本文介绍了实时视频中的头部姿势估计的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我需要在现场摄像机视频中做头部姿势估计。我尝试了几个选项,如POSIT和。

I need to do head pose estimation in live camera video. I have tried with few options like POSIT and shervin Emami's code.

问题是我找不到任何使用实时视频作为输入的代码。任何人都可以建议好的开源代码或方法找到头部姿势。

The problem is that I couldnt find any code that uses live video as input. Can anyone suggest good opensource code or methods to find head-pose.

输入:来自相机的帧。

预期输出:找到面部姿势。

如果我获得链接或代码如果有的话。此外,我计划在Android和IOS中使用相同的应用程序,以便提供一些可能对我有用的有用链接。

It would be great if I get an links or codes if any. Also I am planning to do the same application in Android and IOS so like to have few useful links which may help me.

推荐答案

看看,这是一个实时的多人系统在单个图像上联合检测人体,手和面部关键点(总共130个关键点)。使用CNN,它是计算机视觉领域深度学习的一个很好的例子。

Take a look at OpenPose, it's a real-time multi-person system to jointly detect human body, hand, and facial keypoints (in total 130 keypoints) on single images. Using a CNN, it's a great example of Deep Learning in the field of computer vision.

OpenPose最初是使用Caffe构建的,但是TensorFlow的端口开始出现。例如,这个是使用TensorFlow实现的OpenPose。此外,新型号基于Mobilenet,使其更适合在CPU或低功耗嵌入式设备(例如智能手机)上运行。顺便说一句,TensorFlow支持Android和iOS!

OpenPose is originally build with Caffe, but ports to TensorFlow are starting to emerge. For example this github repo, is a implementation of OpenPose using TensorFlow. In addition, the new model is bases on Mobilenet, which makes it more fit to run on CPU or low-power embedded devices (like a smartphone for example). BTW, TensorFlow supports both Android and iOS!

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08-28 22:48