| | |
| | | <template> |
| | | <div class="homeclass"> |
| | | <!-- {{dialogVisible}} --> |
| | | <div class="page" v-if="!dialogVisible"> |
| | | |
| | | <el-row style="height: 11.3%;"> |
| | | </el-row> |
| | | <el-row style="height: 50%;margin-bottom: 2%;" :gutter="20"> |
| | |
| | | 机位/床位号 |
| | | </div> |
| | | </div> |
| | | <div style="height: 75%;"> |
| | | <div style="height: 81%;background-color: #FFFFFF;"> |
| | | <div class="textjuzhong" style="background: rgba(243, 247, 243, 0.3); font-size: 6rem; font-weight: 800; color: #DFB144;"> |
| | | {{ patientInfo.deviceNo }} |
| | | </div> |
| | | </div> |
| | | </el-col> |
| | | <el-col :span="17"> |
| | | <div style="height: 25%;"> |
| | | <!-- <div style="height: 25%;"> |
| | | <div class="textjuzhong" style="background: #DFB144; font-size: 2rem; color: #FFFFFF;"> |
| | | 治疗信息 |
| | | </div> |
| | | </div> |
| | | <div style="height: 75%;"> |
| | | <div style="background: rgba(243, 247, 243, 0.3); height: 100%; width: 100%; font-size: 2.5rem; line-height: 4.5rem; font-weight: 800; color: #FFFFFF; text-align: center;padding-top: 1rem;"> |
| | | <span style="font-size: 4rem; color:#DFB144 ; " >干体重 {{patientInfo.pureWeight}}kg</span> |
| | | </div> --> |
| | | <div style="height: 100%;background-color: #FFFFFF;"> |
| | | <div ref="myChartRef" style="background: rgba(243, 247, 243, 0.3); height: 100%; width: 100%; font-size: 2.5rem; line-height: 4.5rem; font-weight: 800; color: #FFFFFF; text-align: center;padding-top: 1rem;"> |
| | | <!-- <div ref="myChartRef" style="height: 300px; width: 100%;"></div> --> |
| | | <!-- <span style="font-size: 4rem; color:#DFB144 ; " >干体重 {{patientInfo.pureWeight}}kg</span> |
| | | <br> |
| | | <span > 透析器:{{patientInfo.txq}}</span> |
| | | <span > 治疗模式:{{patientInfo.medMethod}}</span> |
| | | <span > 灌流器:{{patientInfo.glq}}</span> |
| | | <span > 灌流器:{{patientInfo.glq}}</span> --> |
| | | </div> |
| | | </div> |
| | | </el-col> |
| | |
| | | </el-row> |
| | | </div> |
| | | <div class="rWrapp"> |
| | | <video id="myVideo" preload="preload" autoplay loop muted /> |
| | | <video ref="video" id="myVideo" preload="preload" autoplay loop muted /> |
| | | |
| | | <canvas ref="canvas" width="{this.width}" height="{this.height}" /> |
| | | |
| | | <div style="text-align: center; font-size: 2rem; color: bisque;margin-top: 1rem;">请将脸部对准摄像头</div> |
| | | </div> |
| | | <div v-if="imgSrc" class="img_bg_camera" style="margin-top: 200px;"> |
| | |
| | | <img :src="imgSrc" class="tx_img" /> |
| | | </div> |
| | | <div style="margin-top: 0px; z-index: -1;position:absolute;" > |
| | | <canvas ref="myCanvas" id="myCanvas" class="myCanvas" width="200" height="200" ></canvas> |
| | | |
| | | </div> |
| | | <div class="footer" style="text-align: right;"> |
| | | <div class="fanhuikey" v-if="!dialogVisible" @click="fuxuan"> |
| | |
| | | </div> |
| | | </template> |
| | | <script setup lang="ts"> |
| | | import * as echarts from 'echarts'; |
| | | import { detectSingleFace, nets, matchDimensions, resizeResults, draw, SsdMobilenetv1Options, Box } from 'face-api.js' |
| | | import * as faceapi from 'face-api.js' |
| | | import { userInfoStore } from '@/stores/userInfo' |
| | | import { sockteStore } from '@/stores/sockteInfo' |
| | | import { ipcRenderer } from 'electron' |
| | | import { patientInfoStore } from '@/stores/patient' |
| | | import { updatePatient } from '@/api/user/index' |
| | | import { updatePatient,listWeightHistory,listBPHistory } from '@/api/user/index' |
| | | import os from "os" |
| | | import Speech from 'speak-tts' |
| | | import { reactive,computed, toRefs, onMounted, watch, ref } from "vue" |
| | | import { reactive,computed, toRefs, onMounted, watch, ref, getCurrentInstance } from "vue" |
| | | import { sendPationCodeApi } from '../../samples/httpApi' |
| | | import { formatDate,jgTime } from '@/utils/formatTime' |
| | | import { formatDate,jgTime,isworkTime } from '@/utils/formatTime' |
| | | import { confingInfoStore } from '@/stores/StoresConfing' |
| | | import {base64toFile} from '@/samples/faceApi' |
| | | import{initPort} from '@/samples/portApi' |
| | | import{initPort as oumulongHbp9030 } from '@/samples/deviceApi/oumulong-HBP-9030' |
| | | import{initPort as TM2655VP} from '@/samples/deviceApi/TM2655VP' |
| | | import{initPort as zhiRongT605 } from '@/samples/deviceApi/zhiRongT605' |
| | | import{initPort as zhiRongHehui } from '@/samples/deviceApi/zhiRongHehui' |
| | | import{initPort as taiHengM523 } from '@/samples/deviceApi/taiHengM523' |
| | | import{initPort as XK3190A12 } from '@/samples/deviceApi/XK3190A12' |
| | | import {initPort as mbp7000} from '@/samples/deviceApi/mbp7000' |
| | | import {initPort as M503} from '@/samples/deviceApi/M503' |
| | | import {initPort as seca102} from '@/samples/deviceApi/seca102' |
| | | // 读取体重文件 |
| | | import{toDataTz,todatatzs } from '@/samples/deviceApi/seca101' |
| | | import { ElLoading, ElMessage } from 'element-plus' |
| | | import { el } from 'element-plus/es/locale' |
| | | import { Console } from 'console' |
| | | let trackerTask: any = null; |
| | | import{todatatzs } from '@/samples/deviceApi/seca101' |
| | | import {ElMessage } from 'element-plus' |
| | | const { proxy } = getCurrentInstance() as any; |
| | | // 人脸检测对象 |
| | | const options = new SsdMobilenetv1Options({ |
| | | // 最小置信阈值 |
| | | // 默认值:0.5 |
| | | minConfidence: 0.5 |
| | | }) |
| | | const canvas = ref('canvas') // 图像画布 |
| | | const video = ref('video') // 视频元素 |
| | | const stream = ref(null) // 当前流 |
| | | const getUserMediaFail = ref(false) // 获取用户媒体失败 |
| | | let lsDateTime:any=new Date() |
| | | // 标识用的画布 |
| | | const myCanvas = ref<HTMLCanvasElement | null>(null); |
| | | let imgSrc:''; |
| | | const msg = ref<string>("没识别到人脸..."); |
| | | // 实例人脸检查器 ObjectTracker |
| | | const myTracker: any = new tracking.ObjectTracker("face"); |
| | | myTracker.setInitialScale(4); |
| | | myTracker.setStepSize(2); |
| | | myTracker.setEdgesDensity(0.1); |
| | | // 监听人脸检查器 |
| | | myTracker.on("track", (event: tracking.TrackEvent) => { |
| | | const context = myCanvas.value?.getContext("2d") as CanvasRenderingContext2D; |
| | | if (myCanvas.value) { |
| | | context.clearRect(0, 0, myCanvas.value.width, myCanvas.value.height); |
| | | } |
| | | if (event.data.length === 0) { |
| | | // console.log('没有监测到---') |
| | | msg.value = "没识别到人脸..."; |
| | | } else if(event.data.length >= 1){ |
| | | trackerTask.stop(); |
| | | msg.value = "检测到人脸"; |
| | | console.log('监测到人脸2样') |
| | | console.log(event.data) |
| | | const myCanvas = document.getElementById("myCanvas");// |
| | | const thisContext = myCanvas?.getContext("2d"); |
| | | const myVideo = document.querySelector("#myVideo") as HTMLVideoElement; |
| | | thisContext.drawImage(myVideo, 0,0, 250, 200); |
| | | imgSrc = myCanvas?.toDataURL('image/png'); |
| | | const X= jgTime(lsDateTime,new Date()) |
| | | |
| | | // 转文件 |
| | | // 识别框显示才能到传阿里云识别 |
| | | if(dialogVisible.value&&X>configData.value.face_push){ |
| | | lsDateTime=new Date() |
| | | console.log(X,'上传阿里识别间隔') |
| | | base64toFile(imgSrc) |
| | | } |
| | | setTimeout(() => { |
| | | // console.log(configData.value.face_push+'秒跑一次人脸识别') |
| | | trackerTask.run(); |
| | | }, configData.value.face_push*1000); |
| | | // @ts-ignore |
| | | if (typeof window.stream === "object") { |
| | | myVideo.srcObject = null; |
| | | // @ts-ignore |
| | | window.stream.getTracks().forEach((track) => track.stop()); |
| | | } |
| | | } |
| | | }); |
| | | |
| | | let timer: any = 0 |
| | | let timer:any=new Date() |
| | | const date=ref('') |
| | | const timeShidaun=ref('') |
| | | // 语音播报 |
| | |
| | | dialogVisible.value = true |
| | | }else{ |
| | | console.log('关闭人脸识别') |
| | | dialogVisible.value = false |
| | | dialogVisible.value = true |
| | | } |
| | | |
| | | } |
| | | const huatu=(series: { name: string; type: string; stack: string; data: any; }[],xAxis: any[],legendData:any[],textTitle:string)=>{ |
| | | const myChart = echarts.init(proxy.$refs.myChartRef); |
| | | const option = { |
| | | title: { |
| | | text: textTitle,//'体重趋势图', |
| | | borderRadius:5, |
| | | backgroundColor:"#409EFF", |
| | | left:20, |
| | | textStyle:{ |
| | | color:'#ffffff', |
| | | fontSize:18 |
| | | } |
| | | }, |
| | | tooltip: { |
| | | trigger: 'axis', |
| | | }, |
| | | legend: { |
| | | data:legendData //['透前体重', '透后体重', '干体重'] |
| | | }, |
| | | grid: { |
| | | left: '3%', |
| | | right: '4%', |
| | | bottom: '3%', |
| | | containLabel: true |
| | | }, |
| | | toolbox: { |
| | | show: true, |
| | | feature: { |
| | | // restore: {} |
| | | } |
| | | }, |
| | | xAxis: { |
| | | type: 'category', |
| | | boundaryGap: false, |
| | | data: xAxis |
| | | }, |
| | | yAxis: { |
| | | type: 'value', |
| | | axisLabel: { |
| | | formatter: '{value} kg' |
| | | }, |
| | | min:30, |
| | | minInterval:1, |
| | | }, |
| | | series: series |
| | | }; |
| | | myChart.setOption(option); |
| | | |
| | | } |
| | | // 体重趋势图 |
| | | const intiTubiao=()=>{ |
| | | console.log('----------3333') |
| | | const xAxisData: any[]=[] |
| | | const series=[ |
| | | { |
| | | name: '透前体重', |
| | | type: 'line', |
| | | color:'#E6A23C', |
| | | smooth: true, |
| | | data: [] |
| | | }, |
| | | { |
| | | name: '透后体重', |
| | | color:'#409EFF', |
| | | type: 'line', |
| | | smooth: true, |
| | | data: <any>[] |
| | | }, |
| | | { |
| | | name: '干体重', |
| | | type: 'line', |
| | | color:'red', |
| | | smooth: true, |
| | | data: [] |
| | | }, |
| | | ] |
| | | console.log(patientInfo.value) |
| | | listWeightHistory(`patientCode=${patientInfo.value.code}`).then(res=>{ |
| | | console.log(res.data,'-----------------------') |
| | | if(res.data.length>0){ |
| | | res.data.forEach((e:any)=>{ |
| | | xAxisData.push(e.透析日期.substring(5,10)) |
| | | series[0].data.push(e.透前称重) |
| | | series[1].data.push(e.透后称重) |
| | | series[2].data.push(e.干体重) |
| | | }) |
| | | const legendData=['透前体重', '透后体重', '干体重'] |
| | | huatu(series,xAxisData,legendData,'体重趋势图') |
| | | } |
| | | }) |
| | | } |
| | | // 血压趋势图 |
| | | const intiTubiaoXY=()=>{ |
| | | const xAxisData: any[]=[] |
| | | const series=[ |
| | | { |
| | | name: '透前伸缩压', |
| | | type: 'line', |
| | | color:'#E6A23C', |
| | | smooth: true, |
| | | data: [] |
| | | }, |
| | | { |
| | | name: '透前舒张压', |
| | | color:'#409EFF', |
| | | type: 'line', |
| | | smooth: true, |
| | | data: <any>[] |
| | | }, |
| | | { |
| | | name: '透后伸缩压', |
| | | type: 'line', |
| | | color:'#606266', |
| | | smooth: true, |
| | | data: [] |
| | | },{ |
| | | name: '透后舒张压', |
| | | type: 'line', |
| | | color:'#E6A23C', |
| | | smooth: true, |
| | | data: [] |
| | | } |
| | | ] |
| | | listBPHistory(`patientCode=${patientInfo.value.code}`).then(res=>{ |
| | | console.log(res.data,'--------sss---') |
| | | if(res.data.length>0){ |
| | | res.data.forEach((e:any)=>{ |
| | | xAxisData.push(e.透析日期.substring(5,10)) |
| | | series[0].data.push(e.透前伸缩压) |
| | | series[1].data.push(e.透前舒张压) |
| | | series[2].data.push(e.透后伸缩压) |
| | | series[3].data.push(e.透后舒张压) |
| | | }) |
| | | const legendData=['透前伸缩压', '透前舒张压', '透后伸缩压','透后舒张压'] |
| | | huatu(series,xAxisData,legendData,'血压趋势图') |
| | | } |
| | | }) |
| | | } |
| | | // 监控患者信息变化 |
| | | watch( |
| | |
| | | dialogVisible.value = false |
| | | speech.value?.speak({ text: str }).then(() => { |
| | | }) |
| | | if(configData.value.deviceType==='体重秤'){ |
| | | setTimeout(()=>{intiTubiao()},1000) |
| | | }else{ |
| | | setTimeout(()=>{intiTubiaoXY()},1000) |
| | | } |
| | | |
| | | |
| | | sockteStore().setweightSockte({ |
| | | type: "体重秤", |
| | |
| | | // 没有找到患者 |
| | | else if (patientInfo.value.name === '') { |
| | | ipcRenderer.invoke('logger', '接收到的患者为空') |
| | | // console.log('接收到的患者为空') |
| | | console.log('接收到的患者为空') |
| | | if (isUseFaceRecogService.value) { |
| | | dialogVisible.value = true |
| | | } |
| | |
| | | } |
| | | // 没有排班 |
| | | else if (patientInfo.value.isScheduled === 0) { |
| | | setTimeout(()=>{intiTubiao()},1000) |
| | | settime() |
| | | ipcRenderer.invoke('logger', `患者没有排班:${patientInfo.value.name}`) |
| | | // console.log( `患者没有排班:${patientInfo.value.name}`) |
| | |
| | | watch( |
| | | () => weightInfo.value.resultTime, |
| | | async () => { |
| | | const X= jgTime(timer,new Date()) |
| | | console.log(X,'收到体重',configData.value.BobaoJg) |
| | | // 体重不能0 |
| | | if (weightInfo.value.result !== "0"&&patientInfo.value.code!=='') { |
| | | ipcRenderer.invoke('logger', `体重变化了:${weightInfo.value.result}`) |
| | |
| | | }else if(Number(patientInfo.value.pureWeight) !== 0&&patientInfo.value.isAfterMed===1 && patientInfo.value.preWeight>10){ |
| | | aimTSL.value = (Number(patientInfo.value.preWeight)- Number(patientInfo.value.pureWeight) - Number(patientInfo.value.clothesWeight)).toFixed(2) |
| | | } |
| | | }else if(patientInfo.value.code===''&&weightInfo.value.result !== "0"){ |
| | | }// 要过4秒才能重复播报这个消息 |
| | | else if(patientInfo.value.code===''&&weightInfo.value.result !== "0"&&X>configData.value.BobaoJg){ |
| | | timer=new Date() |
| | | speech.value?.speak({ text: "没有识别的患者,请先验证患者" }).then(() => { |
| | | // console.log("播报完成...") |
| | | }) |
| | | } |
| | | } |
| | |
| | | console.log(`血压发生变化了:${weightInfo.value.result}`) |
| | | const list = xyjInfo.value.result.split(',') |
| | | if (list.length === 3) { |
| | | gao_ya.value = list[0] |
| | | di_ya.value = list[1] |
| | | mai_bu.value = list[2] |
| | | gao_ya.value = Number(list[0]).toString() |
| | | di_ya.value = Number(list[1]).toString() |
| | | mai_bu.value = Number(list[2]).toString() |
| | | } |
| | | // 患者信息为空 |
| | | if (patientInfo.value.id === 0) { |
| | |
| | | console.log(0%5) |
| | | console.log('页面初始化', os.hostname()) |
| | | setTimeout(()=>{ |
| | | |
| | | console.log('8秒后执行') |
| | | console.log('打印设置文件') |
| | | console.log(configData.value) |
| | |
| | | if(configData.value.Is_xyj){ |
| | | if(configData.value.xyj_type==='TM2655'){ |
| | | TM2655VP(configData.value.xueyanjiPortPath,configData.value.xueyanjiBaudRate) |
| | | }else{ |
| | | }else if(configData.value.xyj_type==='mbp7000'){ |
| | | mbp7000(configData.value.xueyanjiPortPath,configData.value.xueyanjiBaudRate) |
| | | } |
| | | else{ |
| | | oumulongHbp9030(configData.value.xueyanjiPortPath,configData.value.xueyanjiBaudRate) |
| | | } |
| | | } |
| | |
| | | if(configData.value.tzc_type==='taiHengM523'){ |
| | | taiHengM523(configData.value.tzcPortPath,configData.value.tzcBaudRate) |
| | | } |
| | | else if(configData.value.tzc_type==='M503'){ |
| | | M503(configData.value.tzcPortPath,configData.value.tzcBaudRate) |
| | | }else if(configData.value.tzc_type==='seca102'){ |
| | | seca102(configData.value.tzcPortPath,configData.value.tzcBaudRate) |
| | | |
| | | } |
| | | // seca101读取文件 |
| | | else if(configData.value.tzc_type==='seca101'){ |
| | | console.log('体重是读取文件') |
| | | }// 耀华XK3190-A12 |
| | | else if(configData.value.tzc_type==='XK3190-A12'){ |
| | | XK3190A12(configData.value.tzcPortPath,configData.value.tzcBaudRate) |
| | | }else if(configData.value.tzc_type==='zhiRongHehui'){ |
| | | zhiRongHehui(configData.value.tzcPortPath,configData.value.tzcBaudRate) |
| | | } |
| | | else{ |
| | | zhiRongT605(configData.value.tzcPortPath,configData.value.tzcBaudRate) |
| | |
| | | console.log('人脸识别',isUseFaceRecogService.value) |
| | | if (isUseFaceRecogService.value) { |
| | | console.log('开启人脸识别') |
| | | trackerTask = tracking.track("#myVideo", myTracker, { camera: true }); |
| | | faceapi.env.monkeyPatch({ |
| | | Canvas: HTMLCanvasElement, |
| | | Image: HTMLImageElement, |
| | | ImageData: ImageData, |
| | | Video: HTMLVideoElement, |
| | | createCanvasElement: () => document.createElement('canvas'), |
| | | createImageElement: () => document.createElement('img') |
| | | }) |
| | | // 获取用户媒体流 |
| | | getUserMedia( |
| | | (streams: null) => { |
| | | //后续用于停止视频流 |
| | | stream.value = streams |
| | | //显示视频 |
| | | if (video.value) { |
| | | video.value['srcObject'] = streams |
| | | } |
| | | }, |
| | | (error: any) => (getUserMediaFail.value = true) |
| | | ) |
| | | init() |
| | | setTimeout(()=>{ |
| | | detectFace() |
| | | },2000) |
| | | dialogVisible.value = true |
| | | }else{ |
| | | console.log('关闭人脸识别') |
| | |
| | | if(clockNum.value===0){ |
| | | fuxuan() |
| | | } |
| | | |
| | | date.value=formatDate(new Date(),'YYYY-mm-dd HH:MM') |
| | | if(Number(date.value.substring(11,13))<12){ |
| | | timeShidaun.value='上午好!' |
| | |
| | | timeShidaun.value='晚上好!' |
| | | } |
| | | // 验证人脸识别已经通过但是还没有体重数据主动获取数据 |
| | | if(patientInfo.value.name!==''&&weightInfo.value.result==='0'&&configData.value.Is_tzc){ |
| | | if(patientInfo.value.name!==''&&weightInfo.value.result==='0'&&configData.value.Is_tzc&&configData.value.tzc_type==='seca101'){ |
| | | console.log('主动获取体重') |
| | | todatatzs(patientInfo.value.datetime) |
| | | } |
| | | inputRef.value.focus(); |
| | | if(inputRef.value!==null){ |
| | | inputRef.value.focus(); |
| | | } |
| | | |
| | | |
| | | }, 1000) |
| | | speech.value = new Speech(); |
| | |
| | | }) |
| | | },8000) |
| | | }) |
| | | /** @name 人脸检测 */ |
| | | const detectFace:any = async () => { |
| | | //非常重要:防止卡死 |
| | | await new Promise((resolve) => requestAnimationFrame(resolve)) |
| | | //绘制取景框 |
| | | // drawViewFinder() |
| | | if (!canvas.value || !video.value || !video.value.currentTime || video.value.paused || video.value.ended) |
| | | return detectFace() |
| | | // 检测图像中具有最高置信度得分的脸部 |
| | | const result = await detectSingleFace(video.value, options) |
| | | if (!result) return detectFace() |
| | | // 匹配尺寸 |
| | | const dims = matchDimensions(canvas.value, video.value, true) |
| | | // 调整检测到的框的大小,以防显示的图像的大小与原始 |
| | | const resizedResult = resizeResults(result, dims) |
| | | const box = resizedResult.box |
| | | // 不要小头像 |
| | | if(box._height<120) return detectFace() |
| | | //检测框是否在取景框内 |
| | | // if (!checkInViewFinder(box)) return detectFace() |
| | | // drawViewFinder() |
| | | //将检测结果绘制到画布(此处不用,可以直接用来绘制检测到的人脸盒子) |
| | | draw.drawDetections(canvas.value, resizedResult.box); |
| | | drawBox(box, '') |
| | | // video.value.pause() |
| | | |
| | | |
| | | // //截取人脸图片 |
| | | const image = await cameraShoot( |
| | | video.value, |
| | | resizedResult.box.topLeft, |
| | | resizedResult.box.width, |
| | | resizedResult.box.height |
| | | ) |
| | | if (!image) { |
| | | drawBox(box, '识别失败') |
| | | video.value.play() |
| | | return detectFace() |
| | | } |
| | | const X= jgTime(lsDateTime,new Date()) |
| | | console.log('----',X,dialogVisible.value) |
| | | // console.log(image) |
| | | if(dialogVisible.value&&X>configData.value.face_push&&isworkTime(new Date())){ |
| | | lsDateTime=new Date() |
| | | console.log(X,'上传阿里识别间隔') |
| | | base64toFile(image) |
| | | } |
| | | return detectFace() |
| | | } |
| | | // 加载算法模型 文件存储在 public 文件夹下models文件夹。// 需要文件的话联系我 |
| | | const init = async () => { |
| | | await nets.ssdMobilenetv1.loadFromUri('./models') |
| | | } |
| | | /** @name 调用摄像头 */ |
| | | const getUserMedia = (success: NavigatorUserMediaSuccessCallback, error: NavigatorUserMediaErrorCallback) => { |
| | | const constraints = { |
| | | audio:false, |
| | | video: { |
| | | width: 800, |
| | | height: 500 |
| | | } |
| | | } |
| | | if (navigator.mediaDevices.getUserMedia) { |
| | | // 最新的标准API |
| | | console.log('sssdsdsd') |
| | | navigator.mediaDevices.getUserMedia(constraints).then(success).catch(error) |
| | | } else if (navigator.webkitGetUserMedia) { |
| | | // webkit核心浏览器 |
| | | navigator.webkitGetUserMedia(constraints, success, error) |
| | | } else if (navigator.mozGetUserMedia) { |
| | | // firfox浏览器 |
| | | navigator.mozGetUserMedia(constraints, success, error) |
| | | } else if (navigator.getUserMedia) { |
| | | // 旧版API |
| | | navigator.getUserMedia(constraints, success, error) |
| | | } |
| | | } |
| | | /** @name 截取快照 */ |
| | | const cameraShoot = (video: HTMLVideoElement, startPoint: { x: number; y: number }, width: number, height: number) => { |
| | | const canvas = document.createElement('canvas') |
| | | canvas.width = video.videoWidth |
| | | canvas.height = video.videoHeight |
| | | canvas.getContext('2d')?.drawImage(video, 0, 0, canvas.width, canvas.height) |
| | | const imgSrc = canvas?.toDataURL('image/png'); |
| | | return imgSrc |
| | | } |
| | | // 画盒子 |
| | | const drawBox = (box: Box<any> | faceapi.IBoundingBox | faceapi.IRect, label: string) => { |
| | | if (!canvas.value) return |
| | | const context = canvas.value.getContext('2d') |
| | | context?.clearRect(box.x, box.y, box.width, box.height) |
| | | const drawBox = new draw.DrawBox(box, { |
| | | label: label, |
| | | boxColor:'#409EFF' |
| | | }) |
| | | drawBox.draw(canvas.value) |
| | | } |
| | | // 停止 |
| | | const handleStopVideo = () => { |
| | | if (stream.value) { |
| | | stream.value.getTracks().forEach((track: { stop: () => void; }) => { |
| | | track.stop() |
| | | }) |
| | | } |
| | | } |
| | | </script> |
| | | <style src="./index.css" /> |
| | | <style lang="less" scoped> |
| | |
| | | justify-content: center; |
| | | border-radius: 2px; |
| | | .rWrapp { |
| | | width: 500px; |
| | | display: flex; |
| | | flex-direction: column; |
| | | align-items: center; |
| | | justify-content: center; |
| | | position: relative; |
| | | // transform: rotateY(180deg); |
| | | overflow: hidden; |
| | | canvas { |
| | | position: absolute; |
| | | top: 0; |
| | | width: 800px; |
| | | height: 500px; |
| | | margin: auto; |
| | | // margin-top: 30px; |
| | | position: relative; |
| | | .myCanvas { |
| | | position: absolute; |
| | | top: 0; |
| | | left: 0; |
| | | border-radius: 50%; |
| | | width: 100%; |
| | | height: 100%; |
| | | } |
| | | #myVideo { |
| | | width: 100%; |
| | | height: 100%; |
| | | border-radius: 50%; |
| | | object-fit: cover; |
| | | } |
| | | border-radius: 20%; |
| | | } |
| | | video { |
| | | object-fit: fill; |
| | | width: 800px; |
| | | height: 500px; |
| | | border-radius: 20px; |
| | | } |
| | | } |
| | | .status { |
| | | //margin-top: 100px; |