1.下载

2.运行例子

在这里插入图片描述

纳总一下
在这里插入图片描述
发现效果

里面的代码为

<!doctype html>
<html>
<head>
  <meta charset="utf-8">
  <title>tracking.js - face hello world</title>
  <link rel="stylesheet" href="assets/demo.css">

  <script src="build/tracking-min.js"></script>
  <script src="build/data/face-min.js"></script>
  <script src="build/data/eye-min.js"></script>
  <script src="build/data/mouth-min.js"></script>

  <style>
  .rect {
    border: 2px solid #a64ceb;
    left: -1000px;
    position: absolute;
    top: -1000px;
  }

  #img {
    position: absolute;
    top: 50%;
    left: 50%;
    margin: -173px 0 0 -300px;
  }
  </style>
</head>
<body>
 <!--  <div class="demo-title">
    <p><a href="http://trackingjs.com" target="_parent">tracking.js</a> － detect faces, eyes and mouths in a image</p>
  </div>
 -->
 <!--  <div class="demo-frame"> -->
    <div class="demo-container">
      <img id="img" src="
     http://img3.imgtn.bdimg.com/it/u=2939771753,2928311039&fm=214&gp=0.jpg
      " />
    </div>
<!--   </div> -->

  <script>
    window.onload = function() {
      var img = document.getElementById('img');

      var tracker = new tracking.ObjectTracker(['face', 'eye', 'mouth']);
      tracker.setStepSize(1.7);

      tracking.track('#img', tracker);

      tracker.on('track', function(event) {
        event.data.forEach(function(rect) {
          window.plot(rect.x, rect.y, rect.width, rect.height);
        });
      });

      window.plot = function(x, y, w, h) {
        var rect = document.createElement('div');
        document.querySelector('.demo-container').appendChild(rect);
        rect.classList.add('rect');
        rect.style.width = w + 'px';
        rect.style.height = h + 'px';
        rect.style.left = (img.offsetLeft + x) + 'px';
        rect.style.top = (img.offsetTop + y) + 'px';
      };
    };
  </script>

</body>
</html>

这里要注意，人脸必须是解决跨域了的，读取本地图片可能会包跨域问题

读取摄像头

<!doctype html>
<html>
<head>
  <meta charset="utf-8">
  <title>tracking.js - face with camera</title>
  <link rel="stylesheet" href="assets/demo.css">

  <script src="build/tracking-min.js"></script>
  <script src="build/data/face-min.js"></script>
   <script src="node_modules/dat.gui/build/dat.gui.min.js"></script>
  <script src="assets/stats.min.js"></script>

  <style>
  video, canvas {
    margin-left: 230px;
    margin-top: 120px;
    position: absolute;
  }
  </style>
</head>
<body>
  <div class="demo-frame">
    <div class="demo-container">
      <video id="video" width="320" height="240" preload autoplay loop muted></video>
      <canvas id="canvas" width="320" height="240"></canvas>
    </div>
  </div>

  <script>
    window.onload = function() {
      var video = document.getElementById('video');
      var canvas = document.getElementById('canvas');
      var context = canvas.getContext('2d');

      var tracker = new tracking.ObjectTracker('face');
      tracker.setInitialScale(4);
      tracker.setStepSize(2);
      tracker.setEdgesDensity(0.1);

      tracking.track('#video', tracker, { camera: true });

      tracker.on('track', function(event) {
        context.clearRect(0, 0, canvas.width, canvas.height);

        event.data.forEach(function(rect) {
          context.strokeStyle = '#a64ceb';
          context.strokeRect(rect.x, rect.y, rect.width, rect.height);
          context.font = '11px Helvetica';
          context.fillStyle = "#fff";
          context.fillText('x: ' + rect.x + 'px', rect.x + rect.width + 5, rect.y + 11);
          context.fillText('y: ' + rect.y + 'px', rect.x + rect.width + 5, rect.y + 22);
        });
      });

      var gui = new dat.GUI();
      gui.add(tracker, 'edgesDensity', 0.1, 0.5).step(0.01);
      gui.add(tracker, 'initialScale', 1.0, 10.0).step(0.1);
      gui.add(tracker, 'stepSize', 1, 5).step(0.1);
    };
  </script>

</body>
</html>

读取即可

tracking.js实现前端人脸识别

1.下载

2.运行例子

读取摄像头

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