Face Swap Application

This project is a Streamlit web application that allows users to perform face swapping between images. Users can upload a source image and a target face image, detect faces in the source image, and select a specific face to swap with the target face.

Project Structure

face-swap-app
├── app.py               # Main entry point of the Streamlit application
├── utils                # Utility functions for face detection and swapping
│   ├── __init__.py     # Initialization file for the utils module
│   └── face_swap.py    # Contains functions for face detection and swapping
├── models               # Directory containing pre-trained models
│   └── inswapper_128.onnx # Pre-trained model for face swapping
├── requirements.txt     # Lists the dependencies required for the project
└── README.md            # Documentation for the project

Setup Instructions

1. Clone the repository:

   git clone <repository-url>
   cd face-swap-app

2. Install the required dependencies: It is recommended to use a virtual environment. You can create one using venv or conda.

   pip install -r requirements.txt

3. Run the application: Start the Streamlit application by running:

   streamlit run app.py

Usage Guidelines

• Upload a source image that contains one or more faces.
• Upload a target face image that you want to swap with.
• Select the "Multiple face" option to detect and display faces in the source image.
• Choose a face ID from the detected faces for swapping.
• The application will display the result of the face swap operation.

Dependencies

The project requires the following Python packages:

• Streamlit
• OpenCV
• InsightFace

Make sure to install all dependencies listed in requirements.txt before running the application.

License

This project is licensed under the MIT License. See the LICENSE file for more details.