一、百度智能云

1、注册登录

百度智能云地址
在该网站完成注册登录

2、创建应用

在这里插入图片描述

3、完成认证领取免费测试资源

二、springboot集成

1、pom

<!--百度AI-->
        <dependency>
            <groupId>com.baidu.aip</groupId>
            <artifactId>java-sdk</artifactId>
            <version>4.8.0</version>
        </dependency>
        <dependency>
            <groupId>com.squareup.okhttp3</groupId>
            <artifactId>okhttp</artifactId>
            <version>5.0.0-alpha.10</version>
        </dependency>
        <dependency>
            <groupId>com.google.code.gson</groupId>
            <artifactId>gson</artifactId>
            <version>2.10.1</version>
        </dependency>

2、配置application.yml

在这里插入图片描述

baidu:
  ai:
    appId: 百度平台中创建的应用的AppID
    apiKey: 百度平台中创建的应用的API Key
    secretKey: 百度平台中创建的应用的Secret key
    imageType: BASE64

3、官方文档

参考官方网站说明文档

三、逻辑分析

当用户首次提交自己的人脸模型时逻辑如下：
在这里插入图片描述
当用户非首次提交人脸（考勤打卡提交人脸）

四、代码

1、图片上传

    @ApiOperation("上传图片")
    @PostMapping("/upload")
    public void upload(@RequestParam("file") MultipartFile fileUpload){
    }

2、格式转换

/*** MultipartFile转成InputStream 将图片转换成Base64编码 */
    public static String imgToBase64(MultipartFile uploadFiles) {
        InputStream in;
        byte[] data = null;
        //读取图片字节数组
        try {
            byte[] byteArr = uploadFiles.getBytes();
            in = new ByteArrayInputStream(byteArr);
            data = new byte[in.available()];
            in.read(data);
            in.close();
        } catch (IOException e) {
            e.printStackTrace();
        } catch (Exception e1) {
            e1.getMessage();
            e1.printStackTrace();
        }

        return new String(Objects.requireNonNull(Base64.encodeBase64(data)));
    }

3、百度Token获取

package com.buba.wechatsk.face;

import org.json.JSONObject;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import org.springframework.stereotype.Service;

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.List;
import java.util.Map;

/**
 * 获取token类
 */
 @Service
public class AuthService {

    @Value("${baidu.ai.apiKey}")
    private final String apiKey;
    @Value("${baidu.ai.secretKey}")
    private final String secretKey;

    /**
     * 获取权限token
     * @return 返回示例：
     * {
     * "access_token": "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567",
     * "expires_in": 2592000
     * }
     */
    public String getAuth() {
        // 官网获取的 API Key 更新为你注册的
        String clientId = apiKey;
        // 官网获取的 Secret Key 更新为你注册的
        String clientSecret = secretKey;
        return getAuth(clientId, clientSecret);
    }

    /**
     * 获取API访问token
     * 该token有一定的有效期，需要自行管理，当失效时需重新获取.
     * @param ak - 百度云官网获取的 API Key
     * @param sk - 百度云官网获取的 Securet Key
     * @return assess_token 示例：
     * "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567"
     */
    public String getAuth(String ak, String sk) {
        // 获取token地址
        String authHost = "https://aip.baidubce.com/oauth/2.0/token?";
        String getAccessTokenUrl = authHost
                // 1. grant_type为固定参数
                + "grant_type=client_credentials"
                // 2. 官网获取的 API Key
                + "&client_id=" + ak
                // 3. 官网获取的 Secret Key
                + "&client_secret=" + sk;
        try {
            URL realUrl = new URL(getAccessTokenUrl);
            // 打开和URL之间的连接
            HttpURLConnection connection = (HttpURLConnection) realUrl.openConnection();
            connection.setRequestMethod("GET");
            connection.connect();
            // 获取所有响应头字段
            Map<String, List<String>> map = connection.getHeaderFields();
            // 遍历所有的响应头字段
            for (String key : map.keySet()) {
                System.err.println(key + "--->" + map.get(key));
            }
            // 定义 BufferedReader输入流来读取URL的响应
            BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()));
            String result = "";
            String line;
            while ((line = in.readLine()) != null) {
                result += line;
            }
            /**
             * 返回结果示例
             */
            System.err.println("result:" + result);
            JSONObject jsonObject = new JSONObject(result);
            String access_token = jsonObject.getString("access_token");
            return access_token;
        } catch (Exception e) {
            System.err.printf("获取token失败！");
            e.printStackTrace(System.err);
        }
        return null;
    }

}

4、工具类

/*
 * Copyright (C) 2017 Baidu, Inc. All Rights Reserved.
 */
package com.buba.wechatsk.face;
import com.google.gson.Gson;
import com.google.gson.GsonBuilder;
import com.google.gson.JsonParseException;

import java.lang.reflect.Type;

/**
 * Json工具类.
 */
public class GsonUtils {
    private static Gson gson = new GsonBuilder().create();

    public static String toJson(Object value) {
        return gson.toJson(value);
    }

    public static <T> T fromJson(String json, Class<T> classOfT) throws JsonParseException {
        return gson.fromJson(json, classOfT);
    }

    public static <T> T fromJson(String json, Type typeOfT) throws JsonParseException {
        return (T) gson.fromJson(json, typeOfT);
    }
}

5、实体类

@Data
public class FaceEntity {
    private String image;
    private String image_type;
    private String face_type;
    private String quality_control;
    private String liveness_control;
}

@Data
public class FaceResultEntity {
   private String error_code;
   private String error_msg;
   private String log_id;
   private Integer timestamp;
   private Integer cached;
   private Map<Object,Object> result;
}

6、AI人脸验证

7、AI人脸比对

package com.buba.wechatsk.face;

import okhttp3.*;
import java.util.ArrayList;
import java.util.List;

/**
 * @author qlx
 */
@Component
public class MyFaceAi {

    final OkHttpClient HTTP_CLIENT = new OkHttpClient().newBuilder().build();
    /**
     * 人脸对比
     */
    public boolean compare(String s1,String s2) throws Exception{
        FaceEntity face1 = new FaceEntity();
        face1.setImage(s1);
        face1.setImage_type("BASE64");
        face1.setFace_type("LIVE");
        face1.setQuality_control("LOW");
        face1.setLiveness_control("LOW");
        FaceEntity face2 = new FaceEntity();
        face2.setImage(s2);
        face2.setImage_type("BASE64");
        face2.setFace_type("LIVE");
        face2.setQuality_control("LOW");
        face2.setLiveness_control("LOW");

        List list = new ArrayList();
        list.add(face1);
        list.add(face2);

        String param = GsonUtils.toJson(list);

        AuthService authService = new AuthService();
        String token = authService.getAuth();
        MediaType mediaType = MediaType.parse("application/json");
        RequestBody body = RequestBody.create(mediaType, param);
        Request request = new Request.Builder()
                .url("https://aip.baidubce.com/rest/2.0/face/v3/match?access_token="+token)
                .method("POST", body)
                .addHeader("Content-Type", "application/json")
                .build();
        Response response = HTTP_CLIENT.newCall(request).execute();
        String res = response.body().string();
        System.out.println(res);
        FaceResultEntity rr = GsonUtils.fromJson(res,FaceResultEntity.class);
        Double score = (Double) rr.getResult().get("score");
        return score>80?true:false;
    }
}

8、controller接口

    @Autowired
    private JwtUtil jwtUtil;
    @Autowired
    private MyFaceAi myFaceAi;
    @Autowired
    private FaceServicefaceService;    /**
     * 上传
     *
     * @param fileUpload 图片资源
     * @return 图映射的虚拟访问路径
     */
    @ApiOperation("上传人脸比对已存在的人脸")
    @PostMapping("/upload")
    public Result upload(@RequestHeader String token,@RequestParam("file") MultipartFile fileUpload) throws Exception{
//        1、转base64
        String currentFace = FileUtil.imgToBase64(fileUpload);
//        2、通过token获取当前用户id
        int uid = jwtUtil.getUserId(token);
//        3、通过uid查询数据库中已经存在的该用户注册的人脸base64
        String oldFace = faceService.selectFaceByUid(uid);
//        4、比对
        boolean b = myFaceAi.compare(currentFace,oldFace);
        return Result.ok(b+"");
    }