UQoL Quantification

Environment: Tested with PyTorch 1.8.1 and CUDA 10.2.

1. Create and activate a conda environment:

   conda create -n rdg
   source activate rdg

2. Install dependencies:

   pip install torch==1.8.1 torchvision==0.9.1 torchaudio==0.8.1 yacs openpyxl matplotlib pandas segmentation_models_pytorch albumentations

Dataset:

• Potsdam and Bhopal datasets are used for training.
• Download the dataset from here.

Training:

sh bashes/train_rdg.sh

3. Acknowledgement

• The code is based on ResiDualGAN-DRDG.