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# -*- coding: utf-8 -*-
"""
@Time : 2022/4/14 1:07
@Auth : BalalaEnergy
@File :face.py
@IDE :PyCharm
"""
import sys
import face_recognition
def face_check(target_face_path, check_face_path):
"""
:param target_face_path: 源人脸图片地址
:param check_face_path: 待检测人脸图片地址
:return: A list of True/False values indicating which known_face_encodings match the face encoding to check
"""
# 将base64图片转为转码
target_image = face_recognition.load_image_file(target_face_path)
# 计算已知图片对应的编码
target_face_encoding = face_recognition.face_encodings(target_image)[0]
target_encodings = [
target_face_encoding
]
# 加载一张未知面孔的图片
image_to_check = face_recognition.load_image_file(check_face_path)
# 计算图片对应的编码
check_face_encoding = face_recognition.face_encodings(image_to_check)[0]
# 返回识别结果
return face_recognition.compare_faces(target_encodings, check_face_encoding)
if __name__ == '__main__':
for i in range(len(sys.argv)):
print(sys.argv[i])
target_path = sys.argv[1]
check_path = sys.argv[2]
result = face_check(target_path, check_path)[0]
print(result)
注意:这里使用的本地图片的方式,如果是网络连接,可以先保存到本地,然后再已路径的方式传递脚本
注意:
Java调用Python脚本大致有两种方式:
通过Java编写的解释器;jpython;、
优点
- 调用简单,只需要引入jar依赖包
缺点:
基于Python2开发,不能使用Python3的语法
依赖不一定能安装上
调用本地Python解释器
优点
- 不局限与JPython版本
- 支持任意版本Python解释器
缺点:
- 参数传递会有局限性(不能传过长的参数,应该是命令行最大字符限制:2048)
package com.balalaenergy.utils;
import com.balalaenergy.utils.entity.FaceCheckReq;
import com.balalaenergy.utils.entity.FaceCheckRsp;
import lombok.extern.slf4j.Slf4j;
import sun.misc.BASE64Decoder;
import java.io.*;
import java.util.Base64;
/**
* @author :BalalaEnergy
* @date :Created in 2022/4/14 20:19
* @description: 人脸识别工具类
* @modified By:
*/
@Slf4j
public class FaceCheckUtil {
/**
* 人脸识别工具类
*
* @param faceCheckReq
*/
public static FaceCheckRsp checkFaceCheck(FaceCheckReq faceCheckReq) {
Process proc;
boolean result;
try {
//指定命令、路径、传递的参数
String[] arguments = new String[]{faceCheckReq.getPythonExePath(), faceCheckReq.getTargetPythonFile(), faceCheckReq.getTargetFace(), faceCheckReq.getCheckFace()};
proc = Runtime.getRuntime().exec(arguments);
BufferedReader in = new BufferedReader(new InputStreamReader(proc.getInputStream()));
String line;
while ((line = in.readLine()) != null) {
System.out.println("接收到python脚本打印信息:" + line);
try {
result = Boolean.parseBoolean(line);
if (result) {
return new FaceCheckRsp(Boolean.TRUE);
}
} catch (Exception e) {
log.error("人脸识别异常", e);
return new FaceCheckRsp(Boolean.FALSE);
}
}
in.close();
proc.waitFor();
} catch (IOException | InterruptedException e) {
e.printStackTrace();
return new FaceCheckRsp(Boolean.FALSE);
}
return new FaceCheckRsp(false);
}
public static void main(String[] args) {
String target = getImageStr("target.jpg");
String source = getImageStr("source.jpg");
FaceCheckReq faceCheckReq = new FaceCheckReq();
faceCheckReq.setPythonExePath("python解释器本地安装路径");
String targetPythonDir = "需要执行的python 脚本路径";
String targetPicPath = targetPythonDir + "target.jpg";
String checkPicPath = targetPythonDir + "check.jpg";
GenerateImage(targetPicPath, target);
GenerateImage(checkPicPath, source);
faceCheckReq.setTargetPythonFile(targetPythonDir + "face_check.py");
faceCheckReq.setTargetFace(targetPicPath);
faceCheckReq.setCheckFace(checkPicPath);
FaceCheckRsp faceCheckRsp = checkFaceCheck(faceCheckReq);
System.out.println("人脸检测:" + (faceCheckRsp.getIsCheck() ? "成功" : "失败"));
}
public static String getImageStr(String imgFile) {
InputStream inputStream;
byte[] data = null;
try {
inputStream = new FileInputStream(imgFile);
data = new byte[inputStream.available()];
inputStream.read(data);
inputStream.close();
} catch (IOException e) {
e.printStackTrace();
}
// 加密
return Base64.getEncoder().encodeToString(data);
}
/**
* 对字节数组字符串进行Base64解码并生成图片
*
* @param imgStr
* @return
*/
public static boolean GenerateImage(String path, String imgStr) {
if (imgStr == null) {
// 图像数据为空
return false;
}
BASE64Decoder decoder = new BASE64Decoder();
try {
// Base64解码
byte[] b = decoder.decodeBuffer(imgStr);
for (int i = 0; i < b.length; ++i) {
// 调整异常数据
if (b[i] < 0) {
b[i] += 256;
}
}
// 生成jpeg图片
// 新生成的图片
OutputStream out = new FileOutputStream(path);
out.write(b);
out.flush();
out.close();
return true;
} catch (Exception e) {
return false;
}
}
}
/**
* @author :BalalaEnergy
* @date :Created in 2022/4/14 20:27
* @description:
* @modified By:
*/
@Data
public class FaceCheckReq {
/**
* python exe路径
*/
private String pythonExePath;
/**
* 要执行的python文件
*/
private String targetPythonFile;
/**
* 目标人脸数据,已保存
*/
private String targetFace;
/**
* 要检测的人脸数据,待检测
*/
private String checkFace;
}