• Niharika Krishnan (nk2982)
• Vaibhav Singh (vs2410)

• Dataset
• Installation

git clone https://github.com/Distributed_Image_Enhancement.git
cd Distributed_Image_Enhancement

1.) Installation on conda environment -

conda env create --name v_env --file=environments.yml
python3 train.py

2.) Installation via requirements.txt -

pip install requirements.txt
python3 train.py

https://www.kaggle.com/datasets/arnaud58/flickrfaceshq-dataset-ffhq (21gb)

1. Currently the program uses 10 images for running end to end.
2. Download the complete dataset from the above url into "face_data" folder and change the data_path in config.yml file