微信小程序_阿里云api人脸识别
敲黑板!基本步骤主要代码实现CompareFaceCompareFacegithub链接说明: 本微信小程序旨在利用 阿里云人脸人体api:CompareFace、DetectBodyCount、DetectLivingFace等实现人脸识别、人脸数目检测、活体检测等功能~基本步骤1.开通阿里云oss,并把权限设置为公共读【私密的话得想办法搞到加密的url,但是因为我比较菜,只能曲线救国,设...
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说明: 本微信小程序旨在利用 阿里云人脸人体api:CompareFace、DetectBodyCount、DetectLivingFace等实现人脸识别、人脸数目检测、活体检测等功能~
基本步骤
1.开通阿里云oss,并把权限设置为公共读【私密的话得想办法搞到加密的url,但是因为我比较菜,只能曲线救国,设置成公共读直接得到绝对的url】
2.码代码实现功能
原始的Node.js代码可以利用OpenAPI Explorer查看示例代码:
链接: link
主要代码实现
CompareFace
// 部署:在 cloud-functions/comapre 文件夹右击选择 “上传并部署”
const cloud = require('wx-server-sdk')
// 初始化 cloud
cloud.init({
// API 调用都保持和云函数当前所在环境一致
env: cloud.DYNAMIC_CURRENT_ENV
})
exports.main = async(event, context) => {
var that = this;
const wxContext = cloud.getWXContext()
//aliyun api 请求
const Core = require('@alicloud/pop-core');
var client = new Core({
accessKeyId: 'balabala',//这儿改成你自己的accessKeyId
accessKeySecret: 'balabala',//这儿改成你自己的accessKeySecret
endpoint: 'https://facebody.cn-shanghai.aliyuncs.com',
apiVersion: '2019-12-30'
});
var params = {
"RegionId": "cn-shanghai",
"ImageURLA":event.answerurl,
"ImageURLB":event.clockurl
}
var requestOption = {
method: 'POST'
};
let CompareFace = await client.request('CompareFace', params, requestOption).then(result => {
var arrJosn = JSON.stringify(result);
var deArr = JSON.parse(arrJosn);
console.log(deArr);
const Confidence = parseInt(deArr['Data']['Confidence']);
console.log('Confidence', Confidence);
var same_person_flag = false
if (Confidence > 70) {
console.log("yes");
same_person_flag = true
}
console.log('人脸比对成功', same_person_flag)
return {result: same_person_flag}
}).catch(error => {
console.log('人脸比对失败')
return {result: "error!" }
})
const result = CompareFace.result
console.log("result", result);
return {
same_person: result
}
}
CompareFace
// 部署:在 cloud-functions/login 文件夹右击选择 “上传并部署”
const cloud = require('wx-server-sdk')
// 初始化 cloud
cloud.init({
// API 调用都保持和云函数当前所在环境一致
env: cloud.DYNAMIC_CURRENT_ENV
})
/**
* 调用阿里云api实现人脸计数和活体检测
*
* event 参数包含小程序端调用传入的superviseurl answerurl
*
*/
exports.main = async(event, context) => {
const wxContext = cloud.getWXContext()
//aliyun api 请求
const Core = require('@alicloud/pop-core');
var client = new Core({
accessKeyId: 'balabala',//这儿改成你自己的accessKeyId
accessKeySecret: 'balabala',//这儿改成你自己的accessKeySecret
endpoint: 'https://facebody.cn-shanghai.aliyuncs.com',
apiVersion: '2019-12-30'
});
var params_DetectBodyCount = {
"RegionId": "cn-shanghai",
"ImageURL": event.superviseurl//url_supervise_img_id
}
console.log("params_DetectBodyCount", params_DetectBodyCount);
var params_DetectLivingFace = {
"RegionId": "cn-shanghai",
"Tasks.1.ImageURL": event.superviseurl//url_supervise_img_id
}
console.log("params_DetectLivingFace", params_DetectLivingFace);
var requestOption = {
method: 'POST'
};
//DetectBodyCount_api
let DetectBodyCount = await client.request('DetectBodyCount', params_DetectBodyCount, requestOption).then(result => {
var arrJosn = JSON.stringify(result);
var deArr = JSON.parse(arrJosn);
console.log('DetectBodyCount',deArr);
const PersonNumber = parseInt(deArr['Data']['PersonNumber']);
console.log('PersonNumber', PersonNumber);
return { result: PersonNumber }
}).catch(error => {
console.log('DetectBodyCount失败')
return { result: "error!" }
})
//DetectLivingFace_api
let DetectLivingFace = await client.request('DetectLivingFace', params_DetectLivingFace, requestOption).then(result => {
var arrJosn = JSON.stringify(result);
var deArr = JSON.parse(arrJosn);
console.log('DetectLivingFace',deArr);
const Label = deArr['Data']['Elements'][0]['Results'][0]['Label'];
console.log('Label', Label);
return { result: Label}
}).catch(error => {
console.log('DetectLivingFace失败')
return { result: "error!" }
})
var result_final='出错啦!'
const PersonNumber = DetectBodyCount.result
if (PersonNumber == 0) {
result_final = '快回来学习呀!'
}
if (PersonNumber == 1) {
const Label = DetectLivingFace.result
if (Label == 'normal') {
result_final = '认真学习中~'
}
if (Label == 'liveness') {
result_final = '检测出翻拍照片~'
}
}
if (PersonNumber > 1) {
result_final = '检测到多人~'
}
console.log("result_final", result_final);
return {
result_final: result_final
}
}
github链接
走过路过千万不要错过啊~有钱的捧个钱场
~没钱的捧个人场 ~来给大家表演个菜鸟写代码啊!
https://github.com/Fish08042/wechat_miniprogram_by_Ali_facebody
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