OpenCV Java实现人脸识别和裁剪功能

本文实例为大家分享了opencv java实现人脸识别和裁剪的具体代码，供大家参考，具体内容如下

安装及配置

1.首先安装opencv，

这里我下载的是windows版的3.4.5

然后安装即可……

2.eclipse配置opencv

window->preferences->java->user libraries

new输入你的libraries名

这里我的安装目录是d:\opencv，所以是：

然后引入dll，我是64位机子，所以是：

ok,下面创建java项目做java与opencv的人脸识别。

人脸识别

创建项目后首先右击选择properties

然后引入即可。

引入haarcascade_frontalface_alt.xml这个xml文件：

我的pom文件如下：

 <dependencies>
 <dependency>
 <groupid>org.springframework.boot</groupid>
 <artifactid>spring-boot-starter-web</artifactid>
 </dependency>
 
 
 <dependency>
 <groupid>org.bytedeco.javacpp-presets</groupid>
 <artifactid>ffmpeg</artifactid>
 <version>3.1.2-1.2</version>
 </dependency>
 <dependency>
 <groupid>org.bytedeco</groupid>
 <artifactid>javacv</artifactid>
 <version>1.4.1</version>
 </dependency>
 <!-- https://mvnrepository.com/artifact/org.bytedeco.javacpp-presets/ffmpeg-platform -->
 <dependency>
 <groupid>org.bytedeco.javacpp-presets</groupid>
 <artifactid>ffmpeg-platform</artifactid>
 <version>3.4.2-1.4.1</version>
 </dependency>
 <dependency>
 <groupid>commons-io</groupid>
 <artifactid>commons-io</artifactid>
 <version>2.4</version>
 </dependency>
 
 
 <!-- 视频摄像头 -->
 <!-- https://mvnrepository.com/artifact/org.bytedeco/javacv-platform -->
 <dependency>
 <groupid>org.bytedeco</groupid>
 <artifactid>javacv-platform</artifactid>
 <version>1.4.1</version>
 </dependency>
 <!-- https://mvnrepository.com/artifact/org.bytedeco.javacpp-presets/opencv-platform -->
 <dependency>
 <groupid>org.bytedeco.javacpp-presets</groupid>
 <artifactid>opencv-platform</artifactid>
 <version>3.4.1-1.4.1</version>
 </dependency>
 
 <dependency>
 <groupid>junit</groupid>
 <artifactid>junit</artifactid>
 <version>4.12</version>
 <scope>test</scope>
 </dependency>
 
 <dependency>
 <groupid>org.springframework.boot</groupid>
 <artifactid>spring-boot-starter-test</artifactid>
 <scope>test</scope>
 </dependency>
 </dependencies>

修改我的端口号：

server.port=8889

最后代码如下：

import java.io.bufferedinputstream;
import java.io.bytearrayoutputstream;
import java.io.file;
import java.io.fileinputstream;
import java.io.filenotfoundexception;
import java.io.ioexception;
 
import javax.servlet.http.httpservletresponse;
 
import org.apache.commons.io.fileutils;
import org.opencv.core.core;
import org.opencv.core.mat;
import org.opencv.core.matofrect;
import org.opencv.core.point;
import org.opencv.core.rect;
import org.opencv.core.scalar;
import org.opencv.core.size;
import org.opencv.imgcodecs.imgcodecs;
import org.opencv.imgproc.imgproc;
import org.opencv.objdetect.cascadeclassifier;
import org.springframework.beans.factory.annotation.value;
import org.springframework.core.io.resource;
import org.springframework.web.bind.annotation.postmapping;
import org.springframework.web.bind.annotation.restcontroller;
import org.springframework.web.multipart.multipartfile;
 
/* 
* @author zzf 
* @date 2019年1月17日 下午12:04:45 
*/
@restcontroller
public class opencvcontroller {
 
 @value("classpath:haarcascade_frontalface_alt.xml")
 private resource xml;
 
 @postmapping("/face")
 public void facedetector(httpservletresponse response, multipartfile file) throws ioexception {
 // d:\workspace-sts-3.9.2.release\opencv\src\main\resources
 // string opencvpath = system.getproperty("user.dir") +
 // "\\src\\main\\resources\\";
 // string opencvdllname = opencvpath + core.native_library_name + ".dll";
 // system.load(opencvdllname);
 system.loadlibrary(core.native_library_name);
 system.out.println("人脸检测开始……");
 
 // 创建临时文件，因为boot打包后无法读取文件内的内容
 file targetxmlfile = new file("src/" + xml.getfilename() + "");
 fileutils.copyinputstreamtofile(xml.getinputstream(), targetxmlfile);
 cascadeclassifier facedetector = new cascadeclassifier(targetxmlfile.tostring());
 if (facedetector.empty()) {
 system.out.println("请引入文件……");
 return;
 }
 // 创建图片tempfile
 file tempfile = new file("src/" + file.getoriginalfilename() + "");
 fileutils.copyinputstreamtofile(file.getinputstream(), tempfile);
 
 // 读取创建的图片tempfile
 mat image = imgcodecs.imread(tempfile.tostring());
 matofrect facedetections = new matofrect();
 // 进行人脸检测
 facedetector.detectmultiscale(image, facedetections);
 system.out.println(string.format("检测到人脸： %s", facedetections.toarray().length));
 integer i = 1;
 // 制图将图填充到image中
 for (rect rect : facedetections.toarray()) {
 imgproc.rectangle(image, new point(rect.x, rect.y), new point(rect.x + rect.width, rect.y + rect.height),
  new scalar(0, 255, 0), 3);
 imagecut(tempfile.tostring(), i+".jpg", rect.x, rect.y, rect.width, rect.height);// 进行图片裁剪
 i++;
 }
 // 下面部分是返回给页面
 string filename = file.getoriginalfilename();
 imgcodecs.imwrite(filename, image);
 file imgfile = new file(filename);
 if (imgfile.exists()) {
 response.getoutputstream().write(tobytearray(imgfile));
 response.getoutputstream().close();
 }
 
 // 删除临时文件
 if (targetxmlfile.exists() && targetxmlfile.isfile()) {
 if (targetxmlfile.delete()) {
 system.out.println("删除临时文件" + targetxmlfile + "成功！");
 }
 }
 if (imgfile.exists() && imgfile.isfile()) {
 if (imgfile.delete()) {
 system.out.println("删除临时文件" + imgfile + "成功！");
 }
 }
 if (tempfile.exists() && tempfile.isfile()) {
 if (tempfile.delete()) {
 system.out.println("删除临时文件" + tempfile + "成功！");
 }
 }
 }
 
 public static void imagecut(string imagepath, string outfile, int posx, int posy, int width, int height) {
 // 原始图像
 mat image = imgcodecs.imread(imagepath);
 // 截取的区域：参数,坐标x,坐标y,截图宽度,截图长度
 rect rect = new rect(posx, posy, width, height);
 // 两句效果一样
 mat sub = image.submat(rect); // mat sub = new mat(image,rect);
 mat mat = new mat();
 size size = new size(width, height);
 imgproc.resize(sub, mat, size);// 将人脸进行截图并保存
 imgcodecs.imwrite(outfile, mat);
 system.out.println(string.format("图片裁切成功，裁切后图片文件为： %s", outfile));
 
 }
 
 public static byte[] tobytearray(file file) throws ioexception {
 file f = file;
 if (!f.exists()) {
 throw new filenotfoundexception("file not exists");
 }
 bytearrayoutputstream bos = new bytearrayoutputstream((int) f.length());
 bufferedinputstream in = null;
 try {
 in = new bufferedinputstream(new fileinputstream(f));
 int buf_size = 1024;
 byte[] buffer = new byte[buf_size];
 int len = 0;
 while (-1 != (len = in.read(buffer, 0, buf_size))) {
 bos.write(buffer, 0, len);
 }
 return bos.tobytearray();
 } catch (ioexception e) {
 e.printstacktrace();
 throw e;
 } finally {
 try {
 in.close();
 } catch (ioexception e) {
 e.printstacktrace();
 }
 bos.close();
 }
 }
 
}

下面来一张我男神们的合照

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