【微信小程序】基于百度大脑人体检测、人脸识别以及调用阿里垃圾分类识别小程序利用canvas完成人脸画图、分割手部部分图片算法

演示

好久没发了,最近在做比赛看下成品演示:
在这里插入图片描述

在这里插入图片描述
在这里插入图片描述
说明:人体出现在镜头里用红色框将人脸圈出来、用黄色框将手部圈出来,定时器触发后,通过百度返回的top+、left+、width+、height+将拍照的截图用canvas画出来,最后保存上传到阿里云垃圾分类识别检测

完整视频演示,等路演发出来

遇到的问题

博主用的是手部关键点识别,手部截取包括手肘部分,当出现手肘没有手掌时会出现截取不到目标的问题,目前解决办法:定时器设置时间长一点供演示员做好调整,另外就是出现手掌,可以尽量把掌心打开方便识别
在这里插入图片描述
这样手肘部分就不会被检测到了
在截取的时候canvas用不了了,网上找了很多办法,都是基础版本不支持,都是淘汰废弃代码,在这里卡了几天,最后看到一篇文章,
canvas的drawImage方法参数详解

最后我做了总结

ctx.drawImage(that.data.src,that.data.left-80,that.data.top-80,161,169,0,0,161,169);
//原图片;坐标left、top;剪裁的宽度、高度;在新的图像上显示比例

下面的注释为:百度检测到返回的localtion坐标

项目完整流程:通过单片机超声波检测人体靠近,打开小程序摄像头,检测人脸和手部,检测到以后记录人脸以及手部分割,手部分割的图片最后用阿里识别接口完成调用,识别后发送自定义参数从而使垃圾桶完成开盖,人脸用于记录绿色能量值,整个流程就是这样

百度返回的人体手部大小不能使手上的东西完整截取出来

所以我加了以下东西,帮助识别检测

that.data.left-80,that.data.top-80

另外由于图片大小 还没做调整,宽度、高度不够会用白色图片补全
在这里插入图片描述

手部识别代码(包含canvas截图):
index.js

var app = getApp();


// 规定
// access_token1为:人脸识别
// access_token2为:手部检测的


// 
Page({
    
    
  data: {
    
    
    src:"",
    fengmian:"",
    videoSrc:"",
    who:"",
    openid: "",
    token: "",
    windowWidth: 0,
    trackshow: "进行人脸追踪",
    canvasshow:true,
    access_token1:'',
    access_token2:''
  },
  ceshi() {
    
    
    console.log("点击");
    let that = this
    setTimeout(() => {
    
    
      wx.canvasToTempFilePath({
    
    
        // x:100,
        // y:20,
        width: 170,
        heght: 170,
        canvasId: 'canvasresult',
        fileType: 'jpg',
        quality: 1,
        success: (res) => {
    
    
          console.log(res);
          console.log(res.tempFilePath);
        },
        fail: function (res) {
    
    
          console.log(res);
        },
      })
    }, 1000);
    // wx.downloadFile({
    
    
    //  url: that.data.src,
    //  success: function (res) {
    
    
    //   wx.saveImageToPhotosAlbum({
    
    
    //    filePath: res.tempFilePath,
    //    success(res) {
    
    
    //     wx.showToast({
    
    
    //      title: '保存成功',
    //      icon: "success",
    //      duration: 1000
    //     })
    //    }
    //   })
    //  }
    // })
   },
  onLoad() {
    
    
    var that = this
    wx.showLoading({
    
    
      title: '开始监测人脸',
      mask: true
    })
    //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
      // });
    


    wx.request({
    
    
      url: "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=pkTx***o&client_secret=LXw1****6P0lR1",
      method: 'POST',
      dataType: "json",
      header: {
    
    
        'content-type': 'application/json'
      },
      success: function (res) {
    
    
        // console.log(res.data.access_token1);
        // app.globalData.access_token1 = res.data.access_token1;
        that.setData({
    
    
          access_token2: res.data.access_token
        });
      }
    })
    // https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=Va5yQRHlA4Fq5eR3LT0vuXV4&client_secret=0rDSjzQ20XUj5itV6WRtznPQSzr5pVw2&

    // 更新手部2
    // wx.request({
    
    
    //   url: "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=XbQ******pkTxo&client_secret=Lyw1o******lR1",
    //   method: 'POST',
    //   dataType: "json",
    //   header: {
    
    
    //     'content-type': 'application/json'
    //   },
    //   success: function (res) {
    
    
    //     // console.log(res.data.access_token1);
    //     // app.globalData.access_token1 = res.data.access_token1;
    //     that.setData({
    
    
    //       access_token1: res.data.access_token
    //     });
    //   }
    // })
    wx.hideLoading()
    that.track();
  },

  onReady: function () {
    
    
  },

  track (e){
    
    
    var that =this
    if (that.data.trackshow =="进行人脸追踪"){
    
    
      //运行
      that.setData({
    
    
        trackshow: "停止人脸追踪",
        canvasshow: true
      })
      that.takePhoto()
      that.interval = setInterval(this.takePhoto, 500)
    }else{
    
    
      //停止
      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: 'hight',
      success: (res) => {
    
    
        that.setData({
    
    
          src: res.tempImagePath
        })
        // 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
          }
        })
        // console.log(takephonewidth, takephoneheight)
        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/image-classify/v1/hand_analysis?access_token=" + that.data.access_token2,
              data: {
    
    
                image:res.data
              },
              method: 'POST',
              dataType: "json",
              header: {
    
    
                'content-type': 'application/x-www-form-urlencoded' },
              success: function (res) {
    
    
                console.log(res.data);
                if (res.data.hand_num) {
    
     
                  var ctx = wx.createContext()
                
                  ctx.setStrokeStyle('red')
                  ctx.lineWidth = 4
                  for (let j = 0; j < res.data.hand_num; j++){
    
    
                    var cavansl = res.data.hand_info[j].location.left / takephonewidth * that.data.windowWidth
                    var cavanst = res.data.hand_info[j].location.top / takephoneheight * that.data.windowWidth
                    var cavansw = res.data.hand_info[j].location.width / takephonewidth * that.data.windowWidth
                    var cavansh = res.data.hand_info[j].location.height / takephoneheight * that.data.windowWidth
                    ctx.strokeRect(cavansl, cavanst, cavansw, cavansh)
                    that.setData({
    
    
                      left:res.data.hand_info[j].location.left, 
                      top:res.data.hand_info[j].location.top,
                      bd_w:res.data.hand_info[j].location.width,
                      bd_h:res.data.hand_info[j].location.height ,
                      cavansw:cavansw,
                      cavansh:cavansh

                    })
                   
                    // ctx.setFontSize(14);
                    // ctx.fillText(cavanstext, cavansl, cavanst-2)
                    // ctx.strokeRect(cavansl, cavanst, cavansw, cavansh)
                    
                  
                   
                  }
                  // that.search();
                    //绘制
                    ctx.drawImage(that.data.src,that.data.left-80,that.data.top-80,161,169,0,0,161,169);
                    //原图片;坐标left、top;剪裁的宽度、高度;在新的图像上显示比例
                  wx.drawCanvas({
    
    
                    canvasId: 'canvasresult',
                    actions: ctx.getActions()
                  })
                  wx.drawCanvas({
    
    
                    canvasId: 'canvass',
                    actions: ctx.getActions()
                  })
                  setTimeout(() => {
    
    
                    //检测到人脸则搜索用户识别码
                    // that.search();
                    //执行完一遍关闭调用检测
                   //执行完一遍关闭调用检测
                clearInterval(that.interval)
                that.setData({
    
    
                  trackshow: "进行人脸追踪",
                  canvasshow: false
                })
                  }, 1000);
                   
                // 
                } else{
    
    
                var ctx = wx.createContext()
                ctx.setStrokeStyle('#31859c')
                ctx.lineWidth = 3
                wx.drawCanvas({
    
    
                  canvasId: 'canvas',
                  actions: ctx.getActions()
                })
              }
              },
            })

          }
        })
      }
    })
  },

  search(){
    
    
    var that = this
    that.setData({
    
    
      who: ""
    })
    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
          }
        })
        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 => {
    
    
            // var ctx = wx.createContext()
            //       ctx.drawImage(that.data.src, 0, 0, takephonewidth, takephoneheight);
            //         ctx.setStrokeStyle('#31859c')
            //         ctx.setFillStyle('#31859c');
            //         ctx.lineWidth = 4
            //           ctx.setFontSize(14);
                  
            //           wx.canvasToTempFilePath({
    
    

            //             x: 0,
                    
            //             y: 0,
                    
            //             width: 300,
                    
            //             height: 500,
                    
            //             canvasId: 'canvasresult',
                    
            //             success: function (res) {
    
    
                    
            //                 console.log(res.tempFilePath);
                    
            //             }
                    
            //         })
            //         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
        })
        console.log('startOver')
      }
    })
  },
  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': app.globalData.openid,
        'token': app.globalData.token,
        'tag': 2
      },
      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': app.globalData.openid,
            'token': app.globalData.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
            })
            setTimeout(function () {
    
    
              wx.switchTab({
    
    
                url: '../index/index'
              })
            }, 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)
  }

})

wxml

<view class="page-body">
  <view class="page-body-wrapper">
    <camera device-position="{
    
    {qiehuan}}" flash="off" binderror="error" style="width:100%;height:{
    
    {windowWidth}}px;"></camera>
    <canvas wx:if="{
    
    {canvasshow}}" style="width: 100%;height:{
    
    {windowWidth}}px;position:absolute;" canvas-id="canvas"></canvas>
    <!-- <canvas type="2d" id="myCanvas"></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="qiehuan" data-qie="{
    
    {qiehuan}}" style='background-color:#31859c;'>切换镜头</button>
    </view>
    <view class="btn-area">
      <button type="primary" bindtap="search" style='background-color:#31859c;'>确定</button>
    </view>

    <view class="btn-area">
      <button type="primary" bindtap="ceshi" style='background-color:#31859c;'>测试</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  wx:if="{
    
    {src}}" class="preview-tips">识别结果:{
    
    {
    
    who}}</view>
    <view wx:if="{
    
    {src}}" style='display:flex;width:100%;justify-content:center;'>
      <image  mode="aspectFit" src="{
    
    {src}}"  style='width:50%;height:{
    
    {windowWidth/2}}px;'></image>
      <canvas  style="width: 50%;height:{
    
    {windowWidth/2}}px;position:absolute;" canvas-id="canvasresult"></canvas>
    </view>
    <view wx:if="{
    
    {videoSrc}}" class="preview-tips">视频预览</view>
    <video wx:if="{
    
    {videoSrc}}" poster="{
    
    {fengmian}}" 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>

wss:

.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;
}

完整的代码包上传后发出来

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转载自blog.csdn.net/qq_35230125/article/details/125199133