Comments (3)
Thanks for your reply!
Listed below are infered results of this picture using your provided pretrained model and it works well
In the course of training from scratch, only underexposed and well-exposed images are provided, which is not same as yours. In fact, G_loss, one of the training loss, is decreased to about 0.02 for training and validation.
I'll check more and figure out where I make mistakes.
from exposure_correction.
That is odd! Are you sure that the code uses the proper ground-truth directory? Did you try the provided pre-trained model on the same image?
from exposure_correction.
That is odd! Are you sure that the code uses the proper ground-truth directory? Did you try the provided pre-trained model on the same image?
I checked this. I truly use the proper ground-truth directory. Perhaps, I have changed the code some where. I noticed that those images you used for training are all with a max length of 1024px, which differs from my 512px.
from exposure_correction.
Related Issues (20)
- when will you plan to release your code? i want to run it HOT 1
- How do you resize images for evaluation and testing ? HOT 1
- Implementation of Bilateral Guided Upsampling HOT 3
- Congratulations for the excellent work. I'm waiting the release of the source code! HOT 1
- [Code Release requested] Looking forward to the code HOT 2
- [Feature Requested] Will a PyTorch version of the code be available? HOT 1
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- python HOT 2
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- Training code HOT 3
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- when will you plan to release your code? It's been a long time. HOT 1
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from exposure_correction.