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<!DOCTYPE html>
<html>
<head>
  <meta charset="utf-8">
  <meta name="viewport" content="width=device-width">
  <title>JS Bin</title>
</head>
<body>
  
<div>
    <img id=image hidden crossorigin="anonymous" src="https://upload.wikimedia.org/wikipedia/commons/thumb/7/7a/Google_team_group_photo_with_Vanhanen.jpg/640px-Google_team_group_photo_with_Vanhanen.jpg" >
 <br>
  <canvas id="canvas" width=640 height=480 style="width: 100%;"></canvas>
</div>
  
<button id="detect" onclick="detect()"  class="btn btn-lg btn-primary">Detect faces</button>
  <footer></footer>
</body>
</html>
 
body {
  display: flex;flex-direction: column;
  text-align: center;
}
 
var image = document.getElementById('image');
var canvas = document.getElementById('canvas');
var ctx = canvas.getContext("2d");
var scale = 1;
image.onload = function() {
  ctx.drawImage(image, 
              0, 0, image.width, image.height,
              0, 0, canvas.width, canvas.height);
  scale = canvas.width / image.width;
};
function detect() {
  if (window.FaceDetector == undefined) {
    console.error('Face Detection not supported');
    return;
  }
  
  var faceDetector = new FaceDetector();
  faceDetector.detect(image)
    .then(faces => {
      // Draw the faces on the <canvas>.
      var ctx = canvas.getContext("2d");
      ctx.lineWidth = 2;
      ctx.strokeStyle = "red";
      for(var i = 0; i < faces.length; i++) {
        ctx.rect(Math.floor(faces[i].x * scale), 
                 Math.floor(faces[i].y * scale),
                 Math.floor(faces[i].width * scale), 
                 Math.floor(faces[i].height * scale));
        ctx.stroke();
      }
      // Add the faces as strings to the <footer>
      var footer = document.getElementsByTagName('footer')[0];
      footer.innerHTML = 
          '<p>Detected ' + faces.length + ' faces</p><ul>';
      for(var i = 0; i < faces.length; i++) {
        footer.innerHTML += 
            '<li>@ (' + faces[i].x + ',' + faces[i].y + '), size ' + 
            faces[i].width + 'x' + faces[i].height + '</li>';
      }
      footer.innerHTML += '</ul>';
  
    })
    .catch((e) => {
      console.error("Boo, Face Detection failed: " + e);
    });
}
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kinlanpro
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