training_rgb_5to50_uint8_samples.h5. If possible, could you please share this file through baidu cloud disk or some other ways ?Thank you very much.
Hello, I would like to ask why the test results do not correspond to the original picture? for example, the picture of noisy_mat_s50_init/text0001.mat and the picture of result/text0001.png aren't same. If you have time, I hope you can help me with this problem. thank u very much!
---Original--- From: "SonghyunYu"<[email protected]> Date: 2020/11/10 14:10:05 To: "SonghyunYu/DIDN"<[email protected]>; Cc: "Author"<[email protected]>;"lililaaaaaa"<[email protected]>; Subject: Re: [SonghyunYu/DIDN] Generation rules for training sets (#5)
Hi, ./data folder includes dataset generation .m files using matlab.
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If it means input and output file names do not match, I think it would help to use the sorted() function to the 'origin_names' variable in the evaluation code like: origin_names = sorted(os.listdir("file path"))
I have solved this problem. thank u very much!
---Original--- From: "SonghyunYu"<[email protected]> Date: 2020/11/10 16:08:11 To: "SonghyunYu/DIDN"<[email protected]>; Cc: "Author"<[email protected]>;"lililaaaaaa"<[email protected]>; Subject: Re: [SonghyunYu/DIDN] Generation rules for training sets (#5)
If it means input and output file names do not match, I think it would help to use the sorted() function to the 'origin_names' variable in the evaluation code like: origin_names = sorted(os.listdir("file path"))
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