基于百度AI开放平台的人脸识别的注册登录(1)
2019-03-20 本文已影响0人
itczt
基于其本人还是一个菜鸟，只能做傻瓜式的阐述。请见谅！
1.打开百度ai开放平台，并注册登陆账号。
http://ai.baidu.com/?track=cp:aipinzhuan|pf:pc|pp:AIpingtai|pu:title|ci:|kw:10005792
百度ai开放平台首页
2.选择产品服务，人脸与人体识别，人脸识别选项。打开后如图所示
人脸识别
3.点击立即使用
3.jpg
4.点击创捷应用
创建应用
这一页大家按自己需求填写即可
5.创建完成后点击管理应用会出现如下图所示
管里应用
这里我们需要的就是AppID、API Key和Secret Key这三项
6.接下来就开始用eclipse来写Java代码了
主要目录
核心代码
LoginServlet.java
package servlet;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.PrintWriter;
import java.io.Reader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLEncoder;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import javax.servlet.ServletException;
import javax.servlet.annotation.WebServlet;
import javax.servlet.http.HttpServlet;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import org.json.JSONObject;
import util.AipFaceHelper;
import util.StringUtil;
/**
* Servlet implementation class LoginServlet
*/
@WebServlet("/LoginServlet")
public class LoginServlet extends HttpServlet {
protected void doGet(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
request.setCharacterEncoding("UTF-8"); // 设置防止提交的中文数据乱码
response.setContentType("text/html;charset=UTF-8"); // 设置响应的信息不乱码
PrintWriter out = response.getWriter();// 获取一个能够向客户端显示信息的对象
// 传入可选参数调用接口
HashMap<String, String> options = new HashMap<String, String>();
options.put("quality_control", "LOW");// 图片质量控制
options.put("liveness_control", "LOW");// 活体检测控制
options.put("user_id", "no1");
options.put("max_user_num", "1"); // 查找后返回的用户数量。返回相似度最高的几个用户
String image = request.getParameter("base");
image = StringUtil.base64SubString(image);
String imageType = "BASE64";
String groupIdList = "test01"; // 从指定的group中进行查找 用逗号分隔，上限20个
// 人脸搜索
JSONObject res = AipFaceHelper.getInstance().search(image, imageType, groupIdList, options);
System.out.println(res.toString(2));
out.print(res.toString(2));
}
protected void doPost(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
// TODO Auto-generated method stub
doGet(request, response);
}
}
RegServlet.java
package servlet;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.PrintWriter;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import javax.servlet.ServletException;
import javax.servlet.annotation.WebServlet;
import javax.servlet.http.HttpServlet;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import org.json.JSONObject;
import util.AipFaceHelper;
import util.StringUtil;
/**
* Servlet implementation class RegServlet
*/
@WebServlet("/RegServlet")
public class RegServlet extends HttpServlet {
protected void doGet(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
request.setCharacterEncoding("UTF-8"); // 设置防止提交的中文数据乱码
response.setContentType("text/html;charset=UTF-8"); // 设置响应的信息不乱码
PrintWriter out = response.getWriter();// 获取一个能够向客户端显示信息的对象
HashMap<String, String> options = new HashMap<String, String>();
options.put("user_info", "user's info");// 用户资料，长度限制256B
options.put("quality_control", "LOW");// 图片质量控制
options.put("liveness_control", "LOW");// 活体检测控制
// 取决于image_type参数，传入BASE64字符串或URL字符串或FACE_TOKEN字符串
String image = request.getParameter("base");
image = StringUtil.base64SubString(image);
String imageType = "BASE64";
String groupId = "test01";
String userId = "no1";
// 人脸注册
JSONObject res = AipFaceHelper.getInstance().addUser(image, imageType, groupId, userId, options);
System.out.println(res.toString(2));
out.print(res.toString(2));
}
protected void doPost(HttpServletRequest request, HttpServletResponse response)
throws ServletException, IOException {
// TODO Auto-generated method stub
doGet(request, response);
}
}
AipFaceHelper.java
package util;
import com.baidu.aip.face.AipFace;
public class AipFaceHelper {
// 设置APPID/AK/SK
private static final String APP_ID = "15769139";
private static final String API_KEY = "3wmj05WUe5HyVK1amYpN8Ym6";
private static final String SECRET_KEY = "mMlsBOSugeaBZrMn14q5g44M5eBRsHmV";
private static AipFace client = null;
private AipFaceHelper() {
}
public static AipFace getInstance() {
if (client == null) {
client = new AipFace(APP_ID, API_KEY, SECRET_KEY);
//设置网络连接参数
client.setConnectionTimeoutInMillis(2000);
client.setSocketTimeoutInMillis(60000);
}
return client;
}
}
StringUtil.java
package util;
public class StringUtil {
public static String base64SubString(String base) {
return base.substring(22);
}
}
welcome.jsp
<%@ page language="java" contentType="text/html; charset=UTF-8"
pageEncoding="UTF-8"%>
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Insert title here</title>
</head>
<body>
恭喜您，使用人脸识别登陆系统成功
</body>
</html>
index.jsp
<%@ page language="java" contentType="text/html; charset=UTF-8"
pageEncoding="UTF-8"%>
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>人脸识别 • 在线版</title>
<link href="css/bootstrap.css" rel="stylesheet">
<link href="css/bface.css" rel="stylesheet">
</head>
<body>
<!--整体内容区域-->
<div class="container container-main">
<!--人脸识别模态框-->
<div class="modal fade" id="myModal" aria-hidden="true"
data-backdrop="static" tabindex="-1" role="dialog"
aria-labelledby="myModalLabel">
<div class="modal-dialog" role="document">
<div class="modal-content">
<div class="modal-header">
<h4 class="modal-title" id="myModalLabel"
style="display: inline-block">BFace ▪ 人脸识别</h4>
<button type="button" class="close" data-dismiss="modal"
aria-label="Close">
<span aria-hidden="true">×</span>
</button>
</div>
<div class="modal-body">
<div class="modal-body-title">
<!--头部提示文字-->
<p>请将头部放在视频区域内,匹配成功将会自动登入系统</p>
<p>
如果视频内未出现识别框或长时间未响应 <a style="cursor: pointer">请单击此处</a>
</p>
</div>
<!--人脸框-->
<div class="modal-body-viode">
<canvas id="canvas" width="420" height="340"></canvas>
<video id="video" width="420" height="340" preload autoplay loop
muted></video>
</div>
</div>
</div>
</div>
</div>
<!--人脸识别开启模态框按钮-->
<table style="margin: 200px auto;">
<tr>
<td colspan="3"><img alt="" src="images/timg.jpg" /></td>
</tr>
<tr>
<td align="center">
<button class="btn btn-success" data-toggle="modal"
data-target="#myModal" onclick="showLogin()">登陆</button>
</td>
<td align="center">
<button class="btn btn-success" data-toggle="modal"
data-target="#myModal" onclick="showReg()">注册</button>
</td>
</tr>
</table>
</div>
<!--JS导入-->
<script type="text/javascript" src="js/tracking-min.js"></script>
<script type="text/javascript" src="js/face-min.js"></script>
<script type="text/javascript" src="js/jquery-3.2.1.min.js"></script>
<script type="text/javascript" src="js/bootstrap.min.js"></script>
<script type="text/javascript" src="js/bface.js"></script>
<script type="text/javascript">
function showLogin() {
//调用人脸识别方法
login("http://localhost:8080/faceDiscern/LoginServlet");
}
function showReg() {
//调用人脸识别方法
reg("http://localhost:8080/faceDiscern/RegServlet");
}
</script>
</body>
</html>
