In this project, I use OpenCV and Viola-Jones Algorithm to build a simple face detection system that works in real-time.
To detect the face the software uses the Haar-like features with the help of the haarcascade_eye.xml and haarcascade_frontalface_default.xml files.
To run this code, download Python 3 from Python.org.
After installing Python, add the required package using pip installer:
pip install -r requirements.txt
To run the detection on real-time using the webcam, run:
python face_recognition.py
To perform the face detection on an image, just add the file name as an argument:
python face_recognition.py -f image.jpg
The script will create an output with a similar name. It with add the _output in the file name (ex: image_output.jpg)
Add the -s flag to perform smile detection.
You can also run this script as an Streamlit application:
streamlit run app.py
It will automatically open the browser and show the app.
You can also test a demo on Heroku Plataform: Face Detection Demo
- OpenCV - Open Computer Vision Library.
This project is licensed under the MIT License - see the LICENSE.md file for details.