Paper

• Install dependencies:

pip install -r requirements.txt

• Put your data into the 'datasets' directory
• Creat train and val patches:

python get_patch_wdc.py

• Creat test data:

python get_patch_wdc_test.py

• Open the model directory in terminal
• Set python environment
• Train example:

python .\train.py --config-file .\gauss_blind_config.yaml

• Test example:

python .\predict.py --config-file .\gauss_blind_config.yaml