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AR_ImgDetect\n\nImage detection combined with AR.\n\nIt was a bonus for [AR_DOA](https://github.com/BLKKKBVSIK/AR_DOA) School Project at Bonch-Bruevich Saint Petersburg State University of Telecommunications (SPBSUT) . \n\nRussian: Санкт-Петербургский государственный университет телекоммуникаций (СПбГУТ) . \n\n## Goal\n\nThe goal was to provide a bonus to our school project and, also test other function from ViroAR Library.\n\n\n## Examples\n\nDemo of the fonctionnal application:\n\nPersonnal conclusion:\nThe image fetched was made by myself, the library has some trouble to find the picture if it's upside down or if the picture is mainly of 1 color.\n\n![ARDemo](https://thumbs.gfycat.com/IdioticFailingGenet-size_restricted.gif)\n\n## Install\n\nLibraries used:\n[ViroAR by ViroMedia](https://viromedia.com/viroar)\n\nPrerequisites:\n\nAndroid -\u003e An ARCore supported device .\n\niOS -\u003e iOS Device with A9 chip or higher and running iOS 11 or higher . \n\n\nMake sure to have npm and node installed on your pc . \n\nMACOS:\nhttps://blog.teamtreehouse.com/install-node-js-npm-mac\n\nLINUX:\nhttps://blog.teamtreehouse.com/install-node-js-npm-linux\n\nWINDOWS:\nhttps://blog.teamtreehouse.com/install-node-js-npm-windows\n\n--------------------------------------------------------\n\nRegister into ViroMedia and generate a new API Key\nEdit `App.js` under your project.\n\nYou can also change the image detected by the application by switching `logo.png` to another picture in the `js/res/` folder.\n\n\nDownload the ViroMedia testbed app:\n\niOS:\nhttps://itunes.apple.com/us/app/viro-media/id1163100576?mt=8\n\nAndroid:\nhttps://play.google.com/store/apps/details?id=com.viromedia.viromedia\n\nNow, make sure ngrok is also installed and run the command `npm install` .\n\nAfter the installation is completed you can run `npm start`, the ngrok link should appear in the console.\nYou just have to copy it to the ViroMedia testbed 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