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| <!DOCTYPE html>
<html lang="fr">
<body>
<div class="classifyOnClick">
<img src="https://img.20mn.fr/Av_FclQ9Q1uqz4MbPgorbSk/960x614_actrice-natalie-portman" width="100%" crossorigin="anonymous" title="Click to get classification!" />
</div>
<div class="classifyOnClick">
<img src="https://cdn.glitch.com/74418d0b-3465-49a2-8c71-a721b7734473%2Fcats_flickr_publicdomain.jpg?v=1579294753947" width="100%" crossorigin="anonymous" title="Click to get classification!" />
</div>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js" type="text/javascript"></script>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/coco-ssd"></script>
<script>
const demosSection = document.getElementById('demos');
const imageContainers = document.getElementsByClassName('classifyOnClick');
var model = undefined;
cocoSsd.load().then(function (loadedModel) {
model = loadedModel;
for (let i = 0; i < imageContainers.length; i++) {
// si je clique sur une image
imageContainers[i].children[0].addEventListener('click', handleClick);
// affiche automatiquement le cadre dans chaque div
// handleClick(imageContainers[i]);
}
});
function handleClick(event) {
if (!model) {
console.log('Wait for model to load before clicking!');
return;
}
model.detect(event.target).then(function (predictions) {
console.log(predictions);
for (let n = 0; n < predictions.length; n++) {
// Description text
const p = document.createElement('p');
p.innerText = predictions[n].class + ' - with '
+ Math.round(parseFloat(predictions[n].score) * 100)
+ '% confidence.';
// Positioned at the top left of the bounding box.
// Height is whatever the text takes up.
// Width subtracts text padding in CSS so fits perfectly.
p.style = 'left: ' + predictions[n].bbox[0] + 'px;' +
'top: ' + predictions[n].bbox[1] + 'px; ' +
'width: ' + (predictions[n].bbox[2] - 10) + 'px;';
const highlighter = document.createElement('div');
highlighter.setAttribute('class', 'highlighter');
highlighter.style = 'left: ' + predictions[n].bbox[0] + 'px;' +
'top: ' + predictions[n].bbox[1] + 'px;' +
'width: ' + predictions[n].bbox[2] + 'px;' +
'height: ' + predictions[n].bbox[3] + 'px;';
event.target.parentNode.appendChild(highlighter);
event.target.parentNode.appendChild(p);
}
});
}
</script>
</body>
</html>
<style>
body {
font-family: helvetica, arial, sans-serif;
margin: 2em;
color: #3D3D3D;
}
h1 {
font-style: italic;
color: #FF6F00;
}
h2 {
clear: both;
}
em {
font-weight: bold;
}
video {
clear: both;
display: block;
}
section {
opacity: 1;
transition: opacity 500ms ease-in-out;
}
header, footer {
clear: both;
}
.removed {
display: none;
}
.invisible {
opacity: 0.2;
}
.note {
font-style: italic;
font-size: 130%;
}
.videoView, .classifyOnClick {
position: relative;
float: left;
width: 48%;
margin: 2% 1%;
cursor: pointer;
}
.videoView p, .classifyOnClick p {
position: absolute;
padding: 5px;
background-color: rgba(255, 111, 0, 0.85);
color: #FFF;
border: 1px dashed rgba(255, 255, 255, 0.7);
z-index: 2;
font-size: 12px;
margin: 0;
}
.highlighter {
background: rgba(0, 255, 0, 0.25);
border: 1px dashed #fff;
z-index: 1;
position: absolute;
}
.classifyOnClick {
z-index: 0;
}
.classifyOnClick img {
width: 100%;
}
</style> |
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