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tracking.js实现前端人脸识别功能

网络编程 2021-07-04 15:02www.168986.cn编程入门
这篇文章主要介绍了tracking.js实现前端人脸识别功能，本文通过实例代码截图的形式给大家展示的非常详细，对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下

1.下载

https://trackingjs./

2.运行例子

纳总一下

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" rel="external nofollow" rel="external nofollow" >

 <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;
  : -1000px;
 }

 #img {
  position: absolute;
  : 50%;
  left: 50%;
  margin: -173px 0 0 -300px;
 }
 </style>
</head>
<body>
 <!-- <div class="demo-title">
  <p><a href="http://trackingjs." rel="external nofollow" 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./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. = (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" rel="external nofollow" rel="external nofollow" >

 <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-: 120px;
  position: absolute;
 }
 </style>
</head>
<body>
 <div class="demo-frame">
  <div class="demo-container">
   <video id="video" width="320" height="240" preload aulay 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>

到此这篇关于tracking.js实现前端人脸识别功能的文章就介绍到这了,更多相关tracking.js人脸识别内容请搜索狼蚁SEO以前的文章或继续浏览狼蚁网站SEO优化的相关文章希望大家以后多多支持狼蚁SEO！

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