Author: parlad
License: MIT License
DeepfakeWithOpenCV is an open-source project that leverages OpenCV and deep learning techniques to create realistic deepfake videos and images. This project aims to provide an accessible way for developers and researchers to experiment with deepfake technology, understand its mechanics, and explore its applications and implications.
- Face detection and alignment using OpenCV.
- Deep learning-based face swapping.
- Support for video and image inputs.
- User-friendly command-line interface.
- Extensible architecture for custom models.
Follow the steps below to set up the project locally.
- Python 3.7 or higher
- pip
- Git
git clone https://github.com/parlad/DeepfakeWithOpenCV.git
cd DeepfakeWithOpenCV
pip install -r requirements.txt
python deepfake.py --source path/to/source.jpg --target path/to/target.jpg --output path/to/output.jpg
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## Examples
### Swap Faces in an Image
```bash
python deepfake.py --source images/person1.jpg --target images/person2.jpg --output output/swapped_person.jpg