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Image recognition tool

License: MIT License

JavaScript 73.57% CSS 6.36% HTML 20.07%

inklink's Introduction

inklink

Image recognition tool

##Setup Create an account for CraftAR In server/, create keys.js and add your CraftAR api_key in the module.exports. You might also want to add collection or item uuids manually, for testing purposes.

Run npm install to install dependencies

##Run Run the node server node server/server.js

##Admin Go to http://localhost:2017/admin. You can then create a new collection (WARNING: this will delete any existing collection) and/or add items to a collection.

To add items you must upload a ZIP file containing images in folders representing the items. The folders should be names in the format itemName*itemUrl. The * is a mandatory separator between the 2, and the itemUrl should exclude http://. Please note the only accepted image format for now is .png.

##Scan To scan your images, go to http://localhost:2017/ while your node server is running. Note: You must have a collection with an image in it, and allow the camera Note: To test it on your phone, go to http://<your ip address>:2017 while on the same wireless network as the machine running the Node server. (There is a chance this might not work on Android, as getUserMedia needs to be under https except for localhost)

Hit 'Start scanning' (or Select an image on iOS) whilst pointing at the desired image.

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lily2point0 avatar railsagainstignorance avatar seanmtracey avatar wheresrhys avatar

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