OpenCV Java实现人脸识别和裁剪功能

作者：蛇皮皮蛋时间：2022-08-21 01:47:23　

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，地址

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>

<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>



<dependency>
<groupId>org.bytedeco</groupId>
<artifactId>javacv-platform</artifactId>
<version>1.4.1</version>
</dependency>

<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();
}
}

}