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face tracking with clmtrackr.js + p5.js
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| //////////////////////////////////////////////////////////////////// | |
| //// clmtrackr | |
| <html> | |
| <head> | |
| <script src="clmtrackr.js"></script> | |
| <script src="models/model_pca_20_svm.js"></script> | |
| <script src="p5.js"></script> | |
| <script src="p5.dom.js"></script> | |
| <script> | |
| var ctracker; | |
| function setup() { | |
| // setup camera capture | |
| var videoInput = createCapture(VIDEO); | |
| videoInput.size(400, 300); | |
| videoInput.position(0, 0); | |
| // setup canvas | |
| var cnv = createCanvas(400, 300); | |
| cnv.position(0, 0); | |
| // setup tracker | |
| ctracker = new clm.tracker(); | |
| ctracker.init(pModel); | |
| ctracker.start(videoInput.elt); | |
| noStroke(); | |
| } | |
| function draw() { | |
| clear(); | |
| // get array of face marker positions [x, y] format | |
| var positions = ctracker.getCurrentPosition(); | |
| for (var i=0; i<positions.length; i++) { | |
| // set the color of the ellipse based on position on screen | |
| fill(map(positions[i][0], width*0.33, width*0.66, 0, 255), map(positions[i][1], height*0.33, height*0.66, 0, 255), 255); | |
| // draw ellipse at each position point | |
| ellipse(positions[i][0], positions[i][1], 8, 8); | |
| } | |
| } | |
| </script> | |
| <style> body { padding: 0; margin: 0} </style> | |
| </head> | |
| <body> | |
| </body> | |
| </html> | |
| //////////////////////////////////////////////////////////////////// | |
| //// sound / mouth | |
| function preload() { | |
| mouthSound = loadSound('scream.mp3'); | |
| } | |
| // setup | |
| mouthSound.loop(); | |
| mouthSound.setVolume(0); | |
| // draw | |
| if(positions.length > 0) { | |
| var mouthH = positions[57][1] - positions[60][1]; | |
| var faceH = positions[7][1] - positions[33][1]; | |
| var mouthR = mouthH/faceH; | |
| var v = constrain(map(mouthR, 0.05, 0.25, 0, 10), 0, 10); | |
| mouthSound.setVolume(v); | |
| } | |
| //////////////////////////////////////////////////////////////////// | |
| //// mouth / tts | |
| if (mouthR > 0.1) { | |
| var u = new SpeechSynthesisUtterance(t); | |
| speechSynthesis.speak(u); | |
| } else { | |
| speechSynthesis.cancel(); | |
| } | |
| //////////////////////////////////////////////////////////////////// | |
| //// emotion / tts | |
| // setup | |
| ec = new emotionClassifier(); | |
| ec.init(emotionModel); | |
| emotionData = ec.getBlank(); | |
| // draw | |
| var cp = ctracker.getCurrentParameters(); | |
| var er = ec.meanPredict(cp); | |
| for (var i=0; i<er.length; i++) { | |
| text(er[i].emotion+' '+nfc(er[i].value, 2), 20, (i+1)*30); | |
| } |
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