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Questions about training data and result #24

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Maxwells-Demons opened this issue Oct 8, 2022 · 6 comments
Open

Questions about training data and result #24

Maxwells-Demons opened this issue Oct 8, 2022 · 6 comments

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@Maxwells-Demons
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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
Besides, I ran it in my own Windows environment (cuda==11.7, pytorch==1.12.1) and the result skew to yellow.
windows
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
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 :)

@tengyu1998
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tengyu1998 commented Oct 8, 2022 via email

@hzy-del
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hzy-del commented Dec 11, 2022

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 Besides, I ran it in my own Windows environment (cuda==11.7, pytorch==1.12.1) and the result skew to yellow. windows 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 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 :)

Have you solved the problem yet?

@Maxwells-Demons
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Author

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 Besides, I ran it in my own Windows environment (cuda==11.7, pytorch==1.12.1) and the result skew to yellow. windows 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 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 :)

Have you solved the problem yet?

No :( , I gave it up

@githubwsnd
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Same problem here: MIT5K were not enhanced

@hzy-del
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hzy-del commented Apr 4, 2023

I use the BSD300 dataset, no enhance

@tengyu1998
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tengyu1998 commented Apr 4, 2023 via email

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4 participants