操作步骤
1、SDK安装：openapi-core-nodejs-sdk
npm install @alicloud/pop-core -S2、示例代码：
var RPCClient = require('@alicloud/pop-core').RPCClient;
var client = new RPCClient({
accessKeyId: '******',
accessKeySecret: '******',
endpoint: 'https://face.cn-shanghai.aliyuncs.com',
apiVersion: '2018-12-03'
});
// DetectFace API 人脸检测定位
function DetectFace(ImageUrl_1)
{
var params = {'ImageUrl':ImageUrl_1};
var action = 'DetectFace';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// GetFaceAttribute API 人脸属性识别
function GetFaceAttribute(ImageUrl_1)
{
var params = {'ImageUrl':ImageUrl_1};
var action = 'GetFaceAttribute';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// GetFaceAttribute API 人脸属性识别
function VerifyFace(ImageUrl_1,ImageUrl_2)
{
var params = {'ImageUrl1':ImageUrl_1, 'ImageUrl2':ImageUrl_2};
var action = 'VerifyFace';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// VerifyFace API 人脸比对
function VerifyFace(ImageUrl_1,ImageUrl_2)
{
var params = {'ImageUrl1':ImageUrl_1, 'ImageUrl2':ImageUrl_2};
var action = 'VerifyFace';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// AddFace接口用于向人脸库中添加人脸
function AddFace(groupName, person, image, imageUrl)
{
var params = {'Group':groupName, 'Person':person, 'image':image, 'imageUrl':imageUrl};
var action = 'AddFace';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// DeleteFace接口用于从人脸库中删除人脸
function DeleteFace(groupName, person, image)
{
var params = {'Group':groupName, 'Person':person, 'Image':image};
var action = 'DeleteFace';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// ListFace接口用于列举注册库中的人脸
function ListFace(groupName)
{
var params = {'Group':groupName};
var action = 'ListFace';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// ListGroup接口用于列举人脸组
function ListGroup()
{
var params = {};
var action = 'ListGroup';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// RecognizeFace接口用于查找注册库中的人脸
function RecognizeFace(recognizeFaceImageUrl, groupName)
{
var params = {'Group':groupName, 'ImageUrl':recognizeFaceImageUrl};
var action = 'RecognizeFace';
var requestOption = {
method: 'POST'
}
client.request(action, params, requestOption).then((result) => {
console.log(JSON.stringify(result));
}, (ex) => {
console.log(ex);
})
}
// 参数设置
var image = new Object();
image.imageUrl_1 = 'https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1559655604341&di=3d6995f6dee1c4795d1827e754a00452&imgtype=0&src=http%3A%2F%2Fimg0.ph.126.net%2F90u9atgu46nnziAm1NMAGw%3D%3D%2F6631853916514183512.jpg';
image.imageUrl_2 = 'https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1559655604338&di=ee3d8fb39f6e14a21852a4ac3f2c5a14&imgtype=0&src=http%3A%2F%2Fc4.haibao.cn%2Fimg%2F600_0_100_0%2F1473652712.0005%2F87c7805c10e60e9a6db94f86d6014de8.jpg';
image.groupName = 'defaultjsdemo';
image.person = 'LiuYiFei';
image.image_1 = 'photo1';
image.image_2 = 'photo2';
image.recognizeFaceImageUrl = 'https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1559655604335&di=7b540d703955aed6d235752589aee34a&imgtype=0&src=http%3A%2F%2Fphotocdn.sohu.com%2F20140317%2FImg396736687.jpg';
// 基础方法测试
DetectFace(image.imageUrl_1);
GetFaceAttribute(image.imageUrl_2);
VerifyFace(image.imageUrl_1, image.imageUrl_2);
// 1：N方法测试
//添加入两张人脸
AddFace(image.groupName, image.person, image.image_1, image.imageUrl_1);
AddFace(image.groupName, image.person, image.image_2, image.imageUrl_2);
//列举Group
ListGroup();
//列举Faces
ListFace(image.groupName);
//人脸查询
RecognizeFace(image.recognizeFaceImageUrl);
//删除Face
DeleteFace(image.groupName, image.person, image.image_1)
//列举Faces查询删除情况
ListFace(image.groupName)
3、测试结果
{"Data":"[]","RequestId":"926CA814-CD05-4BBB-9120-4E5FC1B9F0A5","Success":true}
{"Data":["default","default1","defaultPython","defaultPythonDemo1","defaultPythonDemo2","defaultjs"],"RequestId":"FB302E3A-9219-401D-A432-F82B932166D7","Success":true}
{"Data":"ok","RequestId":"5A63DE90-D0A2-4ADF-8DAC-BEB1BF8CD2BB","Success":true}
{"Data":{"mark":0,"list":[]},"RequestId":"E6DB9A52-B7DB-4273-83BF-BBA950E2F301","Success":true}
{"Data":{"mark":0,"list":[]},"RequestId":"57A70054-2D5C-4B40-A1AD-4290E99554F4","Success":true}
{"Data":"ok","RequestId":"FFB0409C-1241-4DC1-BFC9-F2A0596DA644","Success":true}
{"Data":{"expression":[0],"dense_fea":["0.032727491110563278","-0.0082056038081645966","-0.029683364555239677","-0.0096274437382817268","-0.0062350276857614517","-0.0026448068674653769","-0.0067025707103312016","-0.042322065681219101","-0.032813072204589844","0.066940806806087494","-0.031563118100166321","-0.034121245145797729","0.032720323652029037","0.018700320273637772","0.040912583470344543","-0.013406608253717422","0.0017285562353208661","-0.016166945919394493","0.014212021604180336","0.010660518892109394","0.0084707122296094894","0.036787349730730057","0.0049957362934947014","-0.038922004401683807","0.0094015710055828094","0.0068221860565245152","-0.010362580418586731","0.06648186594247818","0.056468170136213303","-0.0043498380109667778","-0.022770209237933159","-0.014392802491784096","0.0077355997636914253","0.010461430065333843","-0.0079089095816016197","0.0020622825250029564","-0.041936200112104416","-0.044677924364805222","0.047330934554338455","-0.026108806952834129","-0.027621025219559669","0.0089288912713527679","-0.0065221991389989853","0.01732107438147068","-0.014468864537775517","0.024791350588202477","-0.020587733015418053","0.010181466117501259","0.036107007414102554","-0.032575067132711411","-0.026263736188411713","0.019539019092917442","-0.021295515820384026","0.010360166430473328","0.0016431875992566347","0.06313817948102951","0.042572718113660812","0.03725554421544075","-0.028425950556993484","-0.0089646400883793831","-0.061609700322151184","-0.0052227862179279327","-0.046197503805160522","-0.0054872077889740467","0.0029128233436495066","0.0020342939533293247","-0.046985208988189697","-0.026900548487901688","0.027349323034286499","-0.023508371785283089","0.0081287696957588196","0.027452105656266212","0.02855827659368515","-0.013083036988973618","-0.0035784775391221046","-0.018154701218008995","0.0083623556420207024","-0.0092102736234664917","-0.0089603736996650696","-0.032652441412210464","0.023708861321210861","-0.025407390668988228","-0.03506232425570488","-0.04786122590303421","-0.014871174469590187","0.012019175104796886","0.010737509466707706","-0.046481531113386154","-0.0056934473104774952","0.044521350413560867","-0.011273238807916641","0.046886146068572998","0.022450640797615051","-0.033565357327461243","-0.011120734736323357","0.0014232759131118655","-0.058901343494653702","0.020882824435830116","-0.010866828262805939","0.0090104863047599792","-0.00057380337966606021","-0.014375720173120499","-0.053915120661258698","-0.0061579332686960697","0.019850153475999832","-0.033566128462553024","-0.013014300726354122","-0.052159529179334641","-0.021410537883639336","-0.0085521265864372253","-0.049211077392101288","0.067557960748672485","0.035185251384973526","-0.022767061367630959","-0.043442249298095703","-0.0052431798540055752","0.015893742442131042","0.045664872974157333","-0.031942319124937057","-0.00074889359530061483","0.046309478580951691","0.00091387249995023012","0.063510186970233917","-0.0079166032373905182","-0.0045268642716109753","-0.015213570557534695","0.021366933360695839","-0.0077703846618533134","-0.064481168985366821","-0.012182059697806835","0.063210204243659973","0.084716908633708954","-0.0050023403018712997","0.038193397223949432","-0.015867570415139198","0.01632281020283699","-0.0023937516380101442","-0.04451240599155426","0.033330444246530533","0.022885987535119057","-0.032544106245040894","0.03949272632598877","0.024744128808379173","-0.01038001012057066","0.05127725750207901","-0.007178653497248888","-0.010036447085440159","-0.070052273571491241","0.031381193548440933","0.014356805011630058","0.0029588059987872839","-0.0014321212656795979","0.024616777896881104","0.030502144247293472","0.03151397779583931","-0.054944872856140137","0.030372882261872292","-0.0035075908526778221","0.016011824831366539","-0.018013752996921539","0.014645944349467754","0.033703472465276718","0.020615382120013237","0.027796020731329918","-0.031960692256689072","0.042153723537921906","-0.030343839898705482","-0.02333701029419899","0.0036092991940677166","-0.022617140784859657","-0.044740431010723114","0.0068169734440743923","0.084661900997161865","-0.0082268845289945602","0.040676828473806381","0.019026700407266617","-0.027249863371253014","-0.029363946989178658","0.015378783456981182","-0.0024228759575635195","-0.022562388330698013","-0.04174315556883812","0.024250801652669907","-0.0094145471230149269","-0.05077781155705452","0.039274528622627258","-0.024050261825323105","0.042341619729995728","-0.026512054726481438","0.0081801777705550194","-0.0082026226446032524","-0.020809710025787354","-0.026034515351057053","0.012876772321760654","-0.011858414858579636","0.041344195604324341","-0.024697611108422279","0.015826383605599403","0.029146991670131683","0.00238022580742836","0.023530831560492516","0.0072940695099532604","0.027438625693321228","0.028963340446352959","0.024631103500723839","0.016460182145237923","-0.065476454794406891","0.042786069214344025","0.0271168053150177","-0.05729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4、如果有使用本地图片的需求，可以提供请求中的：ImageUrl 为 Content，本地图片的处理可以参考：阿里云人脸识别NodeJS调用示例参考 本地图片处理方法。