From 81b87679dd72f963d2fd19887731c8146b2e2541 Mon Sep 17 00:00:00 2001
From: Nataniel Ruiz <nruiz9@gatech.edu>
Date: 星期三, 29 十一月 2017 13:55:39 +0800
Subject: [PATCH] Update README.md

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 README.md |    2 +-
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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).
+**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).
 
 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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