From b5e123281f226d6d191ca161aa331b1c2064f6a1 Mon Sep 17 00:00:00 2001
From: chenyc <501753378@qq.com>
Date: 星期二, 21 十月 2025 16:02:26 +0800
Subject: [PATCH] 添加界面参数
---
src/samples/faceApi.ts | 180 +++++++++++++++++++++++++++++++++++++++++++++++++++++++----
1 files changed, 167 insertions(+), 13 deletions(-)
diff --git a/src/samples/faceApi.ts b/src/samples/faceApi.ts
index d7a8d3e..4a0a1aa 100644
--- a/src/samples/faceApi.ts
+++ b/src/samples/faceApi.ts
@@ -9,7 +9,18 @@
import { confingInfoStore } from '@/stores/StoresConfing'
import {sendPationCodeApi} from './httpApi'
import { sockteStore } from '@/stores/sockteInfo';
-import { type } from 'os';
+
+
+var AipFaceClient = require("baidu-aip-sdk").face;
+
+// 设置APPID/AK/SK 百度人脸识别
+var APP_ID = "119524671";
+var API_KEY = "53x6fo60pAGACz078FyT2QpY";
+var SECRET_KEY = "r06aXtscuAk2SXHk1FsGM66aUCoGzncU";
+
+// 新建一个对象，建议只保存一个对象调用服务接口
+var clientBaidu = new AipFaceClient(APP_ID, API_KEY, SECRET_KEY);
+
// 要识别的人脸库
@@ -40,10 +51,11 @@
return ossUrl
}
/**
- *
+ * 阿里云人脸识别
* @param path 图片路径
*/
const faceShibie= async(path:any)=>{
+ console.log('文件路径',path)
const fileStream = fs.createReadStream(path);
let client=createClient()
// 通过本地文件
@@ -86,22 +98,146 @@
delImg(path)
})
}
+/**
+ * 百度人脸识别
+ * @param path base64
+ */
+const faceSearchBaidu=async(path:any)=>{
+ const faceScore=confingInfoStore().confingInfo.face_score
+ console.log('文件路径百度识别')
+ try {
+
+ var image = path; // 图片的 base64 数据，图片大小不超过 10M，支持 JPG、PNG、BMP、JPEG 格式
+
+ var imageType = "BASE64";
+
+ var groupIdList = confingInfoStore().confingInfo.clientCode; // 人脸库ID列表，多个用逗号分隔，最多支持20个
+
+ // 调用人脸搜索
+ clientBaidu.search(image, imageType, groupIdList).then(function(result: any) {
+ console.log(result.error_msg==='SUCCESS','百度人脸识别成功');
+ console.log(result.result.user_list);
+ if(result.error_msg==='SUCCESS'){
+ if(result.result.user_list.length>0){
+ const userList=result.result.user_list
+ const user=userList[0]
+ const entityId=user.user_id
+ const score=user.score
+ console.log(`entityId=`+entityId+','+'score='+score)
+ //设置识别的的两 要大于多少
+ if(entityId!=='unknown'&&score>=faceScore){
+ console.log(entityId,'得到了人脸识别id,存患者code到vuex')
+ sockteStore().setfaceSockte({
+ deviceType: "人脸识别",
+ deviceName: "百度人脸识别",
+ result: entityId,
+ resultTime: new Date().toLocaleString(),
+ })
+ }
+ }
+ }
+
+ }).catch(function(err: any) {
+ // 如果发生网络错误
+ console.log(err);
+ });
+ } catch (err:any) {
+ console.error('发生错误:', err.message);
+
+ }
+
+}
+// 验证---逻辑
+const yanzhengimg=async(path:any)=>{
+ console.log('文件路径--逻辑',path)
+ const fileStream = fs.createReadStream(path);
+ let client=createClient()
+ // 通过本地文件
+ const facedata= confingInfoStore().confingInfo.face_database
+ const faceScore=confingInfoStore().confingInfo.face_score
+ let searchFaceAdvanceRequest = new $facebody20191230.SearchFaceAdvanceRequest();
+ searchFaceAdvanceRequest.imageUrlObject = fileStream;
+ searchFaceAdvanceRequest.dbName = facedata
+ searchFaceAdvanceRequest.limit = 2;
+ let runtime = new $Util.RuntimeOptions({ });
+ client.searchFaceAdvance(searchFaceAdvanceRequest, runtime).then(re=>{
+ if(re.statusCode===200){
+ const matchList=re.body.data?.matchList
+ // console.log('得到的人脸库')
+ console.log(matchList)
+ if(matchList?.length>0){
+ const faceItems =matchList[0].faceItems
+ if(faceItems?.length===0){
+ console.log('没有找到患者对应的人脸')
+ return false
+ }
+ if(faceItems[0].score>=faceScore){
+ const entityId=faceItems[0].entityId
+ console.log(entityId,'得到了人脸识别id,存患者code到vuex')
+ sockteStore().setfaceSockte({
+ deviceType: "人脸识别",
+ deviceName: "人脸识别",
+ result: entityId,
+ resultTime: ''
+ })
+ }else{
+ console.log('没有找到患者对应的人脸')
+ }
+ }
+
+ }
+ }).finally(()=>{
+ // console.log('---------------都要执行的')
+ // 删除图片
+ delImg(path)
+ })
+}
+/**
+ * 本地人脸识别
+ * @param path
+ */
const faceApiCheck=async(path:any)=>{
+ const faceScore=confingInfoStore().confingInfo.face_score
fs.readFile(path, (err, data) => {
if (err) throw err;
let blobFile = new File([data], 'name.png', {type:"image/png"})
console.log(blobFile)
const formData = new FormData() // 下面有备注
- formData.append('File1', blobFile)
+ formData.append('image', blobFile)
checkUploadFile(formData).then(re=>{
- console.log('-----')
+ console.log('-----',re)
+ if(re.code===200&&re?.data?.data.result.length>0&&re?.data?.data.result[0]){
+ const result=re?.data?.data.result[0]
+ const entityId=result.user_id
+ const distance=result.score
+ console.log(`entityId=`+entityId+','+'distance='+distance)
+ //设置识别的的两 要大于多少
+ if(entityId!=='unknown'&&distance>=faceScore){
+ console.log(entityId,'得到了人脸识别id,存患者code到vuex')
+ console.log(entityId,'得到了人脸识别id,存患者code到vuex')
+ sockteStore().setfaceSockte({
+ type: "人脸识别",
+ deviceName: "人脸识别",
+ result: entityId,
+ resultTime: '',
+ state:2,
+ })
+ }
+ //
+ }else{
+ console.log('本地没识别')
+ }
+
+ }).finally(()=>{
+ // 删除图片
+ delImg(path)
})
})
-}
-// base64z转文件后验证
+ }
+ // base64z转文件后验证
const base64toFile = (dataurl:any,filename='file') => {
if (!fs.existsSync('./imgs')) {
fs.mkdir('./imgs', (err) => {
@@ -118,14 +254,30 @@
if (err) {
console.log(err);
} else {
-
- // console.log('写入成功！验证阿里', path);
- // getOssUrl(path)
- // 验证图片
- faceShibie(path)
- // faceApiCheck(path)
+ // 是否本地识别
+ const isLanFace= confingInfoStore().confingInfo.isLanFace
+ // 人脸识别类型
+ const faceType= confingInfoStore().confingInfo.faceType
+ if(isLanFace===true){
+ console.log('本地识别')
+ //本地识别
+ faceApiCheck(path)
+ }else{
+ //阿里验证外网
+ if(faceType==='阿里云'){
+ console.log('阿里识别')
+ faceShibie(path)
+ }else if(faceType==='百度'){
+ console.log('百度识别')
+ faceSearchBaidu(base64)
+ //直接删除
+ delImg(path)
+ }else{
+ console.log('阿里识别')
+ faceShibie(path)
+ }
}
- })
+ } });
}
//验证后删除文件图片
const delImg=(path:string)=>{
@@ -137,7 +289,9 @@
}
})
}
+
export {
+ yanzhengimg,
createClient,
faceShibie,
base64toFile
--
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