Kinect Tutorial 教程2018

Kinect Tutorial 教程2018

Kinect Tutorial in Python3 教程2018

开发环境macOSpython 3.6libfreenect API:https://openkinect.github.io/libfreenect2/index.html OpenCV 3.3Kinect v1安装 Tutorial/在virtualenv安装freenect库-python3.md 参考图书：Kinect Hacks by Jared St. JeanHacking the Xbox Kinect使用libfreenect Raspberry-Kinect-Opencv https://github.com/Snigf12/Python-Raspberry-Kinect-Opencv---Artificial-Vision-SystemROS Kinect-ASUS-Xtion-Pro-Live-Calibration-Tutorials 校准https://openkinect.org/wiki/Calibration好 Kinect校准教程 常问问题深度图像（v1）中有什么阴影？Kinect阴影图kinect可以看到的深度范围是多少？（v1）〜0.7-6米或2.3-20英尺。请注意，在距离太远和太近的两个元素上都会得到黑色像素（或2048的原始深度值）。 fakenect hands freenect-cppview Skeleton Tracking骨骼追踪需要使用OpenNi和NiTE NiViewer2只支持Kinect V2 ？？OpenKinect/libfreenect does not provide skeleton tracking. OpenNI provides skeleton tracking through the proprietary NiTE. The Microsoft SDK provides skeleton tracking as well, it basically the same as the skeleton tracking through NiTE. 第2个开源方案：https://github.com/joaquimrocha/Skeltrackhttps://github.com/elima/GFreenect Be sure to install GFreenect before Skeltrack https://github.com/elima/GFreenect Once Skeltrack is compiled run the kinect binary in the examples folder安装步骤 https://tayyabnaseer.blogspot.jp/2012/05/installing-skeltrack-on-ubuntu.htmlhttp://instructables.com/id/Kinect-Desktop-Control-for-Linux/演示视频 Skeleton Tracking with Kinect & Processing Kinect体感操控 libfreenect multiple kinects同时连接多个Kinect代码参考 测试过。https://github.com/shiffman/OpenKinect-for-Processing/blob/8820b4e18d43d806df2409216d6505c0fe6da90f/OpenKinect-Processing/examples/Kinect_v1/MultiKinect/MultiKinect.pde https://github.com/OpenKinect/libfreenect/issues/522It is somewhat hard to tell about your PCIe bandwidth带宽不够. It is part of the motherboard configuration and it depends on the USB controller link too. You can try out different machines though, or you can use multiple machines and connect them through ROS. 需要一台配备强大GPU的高端个人电脑，每个Kinect需要一个USB3控制器，每个控制器都有自己的PCI-Express x8或x16连接。亚马孙 4 Port PCI Express (PCIe) SuperSpeed USB 3.0 Card Adapterhttps://forum.openframeworks.cc/t/multiple-kinect-setup-for-real-time-volumetric-reconstruction-and-tracking-of-people/15271

while(1): img = get_depth() freenect.stop_depth(device1) # display the img # proceed without delay freenect.start_depth(device1)

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