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Here you can Sed posuere consectetur est at lobortis. Donec ullamcorper nulla non metus auctor fringilla. Maecenas sed diam eget risus varius blandit sit amet non magna. Donec id elit non mi porta gravida at eget metus. Praesent commodo cursus magna, vel scelerisque nisl consectetur et.

            
              <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no">
<body>
  <div id="container">
    <canvas class="center-block" id="canvasOutput" width=320 height=240></canvas>
  </div>
  <div class="text-center">
    <input type="checkbox" id="face" name="classifier" value="face" checked>
    <label for="face">face</label>
    <input type="checkbox" id="eye" name="cascade" value="eye">
    <label for="eye">eye</label>
  </div>
  <div class="invisible">
    <video id="video" class="hidden">Your browser does not support the video tag.</video>
  </div>
</div>
</body>
<script src="https://webrtc.github.io/adapter/adapter-latest.js"></script>
<script src="https://threejs.org/examples/js/libs/stats.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dat-gui/0.6.5/dat.gui.min.js"></script>
<script>
  var Module = {
     wasmBinaryFile: 'https://huningxin.github.io/opencv.js/build/wasm/opencv_js.wasm',
    preRun: [function() {
      Module.FS_createPreloadedFile('/', 'haarcascade_eye.xml', 'https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_eye.xml', true, false);
      Module.FS_createPreloadedFile('/', 'haarcascade_frontalface_default.xml', 'https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_frontalface_default.xml', true, false);
      Module.FS_createPreloadedFile('/', 'haarcascade_profileface.xml', 'https://raw.githubusercontent.com/opencv/opencv/master/data/haarcascades/haarcascade_profileface.xml', true, false);
    }],
    _main: function() {opencvIsReady();}
  };
</script>
<script async src="https://huningxin.github.io/opencv.js/build/wasm/opencv.js"></script>

            
          
!
            
              canvas {
  border: 1px solid black;
}
.invisible {
  display: none;
}
.text-center {
  text-align: center;
}
div {
  margin: 10px;
}
.center-block {
  display: block;
  margin: auto;
}
label {
  padding-right: 10px;
  width: 25%;
  vertical-align: top;
  font: 16px 'Lucida Grande', sans-serif;
}
            
          
!
            
              let videoWidth, videoHeight;

// whether streaming video from the camera.
let streaming = false;

let video = document.getElementById('video');
let canvasOutput = document.getElementById('canvasOutput');
let canvasOutputCtx = canvasOutput.getContext('2d');
let stream = null;

let detectFace = document.getElementById('face');
let detectEye = document.getElementById('eye');

function startCamera() {
  if (streaming) return;
  navigator.mediaDevices.getUserMedia({video: true, audio: false})
    .then(function(s) {
    stream = s;
    video.srcObject = s;
    video.play();
  })
    .catch(function(err) {
    console.log("An error occured! " + err);
  });

  video.addEventListener("canplay", function(ev){
    if (!streaming) {
      videoWidth = video.videoWidth;
      videoHeight = video.videoHeight;
      video.setAttribute("width", videoWidth);
      video.setAttribute("height", videoHeight);
      canvasOutput.width = videoWidth;
      canvasOutput.height = videoHeight;
      streaming = true;
    }
    startVideoProcessing();
  }, false);
}

let faceClassifier = null;
let eyeClassifier = null;

let src = null;
let dstC1 = null;
let dstC3 = null;
let dstC4 = null;

let canvasInput = null;
let canvasInputCtx = null;

let canvasBuffer = null;
let canvasBufferCtx = null;

function startVideoProcessing() {
  if (!streaming) { console.warn("Please startup your webcam"); return; }
  stopVideoProcessing();
  canvasInput = document.createElement('canvas');
  canvasInput.width = videoWidth;
  canvasInput.height = videoHeight;
  canvasInputCtx = canvasInput.getContext('2d');
  
  canvasBuffer = document.createElement('canvas');
  canvasBuffer.width = videoWidth;
  canvasBuffer.height = videoHeight;
  canvasBufferCtx = canvasBuffer.getContext('2d');
  
  srcMat = new cv.Mat(videoHeight, videoWidth, cv.CV_8UC4);
  grayMat = new cv.Mat(videoHeight, videoWidth, cv.CV_8UC1);
  
  faceClassifier = new cv.CascadeClassifier();
  faceClassifier.load('haarcascade_frontalface_default.xml');
  
  eyeClassifier = new cv.CascadeClassifier();
  eyeClassifier.load('haarcascade_eye.xml');
  
  requestAnimationFrame(processVideo);
}

function processVideo() {
  stats.begin();
  canvasInputCtx.drawImage(video, 0, 0, videoWidth, videoHeight);
  let imageData = canvasInputCtx.getImageData(0, 0, videoWidth, videoHeight);
  srcMat.data.set(imageData.data);
  cv.cvtColor(srcMat, grayMat, cv.COLOR_RGBA2GRAY);
  let faces = [];
  let eyes = [];
  let size;
  if (detectFace.checked) {
    let faceVect = new cv.RectVector();
    let faceMat = new cv.Mat();
    if (detectEye.checked) {
      cv.pyrDown(grayMat, faceMat);
      size = faceMat.size();
    } else {
      cv.pyrDown(grayMat, faceMat);
      cv.pyrDown(faceMat, faceMat);
      size = faceMat.size();
    }
    faceClassifier.detectMultiScale(faceMat, faceVect);
    for (let i = 0; i < faceVect.size(); i++) {
      let face = faceVect.get(i);
      faces.push(new cv.Rect(face.x, face.y, face.width, face.height));
      if (detectEye.checked) {
        let eyeVect = new cv.RectVector();
        let eyeMat = faceMat.getRoiRect(face);
        eyeClassifier.detectMultiScale(eyeMat, eyeVect);
        for (let i = 0; i < eyeVect.size(); i++) {
          let eye = eyeVect.get(i);
          eyes.push(new cv.Rect(face.x + eye.x, face.y + eye.y, eye.width, eye.height));
        }
        eyeMat.delete();
        eyeVect.delete();
      }
    }
    faceMat.delete();
    faceVect.delete();
  } else {
    if (detectEye.checked) {
      let eyeVect = new cv.RectVector();
      let eyeMat = new cv.Mat();
      cv.pyrDown(grayMat, eyeMat);
      size = eyeMat.size();
      eyeClassifier.detectMultiScale(eyeMat, eyeVect);
      for (let i = 0; i < eyeVect.size(); i++) {
        let eye = eyeVect.get(i);
        eyes.push(new cv.Rect(eye.x, eye.y, eye.width, eye.height));
      }
      eyeMat.delete();
      eyeVect.delete();
    }
  }
  canvasOutputCtx.drawImage(canvasInput, 0, 0, videoWidth, videoHeight);
  drawResults(canvasOutputCtx, faces, 'red', size);
  drawResults(canvasOutputCtx, eyes, 'yellow', size);
  stats.end();
  requestAnimationFrame(processVideo);
}

function drawResults(ctx, results, color, size) {
  for (let i = 0; i < results.length; ++i) {
    let rect = results[i];
    let xRatio = videoWidth/size.width;
    let yRatio = videoHeight/size.height;
    ctx.lineWidth = 3;
    ctx.strokeStyle = color;
    ctx.strokeRect(rect.x*xRatio, rect.y*yRatio, rect.width*xRatio, rect.height*yRatio);
  }
}

function stopVideoProcessing() {
  if (src != null && !src.isDeleted()) src.delete();
  if (dstC1 != null && !dstC1.isDeleted()) dstC1.delete();
  if (dstC3 != null && !dstC3.isDeleted()) dstC3.delete();
  if (dstC4 != null && !dstC4.isDeleted()) dstC4.delete();
}

function stopCamera() {
  if (!streaming) return;
  stopVideoProcessing();
  document.getElementById("canvasOutput").getContext("2d").clearRect(0, 0, width, height);
  video.pause();
  video.srcObject=null;
  stream.getVideoTracks()[0].stop();
  streaming = false;
}

function initUI() {
  stats = new Stats();
  stats.showPanel(0);
  document.getElementById('container').appendChild(stats.dom);
}

function opencvIsReady() {
  console.log('OpenCV.js is ready');
  initUI();
  startCamera();
}
            
          
!
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