import java.io.ByteArrayOutputStream; import java.io.DataOutputStream; import java.io.File; import java.io.FileInputStream; import java.io.IOException; import java.io.InputStream; 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; import javax.net.ssl.SSLException; public class FacePlus { public static void main(String[] args) throws Exception{ //传入要识别的人脸图像 File file = new File("D:\\images\\20171231163707069.jpg");//自己上传图片 //把要识别的人脸图像转换为byte数组 byte[] buff = getBytesFromFile(file); String url = "https://api-cn.faceplusplus.com/facepp/v3/detect"; HashMap<String, String> map = new HashMap<>(); HashMap<String, byte[]> byteMap = new HashMap<>(); //api_key和api_secret这两个参数是你创建的face++账户后给你的 map.put("api_key", "i7tBGNrfikHwsWuaCDGwyB4t7UkCdm8B"); map.put("api_secret", "XvB1SDljYlZWi4mDrUxmBedYQOzmED0d"); //参数return_landmark 表示要检测的人脸的关键点,参数设为1表示要检测83个人脸关键点, // 传2表示要检测106个关键点,传0表示不检测,利用这个我们可以设置人脸检测的严格程度 map.put("return_landmark", "1"); //return_attributes 表示返回的检测参数,可选的有gender,age,smiling,headpose,facequality, // blur,eyestatus,emotion,ethnicity,beauty,mouthstatus,eyegaze,skinstatus这些参数。分别 // 表示性别,年龄,笑容分析结果,是否佩戴眼镜,人脸姿势,人脸模糊,眼睛状态信息,情绪识别结果, // 人脸质量判断结果(这个参数很关键),人种分析结果,颜值识别结果,嘴部状态信息,眼球位置与视线方向信息, // 面部特征识别结果。 map.put("return_attributes", "gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,ethnicity,beauty,mouthstatus,eyegaze,skinstatus"); byteMap.put("image_file", buff); try{ byte[] bacd = post(url, map, byteMap); String str = new String(bacd); System.out.println(str); }catch (Exception e) { e.printStackTrace(); } } private final static int CONNECT_TIME_OUT = 30000; private final static int READ_OUT_TIME = 50000; private static String boundaryString = getBoundary(); protected 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; } }
人脸识别:扫脸
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