natanielruiz/deep-head-pose
PyTorch-based deep neural network for estimating head pose angles (yaw, pitch, roll) from images and video.

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Hopenet is a head pose estimation network trained on the 300W-LP dataset. It takes facial images as input and predicts head orientation angles using a deep neural network architecture. The project includes pre-trained models and scripts for testing on video files, with support for both dlib and Dockerface face detectors.
Frequently asked
- What is natanielruiz/deep-head-pose?
- PyTorch-based deep neural network for estimating head pose angles (yaw, pitch, roll) from images and video.
- Is deep-head-pose open source?
- Yes — natanielruiz/deep-head-pose is an open-source project tracked on heatdrop.
- What language is deep-head-pose written in?
- natanielruiz/deep-head-pose is primarily written in Python.
- How popular is deep-head-pose?
- natanielruiz/deep-head-pose has 1.7k stars on GitHub.
- Where can I find deep-head-pose?
- natanielruiz/deep-head-pose is on GitHub at https://github.com/natanielruiz/deep-head-pose.