Comments (2)
I have collected and reported all the results through our framework. Please run the Grayscale_denoising_testing.py file to get the results for the Grayscale dataset.
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Dear akshaydudhane16,
First of all, thanks for your reply. I understand there is a part of Grayscale_denoising_testing.py that calculates PSNR. However, the psnr calculated is before DenoisingPostProcess, while the psnr calculated is after DenoisingPostProcess in other methods, like MFIR, BPN. So I have a little bit of a problem with that, I'm looking forward to your answers.
Thanks,
from bipnet.
Related Issues (20)
- Overfitting on the training set of BurstSR HOT 3
- The problem of test code and PSNR in Grayscale dataset HOT 1
- Color denoising metrics HOT 1
- About testing in low-light enhancement
- BursrSR real dataset training HOT 1
- Loss nan for BurstSR Track 2 training HOT 2
- No training code for denoting
- The Results on Track2 of Burst SR Cannot be Reproduced HOT 1
- About the code for the network
- Question for SR burst training
- Can not download trained model in Color Denoising
- Model class methods need to be overrided caused by Pytorch Lightning HOT 2
- Can't find grayscale_denoising_training.py under Burst de-noising file HOT 1
- There is no training code for burst denoising HOT 1
- About batch size in training HOT 2
- About training setting of real world BurstSR dataset HOT 3
- no training code for burst denoising and low light enhancement HOT 2
- The pre-trained model gets no paper points HOT 1
- New Super-Resolution Benchmarks
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