DeepPrivacy Demo

This repository includes the code for the demo of the advanced program for further research on the paper 'Customizing facial privacy on SNS: A framework for protecting users from strangers and stalkers' on CHI 2025 Late-Breaking Work.

1. File Structure

.
├── backend
│   ├── arcface_model
│   ├── checkpoints
│   ├── cog.yaml
│   ├── crop_224
│   ├── data
│   ├── demo_file
│   ├── docs
│   ├── download-weights.sh
│   ├── emojis
│   ├── insightface_func
│   ├── LICENSE
│   ├── main.py
│   ├── models
│   ├── options
│   ├── output
│   ├── parsing_model
│   ├── people
│   ├── pg_modules
│   ├── simswaplogo
│   └── util
├── React_instagram_clone
│   ├── base-tsconfig.json
│   ├── build
│   ├── node_modules
│   ├── package.json
│   ├── package-lock.json
│   ├── public
│   ├── README.md
│   ├── src
│   └── tsconfig.json
├── README.md
└── requirements.txt

The frontend directory contains the code for React-based web application, and the backend directory contains the code for Flask-based server-side application. If you want to make a fix, please do not forget to npm run build in the frontend directory before executing the python main.py in the backend directory.

2. Prerequisites

The demo requires the following software and libraries:

pip install -r requirements.txt

Also, you need to download several pre-trained models to run the demo. You can download such weights following the instructions in the SimSwap repository.

3. How to start

To start this application, you have to execute follow commands.

cd backends
python main.py

Then, you can access to the demo page from your browser.

http://localhost:8888/