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| | | **Hopenet** is an accurate and easy to use head pose estimation network. Models have been trained on the 300W-LP dataset and have been tested on real data with good qualitative performance. For accuracy numbers and more details about the method please check the [paper](https://arxiv.org/abs/1710.00925). |
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| | | To use please install [PyTorch](http://pytorch.org/) and [OpenCV](https://opencv.org/) (for video) - I believe that's all you need apart from usual libraries such as numpy. |
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| | | To use please install [PyTorch](http://pytorch.org/) and [OpenCV](https://opencv.org/) (for video) - I believe that's all you need apart from usual libraries such as numpy. You need a GPU to run Hopenet (for now). |
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| | | To test on a video using dlib face detections (center of face will be jumpy): |
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| | | ```bash |
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