Image

test image

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msg.result.images[0].classifiers[0].classes[0].score;\n        return msg;\n    } else {\n        msg.payload = 0\n        return msg;\n    }\n} else {\n    msg.payload = 0\n    return msg;\n}","outputs":1,"noerr":0,"x":890,"y":60,"wires":[["c145a6ca.bcfb98"]]},{"id":"c145a6ca.bcfb98","type":"debug","z":"8a789b93.971048","name":"","active":true,"console":"true","complete":"true","x":1030,"y":60,"wires":[]},{"id":"d73ec5e.bfc6038","type":"function","z":"8a789b93.971048","name":"count Ships","func":"// initialise the counter to 0 if it doesn't exist already\nvar count = context.get('count')||0;\ncount += 1;\ncount %= 40;\n// store the value back\ncontext.set('count',count);\n// make it part of the outgoing msg object\nmsg.count = count;\n\nmsg.filename=\"Ship (\" + (count) + \").jpg\";\nreturn msg;","outputs":1,"noerr":0,"x":330,"y":40,"wires":[["7268d772.887228"]]},{"id":"df542288.2ab74","type":"http in","z":"8a789b93.971048","name":"","url":"/reco","method":"get","swaggerDoc":"","x":720,"y":420,"wires":[["8588c616.199aa8"]]},{"id":"5bfe2f21.f130d","type":"http response","z":"8a789b93.971048","name":"HTTP Response","x":1240,"y":500,"wires":[]},{"id":"8588c616.199aa8","type":"switch","z":"8a789b93.971048","name":"Check image param","property":"payload.imageurl","propertyType":"msg","rules":[{"t":"null"},{"t":"else"}],"checkall":"false","outputs":2,"x":784,"y":462,"wires":[["92e0794e.6b09d8"],["fac87400.8100f8"]]},{"id":"92e0794e.6b09d8","type":"template","z":"8a789b93.971048","name":"Get Image URL","field":"payload","fieldType":"msg","format":"html","syntax":"mustache","template":"<html>\n<head><title>Watson Visual Recognition on Node-RED</title></head>\n<body>\n<h1>Welcome to the Watson Visual Recognition Demo on Node-RED</h1>\n<h2>Select an image URL</h2>\n<form  action=\"{{req._parsedUrl.pathname}}\">\n    <img src=\"http://visual-recognition-demo.mybluemix.net/images/horses.jpg\" height='100'/>\n    <img src=\"http://visual-recognition-demo.mybluemix.net/images/73388.jpg\" height='100'/>\n    <img src=\"http://visual-recognition-demo.mybluemix.net/images/26537.jpg\" height='100'/>\n    <img src=\"http://visual-recognition-demo.mybluemix.net/images/4068.jpg\" height='100'/>\n    <br/>Copy above image location URL or enter any image URL:<br/>\n    <input type=\"text\" name=\"imageurl\"/>\n    <input type=\"submit\" value=\"Analyze\"/>\n</form>\n</body>\n</html>","x":1140,"y":460,"wires":[["5bfe2f21.f130d"]]},{"id":"925bad00.148d5","type":"template","z":"8a789b93.971048","name":"Report","field":"payload","fieldType":"msg","format":"html","syntax":"mustache","template":"<html>\n<head><title>Watson Visual Recognition on Node-RED</title></head>\n<body>\n<h1>Node-RED Watson Visual Recognition output</h1>\n<p>Analyzed image: {{payload}}<br/><img src=\"{{payload}}\" height='100'/></p>\n<table border='1'>\n    <thead><tr><th>Name</th><th>Score</th></tr></thead>\n{{#labels}}\n  <tr><td><b>{{label_name}}</b></td><td><i>{{label_score}}</i></td></tr>\n{{/labels}}\n</table>\n<form  action=\"{{req._parsedUrl.pathname}}\">\n    <input type=\"submit\" value=\"Try again\"/>\n</form>\n</body>\n</html>","x":1130,"y":540,"wires":[["5bfe2f21.f130d"]]},{"id":"fac87400.8100f8","type":"change","z":"8a789b93.971048","name":"Extract img URL","rules":[{"t":"set","p":"payload","to":"msg.payload.imageurl"}],"action":"","property":"","from":"","to":"","reg":false,"x":860,"y":500,"wires":[["e1af2426.4580a8"]]},{"id":"1369aca2.168923","type":"debug","z":"8a789b93.971048","name":"","active":true,"console":"false","complete":"labels","x":1250,"y":580,"wires":[]},{"id":"43586a1.f785394","type":"visual-recognition-v3","z":"8a789b93.971048","name":"","apikey":"5c542d6b5bf9ffe9306826d4a349e822a3d199fb","image-feature":"classifyImage","lang":"en","x":1030,"y":580,"wires":[["925bad00.148d5","1369aca2.168923"]]},{"id":"e1af2426.4580a8","type":"function","z":"8a789b93.971048","name":"set Classifier","func":"// initialise the counter to 0 if it doesn't exist already\nvar count = context.get('count')||0;\ncount += 1;\ncount %= 40;\n// store the value back\ncontext.set('count',count);\n// make it part of the outgoing msg object\nmsg.count = count;\n\nmsg.filename=\"Ship (\" + (count) + \").jpg\";\n\nmsg.params={};\nmsg.params[\"owners\"]=\"me\";\nmsg.params[\"classifier_ids\"]=\"onemast_261820213\";\nreturn msg;","outputs":1,"noerr":0,"x":930,"y":540,"wires":[["43586a1.f785394"]]},{"id":"84507345.eba42","type":"comment","z":"8a789b93.971048","name":"Image Analysis","info":"See corresponding Lab instructions in the link below :\n\n[Watson Visual Recognition](https://github.com/watson-developer-cloud/node-red-labs/tree/master/basic_examples/visual_recognition_v3)\n","x":140,"y":380,"wires":[]},{"id":"fb31cd6f.06a0e","type":"comment","z":"8a789b93.971048","name":"Website","info":"See corresponding Lab instructions in the link below :\n\n[Watson Visual Recognition](https://github.com/watson-developer-cloud/node-red-labs/tree/master/basic_examples/visual_recognition_v3)\n","x":710,"y":380,"wires":[]},{"id":"4c04fd78.593014","type":"dropbox","z":"8a789b93.971048","dropbox":"","filename":"ship_01.jpg","name":"ship_01.jpg","x":570,"y":1040,"wires":[["3baa842.ea01c7c"]]}]
McBrettner

Flow Info

created 4 months, 2 weeks ago

Node Types

Core
  • change (x7)
  • comment (x7)
  • debug (x14)
  • function (x21)
  • http in (x1)
  • http request (x1)
  • http response (x1)
  • inject (x24)
  • switch (x1)
  • template (x2)
Other

Tags

Copy this flow JSON to your clipboard and then import into Node-RED using the Import From > Clipboard (Ctrl-I) menu option