Comments (2)
Train_denoising.py file is provided as an example. You can use the same training code for image enhancement as well. Just provide the paths to your training and validation data here
Line 23 in d7e4717
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Please set NUM_EPOCHS
to 200 for Image Enhancement training.
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Related Issues (20)
- There is a question that the data processing of super-resolution and the data processing of Image denoising? HOT 2
- training.yml for LOL enhancement HOT 2
- About SR premodel
- Training Dataset link for Image Enhancement? HOT 2
- Questions on Enhancement.pth HOT 2
- Parameters and FLOPs HOT 1
- Training Details on RealSR Dataset HOT 1
- Which SSIM implementation? HOT 1
- Train HOT 3
- doubt regarding training on denoising dataset
- Can't evaluate - ModuleNotFoundError
- Implementing SKFF with Tensorflow
- NameError: name 'warmup' is not defined HOT 5
- torch.clamp
- Some questions about your code HOT 1
- Log Files from Training HOT 1
- Question in MIRNet_model.py
- SIDD dataset is not avaiable HOT 1
- A lightweight, fast and extended version of MIRNet is accepted in TPAMI HOT 2
- Questions regarding the SIDD dataset split HOT 2
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