识别身份证模块

common/httpList/userInfo.js

@@ -45,4 +45,12 @@ export default {
 			data: data,
 		})
 	},
+	getUserSubscribeRecentExam(data) {
+		return myRequest({
+			url: '/user/subscribe/recentExam',
+			method: 'get',
+			data: data,
+		})
+	},
+	
 }

common/methodTool.js

@@ -124,7 +124,17 @@ export default {
 				success: async res => {
 					let canvasWidth = res.width; //图片原始长宽
 					let canvasHeight = res.height;
-					if (canvasWidth > 1000 || canvasHeight > 1000) {
+					if (canvasWidth > 2000 || canvasHeight > 2000) {
+						uni.compressImage({
+							src: url,
+							quality: 75,
+							width: '35%',
+							height: '35%',
+							success: rest => {
+								resolve(rest.tempFilePath);
+							}
+						});
+					} else if(canvasWidth > 1000 || canvasHeight > 1000){
 						uni.compressImage({
 							src: url,
 							quality: 75,

components/course/courseChapter.vue

@@ -194,6 +194,7 @@ export default {
 			})
 		},
 		openChapter(item){
+			console.log(this.menuItem)
 			this.down = !this.down
 			if(!this.down&&this.list.length==0){
 				console.log(item.id,69)

pages.json

@@ -686,6 +686,15 @@
 					}
 				}
 			}
+		},{
+			"path": "imgCompare/index",
+			"style": {
+				"navigationBarTitleText": "",
+				"app-plus": {
+					"titleNView": false, //禁用原生导航栏 
+					"bounce": "none"
+				}
+			}
 		}],
 		"plugins": {
 			"polyv-player": {

pages/index/index.vue

@@ -7,12 +7,12 @@
 		</u-navbar>
 		<view class="swiper">
 			<swiper :indicator-dots="false" indicator-color="#fff" indicator-active-color="#007AFF" :style="{'height':swiperHeight+'rpx'}" @change="swiperChange" :interval="interval" :duration="duration"  :autoplay="autoplay" :circular="true">
-				<!-- <swiper-item v-for="(swiper,index) in list" :key="index" @click="swiperClick(swiper)">
+				<swiper-item v-for="(swiper,index) in list" :key="index" @click="swiperClick(swiper)">
 					<image @load="imageLoad" :src="$method.splitImgHost(swiper.adverUrl, true)" mode="widthFix"></image>
-				</swiper-item> -->
-				<swiper-item >
-					<image @load="imageLoad" src="http://file.xyyxt.net/oss/images/file/20220111.jpg" mode="widthFix"></image>
 				</swiper-item>
+				<!-- <swiper-item >
+					<image @load="imageLoad" src="http://file.xyyxt.net/oss/images/file/20220111.jpg" mode="widthFix"></image>
+				</swiper-item> -->
 				
 				
 			</swiper>
@@ -35,16 +35,12 @@
 				<view class="calendar_card">
 					<view class="card_box">
 						<u-row gutter="16">
-							<u-col span="11" v-if="false">
-								<view>
-									<text class="t1">距离</text> 
-									<text class="t2">二级建造师</text>
-									<text class="t1">考试</text>
-									<text class="t3">365</text>
-									<text class="t1">天,继续加油哦！</text>
+							<u-col span="10" >
+								<view  style="height:60rpx;">
+									<text class="t1" v-if="nearByDay > 0">距离最近一次考试还剩{{nearByDay}}天</text> 
 								</view>
 							</u-col>
-							<u-col offset="11" span="1">
+							<u-col offset="1" span="1">
 								<view @click="jumpPlan"><image src="/static/more.png" class="img_more"></image></view>
 							</u-col>
 						</u-row>
@@ -152,6 +148,7 @@ export default {
 			interval: 2000,
 			duration: 500,
 			swiperHeight:0,
+			nearByDay:'', //距离最近一天考试时间
 			menu: [{
 					name: '推荐课程',
 				}, {
@@ -189,7 +186,7 @@ export default {
 		this.init()
 		this.courseList();
 		this.bankList();
-		this.getAdvertising()
+		this.getAdvertising();
 	},
 	onShow() {
 		if (uni.getStorageSync('updateHome')|| !this.isOld){
@@ -277,6 +274,13 @@ export default {
 			await this.advertisingList();
 		},
 		
+		getUserSubscribeRecentExam() {
+			this.$api.getUserSubscribeRecentExam().then(res => {
+				this.nearByDay = res.data.data;
+				console.log(res)
+			})
+		},
+		
 		advertisingHomeLocation() {
 			return new Promise(resolve => {
 				this.$api.advertisingHomeLocation().then(res => {
@@ -464,6 +468,7 @@ export default {
 				this.workList = [];
 				this.planGoodsList = [];
 				this.userPlanSeven();
+				this.getUserSubscribeRecentExam();
 			}
 		},
 		getMonDate() {
@@ -971,26 +976,12 @@ page {
 .calendar_card .card_box {
 	height: 60rpx;
 	line-height: 60rpx;
-	margin-left: 40rpx;
+	margin-left: 20rpx;
 }
 .calendar_card .t1 {
-	color: #7f8caf;
+	color: #007AFF;
 	font-size: 24rpx;
 }
-.calendar_card .t2 {
-	font-size: 24rpx;
-	font-family: PingFang SC;
-	font-weight: bold;
-	color: #32467b;
-	margin: 0 10rpx;
-}
-.calendar_card .t3 {
-	font-size: 30rpx;
-	font-weight: bold;
-	color: #32467b;
-	text-shadow: 0rpx 3rpx 3rpx rgba(0, 0, 0, 0.2);
-	margin: 0 10rpx;
-}
 .img_more {
 	width: 26rpx;
 	height: 26rpx;

pages2/appointment/kporder.vue

@@ -120,11 +120,11 @@ export default {
 			var self = this;
 			const index = this.listData.findIndex(item => item.checked);
 			if (index === -1) {
-				uni.showToast({
-					title: '请选择考前培训地点',
-					icon: 'none'
-				});
-				return;
+				// uni.showToast({
+				// 	title: '请选择考前培训地点',
+				// 	icon: 'none'
+				// });
+				// return;
 			}
 			if (this.addressId === this.listData[index].id) {
 				this.address_show = false;
@@ -135,20 +135,20 @@ export default {
 			var arrays = [];
 			this.listData[index].examUserApplySiteTime.forEach(item => {
 				if(item.examTime < self.applyDs.applySiteExamTime){
-				item.examApplySiteTimeTwoVo.forEach(items => {
-					arrays.push({
-						examTime: item.examTime,
-						startTimeC: items.startTime,
-						endTimeC: items.endTime,
-						dataTime: self.$method.timestampToTime(item.examTime),
-						startTime: items.startTime,
-						endTime: items.endTime,
-						num: items.num,
-						registration: items.registration,
-						checked: false,
-						status: items.status === 1 ? items.status : items.registration >= items.num ? 2 : items.status
+					item.examApplySiteTimeTwoVo.forEach(items => {
+						arrays.push({
+							examTime: item.examTime,
+							startTimeC: items.startTime,
+							endTimeC: items.endTime,
+							dataTime: self.$method.timestampToTime(item.examTime),
+							startTime: items.startTime,
+							endTime: items.endTime,
+							num: items.num,
+							registration: items.registration,
+							checked: false,
+							status: items.status === 1 ? items.status : items.registration >= items.num ? 2 : items.status
+						});
 					});
-				});
 				}
 			});
 			this.activeList = arrays.filter((item,index) => {

pages2/appointment/order.vue

@@ -132,12 +132,15 @@ export default {
 				});
 			});
 			this.activeList = arrays.filter((item,index) => {
+				console.log(item)
 				const newTime = parseInt(new Date().getTime() / 1000)
-				const liTime = parseInt(new Date(item.dataTime + '' + item.startTime + ':00').getTime() / 1000)
+				const liTime = parseInt(new Date(item.dataTime.replace(/-/g,'/') + '' + item.startTime + ':00').getTime() / 1000)
 				if(liTime > newTime){
 					return item
 				}
 			});
+			
+			console.log(this.activeList)
 			this.address_show = false;
 		},
 		choItem(index) {

pages2/bank/detail.vue

@@ -136,6 +136,8 @@ export default {
 		toFixed(number) {
 			if(number) {
 				return number.toFixed(2)
+			} else {
+				return '0.00'
 			}
 		},
 		getDetail() {

pages2/class/questionBank.vue

@@ -771,18 +771,27 @@ export default {
 					success: async res => {
 						let canvasWidth = res.width; //图片原始长宽
 						let canvasHeight = res.height;
-						if (canvasWidth > 1000 || canvasHeight > 1000) {
+						if (canvasWidth > 2000 || canvasHeight > 2000) {
+							uni.compressImage({
+								src: self.avatarUrl,
+								quality: 75,
+								width: '35%',
+								height: '35%',
+								success: rest => {
+									resolve(rest.tempFilePath);
+								}
+							});
+						} else if(canvasWidth > 1000 || canvasHeight > 1000){
 							uni.compressImage({
 								src: self.avatarUrl,
 								quality: 75,
 								width: '50%',
 								height: '50%',
-								success: async rest => {
-									const waitUpload = await self.uploadFile(rest.tempFilePath, 0);
-									resolve();
+								success: rest => {
+									resolve(rest.tempFilePath);
 								}
 							});
-						} else {
+						}  else {
 							console.log('无需压缩');
 							const waitUpload = await self.uploadFile(self.avatarUrl, 0);
 							resolve();

pages2/wd/avatar.vue

@@ -44,7 +44,18 @@
 						success: async res => {
 							let canvasWidth = res.width; //图片原始长宽
 							let canvasHeight = res.height;
-							if (canvasWidth > 1000 || canvasHeight > 1000) {
+							if (canvasWidth > 2000 || canvasHeight > 2000) {
+								uni.compressImage({
+									src: self.avatarUrl,
+									quality: 75,
+									width: '35%',
+									height: '35%',
+									success: async rest => {
+										const waitUpload = await self.uploadFile(rest.tempFilePath, 0);
+										resolve()
+									} 
+								});
+							} else if (canvasWidth > 1000 || canvasHeight > 1000) {
 								uni.compressImage({
 									src: self.avatarUrl,
 									quality: 75,

pages2/wd/edu_info.vue

@@ -152,7 +152,18 @@
 						success: async res => {
 							let canvasWidth = res.width; //图片原始长宽
 							let canvasHeight = res.height;
-							if (canvasWidth > 1000 || canvasHeight > 1000) {
+							if (canvasWidth > 2000 || canvasHeight > 2000) {
+								uni.compressImage({
+									src: self.fileList[0].url,
+									quality: 75,
+									width: '35%',
+									height: '35%',
+									success: async rest => {
+										const waitUpload = await self.uploadFile(rest.tempFilePath, 0);
+										resolve()
+									} 
+								});
+							} else if (canvasWidth > 1000 || canvasHeight > 1000) {
 								uni.compressImage({
 									src: self.fileList[0].url,
 									quality: 75,

pages2/wd/info.vue

@@ -252,7 +252,18 @@ export default {
 					success: async res => {
 						let canvasWidth = res.width; //图片原始长宽
 						let canvasHeight = res.height;
-						if (canvasWidth > 1000 || canvasHeight > 1000) {
+						if (canvasWidth > 2000 || canvasHeight > 2000) {
+							uni.compressImage({
+								src: self.avatarUrl,
+								quality: 75,
+								width: '35%',
+								height: '35%',
+								success: async rest => {
+									const waitUpload = await self.uploadFile(rest.tempFilePath, 0);
+									resolve()
+								} 
+							});
+						} else if (canvasWidth > 1000 || canvasHeight > 1000) {
 							uni.compressImage({
 								src: self.avatarUrl,
 								quality: 75,

pages3/imgCompare/index.vue

@@ -0,0 +1,2440 @@
+<template>
+	<view>
+		<div class="camera-wrap">
+			<camera ref="camera" resolution="high" class="camera" frame-size="small"  device-position="back" flash="off"  @error="error"></camera>
+			<image class="avatar" src="../static/avatar.png"></image>
+		</div>
+		<button @click="takePhoto">精度{{point}}</button>
+		<text>{{isCard?'拍到了':''}}</text>
+		<!-- <image class="img" :src="src" mode="widthFix"></image> -->
+		<!-- <view style="width:0;height:0;overflow: hidden;"> -->
+			<canvas class="canvas"  canvas-id="canvas1"></canvas>
+			<canvas class="canvas"  canvas-id="canvas"></canvas>
+		<!-- </view> -->
+		
+	</view>
+</template>
+
+<script>
+import { mapGetters } from 'vuex';
+export default {
+	data() {
+		return {
+			point:0,
+			context:null,
+			src:"",
+			isCompare:false,
+			isCard:false,
+			frontData:[
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    0,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    0,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    0,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    0,
+    1,
+    0,
+    0,
+    0,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    0,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    1,
+    0,
+    1,
+    0,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1,
+    1
+], //身份证人脸面模板特征值
+			backData:'1111100111111111111110110111111101111110111111111111111111110011111111111111111111111111111111111110001111101111111110111110111111000001111000010100101011001111110000011110010101001000000011110000000111111111100011101110111110000000111111111111111110111111100000001111111111111111111111111000000110101100110011001101010111000001000011101100010001000111110000011000110011001100010001000100000110001000110011000100010111100111111111101110110010110101110011111111111111100011111101111111111111111111111100111011110111111010111111111111001100011111110110011101111111110000011111111111111111111111111001101111111111110111111101111100111101111111111110011110111110100101000111110110101111101111111111111011111111111111111110010110011110111110111111100000000000000101101111101111111100001000000010011011111001111111111111111110100110111111111011111011111111100111111111111111111000001010110000001011111111011110000010001101000010011111111001111111111111111111111111110111111111111111111111111111111101111111111111111101111111111110'  //身份证国徽面模板特征值
+		};
+	},
+	computed: { ...mapGetters(['userInfo','goodsAuditionConfigIdList','playSectionId']) },
+	onLoad(option) {
+		
+	},
+	onUnload(option) {
+		
+	},
+	mounted() {
+		
+		this.context = uni.createCanvasContext('canvas')
+		const ctx = uni.createCameraContext();
+		const listener = ctx.onCameraFrame(frame => {
+			if(!this.isCompare) {
+				this.isCompare = true;
+				
+				uni.getSystemInfo({
+				　　success: (res) => { // res - 各种参数
+				
+				　　    let info = uni.createSelectorQuery().select(".canvas");
+				　　　  　info.boundingClientRect((data1) => { //data - 各种参数
+							var buffer = new Uint8ClampedArray(frame.data);
+							//获取是实时拍照原图
+							uni.canvasPutImageData({
+								  canvasId: 'canvas',
+								  x: 0,
+								  y: 0,
+								  width: frame.width,
+								  height: frame.height,
+								  data: buffer,
+								  success:(res) => {
+									  //生成图片
+									  uni.canvasToTempFilePath({
+									    quality:1,
+									    x: 0,
+									    y: 0,
+									    width: frame.width,
+									    height: frame.height,
+										destWidth:data1.width,
+										destHeight:data1.height,
+									    canvasId: 'canvas',
+									    success: (res) => {
+											// 在H5平台下，tempFilePath 为 base64
+											
+											//绘制原图到canvas上
+											
+											this.context.drawImage(res.tempFilePath,0,0,data1.width,data1.height)
+											this.context.draw();
+										  
+											let avatarInfo = uni.createSelectorQuery().select(".avatar");
+											
+											//获取原图扫描框大小
+											avatarInfo.boundingClientRect((data) => {  
+												// //data - 各种参数
+												let left = data.left;
+												let top = data.top;
+												let width = data.width;
+												let height = data.height;
+												
+												//获取原图扫描框内容
+												uni.canvasGetImageData({
+												  canvasId: 'canvas',
+												  x: left,
+												  y: top,
+												  width: width,
+												  height: height,
+												  success:(res) => {
+													// this.isCompare = false;
+													  
+													  
+														//绘制扫描图片
+													    uni.canvasPutImageData({
+															canvasId: 'canvas',
+															x: 0,
+															y: 0,
+															width: width,
+															height: height,
+															data: res.data,
+															success:(res) => {
+													  		  //生成图片
+													  		    uni.canvasToTempFilePath({
+																  quality:1,
+													  		      x: 0,
+													  		      y: 0,
+																  destWidth:width,
+																  destHeight:height,
+													  		      width: width,
+													  		      height: height,
+													  		      canvasId: 'canvas',
+													  		      success:async  (res1) => {
+													  		  		//绘制并压缩
+																	
+													  		  		this.context.drawImage(res1.tempFilePath,0,0,width,height,0,0,44,44)
+													  		  		this.context.draw();
+																	
+																		let res = await this.canvasGetImageData('canvas');
+																		let newData = Array(res.data.length)
+																		newData.fill(0)  
+																		res.data.forEach((_data, index) => {  
+																		  if ((index + 1) % 4 === 0) {  
+																			const R = res.data[index - 3]  
+																			const G = res.data[index - 2]  
+																			const B = res.data[index - 1] 
+																			const gray = ~~((R + G + B) / 3)  
+																			
+																			res.data[index - 3] = gray  
+																			res.data[index - 2] = gray  
+																			res.data[index - 1] = gray 
+																			res.data[index] = 255 // Alpha 值固定为255  
+																		  }  
+																		})
+																		uni.canvasPutImageData({
+																			canvasId: 'canvas1',
+																			x: 0,
+																			y: 0,
+																			width: res.width,
+																			height: res.height,
+																			data: res.data,
+																			success:(res) => {
+																				// this.isCompare = false;
+																				uni.canvasToTempFilePath({
+																					destWidth:res.width,
+																					destHeight:res.height,
+																					quality:1,
+																				  x: 0,
+																				  y: 0,
+																				  width: width,
+																				  height: height,
+																				  canvasId: 'canvas1',
+																				  success: (res2) => {
+																					  this.src = res2.tempFilePath
+																				  },
+																				})
+																			},
+																			fail:err => {
+																				console.log(err,'err')
+																			}
+																		})
+																		
+																		
+																		
+																		// for (let i = 0; i < newData.length; i += 4) {  
+																		//   let R = newData[i]  
+																		//   let G = newData[i + 1]  
+																		//   let B = newData[i + 2]  
+																		//   let Alpha = newData[i + 3] 
+																		// }  
+																		// let getData = this.getHashFingerprint(res)
+																		let threshold = this.OTSUAlgorithm(res)
+																		let newImgData = this.binaryzation(res, threshold);
+																		let fingerprint = this.getContentFeatureFingerprint(newImgData);
+																		// let result = this.getPHashFingerprint(res)
+																		let similarty = this.cosineSimilarity(this.frontData,fingerprint)
+																		// let distance = this.hammingDistance(this.frontData,result)
+																		// let similarty =  (this.frontData.length - distance) / this.frontData.length
+																		if(similarty >= 0.9) {
+																			this.src = res1.tempFilePath
+																			this.isCard = true;
+																		} 
+																		
+																		this.point = similarty
+																		
+																		setTimeout(() => {
+																			this.isCompare = false;
+																		},200)
+																		console.log(similarty,'similarty')
+																			
+													  		  	},
+													  		  })
+															},
+														})
+													  
+													  
+													  
+													  
+													  
+														
+													    
+													}
+												})
+											}).exec()
+											  
+										 }
+										 
+									  })
+								  },
+								  fail(err) {
+									  console.log(err)
+								  }
+							})
+				　　    }).exec()
+					   }
+				});
+				
+				
+				
+			}
+		})
+		
+		listener.start()
+	},
+	methods: {
+		error(err) {
+			console.log(err)
+		},
+		
+		getContentFeatureFingerprint(imgData) {
+		    const data = imgData.data;
+		    const contentFeature = [];
+		    for (let i = 0; i < data.length; i += 4) {
+		        contentFeature.push(data[i] === 255 ? 1 : 0);
+		    }
+		    return contentFeature;
+		},
+		
+		toGray (imgData) {  
+			const GrayscaleWeight =  {  R : 0.299,  G : 0.587,  B : 0.114  } 
+		  const grayData = []  
+		  const data = imgData.data  
+		  for (let i = 0; i < data.length; i += 4) {  
+		    const gray = ~~(data[i] * GrayscaleWeight.R + data[i + 1] * GrayscaleWeight.G + data[i + 2] * GrayscaleWeight.B)  
+		    data[i] = data[i + 1] = data[i + 2] = gray  
+		    grayData.push(gray)  
+		  }  
+		  return grayData  
+		} ,
+		
+		OTSUAlgorithm (imgData) {  
+			
+		  const grayData = this.toGray(imgData)  
+		  let ptr = 0  
+		  let histData = Array(256).fill(0)  
+		  let total = grayData.length  
+		  while (ptr < total) {  
+		    let h = 0xFF & grayData[ptr++]  
+		    histData[h]++  
+		  }  
+		  let sum = 0  
+		  for (let i = 0; i < 256; i++) {  
+		    sum += i * histData[i]  
+		  }  
+		  let wB = 0  
+		  let wF = 0  
+		  let sumB = 0  
+		  let varMax = 0  
+		  let threshold = 0  
+		  for (let t = 0; t < 256; t++) {  
+		    wB += histData[t]  
+		    if (wB === 0) continue  
+		    wF = total - wB  
+		    if (wF === 0) break  
+		    sumB += t * histData[t]  
+		    let mB = sumB / wB  
+		    let mF = (sum - sumB) / wF  
+		    let varBetween = wB * wF * (mB - mF) ** 2  
+		    if (varBetween > varMax) {  
+		      varMax = varBetween  
+		      threshold = t  
+		    }  
+		  }  
+		  return threshold  
+		},
+		
+		binaryzation (imgData, threshold) {
+		  for (let i = 0; i < imgData.data.length; i += 4) {  
+		    let R = imgData.data[i]  
+		    let G = imgData.data[i + 1]  
+		    let B = imgData.data[i + 2]  
+		    let Alpha = imgData.data[i + 3]  
+		    let sum = (R + G + B) / 3  
+		    imgData.data[i] = sum > threshold ? 255 : 0  
+		    imgData.data[i + 1] = sum > threshold ? 255 : 0  
+		    imgData.data[i + 2] = sum > threshold ? 255 : 0  
+		    imgData.data[i + 3] = Alpha  
+		  }  
+		  return imgData  
+		} ,
+		
+		canvasGetImageData(id) {
+			return new Promise(resolve => {
+				uni.canvasGetImageData({
+					canvasId: id,
+					x: 0,
+					y: 0,
+					width: 44,
+					height: 44,
+					success:(res) => {
+						resolve(res)
+					},
+				})
+			})
+			
+		},
+		
+		hammingDistance (str1, str2) {  
+		  let distance = 0  
+		  const str1str1Arr = str1.split('')  
+		  const str2str2Arr = str2.split('')  
+		  str1str1Arr.forEach((letter, index) => {  
+		    if (letter !== str2str2Arr[index]) {  
+		      distance++  
+		    }  
+		  })  
+		  return distance  
+		} ,
+		
+		cosineSimilarity (sampleFingerprint, targetFingerprint) {  
+		  // cosθ = ∑n, i=1(Ai × Bi) / (√∑n, i=1(Ai)^2) × (√∑n, i=1(Bi)^2) = A · B / |A| × |B|  
+		  const length = sampleFingerprint.length  
+		  let innerProduct = 0  
+		  for (let i = 0; i < length; i++) {  
+		    innerProduct += sampleFingerprint[i] * targetFingerprint[i]  
+		  }  
+		  let vecA = 0  
+		  let vecB = 0  
+		  for (let i = 0; i < length; i++) {  
+		    vecA += sampleFingerprint[i] ** 2  
+		    vecB += targetFingerprint[i] ** 2  
+		  }  
+		  const outerProduct = Math.sqrt(vecA) * Math.sqrt(vecB)  
+		  return innerProduct / outerProduct  
+		} ,
+		
+		createGrayscale (imgData) {  
+		  const newData = Array(imgData.data.length)  
+		  newData.fill(0)  
+		  imgData.data.forEach((_data, index) => {  
+		    if ((index + 1) % 4 === 0) {  
+		      const R = imgData.data[index - 3]  
+		      const G = imgData.data[index - 2]  
+		      const B = imgData.data[index - 1] 
+		       const gray = ~~((R + G + B) / 3)  
+		      newData[index - 3] = gray  
+		      newData[index - 2] = gray  
+		      newData[index - 1] = gray 
+		       newData[index] = 255 // Alpha 值固定为255  
+		    }  
+		  })  
+		  return this.createImgData(newData)  
+		} ,
+		
+		getHashFingerprint (imgData) {  
+		  const grayList = imgData.data.reduce((pre, cur, index) => {  
+		    if ((index + 1) % 4 === 0) {  
+		      pre.push(imgData.data[index - 1])  
+		    }  
+		    return pre  
+		  }, [])  
+		  const length = grayList.length  
+		  const grayAverage = grayList.reduce((pre, next) => (pre + next), 0) / length  
+		  return grayList.map(gray => (gray >= grayAverage ? 1 : 0)).join('')  
+		} ,
+		
+		emoizeCosines (N, cosMap) {  
+		  cosMapcosMap = cosMap || {}  
+		  cosMap[N] = new Array(N * N)  
+		  let PI_N = Math.PI / N  
+		  for (let k = 0; k < N; k++) {  
+		    for (let n = 0; n < N; n++) {  
+		      cosMap[N][n + (k * N)] = Math.cos(PI_N * (n + 0.5) * k)  
+		    }  
+		  }  
+		  return cosMap  
+		}  ,
+		memoizeCosines (N, cosMap) {  
+		  cosMap = cosMap || {}  
+		  cosMap[N] = new Array(N * N)  
+		  let PI_N = Math.PI / N  
+		  for (let k = 0; k < N; k++) {  
+		    for (let n = 0; n < N; n++) {  
+		      cosMap[N][n + (k * N)] = Math.cos(PI_N * (n + 0.5) * k)  
+		    }  
+		  }  
+		  return cosMap  
+		}  ,
+		dct (signal, scale = 2) {  
+		  let L = signal.length  
+		  let cosMap = null  
+		  if (!cosMap || !cosMap[L]) {  
+		    cosMap = this.memoizeCosines(L, cosMap)  
+		  }  
+		  let coefficients = signal.map(function () { return 0 })  
+		  return coefficients.map(function (_, ix) {  
+		    return scale * signal.reduce(function (prev, cur, index) {  
+		      return prev + (cur * cosMap[L][index + (ix * L)])  
+		    }, 0)  
+		  })  
+		} ,
+		
+		createMatrix (arr) {  
+		  const length = arr.length  
+		  const matrixWidth = Math.sqrt(length)  
+		  const matrix = []  
+		  for (let i = 0; i < matrixWidth; i++) {  
+		    const _temp = arr.slice(i * matrixWidth, i * matrixWidth + matrixWidth)  
+		    matrix.push(_temp)  
+		  }  
+		  return matrix  
+		}  ,
+		
+		getMatrixRange (matrix, range = 1) {  
+		  const rangeMatrix = []  
+		  for (let i = 0; i < range; i++) {  
+		    for (let j = 0; j < range; j++) {  
+		      rangeMatrix.push(matrix[i][j]) 
+		     }  
+		  }  
+		  return rangeMatrix  
+		} ,
+		
+		getPHashFingerprint (imgData) {  
+		  const dctData = this.dct(imgData.data)  
+		  const dctMatrix = this.createMatrix(dctData)  
+		  const rangeMatrix = this.getMatrixRange(dctMatrix, dctMatrix.length / 8)  
+		  const rangeAve = rangeMatrix.reduce((pre, cur) => pre + cur, 0) / rangeMatrix.length  
+		  return rangeMatrix.map(val => (val >= rangeAve ? 1 : 0)).join('')  
+		} ,
+		
+		takePhoto() {
+			const ctx = uni.createCameraContext();
+			ctx.takePhoto({
+				quality: 'high',
+				success: res => {
+					this.src = res.tempImagePath;
+				},
+				fail: err => {
+					console.log(err);
+				}
+			});
+		}
+	}
+};
+</script>
+<style >
+	page{
+		background-color: #EAEEF1;
+	}
+</style>
+<style scope lang="scss">
+	.camera-wrap {
+		position: relative;
+		
+		.camera {
+			width: 750rpx;
+			height: 916.67rpx;
+		}
+		
+		.avatar {
+			opacity: 0.3;
+			position:absolute;
+			left:50%;
+			top:40rpx;
+			transform: translateX(-50%);
+			width:633rpx;
+			height:400rpx;
+		}
+	}
+	
+	.canvas {
+		position:fixed;
+		top:9999999%;
+		left:9999999%;  //canvas藏起来
+		width: 750rpx;
+		height: 916.67rpx;
+	}
+	
+	.img {
+		display: block;
+		margin:0 auto;
+		width:633rpx;
+		height:400rpx;
+	}
+</style>

pages3/polyv/detail.vue

@@ -467,7 +467,8 @@ export default {
 		 */
 		sectionPlayEnd(isRebuild,index) {
 			console.log('sectionPlayEnd')
-			console.log('isRebuild',isRebuild)
+			console.log('isRebuild',isRebuild),
+			console.log('index',index)
 			if(this.reMenuList.length>0) {  //有重修目录
 				if(isRebuild.isRebuild) { //从重修点击
 					this.$api.reMenuList({ courseId: this.courseId, rebuild: 1, gradeId: this.gradeId }).then(res => {
@@ -558,6 +559,7 @@ export default {
 						console.log('noRebuild2')
 						if (res.data.code == 200) {
 							res.data.rows[index].name = res.data.rows[index].menuName;
+							res.data.rows[index].id = res.data.rows[index].menuId;
 							this.$set(this.menuList,index,res.data.rows[index])
 						}
 					});
@@ -620,8 +622,10 @@ export default {
 			} else { //没有重修目录
 				this.$api.reMenuList({ courseId: this.courseId, gradeId: this.gradeId }).then(res => {
 						console.log('noRebuild3')
+						console.log('noRebuild3index',index)
 					if (res.data.code == 200) {
 						res.data.rows[index].name = res.data.rows[index].menuName;
+						res.data.rows[index].id = res.data.rows[index].menuId;
 						this.$set(this.menuList,index,res.data.rows[index])
 					}
 				});
@@ -1252,7 +1256,18 @@ export default {
 					success: async res => {
 						let canvasWidth = res.width; //图片原始长宽
 						let canvasHeight = res.height;
-						if (canvasWidth > 1000 || canvasHeight > 1000) {
+						if (canvasWidth > 2000 || canvasHeight > 2000) {
+							uni.compressImage({
+								src: self.avatarUrl,
+								quality: 75,
+								width: '35%',
+								height: '35%',
+								success: async rest => {
+									const waitUpload = await self.uploadFile(rest.tempFilePath, 0);
+									resolve();
+								}
+							});
+						} else if (canvasWidth > 1000 || canvasHeight > 1000) {
 							uni.compressImage({
 								src: self.avatarUrl,
 								quality: 75,