RealTimeFaceOrientation

RealTimeFaceOrientation is a cutting-edge, real-time video processing application that detects human faces and determines the orientation of the head (neutral, left bend, or right bend) using advanced computer vision techniques.

Features

• Real-time face detection in video streams.
• Accurate head orientation detection (neutral, left bend, right bend).
• Utilizes Histogram of Oriented Gradients (HOG) for face detection.
• Implementation of facial landmark detection for precise orientation analysis.

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.6+
• Dlib
• OpenCV
• A pre-trained model file shape_predictor_68_face_landmarks.dat for facial landmark detection.

Installation

To install and run RealTimeFaceOrientation, follow these steps:

Linux, macOS, and Windows:

git clone https://github.com/ali-rabiee/RealTimeFaceOrientation.git
cd RealTimeFaceOrientation
pip install -r requirements.txt
wget http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
bzip2 -d shape_predictor_68_face_landmarks.dat.bz2

Usage

python main.py

Contributors

Thanks to @ShayanK1996 who has contributed to this project

License

This project uses the following license: MIT