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IEC  Akraino Edge Stack supports AR/VR  applications. It could support AR/VR Algorithms that with GPU Modeling (i.e. modeling describes the process of forming the shape of an object) Compositing (e.g. Environmental Mapping, Tone Mapping) Rendering and Illumination Models Visualization of Large Volume 3D Models (e.g. Global Network Operations Center monitoring) Registration (e.g. Stitching data from distributed sources) Segmentation (e.g. Segmentation and detection for security monitoring). This IEC Type 4 AR/VR platform utilizes Tars for remote direct memory access control. In this document, we use Virtual Classroom  as demo for IEC Type4.   Virtual Classroom is an online learning environment that allows teachers and students to communicate and interact with each other in real time. We use WebGL, Three.js and JavaScript to develop Virtual Classroom application.  

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Installation for Tars Master

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nvm install v8.11.3
npm install -g pm2 --registry=https://registry.npm.taobao.org

mkdir Tars
&& cd Tars
git clone https://github.com/TarsCloud/TarsFramework.git --recursive
cd TarsFramework/build
chmod u+x build.sh
./build.sh prepare
./build.sh all

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Installation for Tars Agent(Jenkins Slave)

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