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It's part of the Intel® [librealsense](https://github.com/IntelRealSense/librealsense) open source project.\n\n# Sample Usage #\n\n```\nconst rs2 = require('node-librealsense');\n\nconst colorizer = new rs2.Colorizer();  // This will make depth image pretty\nconst pipeline = new rs2.Pipeline();  // Main work pipeline of RealSense camera\npipeline.start();  // Start camera\n\nconst frameset = pipeline.waitForFrames();  // Get a set of frames\nconst depth = frameset.depthFrame;  // Get depth data\nconst depthRGB = colorizer.colorize(depth);  // Make depth image pretty\nconst color = frameset.colorFrame;  // Get RGB image\n\n// TODO: use frame buffer data\ndepthRGB.getData();\ncolor.getData();\n\n// Before exiting, do cleanup.\nrs2.cleanup();\n```\n\nMore examples can be found in [examples directory](https://github.com/IntelRealSense/librealsense/tree/development/wrappers/nodejs/examples) of the module.\n\n## 1. Install Prerequisites ##\n\n### Setup Windows 10 Build Environment ###\n\n 1. Install Python 2.7.xx, make sure \"`Add python.exe to Path`\" is checked during the installation.\n\n 1. Install Visual Studio 2015 or 2017. The `Visual Studio 2017 Community` version also works.\n    After installation, make sure `msbuild.exe` is in PATH, e.g \"`C:\\Program Files (x86)\\Microsoft Visual Studio\\2017\\Community\\MSBuild\\15.0\\Bin`\"\n\n 1. Install CMake, make sure `CMake` is in system PATH (Choose \"`Add CMake to the system PATH for all users`\" or \"`Add CMake to the system PATH for the current user`\" during the installation).\n\nNote: The npm module `windows-build-tools` is not suffcient to build the native C++ librealsense.\n\n### Setup Ubuntu Linux 16.04 Build Environment ###\n\n```\nsudo apt install -y libusb-1.0-0-dev pkg-config libgtk-3-dev libglfw3-dev cmake\n```\n\nPlease refer to [Linux installation doc](https://github.com/IntelRealSense/librealsense/blob/development/doc/installation.md) or [Windows installation doc](https://github.com/IntelRealSense/librealsense/blob/development/doc/installation_windows.md) for full document of C++ librealsense build environment setup.\n\n### Setup Mac OS Build Environment ###\n\n**Note:** OSX support for the full range of functionality offered by the SDK is not yet complete.\n\n 1. Install XCode 6.0+ via the AppStore.\n\n 2. Install the Homebrew package manager via terminal - [link](http://brew.sh/)\n\n 3. Install the following packages via brew:\n   * `brew install libusb pkg-config`\n   * `brew install homebrew/versions/glfw3`\n   * `brew install cmake`\n\n### Setup Necessary Global NPM Packages ###\n\n```\nnpm install -g jsdoc\n```\n\n## 2. Instal node-librealsense Module ##\n\n```\nnpm install --save node-librealsense\n```\nIt will take a while to build C++ librealsense library, and then the Node.js addon will be built. If both of them succeed, the node-librealsense module is ready to use.\n\n## 3. Run Examples ##\n\nWhen it's installed, you can run examples to see if it works fine. Plug in your Intel® RealSense™ camera and do the following:\n\n```\ncd node-librealsense/examples\nnpm install\nnode nodejs-capture.js\n```\n### List of Examples ##\n\n1. `nodejs-align.js`: capture and then align RGB image frames to depth image frames, using depth info to remove background by a distance threshold.\n1. `nodejs-capture.js`: display RGB image frames and colorized depth image frames that are captured in real time\n1. `nodejs-save-to-disk.js`: capture a RGB image frame and a depth image frame, then save both of them to disk file (*.png)\n1. `nodejs-pointcloud.js`: capture RGB image frames and depth image frames, and then use them to generate and visualize textured 3D pointcloud\n\n## 4. API Reference Document ##\nOpen `node-librealsense/doc/index.html` for full reference document. If it isn't there, run the following commands to generate it:\n\n```\ncd node-librealsense/\nnpm run doc\n```\n\n## 5. 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