EmotionClassify/index.html at master · ryanching/EmotionClassify · GitHub

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<!doctype html>
<html lang="en">
	<head>
		<title>Face tracker</title>
		<meta charset="utf-8">
		<link href="/examples/styles/bootstrap.min.css" rel="stylesheet" type="text/css">
		<style>
			@import url(https://fonts.googleapis.com/css?family=Lato:300italic,700italic,300,700);

			body {
				font-family: 'Lato';
				background-color: #f0f0f0;
				margin: 0px auto;
				max-width: 1150px;
			}

			#overlay {
				position: absolute;
				top: 0px;
				left: 0px;
				-o-transform : scaleX(-1);
				-webkit-transform : scaleX(-1);
				transform : scaleX(-1);
				-ms-filter : fliph; /*IE*/
				filter : fliph; /*IE*/
			}

			#videoel {
				-o-transform : scaleX(-1);
				-webkit-transform : scaleX(-1);
				transform : scaleX(-1);
				-ms-filter : fliph; /*IE*/
				filter : fliph; /*IE*/
			}

			#container {
				position : relative;
				width : 370px;
				/*margin : 0px auto;*/
			}

			#content {
				margin-top : 70px;
				margin-left : 100px;
				margin-right : 100px;
				max-width: 950px;
			}

			h2 {
				font-weight : 400;
			}

			.nogum {
				display : none;
			}

			.btn {
				font-family: 'Lato';
				font-size: 16px;
			}

			.hide {
				display : none;
			}

			.nohide {
				display : block;
			}

			#emotion_container {
				width: 600px;
			}

			#emotion_icons {
				height: 50px;
				padding-left: 40px;
			}

			.emotion_icon {
				width : 40px;
				height : 40px;
				margin-top: 5px;
				/*margin-left : 13px;*/
				margin-left : 18px;
			}

			#emotion_chart, #emotion_icons {
				margin: 0 auto;
				width : 500px;
			}

			#icon1, #icon2, #icon3, #icon4, #icon5, #icon6, #icon7 {
				/*visibility : hidden;*/
				visibility : visible;
			}

			/* d3 */
			.bar {
				fill : steelblue;
				fill-opacity : .9;
			}

		</style>
		<script>
			// getUserMedia only works over https in Chrome 47+, so we redirect to https. Also notify user if running from file.
			if (window.location.protocol == "file:") {
				alert("You seem to be running this example directly from a file. Note that these examples only work when served from a server or localhost due to canvas cross-domain restrictions.");
			} else if (window.location.hostname !== "localhost" && window.location.protocol !== "https:"){
				window.location.protocol = "https";
			}
		</script>
		<script type="text/javascript">

			var _gaq = _gaq || [];
			_gaq.push(['_setAccount', 'UA-32642923-1']);
			_gaq.push(['_trackPageview']);

			(function() {
				var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true;
				ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js';
				var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s);
			})();

		</script>
	</head>
	<body>
		<div id="content">
			<h2>Emotion SVM Classifier</h2>
			<div id="emotion_container">
				<div id="emotion_icons">
					<img class="emotion_icon" id="icon1" src="/media/icon_anger.png">
					<img class="emotion_icon" id="icon2" src="/media/icon_contempt.png">
					<img class="emotion_icon" id="icon3" src="/media/icon_disgust.png">
					<img class="emotion_icon" id="icon4" src="/media/icon_fear.png">
					<img class="emotion_icon" id="icon5" src="/media/icon_happy.png">
					<img class="emotion_icon" id="icon6" src="/media/icon_sadness.png">
					<img class="emotion_icon" id="icon7" src="/media/icon_surprise.png">
				</div>
				<div id='emotion_chart'></div>
			</div>
			<div id="container">
				<video id="videoel" width="400" height="300" preload="auto" loop playsinline autoplay>
				</video>
				<canvas id="overlay" width="400" height="300"></canvas>
			</div>
			<br/>
			<input class="btn" type="button" value="wait, loading video" disabled="disabled" onclick="startVideo()" id="startbutton"></input>
			<div id="text">

				<div id="gum" class="gum">
					<p>To try it out:
						<ol>
							<li>allow the page to use your webcamera</li>
							<li>make sure that your face is clearly visible in the video, and click start</li>
							<li>see the model fitted to your face</li>
						<ol>
					</p>
				</div>
				<div id="nogum" class="nogum">
					<p>
						There was some problem trying to capture your webcamera, please check that your browser supports WebRTC. Using a fallback video instead. To try it out:
						<ol>
							<li>click start</li>
							<li>see the model fitted to the face</li>
						</ol>
					</p>
				</div>
			</div>

      <script src="/js/libs/utils.js"></script>
  		<script src="/js/clmtrackr.js"></script>
  		<script src="/js/libs/Stats.js"></script>
      <script src="/js/socket.io.js"></script>
      <script src="/js/jquery-1.11.1.js"></script>
      <script src="./js/libs/d3.min.js"></script>


      <script>
      	var emotions = ['neutral', 'anger', 'contempt', 'disgust', 'fear', 'happy', 'sadness', 'surprise'];

		var margin = {top : 20, right : 20, bottom : 10, left : 40},
			width = 500 - margin.left - margin.right,
			height = 100 - margin.top - margin.bottom;

		var barWidth = 30;

		var formatPercent = d3.format(".0%");

		var x = d3.scale.linear()
			.domain([0, 7]).range([margin.left, width+margin.left]);

		var y = d3.scale.linear()
					.domain([0,1]).range([0, height]);

		var svg = d3.select("#emotion_chart").append("svg")
					.attr("width", width + margin.left + margin.right)
					.attr("height", height + margin.top + margin.bottom)

		var blank_init = [];
		for (var j = 0;j < emotions.length-1;j++) {
			blank_init[j] = {"emotion" : emotions[j+1], "value" : 0.0};
		}

		svg.selectAll("rect").
			data(blank_init).
			enter().
			append("svg:rect").
			attr("x", function(datum, index) { return x(index); }).
			attr("y", function(datum) { return height - y(datum.value); }).
			attr("height", function(datum) { return y(datum.value); }).
			attr("width", barWidth).
			attr("fill", "#2d578b");

		svg.selectAll("text.labels").
			data(blank_init).
			enter().
			append("svg:text").
			attr("x", function(datum, index) { return x(index) + barWidth; }).
			attr("y", function(datum) { return height - y(datum.value); }).
			attr("dx", -barWidth/2).
			attr("dy", "1.2em").
			attr("text-anchor", "middle").
			text(function(datum) { return datum.value;}).
			attr("fill", "white").
			attr("class", "labels");

		svg.selectAll("text.yAxis").
			data(blank_init).
			enter().append("svg:text").
			attr("x", function(datum, index) { return x(index) + barWidth; }).
			attr("y", height).
			attr("dx", -barWidth/2).
			attr("text-anchor", "middle").
			attr("style", "font-size: 12").
			text(function(datum) { return datum.emotion;}).
			attr("transform", "translate(0, 18)").
			attr("class", "yAxis");


        var socket = io();
        socket.emit('init', "Socket Initialized");

        //RYAN listen for feature point response from node server and output response
        socket.on('featurePointsResponse', function(prob){
			var emotionData = []
			for (var j=0; j< emotions.length-1; j++){
				emotionData[j] = {"emotion" : emotions[j+1], "value" : prob[String(j+1)]};
			}

			for (var i = 0;i < emotionData.length;i++) {
				if (emotionData[i].value > 0.3) {
					document.getElementById('icon'+(i+1)).style.visibility = 'visible';
				} else {
					document.getElementById('icon'+(i+1)).style.visibility = 'hidden';
				}
			}

			// update
			var rects = svg.selectAll("rect")
				.data(emotionData)
				.attr("y", function(datum) { return height - y(datum.value); })
				.attr("height", function(datum) { return y(datum.value); });
			var texts = svg.selectAll("text.labels")
				.data(emotionData)
				.attr("y", function(datum) { return height - y(datum.value); })
				.text(function(datum) { return datum.value.toFixed(1);});

			// enter
			rects.enter().append("svg:rect");
			texts.enter().append("svg:text");

			// exit
			rects.exit().remove();
			texts.exit().remove();
        });
      </script>


			<script>
				var vid = document.getElementById('videoel');
				var vid_width = vid.width;
				var vid_height = vid.height;
				var overlay = document.getElementById('overlay');
				var overlayCC = overlay.getContext('2d');

				/*********** Setup of video/webcam and checking for webGL support *********/

				function enablestart() {
					var startbutton = document.getElementById('startbutton');
					startbutton.value = "start";
					startbutton.disabled = null;
				}

				var insertAltVideo = function(video) {
					// insert alternate video if getUserMedia not available
					if (supports_video()) {
						if (supports_webm_video()) {
							video.src = "./media/cap12_edit.webm";
						} else if (supports_h264_baseline_video()) {
							video.src = "./media/cap12_edit.mp4";
						} else {
							return false;
						}
						return true;
					} else return false;
				}

				function adjustVideoProportions() {
					// resize overlay and video if proportions of video are not 4:3
					// keep same height, just change width
					var proportion = vid.videoWidth/vid.videoHeight;
					vid_width = Math.round(vid_height * proportion);
					vid.width = vid_width;
					overlay.width = vid_width;
				}

				function gumSuccess( stream ) {
					// add camera stream if getUserMedia succeeded
					if ("srcObject" in vid) {
						vid.srcObject = stream;
					} else {
						vid.src = (window.URL && window.URL.createObjectURL(stream));
					}
					vid.onloadedmetadata = function() {
						adjustVideoProportions();
						vid.play();
					}
					vid.onresize = function() {
						adjustVideoProportions();
						if (trackingStarted) {
							ctrack.stop();
							ctrack.reset();
							ctrack.start(vid);
						}
					}
				}

				function gumFail() {
					// fall back to video if getUserMedia failed
					insertAltVideo(vid);
					document.getElementById('gum').className = "hide";
					document.getElementById('nogum').className = "nohide";
					alert("There was some problem trying to fetch video from your webcam, using a fallback video instead.");
				}

				navigator.getUserMedia = navigator.getUserMedia || navigator.webkitGetUserMedia || navigator.mozGetUserMedia || navigator.msGetUserMedia;
				window.URL = window.URL || window.webkitURL || window.msURL || window.mozURL;

				// set up video
				if (navigator.mediaDevices) {
					navigator.mediaDevices.getUserMedia({video : true}).then(gumSuccess).catch(gumFail);
				} else if (navigator.getUserMedia) {
					navigator.getUserMedia({video : true}, gumSuccess, gumFail);
				} else {
					insertAltVideo(vid);
					document.getElementById('gum').className = "hide";
					document.getElementById('nogum').className = "nohide";
					alert("Your browser does not seem to support getUserMedia, using a fallback video instead.");
				}
				vid.addEventListener('canplay', enablestart, false);

				//Code for face tracking
				var ctrack = new clm.tracker();
				ctrack.init();
				var trackingStarted = false;

				function startVideo() {
					// start video
					vid.play();
					// start tracking
					ctrack.start(vid);
					trackingStarted = true;
					// start loop to draw face
					drawLoop();
				}

				function drawLoop() {
					requestAnimFrame(drawLoop);
					overlayCC.clearRect(0, 0, vid_width, vid_height);
					if (ctrack.getCurrentPosition()) {
            		//pass facial feature points to server to classification
            		socket.emit('featurePoints', ctrack.getCurrentPosition());
					ctrack.draw(overlay);
					}
				}

				stats = new Stats();
				stats.domElement.style.position = 'absolute';
				stats.domElement.style.top = '0px';
				document.getElementById('container').appendChild( stats.domElement );

				// update stats on every iteration
				document.addEventListener('clmtrackrIteration', function(event) {
					stats.update();
				}, false);

			</script>
		</div>
	</body>
</html>