Vue+tracking.js 实现前端人脸检测功能

项目中需要实现人脸登陆功能，实现思路为在前端检测人脸，把人脸照片发送到后端识别，返回用户token登陆成功

前端调用摄像头使用tracking.js检测视频流中的人脸，检测到人脸后拍照上传后端。

后端使用face_recognition人脸识别库，使用flask提供restfulap供前端调用

实现效果如下图：

登陆界面：

摄像头检测人脸界面：

前端代码如下：

<template>
 <div id="facelogin">
 <h1 class="title is-1">{{faceisdetected}}</h1>
 <!-- <p>{{faceisdetected}}</p> -->
 <div class="content-cam">
 <div class="camera-wrp sec">
 <video width="320" height="320" ref="videodom" id="video_cam" preload autoplay loop muted></video>
 <canvas width="320" height="320" ref="canvasdom" id="face_detect"></canvas>
 <div class="control-btn"></div>
 </div>
 <div class="images-wrp sec">
 <!-- <p class="title is-5">image taken</p> -->
 <div
  :class="`img-item img-item-${index}`"
  v-for="(image, index) in images"
  :key="`img-wrp-${index}`"
  :style="`background-image: url('${image}')`"
 ></div>
 </div>
 </div>
 </div>
</template>

export default {
name: 'facelogin',
data() {
return {
count: 0,
isdetected: '请您保持脸部在画面*',
videoel: {},
canvasel: {},
images: [],
trackccv: false,
tracktracking: false,
autocapturetracktraking: false,
usermediaconstraints: {
audio: false,
video: {
// ideal（应用最理想的）
width: {
min: 320,
ideal: 1280,
max: 1920
},
height: {
min: 240,
ideal: 720,
max: 1080
},
// framerate受限带宽传输时，低帧率可能更适宜
framerate: {
min: 15,
ideal: 30,
max: 60
},
// 摄像头翻转
facingmode: 'user'
}
}
}
},
computed: {
faceisdetected() {
return this.isdetected
}
},
created() {
this.changeview()
},

 mounted() {
 // the getusermedia interface is used for handling camera input.
 // some browsers need a prefix so here we're covering all the options
 navigator.getmedia =
 navigator.getusermedia ||
 navigator.webkitgetusermedia ||
 navigator.mozgetusermedia ||
 navigator.msgetusermedia
 this.init()
 },
 methods: {
 async init() {
 this.videoel = this.$refs.videodom
 this.canvasel = this.$refs.canvasdom
 await navigator.mediadevices
 .getusermedia(this.usermediaconstraints)
 .then(this.getmediastreamsuccess)
 .catch(this.getmediastreamerror)
 await this.onplay()
 },
 async onplay() {
 debughelper.log('onplay')


 this.ontracktracking()
 },
 changeview() {
 this.settitle('刷脸登陆')
 this.setbackdisabled(false)
 this.setbackicon('arrow_back')
 msgbus.vm.setbottomnavvisible(false)
 msgbus.vm.setbottombtnvisible(false)
 msgbus.vm.setmsginputvisible({ value: false })
 },


 ontracktracking() {
 const context = this
 const video = this.videoel
 const canvas = this.canvasel
 const canvascontext = canvas.getcontext('2d')
 let tracker = new tracking.objecttracker('face')


 video.pause()
 video.src = ''
 tracker.setinitialscale(4)
 tracker.setstepsize(2)
 tracker.setedgesdensity(0.1)
 tracking.track('#video_cam', tracker, { camera: true })
 tracker.on('track', function(event) {
 const { autocapturetracktraking } = context
 canvascontext.clearrect(0, 0, canvas.width, canvas.height)
 event.data.foreach(function({ x, y, width, height }) {
  canvascontext.strokestyle = '#a64ceb'
  canvascontext.strokerect(x, y, width, height)
  canvascontext.font = '11px helvetica'
  canvascontext.fillstyle = '#fff'
 })


 if (!isempty(event.data) && context.count <= 10) {
  if (context.count < 0) context.count = 0
  context.count += 1
  //debughelper.log(context.count)
  if (context.count > 10) {
  context.isdetected = '已检测到人脸，正在登录'
  //context.$router.push({ name: 'pwdlogin' })
  }
 } else {
  context.count -= 1
  if (context.count < 0) context.isdetected = '请您保持脸部在画面*'
  //this.isdetected = '已检测到人脸，正在登录'
 }
 
 })
 },
 ondownloadfile(item) {
 const link = document.createelement('a')
 link.href = item
 link.download = `cahyo-${new date().toisostring()}.png`
 link.click()


 link.remove()
 },
 ontakecam() {
 const canvas = document.createelement('canvas')
 const video = this.$el.queryselector('#video_cam')
 const canvascontext = canvas.getcontext('2d')


 if (video.videowidth && video.videoheight) {
 const isbiggerw = video.videowidth > video.videoheight
 const fixvidsize = isbiggerw ? video.videoheight : video.videowidth
 let offsetleft = 0
 let offsettop = 0


 if (isbiggerw) offsetleft = (video.videowidth - fixvidsize) / 2
 else offsettop = (video.videoheight - fixvidsize) / 2


 // make canvas size 300px
 canvas.width = canvas.height = 300
 const { width, height } = canvas


 canvascontext.drawimage(
  video,
  offsetleft,
  offsettop,
  fixvidsize,
  fixvidsize,
  0,
  0,
  width,
  height
 )
 const image = canvas.todataurl('image/png')
 this.images.push(image)
 }
 },
 ondetectface(param, index) {
 const imgitem = document.queryselector(`.img-item-${index}`)
 const image = new image()
 image.src = param


 const tracker = new tracking.objecttracker('face')
 tracker.setstepsize(1.7)
 tracking.track(image, 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) {
 const rect = document.createelement('div')
 document.queryselector(`.img-item-${index}`).appendchild(rect)
 rect.classlist.add('rect')
 rect.style.width = w + 'px'
 rect.style.height = h + 'px'
 rect.style.left = x + 'px'
 rect.style.top = y + 'px'
 rect.style.border = '2px solid yellow'
 rect.style.position = 'absolute'
 }
 },
 getmediastreamsuccess(stream) {
 window.stream = stream // make stream available to browser console
 this.videoel.srcobject = stream
 debughelper.log('getmediastreamsuccess1')
 //this.$store.commit('setvideocanvasobject', this.videoel)
 debughelper.log('getmediastreamsuccess2')
 },
 // 视频媒体流失败
 getmediastreamerror(error) {
 alert('视频媒体流获取错误' + error)
 },
 // 结束媒体流
 stopmediastreamtrack() {
 clearinterval(this.timeinterval)
 if (typeof window.stream === 'object') {
 this.videoel.srcobject = null
 //this.$store.commit('setvideocanvasobject', '')
 window.stream.gettracks().foreach(track => track.stop())
 }
 },

总结

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