微信小程序 人脸追踪+人脸识别+视频上传 页面

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效果图：
在这里插入图片描述
调用的百度人脸识别api，免费账户就可以，虽然有QPS限制但对于自己学习使用是足够的。

代码：

wxml：

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<view class="page-body">
  <view class="page-body-wrapper">
    <camera device-position="front" flash="off" binderror="error" style="width:100%;height:300px;"></camera>
    <canvas wx:if="{{canvasshow}}" style="width: 100%;height:300px;position:absolute;" canvas-id="canvas"></canvas>
    <view class="btn-area">
      <button type="primary" bindtap="track" style='background-color:#31859c;' data-trackshow="{{trackshow}}">{{trackshow}}</button>
    </view>
    <view class="btn-area">
      <button type="primary" bindtap="search" style='background-color:#31859c;'>进行人脸识别</button>
    </view>
    <view class="btn-area">
      <button type="primary" bindtap="startRecord" style='background-color:#31859c;'>开始录像</button>
    </view>
    <view class="btn-area">
      <button type="primary" bindtap="stopRecord" style='background-color:#31859c;'>结束录像</button>
    </view>
    <view  class="preview-tips">识别结果:{{who}}</view>
    <view wx:if="{{src}}" style='display:flex;width:100%'>
      <image  mode="aspectFit" src="{{src}}"  class='result-img'></image>
      <canvas  style="width: 100%;height:300px;position:absolute;" canvas-id="canvasresult"></canvas>
    </view>
    <view wx:if="{{videoSrc}}" class="preview-tips">视频预览</view>
    <video wx:if="{{videoSrc}}" class="video" src="{{videoSrc}}"></video>
    <view wx:if="{{videoSrc}}" class="btn-area">
      <button type="primary" bindtap="uploadRecord" style='background-color:#31859c;'>上传该录像</button>
    </view>
  </view>
</view>

js:

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var app = getApp();
Page({
  data: {
    src:"",
    fengmian:"",
    videoSrc:"",
    who:"",
    openid: "",
    token: "",
    windowWidth: 0,
    trackshow: "进行人脸追踪",
    canvasshow:true
  },

  onLoad() {
    var that = this
    //屏幕宽度
    var sysInfo = wx.getSystemInfoSync()
    that.setData({
      windowWidth: sysInfo.windowWidth,
    })
    that.ctx = wx.createCameraContext()
    console.log("onLoad"),
      that.setData({
        openid: app.globalData.openid,
        token: app.globalData.token
      });
  },

  onReady: function () {
    // this.takePhoto()
    // this.interval = setInterval(this.takePhoto, 500)
  },

  track (e){
    var that =this
    if (e.target.dataset.trackshow =="进行人脸追踪"){
      that.setData({
        trackshow: "停止人脸追踪",
        canvasshow: true
      })
      that.takePhoto()
      that.interval = setInterval(this.takePhoto, 500)
    }else{
      clearInterval(that.interval)
      that.setData({
        trackshow: "进行人脸追踪",
        canvasshow: false
      })
    }
  },

  takePhoto() {
    console.log("takePhoto")
    var that = this
    var takephonewidth
    var takephoneheight
    that.ctx.takePhoto({
      quality: 'low',
      success: (res) => {
        // console.log(res.tempImagePath),
        // 获取图片真实宽高
        wx.getImageInfo({
          src: res.tempImagePath,
          success: function (res) {
            takephonewidth= res.width,
            takephoneheight = res.height
          }
        })
        wx.getFileSystemManager().readFile({
          filePath: res.tempImagePath, //选择图片返回的相对路径
          encoding: 'base64', //编码格式
          success: res => { //成功的回调
            // console.log('data:image/png;base64,' + res.data),
            wx.request({
              url: "https://aip.baidubce.com/rest/2.0/face/v3/detect?access_token=【填自己的】",
              data: {
                image:res.data,
                image_type:"BASE64",
                max_face_num:10
              },
              method: 'POST',
              dataType: "json",
              header: {
                'content-type': 'application/json' },
              success: function (res) {
                console.log(res.data);
                if (res.data.error_code === 0) { 
                  var ctx = wx.createContext()
                  ctx.setStrokeStyle('#31859c')
                  ctx.lineWidth = 3
                  for (let j = 0; j < res.data.result.face_num; j++){
                    var cavansl = res.data.result.face_list[j].location.left / takephonewidth * that.data.windowWidth
                    var cavanst = res.data.result.face_list[j].location.top / takephoneheight * 300
                    var cavansw = res.data.result.face_list[j].location.width / takephonewidth * that.data.windowWidth
                    var cavansh = res.data.result.face_list[j].location.height / takephoneheight * 300
                    ctx.strokeRect(cavansl, cavanst, cavansw, cavansh)
                  }
                  wx.drawCanvas({
                    canvasId: 'canvas',
                    actions: ctx.getActions()
                  })
                }else{
                  var ctx = wx.createContext()
                  ctx.setStrokeStyle('#31859c')
                  ctx.lineWidth = 3
                  wx.drawCanvas({
                    canvasId: 'canvas',
                    actions: ctx.getActions()
                  })
                }
              },
            })

          }
        })
      }
    })
  },

  search(){
    var that = this
    var takephonewidth
    var takephoneheight
    that.ctx.takePhoto({
      quality: 'heigh',
      success: (res) => {
        // console.log(res.tempImagePath),
          // 获取图片真实宽高
          wx.getImageInfo({
            src: res.tempImagePath,
            success: function (res) {
              takephonewidth = res.width,
                takephoneheight = res.height
            }
          })
          that.setData({
            src: res.tempImagePath
          }),
          wx.getFileSystemManager().readFile({
            filePath: that.data.src, //选择图片返回的相对路径
            encoding: 'base64', //编码格式
            success: res => {
              wx.request({
                url: "https://aip.baidubce.com/rest/2.0/face/v3/multi-search?access_token=【填自己的】",
                data: {
                  image: res.data,
                  image_type: "BASE64",
                  group_id_list: "camera000001",
                  max_face_num: 10,
                  match_threshold: 60,

                },
                method: 'POST',
                dataType: "json",
                header: {
                  'content-type': 'application/json'
                },
                success: function (res) {
                  console.log(res.data);
                  var ctx = wx.createContext()
                  if (res.data.error_code === 0) {
                    ctx.setStrokeStyle('#31859c')
                    ctx.setFillStyle('#31859c');
                    ctx.lineWidth = 3
                    for (let j = 0; j < res.data.result.face_num; j++) {
                      var cavansl = res.data.result.face_list[j].location.left / takephonewidth * that.data.windowWidth
                      var cavanst = res.data.result.face_list[j].location.top / takephoneheight * 300
                      var cavansw = res.data.result.face_list[j].location.width / takephonewidth * that.data.windowWidth
                      var cavansh = res.data.result.face_list[j].location.height / takephoneheight * 300
                      var cavanstext = res.data.result.face_list[j].user_list[0].user_id + " " + res.data.result.face_list[j].user_list[0].score.toFixed(0) + "%"
                      ctx.setFontSize(14);
                      ctx.fillText(cavanstext, cavansl, cavanst-2)
                      ctx.strokeRect(cavansl, cavanst, cavansw, cavansh)
                      
                    }
                    wx.drawCanvas({
                      canvasId: 'canvasresult',
                      actions: ctx.getActions()
                    })
                  } else {
                    var ctx = wx.createContext()
                    ctx.setStrokeStyle('#31859c')
                    ctx.lineWidth = 3
                    wx.drawCanvas({
                      canvasId: 'canvasresult',
                      actions: ctx.getActions()
                    })
                  }
                },
              })
            }
          })
      }
    })

  },

  startRecord() {
    this.ctx.startRecord({
      success: (res) => {
        console.log('startRecord')
      },   
    })
  },
  stopRecord() {
    this.ctx.stopRecord({
      success: (res) => {
        console.log(res)
        this.setData({
          fengmian: res.tempThumbPath,
          videoSrc: res.tempVideoPath
        })
      }
    })
  },
  uploadRecord() {
    var that = this;
    wx.showLoading({
      title: '上传中',
    })
    //获取摄像头信息
    wx.request({
      url: app.globalData.urlHeader + '/login/cameralist',
      data: {
        openid: app.globalData.openid,
        token: app.globalData.token
      },
      method: 'POST',
      header: {
        'content-type': 'application/json'
      },
      success: function (res) {
        if (res.data.code === 0) {
          if (res.data.data.cameras == null) {
            wx.request({
              url: app.globalData.urlHeader + '/login/addcamera',
              data: {
                openid: app.globalData.openid,
                token: app.globalData.token,
                camera: "phone"
              },
              method: 'POST',
              header: {
                'content-type': 'application/json'
              },
              success: function (res) {
                if (res.data.code === 0) {
                  console.log('添加成功')
                } else {
                  console.log(res.data.error)
                }
              }
            })
          } else {
            var cameras = res.data.data.cameras
            if (cameras.includes("phone")) {
              return false
            } else {
              wx.request({
                url: app.globalData.urlHeader + '/login/addcamera',
                data: {
                  openid: app.globalData.openid,
                  token: app.globalData.token,
                  camera: "phone"
                },
                method: 'POST',
                header: {
                  'content-type': 'application/json'
                },
                success: function (res) {
                  if (res.data.code === 0) {
                    console.log('添加成功')
                  } else {
                    console.log(res.data.error)
                  }
                }
              })
            }
          }
        }
        else {
          wx.hideLoading()
          console.log('获取摄像头列表失败！' + res.data.error)
          wx.showToast({
            title: '获取摄像头列表失败！',
            image: '../../img/about.png',
            duration: 1000
          })

        }
      }
    })

    wx.uploadFile({
      url: app.globalData.urlHeader + '/upload',
      filePath: that.data.videoSrc,
      name: 'file',
      formData: {
        'cameraid':'phone',
        'openid': that.data.openid,
        'token': that.data.token,
      },
      success: function (res) {
        console.log(res.data);
        var result = JSON.parse(res.data).data.filename
        console.log(result);
        wx.uploadFile({
          url: app.globalData.urlHeader + '/upload/fengmian',
          filePath: that.data.fengmian,
          name: 'file',
          formData: {
            'openid': that.data.openid,
            'token': that.data.token,
            'name': result
          },
          success(res) {
            console.log( res.data);
            that.setData({
              fengmian: "",
              videoSrc:""
            }),
            wx.hideLoading()
            wx.showToast({
              title: '上传成功',
              icon: 'success',
              duration: 2000
            })
          },
          fail(res) {
            wx.hideLoading()
            wx.showToast({
              title: '上传失败',
              image: '../../img/about.png',
              duration: 2000
            })

          }
        })
      },
      fail(res) {
        wx.hideLoading()
        wx.showToast({
          title: '上传失败',
          image: '../../img/about.png',
          duration: 2000
        })

      }
      
    })
  },

  onUnload: function () {
    var that=this
    clearInterval(that.interval)
  },

  error(e) {
    console.log(e.detail)
  }

})

wxss：

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.preview-tips {
  margin: 50rpx 0  30rpx;  
}

.video {
  margin: 20rpx auto;
  width: 100%;
  height: 300px;
}

page {
  background-color: #F8F8F8;
  height: 100%;
  font-size: 32rpx;
  line-height: 1.6;
}

.page-body {
  padding: 20rpx 0;
}

.page-body-wrapper {
  display: flex;
  flex-direction: column;
  align-items: center;
  width: 100%;
}

.btn-area {
  margin-top: 40rpx;
  box-sizing: border-box;
  width: 100%;
  padding: 0 30rpx;
}

.result-img{
width:100%;
height:300px;
}

自己的access_token获取看这里：http://ai.baidu.com/docs#/Face-Detect-V3/top
在手机端的主页效果，第二个即为演示图上传的视频
在这里插入图片描述
更新：改了识别结果显示方式，增加了多人识别。
效果：
在这里插入图片描述
类似的骨架提取：
在这里插入图片描述

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