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Add example page with multiple detections and metadata #36

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179 changes: 179 additions & 0 deletions examples/multiple_detections.htm
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">

<script src="//mtschirs.github.io/js-objectdetect/examples/js/compatibility.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.eye.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.frontalcatface.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.frontalface_alt.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.frontalface.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.fullbody.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.handfist.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.handopen.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.mouth.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.profileface.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.smile.js"></script>
<script src="//mtschirs.github.io/js-objectdetect/js/objectdetect.upperbody.js"></script>

<script src="//mtschirs.github.io/js-objectdetect/examples/js/jquery.js"></script>

<style type="text/css">
label {
display: inline-block;
width: 200px;
}
</style>
<title>Multiple detections example</title>
</head>

<body>
<canvas id="canvas"></canvas>

<br>

<label><input id="eye-checkbox" type="checkbox" onclick="check('eye')">eye</label>
<label><input id="frontalcatface-checkbox" type="checkbox" onclick="check('frontalcatface')">frontalcatface</label>
<label><input id="frontalface_alt-checkbox" type="checkbox" onclick="check('frontalface_alt')">frontalface_alt</label><br>
<label><input id="frontalface-checkbox" type="checkbox" onclick="check('frontalface')">frontalface</label>
<label><input id="fullbody-checkbox" type="checkbox" onclick="check('fullbody')">fullbody</label>
<label><input id="handfist-checkbox" type="checkbox" onclick="check('handfist')">handfist</label><br>
<label><input id="handopen-checkbox" type="checkbox" onclick="check('handopen')">handopen</label>
<label><input id="mouth-checkbox" type="checkbox" onclick="check('mouth')">mouth</label>
<label><input id="profileface-checkbox" type="checkbox" onclick="check('profileface')">profileface</label><br>
<label><input id="smile-checkbox" type="checkbox" onclick="check('smile')">smile</label>
<label><input id="upperbody-checkbox" type="checkbox" onclick="check('upperbody')">upperbody</label>

<br>

<script>
function play() {
compatibility.requestAnimationFrame(function () {
setTimeout(play, LATENCY)
})

if (video.paused) {
video.play()
}

if (video.readyState !== video.HAVE_ENOUGH_DATA) {
return
}

/* Prepare the detectors once the video dimensions are known: */
if (!detectors) {
var width = ~~(80 * video.videoWidth / video.videoHeight)
var height = 80
detectors = DETECTORS.map(function (metaDetector) {
var detector = new objectdetect.detector(width, height, 1.1, objectdetect[metaDetector.detectorName])
detector.metadata = metaDetector
return detector
})

/* Draw video overlay: */
canvas.width = ~~(480 * video.videoWidth / video.videoHeight)
canvas.height = 480
}

context.drawImage(video, 0, 0, canvas.clientWidth, canvas.clientHeight)

detectors.forEach(function (detector) {
if (!detector.metadata.isActive) {
return
}
detector.detect(video, 1).forEach(function (coord) {
/* Rescale coordinates from detector to video coordinate space: */
coord[0] *= video.videoWidth / detector.canvas.width
coord[1] *= video.videoHeight / detector.canvas.height
coord[2] *= video.videoWidth / detector.canvas.width
coord[3] *= video.videoHeight / detector.canvas.height

/* Draw coordinates on video overlay: */
context.beginPath()
context.lineWidth = 2
context.rect(
coord[0] / video.videoWidth * canvas.clientWidth,
coord[1] / video.videoHeight * canvas.clientHeight,
coord[2] / video.videoWidth * canvas.clientWidth,
coord[3] / video.videoHeight * canvas.clientHeight
)

// Use the metadata previously set for custom rendering
context.strokeStyle = detector.metadata.frameColor
context.fillStyle = detector.metadata.frameColor
context.fillText(
detector.metadata.detectorName,
coord[0] / video.videoWidth * canvas.clientWidth,
coord[1] / video.videoHeight * canvas.clientHeight - 5
)

context.stroke()
})
})
}
</script>

<script>
var LATENCY = 1000 / 60
var DETECTORS = [
{ isActive: false, detectorName: 'eye', frameColor: 'red'}
, { isActive: false, detectorName: 'frontalcatface', frameColor: 'blue'}
, { isActive: false, detectorName: 'frontalface_alt', frameColor: 'green'}
, { isActive: true, detectorName: 'frontalface', frameColor: 'yellow'}
, { isActive: false, detectorName: 'fullbody', frameColor: 'pink'}
, { isActive: false, detectorName: 'handfist', frameColor: 'black'}
, { isActive: false, detectorName: 'handopen', frameColor: 'maroon'}
, { isActive: false, detectorName: 'mouth', frameColor: 'orange'}
, { isActive: false, detectorName: 'profileface', frameColor: 'teal'}
, { isActive: false, detectorName: 'smile', frameColor: 'sienna'}
, { isActive: false, detectorName: 'upperbody', frameColor: 'violet'}
]

var canvas = document.getElementById('canvas')
var context = canvas.getContext('2d')
var video = document.createElement('video')
var detectors = null

try {
compatibility.getUserMedia({ video: true }, function(stream) {
try {
video.src = compatibility.URL.createObjectURL(stream)
} catch (error) {
video.src = stream
}
compatibility.requestAnimationFrame(play)
}, function (error) {
alert("WebRTC not available")
})
} catch (error) {
alert(error)
}
</script>

<script type="text/javascript">
// This part is only dealing with checking/unchecking boxes
DETECTORS.forEach(function (detector) {
document.getElementById(detector.detectorName + '-checkbox').checked = detector.isActive
})

function check(what) {
var checkbox = document.getElementById(what + '-checkbox')
DETECTORS[({
'eye' : 0,
'frontalcatface' : 1,
'frontalface_alt': 2,
'frontalface' : 3,
'fullbody' : 4,
'handfist' : 5,
'handopen' : 6,
'mouth' : 7,
'profileface' : 8,
'smile' : 9,
'upperbody' : 10
})[what]].isActive = checkbox.checked
}
</script>
</body>
</html>