This project estimates human head pose in real-time by combining face detection, 68-point facial landmark detection via deep learning models, and PnP algorithm computation. It uses ONNX Runtime for efficient model inference and OpenCV for image processing. Pre-trained models for face detection and landmark detection are provided, and users can run inference on video files or webcam feeds.