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| | | <img src="https://i.imgur.com/K7jhHOg.png" width="380"><br><br> |
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| | | **Hopenet** is an easy to use and very accurate 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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| | | **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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