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Google Cloud Vision API testing from Frontend
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>vision-test</title> | |
| <script src="libraries/p5.js" type="text/javascript"></script> | |
| <script src="libraries/p5.dom.js" type="text/javascript"></script> | |
| <script src="libraries/p5.sound.js" type="text/javascript"></script> | |
| <script src="//code.jquery.com/jquery-2.2.1.min.js"></script> | |
| <script src="//cdnjs.cloudflare.com/ajax/libs/javascript-canvas-to-blob/3.3.0/js/canvas-to-blob.min.js"></script> | |
| <script src="sketch.js" type="text/javascript"></script> | |
| <style> body {padding: 0; margin: 0;} canvas {vertical-align: top;} </style> | |
| </head> | |
| <body> | |
| </body> | |
| </html> |
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| var request, output; | |
| var capture; | |
| var w = 640, h = 480; | |
| function setup() { | |
| capture = createCapture(VIDEO); | |
| createCanvas(w, h); | |
| capture.size(w, h); | |
| capture.hide(); | |
| } | |
| function blobToBase64(blob, cb) { | |
| var reader = new window.FileReader(); | |
| reader.readAsDataURL(blob); | |
| reader.onloadend = function() { | |
| cb(reader.result); | |
| } | |
| } | |
| function canvasToBase64(canvas, cb) { | |
| canvas.toBlob(function(blob) { | |
| blobToBase64(blob, cb); | |
| }, 'image/jpeg'); | |
| } | |
| function upload() { | |
| canvasToBase64(canvas, function(b64) { | |
| b64 = b64.replace('data:image/jpeg;base64,', ''); // remove content type | |
| request = { | |
| "requests":[ | |
| { | |
| "image":{ "content": b64 }, | |
| "features":[ | |
| { | |
| // if you want to detect more faces, or detect something else, change this | |
| "type":"FACE_DETECTION", | |
| "maxResults":1 | |
| } | |
| ] | |
| } | |
| ] | |
| }; | |
| $.ajax({ | |
| method: 'POST', | |
| url: 'https://vision.googleapis.com/v1/images:annotate?key=<API-KEY>', | |
| contentType: 'application/json', | |
| data: JSON.stringify(request), | |
| processData: false, | |
| success: function(data){ | |
| output = data; | |
| var faceData = data.responses[0].faceAnnotations[0]; | |
| console.log('joy: ' + faceData.joyLikelihood); | |
| console.log('sorrow: ' + faceData.sorrowLikelihood); | |
| console.log('anger: ' + faceData.angerLikelihood); | |
| console.log('surprise: ' + faceData.surpriseLikelihood); | |
| }, | |
| error: function (data, textStatus, errorThrown) { | |
| console.log('error: ' + data); | |
| } | |
| }) | |
| }) | |
| } | |
| function draw() { | |
| // whatever you draw here will be uploaded to google when you call upload() | |
| image(capture, 0, 0, w, h); | |
| } | |
| function mousePressed() { | |
| upload(); | |
| } |
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