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Questions about training data and result #24
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您好,邮件已收到,我将尽快处理。
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Same problem here: MIT5K were not enhanced |
I use the BSD300 dataset, no enhance |
您好,邮件已收到,我将尽快处理。
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Hi! Dear author! I've read your excellent paper recently. Since you didn't mention training data in the paper, I ran your code with training and testing dataset of LOL in your docker environment (cuda==11.1, pytorch==1.8.0). But the result images skew to green.
![ubuntu docker](https://user-images.githubusercontent.com/54426652/194700583-7f03ba05-b6cb-4207-8e88-5d80ec14b5c9.png)
![windows](https://user-images.githubusercontent.com/54426652/194700589-a5396e1a-e70b-4f79-aa61-e5f8adb9e93e.png)
Besides, I ran it in my own Windows environment (cuda==11.7, pytorch==1.12.1) and the result skew to yellow.
I'm wondering if there is anything wrong with the code or other settings.
And I also ran your code in MIT5k and SICE dataset (which have multi-exposed images) and the result images seem like the model didn't apply any enhancement at all.
![SICE](https://user-images.githubusercontent.com/54426652/194700951-6760ba31-0db2-4031-b818-a16e905bb294.png)
So could you please provide your training data for three models you offered in your repo? I really want to reproduce the results in the paper.
Looking forward to your reply :)
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