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Cylon.js For OpenCV\n\nCylon.js (http://cylonjs.com) is a JavaScript framework for robotics, physical computing, and the Internet of Things (IoT).\n\nThis repository contains the Cylon adaptor and drivers for OpenCV (http://opencv.org/), the powerful open source computer vision platform. It uses the node-opencv module [https://github.com/peterbraden/node-opencv](https://github.com/peterbraden/node-opencv) created by [@peterbraden](https://github.com/peterbraden) thank you!\n\nWant to use Ruby on robots? Check out our sister project Artoo (http://artoo.io)\n\nWant to use the Go programming language to power your robots? Check out our sister project Gobot (http://gobot.io).\n\n[![Build Status](https://secure.travis-ci.org/hybridgroup/cylon-opencv.png?branch=master)](http://travis-ci.org/hybridgroup/cylon-opencv) [![Code Climate](https://codeclimate.com/github/hybridgroup/cylon-opencv/badges/gpa.svg)](https://codeclimate.com/github/hybridgroup/cylon-opencv) [![Test Coverage](https://codeclimate.com/github/hybridgroup/cylon-opencv/badges/coverage.svg)](https://codeclimate.com/github/hybridgroup/cylon-opencv)\n\n## How to Install\n\n    $ npm install cylon cylon-opencv\n\nIn order to use OpenCV you first need to install it and make sure it is working correctly on your computer.\nYou can follow the tutorials in the [OpenCV site][site] to install it in your particular OS:\n\n[site]: http://docs.opencv.org/doc/tutorials/introduction/table_of_content_introduction/table_of_content_introduction.html#table-of-content-introduction\n\n### Ubuntu\n\n```bash\n#!/bin/bash\nsudo apt-get -y install autoconf automake build-essential git libass-dev libgpac-dev \\\n  libsdl1.2-dev libtheora-dev libtool libva-dev libvdpau-dev libvorbis-dev libx11-dev \\\n  libxext-dev libxfixes-dev pkg-config texi2html zlib1g-dev yasm libmp3lame-dev \\\n  libopus-dev libvpx-dev cmake libgtk2.0-dev pkg-config libjpeg8 libjpeg8-dev \\\n  libgstreamer0.10-0 libgstreamer0.10-dev gstreamer0.10-tools gstreamer0.10-plugins-base \\\n  libgstreamer-plugins-base0.10-dev gstreamer0.10-plugins-good gstreamer0.10-plugins-ugly \\\n  gstreamer0.10-plugins-bad gstreamer0.10-ffmpeg\nmkdir ~/ffmpeg_sources\ncd ~/ffmpeg_sources\ngit clone --depth 1 git://git.videolan.org/x264.git\ncd x264\n./configure --prefix=\"/usr/local\" --bindir=\"/usr/local/bin\" --enable-shared --enable-pic\nmake\nsudo make install\ncd ~/ffmpeg_sources\ngit clone --depth 1 git://git.code.sf.net/p/opencore-amr/fdk-aac\ncd fdk-aac\nautoreconf -fiv\n./configure --prefix=\"/usr/local\" --bindir=\"/usr/local/bin\" --enable-shared --with-pic\nmake\nsudo make install\ncd ~/ffmpeg_sources\ngit clone --depth 1 git://source.ffmpeg.org/ffmpeg\ncd ffmpeg\nexport PKG_CONFIG_PATH=\"/usr/local/lib/pkgconfig\"\n./configure --prefix=\"/usr/local\"   --extra-cflags=\"-I/usr/local/include\" --extra-ldflags=\"-L/usr/local/lib\"   --bindir=\"/usr/local/bin\" \\\n  --extra-libs=\"-ldl\" --enable-gpl --enable-libass --enable-libfdk-aac   --enable-libmp3lame --enable-libopus --enable-libtheora \\\n  --enable-libvorbis --enable-libvpx   --enable-libx264 --enable-nonfree --enable-x11grab --enable-shared --enable-pic\nmake\nsudo make install\nhash -r\ncd ~\ngit clone --depth 1 -b 2.4.6.2 https://github.com/Itseez/opencv.git\ncd opencv\nmkdir release\ncd release\ncmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..\nmake\nsudo make install\n```\n\n### Intel Edison\n\nIMPORTANT NOTE: if you are using the latest Edison firmware then DO NOT run `opkg install kernel-module-uvcvideo` as the UVC drivers are already installed, and it will cause them to stop working!\n\nFollow instructions from [http://alextgalileo.altervista.org/edison-package-repo-configuration-instructions.html](http://alextgalileo.altervista.org/edison-package-repo-configuration-instructions.html) to add the \"official unofficial\" package repo.\n\nThen run these commands:\n\n```\nopkg install libopencv-core-dev\nopkg install libopencv-calib3d-dev\nopkg install libopencv-contrib-dev\nopkg install libopencv-features2d-dev\nopkg install libopencv-flann-dev\nopkg install libopencv-gpu-dev\nopkg install libopencv-highgui-dev\nopkg install libopencv-imgproc-dev\nopkg install libopencv-legacy-dev\nopkg install libopencv-ml-dev\nopkg install libopencv-nonfree-dev\nopkg install libopencv-objdetect-dev\nopkg install libopencv-ocl-dev\nopkg install libopencv-photo-dev\nopkg install libopencv-stitching-dev\nopkg install libopencv-superres-dev\nopkg install libopencv-video-dev\nopkg install libopencv-videostab-dev\nopkg install opencv-staticdev\n```\n\n\n## How to Use\n\nUsing cylon-opencv is pretty easy, same as any other cylon adaptor making use of the appropiate cylon drivers.\n\nThe following example shows how to connect to a camera and display the video feed in a window.\n\nBefore running it be sure that `haarcascade_frontalface_alt.xml` file is referenced to the correct location.\nYou can download the file [here](https://github.com/hybridgroup/cylon-opencv/blob/master/examples/display_camera/haarcascade_frontalface_alt.xml).\n\n```javascript\nvar Cylon = require('cylon');\n\nCylon.robot({\n  connections: {\n    opencv: { adaptor: 'opencv' }\n  },\n\n\n  devices: {\n    window: { driver: 'window' },\n    camera: {\n      driver: 'camera',\n      camera: 1,\n      haarcascade: __dirname + \"/examples/opencv/haarcascade_frontalface_alt.xml\"\n    }\n  },\n\n  work: function(my) {\n    my.camera.once('cameraReady', function() {\n      console.log('The camera is ready!')\n\n      // We listen for frame ready event, when triggered\n      // we display the frame/image passed as an argument\n      // and we tell the window to wait 40 milliseconds\n      my.camera.on('frameReady', function(err, im) {\n        console.log(\"FRAMEREADY!\");\n        my.window.show(im, 40);\n      });\n\n      // Here we have two options to start reading frames from\n      // the camera feed.\n      // 1. As fast as possible triggering the next frame read\n      //    in the listener for frameReady, if you need video\n      //    as smooth as possible uncomment #my.camera.readFrame()\n      //    in the listener above and the one below this comment.\n      //\n      // my.camera.readFrame()\n      //\n      // 2. Use an interval of time to try and get aset amount\n      //    of frames per second  (FPS), in the next example\n      //    we are trying to get 1 frame every 50 milliseconds\n      //    (20 FPS).\n      //\n      every(50, function() { my.camera.readFrame(); });\n    });\n  }\n});\n\nCylon.start();\n```\n\n## How to Connect\n\nIn order to use OpenCV you first need to install it and make sure it is working correctly on your computer. You can follow the tutorials in the OpenCV site to install it in your particular OS:\n\n[How to install OpenCV](http://docs.opencv.org/doc/tutorials/introduction/table_of_content_introduction/table_of_content_introduction.html#table-of-content-introduction)\n\n## Documentation\n\nWe're busy adding documentation to our web site at http://cylonjs.com/ please check there as we continue to work on Cylon.js\n\nThank you!\n\n## Contributing\n\nFor our contribution guidelines, please go to [https://github.com/hybridgroup/cylon/blob/master/CONTRIBUTING.md\n](https://github.com/hybridgroup/cylon/blob/master/CONTRIBUTING.md\n).\n\n## Release History\n\nFor the release history, please go to [https://github.com/hybridgroup/cylon-opencv/blob/master/RELEASES.md\n](https://github.com/hybridgroup/cylon-opencv/blob/master/RELEASES.md\n).\n\n## License\n\nCopyright (c) 2013-2015 The Hybrid Group. 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