1、成为开发者
百度ai官网地址：http://ai.baidu.com/
STEP1：点击百度AI开放平台导航右侧的控制台，点击需要使用的AI服务项，使用百度账号登录。如还未持有百度账户，可以点击此处注册百度账户。
STEP2：首次使用，登录后将会进入开发者认证页面，请填写相关信息完成开发者认证。注：(如您之前已经是百度云用户或百度开发者中心用户，此步可略过。)
STEP3：进入具体AI服务项的控制面板（如文字识别、人脸识别），进行相关业务操作。
2. 创建应用
创建好账号后，在正式调用AI能力之前，需要您创建一下应用，这个是调用服务的基础能力单元，不可或缺哦。在百度云控制台，已默认为您免费开通百度语音、文字识别、人脸识别、自然语言处理、图像审核、知识图谱服务六项服务。您可以选择您需要的服务，进入对应服务的控制台中。进入某个服务的控制台后，您将首先见到此服务的控制台概览页（以人脸识别为例），如下图所示，点击创建应用：
点击上图中的「创建应用」，即可进入应用创建界面，如下图所示：
点击创建就会生成一个应用，包含API Key和SecretKey，这两个字段是获取accessToken的依据，是调用api接口的必备字段：
3、获取签名
获取accessToken：通过调用接口：https://aip.baidubce.com/oauth/2.0/token?
grant_type=client_credentials&
client_id=Va5yQRHlA4Fq4eR3LT0vuXV4&
client_secret= 0rDSjzQ20XUj5itV7WRtznPQSzr5pVw2&获取；
4、进行开发
首先需要下载开发必须用到的jar文件，引入项目：
然后编写调用接口的编码，其中用到的文件操作，base64编码处理以及http请求相关的util文件，百度都已经封装好，可以直接使用：
package com.hengyunsoft.face.aip; import java.net.URLEncoder; import com.baidu.aip.util.Base64Util; import com.hengyunsoft.face.util.AuthService; import com.hengyunsoft.face.util.FileUtil; import com.hengyunsoft.face.util.HttpUtil; /** * 人脸探测 */ public class FaceDetect { /** * 重要提示代码中所需工具类 * FileUtil,Base64Util,HttpUtil,GsonUtils请从 * https://ai.baidu.com/file/658A35ABAB2D404FBF903F64D47C1F72 * https://ai.baidu.com/file/C8D81F3301E24D2892968F09AE1AD6E2 * https://ai.baidu.com/file/544D677F5D4E4F17B4122FBD60DB82B3 * https://ai.baidu.com/file/470B3ACCA3FE43788B5A963BF0B625F3 * 下载 */ public static String detect(String filePath) { // 请求url String url = "https://aip.baidubce.com/rest/2.0/face/v1/detect"; try { // 本地文件路径 byte[] imgData = FileUtil.readFileByBytes(filePath); String imgStr = Base64Util.encode(imgData); String imgParam = URLEncoder.encode(imgStr, "UTF-8"); String param = "max_face_num=" + 5 + "&face_fields=" + "age,beauty,expression,faceshape,gender,glasses,landmark,race,qualities" + "&image=" + imgParam; // 注意这里仅为了简化编码每一次请求都去获取access_token，线上环境access_token有过期时间， 客户端可自行缓存，过期后重新获取。 String accessToken = AuthService.getAuth(); String result = HttpUtil.post(url, accessToken, param); System.out.println(result); return result; } catch (Exception e) { e.printStackTrace(); } return null; } }
调用测试接口，查看输出结果，测试一张图片中的人脸检测个数：
public static void main(String[] args) { //testDetect1(); //测试人脸检测 String path = System.getProperty("user.dir")+"\image\person3.jpg"; FaceDetect.detect(path); }
原图：
检测结果：
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关于人脸识别的一些接口：注册，更新，删除，检测，识别，验证等：
package com.hengyunsoft.face.aip; import java.util.HashMap; import org.json.JSONObject; import com.baidu.aip.face.AipFace; public class FaceManage { /** * 注册用户信息 * @param client * @param imagePath */ public static void addUser(AipFace client,String imagePath) { // 传入可选参数调用接口 HashMap<String, String> options = new HashMap<String, String>(); options.put("action_type", "replace"); String uid = "user1"; String userInfo = "user's info"; String groupId = "group1,group2"; JSONObject res = client.addUser(uid, userInfo, groupId, imagePath, options); System.out.println(res.toString(2)); // 参数为本地图片二进制数组 // byte[] file = readImageFile(image); //res = client.addUser(file, uid, userInfo, groupId, options); //System.out.println(res.toString(2)); } /** * 更新用户信息，包括图片 * @param client * @param imagePath */ public static void updateUser(AipFace client,String imagePath) { // 传入可选参数调用接口 HashMap<String, String> options = new HashMap<String, String>(); options.put("action_type", "replace"); String uid = "user1"; String userInfo = "user's info"; String groupId = "group1"; JSONObject res = client.updateUser(uid, userInfo, groupId, imagePath, options); System.out.println(res.toString(2)); // 参数为本地图片二进制数组 // byte[] file = readImageFile(image); // res = client.updateUser(file, uid, userInfo, groupId, options); // System.out.println(res.toString(2)); } /** * 删除用户信息 * @param client */ public static void deleteUser(AipFace client) { // 传入可选参数调用接口 HashMap<String, String> options = new HashMap<String, String>(); options.put("group_id", "group1"); String uid = "user1"; // 人脸删除 JSONObject res = client.deleteUser(uid, options); System.out.println(res.toString(2)); } /** * 根据用户id和group信息获取用户详情 * @param client */ public static void getUserById(AipFace client) { // 传入可选参数调用接口 HashMap<String, String> options = new HashMap<String, String>(); options.put("group_id", "group1"); String uid = "user1"; // 用户信息查询 JSONObject res = client.getUser(uid, options); System.out.println(res.toString(2)); } /** * 用户组查询 * @param client */ public static void getGroupList(AipFace client) { // 传入可选参数调用接口 HashMap<String, String> options = new HashMap<String, String>(); options.put("start", "0"); options.put("end", "50"); // 组列表查询 JSONObject res = client.getGroupList(options); System.out.println(res.toString(2)); } /** * 用户组内用户列表查询 * @param client */ public static void getGroupUsers(AipFace client) { // 传入可选参数调用接口 HashMap<String, String> options = new HashMap<String, String>(); options.put("start", "0"); options.put("end", "50"); String groupId = "group1"; // 组内用户列表查询 JSONObject res = client.getGroupUsers(groupId, options); System.out.println(res.toString(2)); } /** * 人脸验证，用于登录，签到等 * @param client */ public static void verifyUser(AipFace client,String imagePath) { // 传入可选参数调用接口 HashMap<String, String> options = new HashMap<String, String>(); options.put("top_num", "1"); options.put("ext_fields", "faceliveness"); String uid = "user1"; String groupId = "group1,group2"; JSONObject res = client.verifyUser(uid, groupId, imagePath, options); System.out.println(res.toString(2)); // // 参数为本地图片二进制数组 // byte[] file = readImageFile(image); // res = client.verifyUser(file, uid, groupId, options); // System.out.println(res.toString(2)); } /** * 人脸识别，用于闸机，签到 * @param client */ public static void identifyUser(AipFace client,String imagePath) { // 传入可选参数调用接口 HashMap<String, String> options = new HashMap<String, String>(); options.put("ext_fields", "faceliveness"); options.put("user_top_num", "3"); String groupId = "group1,group2"; JSONObject res = client.identifyUser(groupId, imagePath, options); System.out.println(res.toString(2)); // // 参数为本地图片二进制数组 // byte[] file = readImageFile(image); // res = client.identifyUser(file, groupId, options); // System.out.println(res.toString(2)); } }
测试代码：
package com.hengyunsoft.face.main; import java.util.HashMap; import org.json.JSONObject; import com.baidu.aip.face.AipFace; import com.hengyunsoft.face.aip.FaceDetect; import com.hengyunsoft.face.aip.FaceManage; public class TestFace { //设置APPID/AK/SK public static final String APP_ID = "10580034"; public static final String API_KEY = "你的api key"; public static final String SECRET_KEY = "你的secret key"; private static String basePath = System.getProperty("user.dir")+"\image\"; public static void main(String[] args) { AipFace client = new AipFace(APP_ID, API_KEY, SECRET_KEY); String path = System.getProperty("user.dir")+"\image\person3.jpg"; String image = basePath; //测试人脸检测 //FaceDetect.detect(path); //测试添加 // 参数为本地图片路径 // image = basePath + "liushishi.jpg"; // FaceManage.addUser(client,image); //测试更新 // 参数为本地图片路径 // image = basePath + "zhoubichang.jpg"; // FaceManage.updateUser(client,image); //测试删除 // FaceManage.deleteUser(client); // //用户查询，根据id查询 // FaceManage.getUserById(client); // // //用户组列表查询 // FaceManage.getGroupList(client); // //用户组内用户列表查询 // FaceManage.getGroupUsers(client); //测试人脸验证 image = basePath + "liushishi.jpg"; FaceManage.verifyUser(client, image); // //测试人脸识别 // image = basePath + "liushishi.jpg"; // FaceManage.identifyUser(client, image); } private static void testDetect1() { // 初始化一个AipFace AipFace client = new AipFace(APP_ID, API_KEY, SECRET_KEY); // 可选：设置网络连接参数 client.setConnectionTimeoutInMillis(2000); client.setSocketTimeoutInMillis(60000); // 可选：设置代理服务器地址, http和socket二选一，或者均不设置 //client.setHttpProxy("proxy_host", proxy_port); // 设置http代理 //client.setSocketProxy("proxy_host", proxy_port); // 设置socket代理 // 调用接口 String path = System.getProperty("user.dir")+"\image\test.png"; JSONObject res = client.detect(path, new HashMap<String, String>()); System.out.println(res.toString(2)); } }