调用腾讯优图开放平台进行人脸识别:Java调用API实现

栏目: Java · 发布时间: 6年前

内容简介:调用腾讯优图开放平台进行人脸识别:Java调用API实现
调用腾讯优图开放平台进行人脸识别:Java调用API实现
调用腾讯优图开放平台进行人脸识别:Java调用API实现

第一步:鉴权服务技术方案

Java代码实现如下

import java.util.Date;  
  
import com.baidu.aip.util.Base64Util;  
/** 
 * 获取Authorization 
 * @author 小帅丶 
 * @类名称  Sign 
 * @remark  
 * @date  2017-8-18 
 */  
public class Sign {  
    /** 
     * Authorization方法 
     * @param userQQ 开发者创建应用时的QQ号 
     * @param AppID 开发者创建应用后的AppID 
     * @param SecretID 开发者创建应用后的SecretID 
     * @param SecretKey 开发者创建应用后的SecretKey 
     * @return sign 
     * @throws Exception 
     */  
    public static String getSign(String userQQ,String AppID,String SecretID,String SecretKey) throws Exception{  
        long tnowTimes = new Date().getTime()/1000;  
        long enowTimes = tnowTimes+2592000;  
        String rRandomNum = HMACSHA1.genRandomNum(10);  
        String param = "u=" + userQQ + "&a=" + AppID + "&k=" + SecretID + "&e="  
                + enowTimes + "&t=" + tnowTimes + "&r=" + rRandomNum + "&f=";  
        byte [] hmacSign = HMACSHA1.getSignature(param, SecretKey);  
        byte[] all = new byte[hmacSign.length+param.getBytes().length];  
        System.arraycopy(hmacSign, 0, all, 0, hmacSign.length);  
        System.arraycopy(param.getBytes(), 0, all, hmacSign.length, param.getBytes().length);  
        String sign = Base64Util.encode(all);  
        return sign;  
    }  
}

需要的HMACSHA1代码及随机数代码

import java.util.Random;  
      
    import javax.crypto.Mac;  
    import javax.crypto.spec.SecretKeySpec;  
      
    /** 
     * HMACSHA1算法 
     *  
     * @author 小帅丶 
     * @类名称 HMACSHA1 
     * @remark 
     * @date 2017-8-18 
     */  
    public class HMACSHA1 {  
        /** 
         * 算法标识 
         */  
        private static final String HMAC_SHA1 = "HmacSHA1";  
        /** 
         * 加密 
         * @param data 要加密的数据 
         * @param key 密钥  
         * @return 
         * @throws Exception 
         */  
        public static byte[] getSignature(String data, String key) throws Exception {  
            Mac mac = Mac.getInstance(HMAC_SHA1);  
            SecretKeySpec signingKey = new SecretKeySpec(key.getBytes(),  
                    mac.getAlgorithm());  
            mac.init(signingKey);  
            return mac.doFinal(data.getBytes());  
        }  
        /** 
         * 生成随机数字 
         * @param length 
         * @return 
         */  
        public static String genRandomNum(int length){    
            int  maxNum = 62;    
            int i;    
            int count = 0;    
            char[] str = {'0', '1', '2', '3', '4', '5', '6', '7', '8', '9'};        
            StringBuffer pwd = new StringBuffer("");    
            Random r = new Random();    
            while(count < length){    
             i = Math.abs(r.nextInt(maxNum));       
             if (i >= 0 && i < str.length) {    
              pwd.append(str[i]);    
              count ++;    
             }    
            }    
            return pwd.toString();    
          }   
    }

第二步:准备相关代码

保存SIGN 或者每次都生成一个也可以 方便测试就直接每次生成一个了

开始识别图片之前需要 工具 类Base64Util  FileUtil

FileUtil代码

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  代码

/** 
     * 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();  
        }  
    }

创建应用得到的值放在一个常量类里面

调用腾讯优图开放平台进行人脸识别:Java调用API实现
/** 
     * 常量 
     * @author 小帅丶 
     * @类名称  YouTuAppContants 
     * @remark  
     * @date  2017-8-18 
     */  
    public class YouTuAppContants {  
        public static String AppID = "你自己的AppID ";  
        public static String SecretID = "你自己的SecretID";  
        public static String SecretKey = "你自己的SecretKey";  
        public static String userQQ = "你自己的userQQ";  
    }

还需要一个HTTPUTIL工具类 发送请求

import java.io.BufferedReader;  
    import java.io.DataOutputStream;  
    import java.io.IOException;  
    import java.io.InputStreamReader;  
    import java.net.HttpURLConnection;  
    import java.net.URL;  
    import java.security.KeyManagementException;  
    import java.security.NoSuchAlgorithmException;  
    import java.security.cert.CertificateException;  
    import java.security.cert.X509Certificate;  
       
    import javax.net.ssl.HostnameVerifier;  
    import javax.net.ssl.SSLContext;  
    import javax.net.ssl.SSLSession;  
    import javax.net.ssl.TrustManager;  
    import javax.net.ssl.X509TrustManager;  
      
    /** 
     * http 工具类 
     */  
    public class HttpUtilYoutu {  
         private static class TrustAnyTrustManager implements X509TrustManager {  
               
                public void checkClientTrusted(X509Certificate[] chain, String authType)  
                        throws CertificateException {  
                }  
           
                public void checkServerTrusted(X509Certificate[] chain, String authType)  
                        throws CertificateException {  
                }  
           
                public X509Certificate[] getAcceptedIssuers() {  
                    return new X509Certificate[] {};  
                }  
            }  
           
            private static class TrustAnyHostnameVerifier implements HostnameVerifier {  
                public boolean verify(String hostname, SSLSession session) {  
                    return true;  
                }  
            }  
           
            /** 
             * post方式请求服务器(https协议) 
             *  
             * @param url 
             *            请求地址 
             * @param content 
             *            参数 
             * @param charset 
             *            编码 
             * @return 
             * @throws NoSuchAlgorithmException 
             * @throws KeyManagementException 
             * @throws IOException 
             */  
            public static String post(String url, String content,String charset,String sign)  
                    throws NoSuchAlgorithmException, KeyManagementException,  
                    IOException {  
                SSLContext sc = SSLContext.getInstance("SSL");  
                sc.init(null, new TrustManager[] { new TrustAnyTrustManager() },  
                        new java.security.SecureRandom());  
                URL console = new URL(url);  
                Integer length = content.length();  
                HttpURLConnection conn = (HttpURLConnection) console.openConnection();  
                //文档要求填写的Header参数                  
                    conn.setRequestProperty("Host", "api.youtu.qq.com");  
                conn.setRequestProperty("Content-Length",length.toString());  
                conn.setRequestProperty("Content-Type", "text/json");  
                conn.setRequestProperty("Authorization", sign);  
                    //文档要求填写的Header参数  
                   conn.setDoOutput(true);  
                conn.connect();  
                DataOutputStream out = new DataOutputStream(conn.getOutputStream());  
                out.write(content.getBytes(charset));  
                // 刷新、关闭  
                out.flush();  
                out.close();  
                BufferedReader in = null;  
                in = new BufferedReader(  
                        new InputStreamReader(conn.getInputStream(), charset));  
                String result = "";  
                String getLine;  
                while ((getLine = in.readLine()) != null) {  
                    result += getLine;  
                }  
                in.close();  
                System.err.println("result:" + result);  
                return result;  
            }  
      
    }

第三步:测试一下人脸检测接口

请求示例代码:

import com.xiaoshuai.test.Base64Util;  
import com.xiaoshuai.test.FileUtil;  
  
public class DetectFace {  
    //人脸检测接口  
    public static String DETECTFACE_URL="http://api.youtu.qq.com/youtu/api/detectface";  
    public static void main(String[] args) throws Exception {  
        String imagePath = "G:/test2.jpg";  
        System.out.println(getDetectFace(imagePath));  
          
    }  
    /** 
     * 检测图中人脸信息 
     * @param imagePath 图片路径 
     * @return 
     * @throws Exception 
     */  
    public static String getDetectFace(String imagePath) throws Exception{  
        //得到Authorization  
        String sign = Sign.getSign(YouTuAppContants.userQQ,  
                YouTuAppContants.AppID, YouTuAppContants.SecretID,  
                YouTuAppContants.SecretKey);  
        byte[] imgData = FileUtil.readFileByBytes(imagePath);  
        String image =  Base64Util.encode(imgData);;  
        String param = "{\"app_id\":\""+YouTuAppContants.AppID+"\",\"image\":\""+image+"\"}";  
        String result = HttpUtilYoutu.post(DETECTFACE_URL, param, "UTF-8",sign);  
        System.out.println(result);  
        return result;  
    }  
}

看看返回的内容:

{"session_id":"","image_height":280,"image_width":359,"face":[{"face_id":"2188093443753939350","x":128,"y":127,"height":106.0,"width":106.0,"pitch":6,"roll":3,"yaw":-2,"age":23,"gender":94,"glass":true,"expression":34,"beauty":80,"face_shape":{"face_profile":[{"x":139,"y":160},{"x":139,"y":170},{"x":140,"y":180},{"x":143,"y":189},{"x":146,"y":199},{"x":150,"y":208},{"x":156,"y":217},{"x":162,"y":225},{"x":170,"y":232},{"x":179,"y":236},{"x":189,"y":238},{"x":199,"y":235},{"x":207,"y":230},{"x":214,"y":222},{"x":221,"y":214},{"x":225,"y":205},{"x":229,"y":195},{"x":231,"y":185},{"x":232,"y":174},{"x":233,"y":164},{"x":232,"y":155}],"left_eye":[{"x":152,"y":159},{"x":156,"y":161},{"x":161,"y":163},{"x":166,"y":162},{"x":171,"y":160},{"x":167,"y":157},{"x":162,"y":156},{"x":157,"y":157}],"right_eye":[{"x":216,"y":156},{"x":212,"y":159},{"x":208,"y":160},{"x":203,"y":160},{"x":198,"y":158},{"x":202,"y":155},{"x":206,"y":154},{"x":211,"y":154}],"left_eyebrow":[{"x":143,"y":148},{"x":151,"y":148},{"x":159,"y":148},{"x":166,"y":148},{"x":174,"y":147},{"x":167,"y":142},{"x":158,"y":141},{"x":150,"y":142}],"right_eyebrow":[{"x":224,"y":145},{"x":216,"y":145},{"x":208,"y":145},{"x":200,"y":146},{"x":192,"y":146},{"x":199,"y":141},{"x":208,"y":139},{"x":217,"y":139}],"mouth":[{"x":170,"y":209},{"x":175,"y":214},{"x":180,"y":218},{"x":187,"y":219},{"x":194,"y":217},{"x":200,"y":213},{"x":204,"y":207},{"x":199,"y":203},{"x":192,"y":201},{"x":186,"y":203},{"x":180,"y":202},{"x":174,"y":205},{"x":175,"y":210},{"x":181,"y":211},{"x":187,"y":211},{"x":193,"y":210},{"x":198,"y":209},{"x":198,"y":207},{"x":193,"y":208},{"x":187,"y":209},{"x":180,"y":207},{"x":175,"y":207}],"nose":[{"x":184,"y":184},{"x":183,"y":160},{"x":180,"y":166},{"x":177,"y":173},{"x":174,"y":180},{"x":170,"y":188},{"x":178,"y":191},{"x":185,"y":192},{"x":192,"y":190},{"x":199,"y":186},{"x":194,"y":179},{"x":191,"y":172},{"x":187,"y":166}]}}],"errorcode":0,"errormsg":"OK"}

忽略掉检测五官位置的数据:

"face_id": "2188093443753939350",  
    "x": 128,  
    "y": 127,  
    "height": 106,  
    "width": 106,  
    "pitch": 6,  
    "roll": 3,  
    "yaw": -2,  
    "age": 23,//年龄 [0~100]  
    "gender": 94,//性别 [0/(female)~100(male)]  
    "glass": true,//是否有眼镜 [true,false]  
    "expression": 34,//微笑[0(normal)~50(smile)~100(laugh)]  
    "beauty": 80,//魅力 [0~100]

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调用腾讯优图开放平台进行人脸识别:Java调用API实现

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