旷视人脸识别代码
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servlet
package com.sxr; import javax.net.ssl.SSLException; import java.io.*; import java.net.HttpURLConnection; import java.net.URL; import java.net.URLEncoder; import java.util.HashMap; import java.util.Iterator; import java.util.Map; import java.util.Random; public class HTTPUtil private final static int CONNECT_TIME_OUT = 30000; private final static int READ_OUT_TIME = 50000; private static String boundaryString = getBoundary(); public static byte[] post(String url, HashMap<String, String> map, HashMap<String, byte[]> fileMap) throws Exception HttpURLConnection conne; URL url1 = new URL(url); conne = (HttpURLConnection) url1.openConnection(); conne.setDoOutput(true); conne.setUseCaches(false); conne.setRequestMethod("POST"); conne.setConnectTimeout(CONNECT_TIME_OUT); conne.setReadTimeout(READ_OUT_TIME); conne.setRequestProperty("accept", "*/*"); conne.setRequestProperty("Content-Type", "multipart/form-data; boundary=" + boundaryString); conne.setRequestProperty("connection", "Keep-Alive"); conne.setRequestProperty("user-agent", "Mozilla/4.0 (compatible;MSIE 6.0;Windows NT 5.1;SV1)"); DataOutputStream obos = new DataOutputStream(conne.getOutputStream()); Iterator iter = map.entrySet().iterator(); while (iter.hasNext()) Map.Entry<String, String> entry = (Map.Entry) iter.next(); String key = entry.getKey(); String value = entry.getValue(); obos.writeBytes("--" + boundaryString + "\\r\\n"); obos.writeBytes("Content-Disposition: form-data; name=\\"" + key + "\\"\\r\\n"); obos.writeBytes("\\r\\n"); obos.writeBytes(value + "\\r\\n"); if (fileMap != null && fileMap.size() > 0) Iterator fileIter = fileMap.entrySet().iterator(); while (fileIter.hasNext()) Map.Entry<String, byte[]> fileEntry = (Map.Entry<String, byte[]>) fileIter.next(); obos.writeBytes("--" + boundaryString + "\\r\\n"); obos.writeBytes("Content-Disposition: form-data; name=\\"" + fileEntry.getKey() + "\\"; filename=\\"" + encode(" ") + "\\"\\r\\n"); obos.writeBytes("\\r\\n"); obos.write(fileEntry.getValue()); obos.writeBytes("\\r\\n"); obos.writeBytes("--" + boundaryString + "--" + "\\r\\n"); obos.writeBytes("\\r\\n"); obos.flush(); obos.close(); InputStream ins = null; int code = conne.getResponseCode(); try if (code == 200) ins = conne.getInputStream(); else ins = conne.getErrorStream(); catch (SSLException e) e.printStackTrace(); return new byte[0]; ByteArrayOutputStream baos = new ByteArrayOutputStream(); byte[] buff = new byte[4096]; int len; while ((len = ins.read(buff)) != -1) baos.write(buff, 0, len); byte[] bytes = baos.toByteArray(); ins.close(); return bytes; private static String getBoundary() StringBuilder sb = new StringBuilder(); Random random = new Random(); for (int i = 0; i < 32; ++i) sb.append("ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789_-".charAt(random.nextInt("ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789_".length()))); return sb.toString(); private static String encode(String value) throws Exception return URLEncoder.encode(value, "UTF-8"); public static byte[] getBytesFromFile(File f) if (f == null) return null; try FileInputStream stream = new FileInputStream(f); ByteArrayOutputStream out = new ByteArrayOutputStream(1000); byte[] b = new byte[1000]; int n; while ((n = stream.read(b)) != -1) out.write(b, 0, n); stream.close(); out.close(); return out.toByteArray(); catch (IOException e) return null;
FaceUtil
package com.sxr; import com.alibaba.fastjson.JSONArray; import com.alibaba.fastjson.JSONObject; import java.io.File; import java.io.IOException; import java.io.InputStream; import java.util.HashMap; import java.util.Properties; public class FaceUtil private static HashMap<String, String> map = new HashMap<>(); static //读取配置文件当中的内容 Properties pro = new Properties(); InputStream in = FaceUtil.class.getResourceAsStream("/api.properties"); try pro.load(in); map.put("api_key", pro.getProperty("API_KEY")); map.put("api_secret", pro.getProperty("API_SECRET")); map.put("display_name", pro.getProperty("DISPLAY_NAME")); map.put("outer_id", pro.getProperty("OUTER_ID")); catch (IOException e) System.out.println("配置文件读取错误"); throw new RuntimeException(e); /** * 查询指定的人脸是否在人脸集合faceset中存在 * * @param * @return * @throws Exception */ public static boolean getDetail() throws Exception String url = " https://api-cn.faceplusplus.com/facepp/v3/faceset/getdetail"; byte[] bacd = HTTPUtil.post(url, map, null); //符合json格式的字符串 String str = new String(bacd); //转换为json对象 System.out.println(str); if (str.indexOf("error_message") != -1) return false; return true; public static boolean createFaceset() throws Exception String url = "https://api-cn.faceplusplus.com/facepp/v3/faceset/create"; byte[] bacd = HTTPUtil.post(url, map, null); //符合json格式的字符串 String str = new String(bacd); //转换为json对象 System.out.println(str); if (str.indexOf("error_message") != -1) return false; return true; public static boolean addFace(String faceToken) throws Exception boolean res = getDetail();//先查询是否有知道的人脸集合 if (!res) //如果没有就创建 res = createFaceset(); if (res) return false; String url = " https://api-cn.faceplusplus.com/facepp/v3/faceset/addface"; map.put("face_tokens", faceToken); byte[] bacd = HTTPUtil.post(url, map, null); //符合json格式的字符串 String str = new String(bacd); //转换为json对象 System.out.println(str); if (str.indexOf("error_message") != -1) return false; return true; /** * 查询指定的人脸是否在人脸集合faceset中存在 * * @param faceToken * @return * @throws Exception */ public static boolean search(String faceToken) throws Exception String url = "https://api-cn.faceplusplus.com/facepp/v3/search"; map.put("face_token", faceToken); byte[] bacd = HTTPUtil.post(url, map, null); //符合json格式的字符串 String str = new String(bacd); //转换为json对象 System.out.println(str); if (str.indexOf("error_message") != -1) return false; //转换为json对象 JSONObject jsonObject = JSONObject.parseObject(str); JSONObject thresholdsObject = (JSONObject) jsonObject.get("thresholds"); double le5 = thresholdsObject.getDoubleValue("le-5"); //十万分之一的误信率阈值 JSONArray resArr = (JSONArray) jsonObject.get("results"); if (resArr != null && resArr.size() >= 1) JSONObject res = (JSONObject) resArr.get(0); //取出数组中第一个对象 double confidence = res.getDoubleValue("confidence"); if (confidence > le5) return true; return false; /** * 根据传入的图片进行人脸检测 * * @param file 传入人脸图片 * @return 返回人脸照片，如果为空，说明图片有问题 */ public static String detect(File file) throws Exception byte[] buff = HTTPUtil.getBytesFromFile(file); String url = "https://api-cn.faceplusplus.com/facepp/v3/detect"; HashMap<String, byte[]> byteMap = new HashMap<>(); // map.put("return_landmark", "1"); // map.put("return_attributes", "gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,ethnicity,beauty,mouthstatus,eyegaze,skinstatus"); byteMap.put("image_file", buff); byte[] bacd = HTTPUtil.post(url, map, byteMap); //符合json格式的字符串 String str = new String(bacd); //转换为json对象 System.out.println(str); if (str.indexOf("error_message") != -1) System.out.println("请求发生错误"); return null; JSONObject jsonObject = JSONObject.parseObject(str); int num = jsonObject.getIntValue("face_num"); if (num == 1) JSONArray array = (JSONArray) jsonObject.get("faces"); JSONObject face = (JSONObject) array.get(0); String faceToken = face.getString("face_token"); return faceToken; return null;
HTTPUtil
package com.sxr; import javax.net.ssl.SSLException; import java.io.*; import java.net.HttpURLConnection; import java.net.URL; import java.net.URLEncoder; import java.util.HashMap; import java.util.Iterator; import java.util.Map; import java.util.Random; public class HTTPUtil private final static int CONNECT_TIME_OUT = 30000; private final static int READ_OUT_TIME = 50000; private static String boundaryString = getBoundary(); public static byte[] post(String url, HashMap<String, String> map, HashMap<String, byte[]> fileMap) throws Exception HttpURLConnection conne; URL url1 = new URL(url); conne = (HttpURLConnection) url1.openConnection(); conne.setDoOutput(true); conne.setUseCaches(false); conne.setRequestMethod("POST"); conne.setConnectTimeout(CONNECT_TIME_OUT); conne.setReadTimeout(READ_OUT_TIME); conne.setRequestProperty("accept", "*/*"); conne.setRequestProperty("Content-Type", "multipart/form-data; boundary=" + boundaryString); conne.setRequestProperty("connection", "Keep-Alive"); conne.setRequestProperty("user-agent", "Mozilla/4.0 (compatible;MSIE 6.0;Windows NT 5.1;SV1)"); DataOutputStream obos = new DataOutputStream(conne.getOutputStream()); Iterator iter = map.entrySet().iterator(); while (iter.hasNext()) Map.Entry<String, String> entry = (Map.Entry) iter.next(); String key = entry.getKey(); String value = entry.getValue(); obos.writeBytes("--" + boundaryString + "\\r\\n"); obos.writeBytes("Content-Disposition: form-data; name=\\"" + key + "\\"\\r\\n"); obos.writeBytes("\\r\\n"); obos.writeBytes(value + "\\r\\n"); if (fileMap != null && fileMap.size() > 0) Iterator fileIter = fileMap.entrySet().iterator(); while (fileIter.hasNext()) Map.Entry<String, byte[]> fileEntry = (Map.Entry<String, byte[]>) fileIter.next(); obos.writeBytes("--" + boundaryString + "\\r\\n"); obos.writeBytes("Content-Disposition: form-data; name=\\"" + fileEntry.getKey() + "\\"; filename=\\"" + encode(" ") + "\\"\\r\\n"); obos.writeBytes("\\r\\n"); obos.write(fileEntry.getValue()); obos.writeBytes("\\r\\n"); obos.writeBytes("--" + boundaryString + "--" + "\\r\\n"); obos.writeBytes("\\r\\n"); obos.flush(); obos.close(); InputStream ins = null; int code = conne.getResponseCode(); try if (code == 200) ins = conne.getInputStream(); else ins = conne.getErrorStream(); catch (SSLException e) e.printStackTrace(); return new byte[0]; ByteArrayOutputStream baos = new ByteArrayOutputStream(); byte[] buff = new byte[4096]; int len; while ((len = ins.read(buff)) != -1) baos.write(buff, 0, len); byte[] bytes = baos.toByteArray(); ins.close(); return bytes; private static String getBoundary() StringBuilder sb = new StringBuilder(); Random random = new Random(); for (int i = 0; i < 32; ++i) sb.append("ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789_-".charAt(random.nextInt("ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789_".length()))); return sb.toString(); private static String encode(String value) throws Exception return URLEncoder.encode(value, "UTF-8"); public static byte[] getBytesFromFile(File f) if (f == null) return null; try FileInputStream stream = new FileInputStream(f); ByteArrayOutputStream out = new ByteArrayOutputStream(1000); byte[] b = new byte[1000]; int n; while ((n = stream.read(b)) != -1) out.write(b, 0, n); stream.close(); out.close(); return out.toByteArray(); catch (IOException e) return null;
TestMain
package com.sxr;
import java.io.*;
public class TestMain
public static void main(String[] args)
// File file = new File("C:\\\\Users\\\\双休日\\\\Desktop\\\\image_file\\\\a22.jpg");
// try
// String faceToken = FaceUtil.detect(file);
// System.out.println(faceToken);
// boolean res = FaceUtil.search(faceToken);
// System.out.println("查找结果：" + res);
// FaceUtil.addFace(faceToken);
// res = FaceUtil.search(faceToken);
// System.out.println("查找结果：" + res);
//// boolean res = FaceUtil.getDetail();
//// System.out.println("查找结果：" + res);
//// if (res == false)
//// res = FaceUtil.createFaceset();
//// System.out.println("创建的faceset--outer_id:test"+res);
////
//// res = FaceUtil.getDetail();
//// System.out.println("查找结果：" + res);
//
// catch (Exception e)
// throw new RuntimeException(e);
//
//
File file = new File("C:\\\\Users\\\\双休日\\\\Desktop\\\\image_file\\\\a1.jpg");
try
String str = FaceUtil.detect(file);//人脸检测
System.out.println("face_token:" + str);
//添加一个人脸到集合中
boolean addRes = FaceUtil.addFace(str);
System.out.println("添加结果：" + addRes);
boolean res = FaceUtil.search(str);//人脸搜索
System.out.println("搜索结果：" + res);
//获取人脸的集合
// res = FaceUtil.getDetail();
// if (!res) //如果没有该集合，就创建一个
// res = FaceUtil.createFaceset();
// System.out.println("如果么有指定的人脸集合，则创建新的");
//
// System.out.println("outer_id为linaFaceset的人脸集合：" + res);
catch (Exception e)
throw new RuntimeException(e);
aip.properties
API_KEY=自己的key API_SECRET=自己的value DISPLAY_NAME=FaceSet OUTER_ID=FaceSet
Python人脸识别最佳教材典范，40行代码搭建人脸识别系统！
Face Id是一款高端的人脸解锁软件，官方称：“在一百万张脸中识别出你的脸。”百度、谷歌、腾讯等各大企业都花费数亿来鞭策人工智能的崛起，而实际的人脸识别技术是否有那么神奇？
绿帽识别器
固然是没有的！万万别再当一只井底之蛙！
互联网火速的发展，网络上大量Python程序员共享的各类资源库，人脸识别早就是各位程序员必备技能之一了，一点也不神奇。
如今只需用Python的数四十行代码就可以完成人脸定位！小编用马蓉照片做一个五官定位！固然python库使用到人工智能定位五官。让机器学习上千张人脸来进行特征提取。然后用这个模子在新的照片中自动找出五官！
五官定位
开发环境：
Python 3 ；
Windows 7或MacOS，以及Linux等所有系统；
一个摄像头、PyCharm；
安装所必要的包
项目python代码：
末了打印出脸部五官的详细坐标，用线条描绘脸部的详细特征。
看小编自拍照的效果：
是不是很棒棒?用了短短不到40行的python代码就完成了人脸面部特征定位的使命，是不是很有造诣感呢？
固然这只是非常傻瓜的入门人脸识别，若是想深入得学习，请关注我。
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