使用java调用百度AI实现人脸识别Demo
第一步
找到百度AI，注册你的百度账号
登录成功后会进入以下个页面，点击创建应用：
进入到这个页面：
创建成功之后，记住以下三个内容：
现在进行代码的编写：
在进行代码的编写的时候，一定要去看看人脸识别的官方文档说明：里面有着参数的说明，以及例子，我就是完全照搬文档的中例子进行编写完成的。
需要的工具类，都是从官方渠道下载的
FileUtil,Base64Util,HttpUtil,GsonUtils请从下载：
* https://ai.baidu.com/file/658A35ABAB2D404FBF903F64D47C1F72
* https://ai.baidu.com/file/C8D81F3301E24D2892968F09AE1AD6E2
* https://ai.baidu.com/file/544D677F5D4E4F17B4122FBD60DB82B3
* https://ai.baidu.com/file/470B3ACCA3FE43788B5A963BF0B625F3
不想进行下载的请粘贴下面的代码：
FileUtil
package com.zs.test0918;
import java.io.*;
/**
* 文件读取工具类
*/
public class FileUtil {
/**
* 读取文件内容，作为字符串返回
*/
public static String readFileAsString(String filePath) throws IOException {
File file = new File(filePath);
if (!file.exists()) {
throw new FileNotFoundException(filePath);
}
if (file.length() > 1024 * 1024 * 1024) {
throw new IOException("File is too large");
}
StringBuilder sb = new StringBuilder((int) (file.length()));
// 创建字节输入流
FileInputStream fis = new FileInputStream(filePath);
// 创建一个长度为10240的Buffer
byte[] bbuf = new byte[10240];
// 用于保存实际读取的字节数
int hasRead = 0;
while ( (hasRead = fis.read(bbuf)) > 0 ) {
sb.append(new String(bbuf, 0, hasRead));
}
fis.close();
return sb.toString();
}
/**
* 根据文件路径读取byte[] 数组
*/
public static byte[] readFileByBytes(String filePath) throws IOException {
File file = new File(filePath);
if (!file.exists()) {
throw new FileNotFoundException(filePath);
} else {
ByteArrayOutputStream bos = new ByteArrayOutputStream((int) file.length());
BufferedInputStream in = null;
try {
in = new BufferedInputStream(new FileInputStream(file));
short bufSize = 1024;
byte[] buffer = new byte[bufSize];
int len1;
while (-1 != (len1 = in.read(buffer, 0, bufSize))) {
bos.write(buffer, 0, len1);
}
byte[] var7 = bos.toByteArray();
return var7;
} finally {
try {
if (in != null) {
in.close();
}
} catch (IOException var14) {
var14.printStackTrace();
}
bos.close();
}
}
}
}
Base64Util
package com.zs.test0918;
/**
* Base64 工具类
*/
public class Base64Util {
private static final char last2byte = (char) Integer.parseInt("00000011", 2);
private static final char last4byte = (char) Integer.parseInt("00001111", 2);
private static final char last6byte = (char) Integer.parseInt("00111111", 2);
private static final char lead6byte = (char) Integer.parseInt("11111100", 2);
private static final char lead4byte = (char) Integer.parseInt("11110000", 2);
private static final char lead2byte = (char) Integer.parseInt("11000000", 2);
private static final char[] encodeTable = new char[]{'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', '+', '/'};
public Base64Util() {
}
public static String encode(byte[] from) {
StringBuilder to = new StringBuilder((int) ((double) from.length * 1.34D) + 3);
int num = 0;
char currentByte = 0;
int i;
for (i = 0; i < from.length; ++i) {
for (num %= 8; num < 8; num += 6) {
switch (num) {
case 0:
currentByte = (char) (from[i] & lead6byte);
currentByte = (char) (currentByte >>> 2);
case 1:
case 3:
case 5:
default:
break;
case 2:
currentByte = (char) (from[i] & last6byte);
break;
case 4:
currentByte = (char) (from[i] & last4byte);
currentByte = (char) (currentByte << 2);
if (i + 1 < from.length) {
currentByte = (char) (currentByte | (from[i + 1] & lead2byte) >>> 6);
}
break;
case 6:
currentByte = (char) (from[i] & last2byte);
currentByte = (char) (currentByte << 4);
if (i + 1 < from.length) {
currentByte = (char) (currentByte | (from[i + 1] & lead4byte) >>> 4);
}
}
to.append(encodeTable[currentByte]);
}
}
if (to.length() % 4 != 0) {
for (i = 4 - to.length() % 4; i > 0; --i) {
to.append("=");
}
}
return to.toString();
}
}
HttpUtil
package com.zs.test0918;
import java.io.BufferedReader;
import java.io.DataOutputStream;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.List;
import java.util.Map;
/**
* http 工具类
*/
public class HttpUtil {
public static String post(String requestUrl, String accessToken, String params)
throws Exception {
String contentType = "application/x-www-form-urlencoded";
return HttpUtil.post(requestUrl, accessToken, contentType, params);
}
public static String post(String requestUrl, String accessToken, String contentType, String params)
throws Exception {
String encoding = "UTF-8";
if (requestUrl.contains("nlp")) {
encoding = "GBK";
}
return HttpUtil.post(requestUrl, accessToken, contentType, params, encoding);
}
public static String post(String requestUrl, String accessToken, String contentType, String params, String encoding)
throws Exception {
String url = requestUrl + "?access_token=" + accessToken;
return HttpUtil.postGeneralUrl(url, contentType, params, encoding);
}
public static String postGeneralUrl(String generalUrl, String contentType, String params, String encoding)
throws Exception {
URL url = new URL(generalUrl);
// 打开和URL之间的连接
HttpURLConnection connection = (HttpURLConnection) url.openConnection();
connection.setRequestMethod("POST");
// 设置通用的请求属性
connection.setRequestProperty("Content-Type", contentType);
connection.setRequestProperty("Connection", "Keep-Alive");
connection.setUseCaches(false);
connection.setDoOutput(true);
connection.setDoInput(true);
// 得到请求的输出流对象
DataOutputStream out = new DataOutputStream(connection.getOutputStream());
out.write(params.getBytes(encoding));
out.flush();
out.close();
// 建立实际的连接
connection.connect();
// 获取所有响应头字段
Map> headers = connection.getHeaderFields();
// 遍历所有的响应头字段
for (String key : headers.keySet()) {
System.err.println(key + "--->" + headers.get(key));
}
// 定义 BufferedReader输入流来读取URL的响应
BufferedReader in = null;
in = new BufferedReader(
new InputStreamReader(connection.getInputStream(), encoding));
String result = "";
String getLine;
while ((getLine = in.readLine()) != null) {
result += getLine;
}
in.close();
System.err.println("result:" + result);
return result;
}
}
GsonUtils
/*
* Copyright (C) 2017 Baidu, Inc. All Rights Reserved.
*/
package com.zs.test0918;
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 fromJson(String json, Class classOfT) throws JsonParseException {
return gson.fromJson(json, classOfT);
}
public static T fromJson(String json, Type typeOfT) throws JsonParseException {
return (T) gson.fromJson(json, typeOfT);
}
}
这些工具包搞完之后，要去获得token值
在进行获取token的时候，为了方便起见我定义一个类用来记录token值以及所用的ak，sk等等会用到的一些值，大家最好也像我一样，因为token值30天会刷新一次。
需要用到你之前在百度AI中创建应用中的那些值：
package com.zs.test0918;
/**
* @author zs
* @date 2019/9/18 15:23
*/
public class APIContants {
public static final String APPID = "创建的应用中的APPID";
//百度人脸识别应用apikey
public static final String API_KEY = "创建应用中的API_KEY ";
//百度人脸识别应用sercetkey
public static final String SERCET_KEY = "创建应用中的SERCET_KEY ";
//百度人脸识别token 有效期一个月
public static final String TOKEN = "这个值在你进行获取token之后在进行填写";
}
获取token值
package com.zs.test0918;
import org.json.JSONObject;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.List;
import java.util.Map;
/**
* @author zs
* @date 2019/9/18 15:24
*/
/**
* 获取token类
*/
public class AuthService {
/**
* 获取权限token
* @return 返回示例：
* {
* "access_token": "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567",
* "expires_in": 2592000
* }
*/
public static String getAuth() {
// 官网获取的 API Key 更新为你注册的
String clientId = "创建应用中的API_KEY ";
// 官网获取的 Secret Key 更新为你注册的
String clientSecret = "创建应用中的SERCET_KEY ";
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 static 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> 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;
}
public static void main(String[] args) {
AuthService.getAuth(APIContants.API_KEY,APIContants.SERCET_KEY);
}
}
成功之后会返回一个这样的字符串：
你要找到上面字符串中加黑的后面的长串字符，这个就是你获取的token值
把获取的token值填入之前的类中之后，就可以进行人脸检测代码的书写了：
package com.zs.test0918;
import java.io.IOException;
import java.net.URLEncoder;
import java.util.*;
/**
* @author zs
* @date 2019/9/18 15:47
*/
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() throws IOException {
// 请求url
String url = "https://aip.baidubce.com/rest/2.0/face/v3/detect";
String Filepath = "检测图片的路径";
String image = Base64Util.encode(FileUtil.readFileByBytes(Filepath));
try {
Map map = new HashMap<>();
map.put("image", image);
map.put("face_field", "faceshape,facetype,age,beauty");
map.put("image_type", "BASE64");
String param = GsonUtils.toJson(map);
// 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 = APIContants.TOKEN;
String result = HttpUtil.post(url, accessToken, "application/json", param);
System.out.println(result);
return result;
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
public static void main(String[] args) throws IOException {
FaceDetect.detect();
}
}
返回值：
{
"error_code": 0,
"error_msg": "SUCCESS",
"log_id": 304569289014746281,
"timestamp": 1568901474,
"cached": 0,
"result": {
"face_num": 1,
"face_list": [{
"face_token": "5919764fa2e9cf718c2beb3b0c164652",
"location": {
"left": 672.32,
"top": 519.84,
"width": 624,
"height": 706,
"rotation": 16
},
"face_probability": 1,
"angle": {
"yaw": 1.94,
"pitch": 9.01,
"roll": 13.85
},
"face_shape": {
"type": "heart",
"probability": 0.38
},
"face_type": {
"type": "human",
"probability": 1
},
"age": 21,
"beauty": 65.1
}]
}
}
里面的会少一个jar包，我使用的是maven文件，大家看看官方文档中有jar包的下载，还用sdk的下载，以及maven的使用，我使用的maven，在其中只需要加入：
com.baidu.aip
java-sdk
4.6.0