• 64 GB RAM
• GTX 1080
• PyTorch 0.4.0
• RawPy 0.10
• Scipy

The program have been tested on Ubuntu 16.04 and Windows 10.

Execute:

python download_dataset.py

pip install rawpy
pip install torch===1.4.0 torchvision===0.5.0 -f https://download.pytorch.org/whl/torch_stable.html
pip install scipy

python train.py

• It will save model and generate result images every 100 epochs.
• The trained models will be saved in saved_model/ and the result images will be saved in test_result_Sony/.
• The result of the current output is displayed on the right side of the image file with the ground truth counter part shown on the left side.

python test.py

• The trained model is only for .ARW photos taken by Sony cameras.
• Pytorch somehow needs more GPU resources than Tensorflow. Therefore, it is impossible to take in the whole image.
• Testing will only take 1024 * 1024 pixels from the test images.
• This testing script is only for checking the performance of the trained model.
• The result will be saved in test_result_Sony with gt as ground truth images, scale as scaled images, ori as input images, and out as output images.