avr_classify_image_flow.json

[
	{	"id":"fdfac57e.3a6c48",
		"type":"http in",
		"name":"",
		"url":"/recognize",
		"method":"get",
		"swaggerDoc":"",
		"x":133,"y":104,"z":"b8faba5a.41017",
		"wires":[["faa4232c.af7478"]]
	},
	{	"id":"f41b5f2e.e7538",
		"type":"http response",
		"name":"HTTP Response",
		"x":990,"y":203,"z":"b8faba5a.41017",
		"wires":[]
	},
	{	"id":"faa4232c.af7478",
		"type":"switch",
		"name":"Check image param",
		"property":"payload.url",
		"rules":[{"t":"null"},{"t":"else"}],
		"checkall":"false",
		"outputs":2,
		"x":218,"y":186,"z":"b8faba5a.41017",
		"wires":[["89b54f88.f3a598"],["58db18d2.a95f8"]]
	},
	{	"id":"89b54f88.f3a598",
		"type":"template",
		"name":"HTML Input Form",
		"field":"payload",
		"format":"html",
		"template":"<h1>Visual Recognition Demo on Node-RED</h1>\n<h2>Type a image URL</h2>\n<form  action=\"{{req._parsedUrl.pathname}}\">\n    Url: <input type=\"text\" name=\"url\"/><br/>\n    Classifier id: <input type=\"text\" name=\"classifier_id\"/><br/>\n    <input type=\"submit\" value=\"Classify\"/>\n</form>\n",
		"x":681,"y":181,"z":"b8faba5a.41017",
		"wires":[["f41b5f2e.e7538"]]
	},
	{	"id":"58db18d2.a95f8",
		"type":"function",
		"name":"Classify",
		"func":"msg.imageurl = encodeURI(msg.payload.url)\nmsg.url=\"https://visual-recognition-moscow.mybluemix.net/api/classify?url=\" + encodeURI(msg.payload.url)+\"&classifier_id=\" + encodeURI(msg.payload.classifier_id);\nreturn msg;",
		"outputs":1,
		"noerr":0,
		"x":338,"y":288,"z":"b8faba5a.41017",
		"wires":[["e7f50db3.0886c8"]]
	},
	{	"id":"e7f50db3.0886c8",
		"type":"http request",
		"name":"",
		"method":"GET",
		"ret":"obj",
		"url":"",
		"x":339,"y":394,"z":"b8faba5a.41017",
		"wires":[["7966fc0e.fa67bc","2d0a233d.c0b494"]]
	},
	{	"id":"2d0a233d.c0b494",
		"type":"debug",
		"name":"JSON RESULT",
		"active":true,
		"console":"false",
		"complete":"true",
		"x":533.5,"y":430,"z":"b8faba5a.41017",
		"wires":[]
	},
	{	"id":"7966fc0e.fa67bc",
		"type":"function",
		"name":"Set Header for HTML",
		"func":"msg.imageclasses = msg.payload;\nmsg.headers = {'Content-Type' : 'text/html'};\nreturn msg;",
		"outputs":1,
		"noerr":0,
		"x":523,"y":333,"z":"b8faba5a.41017",
		"wires":[["8684d0ae.77d9f8","7f468394.20f70c"]]
	},
	{	"id":"8684d0ae.77d9f8",
		"type":"debug",
		"name":"Image Data",
		"active":true,
		"console":"false",
		"complete":"imageclasses",
		"x":722,"y":377,"z":"b8faba5a.41017",
		"wires":[]
	},
	{	"id":"7f468394.20f70c",
		"type":"template",
		"name":"HTML Classification Response",
		"field":"payload",
		"format":"handlebars",
		"template":"<h1>Visual Recognition on Node-RED</h1>\n{{#imageclasses}}\n    {{#images}}\n        <div><img src=\"{{imageurl}}\" height='100'/></div>\n        <div>{{image}}</div>\n        <br/>\n        <table border='1'>\n            <thead>\n                <tr><th>Classifier</th><th>Score</th></tr>\n            </thead>\n            <tbody>\n                {{#scores}}\n                    <tr>\n                        <td>\n                            {{name}}\n                        </td>\n                        <td>\n                            {{score}}\n                        </td>\n                    </tr>\n                {{/scores}} \n                {{^scores}}\n                    <tr>\n                        <td colspan=\"2\">\n                            No match to classification\n                        </td>\n                    </tr>\n                {{/scores}}                \n            </tbody>\n        </table>\n    {{/images}}    \n{{/imageclasses}}\n",
		"x":718,"y":253,"z":"b8faba5a.41017",
		"wires":[["f41b5f2e.e7538"]]
	}
]