tracking.js实现前端人脸识别功能
编程学习 2021-07-04 15:02www.dzhlxh.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.com/
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;
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" 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.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" 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-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>
总结
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！