Comments (9)
You should upload some results then I can help debug
from enlightengan.
My apologies for taking so long to reply. Here are a few sample images I have.
The results of enhancement from my end have a lot of artifacts around light sources.
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Do you use the dark dataset in BDD-100k and bright dataset from what I provided?
from enlightengan.
Yes I did for both. More specifically I used images from BDD-100k that are labeled as "night" in the labels.
Do you know what is causing this artifact, or how to move forward from here to troubleshoot the problem?
from enlightengan.
我也用bdd-100k数据集去训练,我想问您说低亮度数据集使用自己的,正常光数据集使用您提供的1016张图片,那我自己低亮度的数据个数有限制吗,对低亮度的图片还有其他要求吗?非常期待您 的回复 @yueruchen
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I'm really busy over the last month. Have you solved the problems? @zhangxiaopang88 @russelltankl
from enlightengan.
@zhangxiaopang88 If you want to use your own dataset, you should confirm that 1) the dataset you prepared is not extremely dark, which is not suitable in our case due to severe noise. 2) prepare ~1000 data should be enough
from enlightengan.
@yueruchen I have not solved it yet. Currently, I'm not sure how to proceed
from enlightengan.
Could you please slightly enlarge the self_feature_preserving_loss --vgg
?
Normally we use gan loss and vgg loss to balance the brightness and naturalness. Seems that your results show that you make it too much bright, so you should increase the --vgg
loss weight.
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Related Issues (20)
- UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.
- multiprocessing error HOT 2
- Could it be posible create low-light image? HOT 1
- 请问有关于纯粹的EnlightenGAN这篇论文的代码吗?不包含其他对比算法的。 HOT 1
- train issues HOT 1
- where to place the final_dataset folder? HOT 1
- 请问在哪里修改生成图像的名称 HOT 1
- error HOT 1
- TypeError: load() missing 1 required positional argument: 'Loader' HOT 1
- The difference between D_A and D_P loss
- 训练时判别器网络报错
- 下载模型 HOT 1
- Pre-Processing for Improving Classification
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- Questions about training data sets HOT 2
- 训练效果
- can i use it to my own high-resolution images?
- 亮度提升
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