yinguobing/head-pose-estimation
Real-time head pose estimation system using deep learning models to detect facial landmarks and calculate head orientation from images.
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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.
Frequently asked
- What is yinguobing/head-pose-estimation?
- Real-time head pose estimation system using deep learning models to detect facial landmarks and calculate head orientation from images.
- Is head-pose-estimation open source?
- Yes — yinguobing/head-pose-estimation is open source, released under the MIT license.
- What language is head-pose-estimation written in?
- yinguobing/head-pose-estimation is primarily written in Python.
- How popular is head-pose-estimation?
- yinguobing/head-pose-estimation has 1.4k stars on GitHub.
- Where can I find head-pose-estimation?
- yinguobing/head-pose-estimation is on GitHub at https://github.com/yinguobing/head-pose-estimation.