如何从“视频流”中裁剪检测到的脸部，并将其存储在使用OpenCV Java的文件夹中？ [英] How can I crop Detected Face from the Video Streaming and store it in a folder using OpenCV Java?
本文介绍了如何从“视频流”中裁剪检测到的脸部，并将其存储在使用OpenCV Java的文件夹中？的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我努力尝试，但无法获得所需的输出。
package code03;
import java.awt.Graphics;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.awt.image.BufferedImage;
import javax.swing.JButton;
import javax.swing.JFrame;
import javax.swing.JPanel;
import javax.swing.JTextField;
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.highgui.VideoCapture;
import org.opencv.objdetect.CascadeClassifier;
public class VideoPanel2扩展JPanel实现ActionListener
{
private static final long serialVersionUID = 1L;
// ******************************************** ************************************************** *
private BufferedImage image;
int count = 1;
// ******************************************** ************************************************** *
public VideoPanel2（）
{
super（）;
}
// ***************************************** ************************************************** ******
public BufferedImage getimage（）
{
return image;
}
// ***************************************** ************************************************** ******
public void setimage（BufferedImage newimage）
{
image = newimage;
return;
}
// ***************************************** ************************************************** ******
public void paintComponent（Graphics g）
{
super.paintComponent（g）;
if（this.image == null）return;
g.drawImage（this.image，10,492,650,43，this.image.getWidth（），this.image.getHeight（），count，count，null）;
}
// ***************************************** ************************************************** ******
public void DatainIt（）throws异常{
JFrame frame = new JFrame（Face Detection）;
frame.setDefaultCloseOperation（JFrame.EXIT_ON_CLOSE）;
frame.setSize（800,800）;
System.loadLibrary（opencv_java249）;
CascadeClassifier faceDetector = new CascadeClassifier（./ res / haarcascade_frontalface_alt.xml）;
// CascadeClassifier faceDetector = new CascadeClassifier（./ res / lbpcascade_frontalface.xml）;
VideoPanel2 vidPanel = new VideoPanel2（）;
frame.setContentPane（vidPanel）;
// BUTTON
JButton save = new JButton（添加新人）;
//save.setBounds（2，2，30，80）;
JPanel pbutton = new JPanel（）;
pbutton.add（save）;
// TextField
JTextField p_name = new JTextField（25）;
frame.add（p_name）;
frame.add（pbutton）;
frame.setVisible（true）;
save.addActionListener（this）;
Mat webcam_image = new Mat（）;
MatToBufImg mat2Buf = new MatToBufImg（）;
VideoCapture capture = new VideoCapture（0）;
if（capture.isOpened（））
{
线程.sleep（100）; //给网络摄像头时间初始化
while（true）
{
capture.read（webcam_image）;
if（！webcam_image.empty（））
{
frame.setSize（webcam_image.width（）+ 40，webcam_image.height（）+ 60）;
MatOfRect faceDetections = new MatOfRect（）;
faceDetector.detectMultiScale（webcam_image，faceDetections）;
（Rect rect：faceDetections.toArray（））
{
Core.rectangle（webcam_image，new Point（rect.x，rect.y）），新的Point（rect.x + rect .width，rect.y + rect.height），新的Scalar（0,255,0））;
// Mat croppedImage = setimage（rect）;
}
mat2Buf.setMatrix（webcam_image，.jpg）;
//Highgui.imwrite(\"webcam_image.jpg，faceDetections）;
// File file = new File（Image+。+.jpg）;
//ImageIO.write((RenderedImage）webcam_image，.jpg，file）;
vidPanel.setimage（mat2Buf.getBufferedImage（））;
vidPanel.repaint（）;
//获取视频流
// BufferedImage bi = mat2Buf.getBufferedImage（）; // getimage（）;
//bi.getSubimage(arg0，arg1，arg2，arg3）;
// File outputfile = new File（D：\\Java Project\\FaceRecognition\\src\\code03\\Face Database\\\saved.jpg ）;
//ImageIO.write((RenderedImage）bi，jpg，outputfile）;
}
else
{
System.out.println（WebCam Capture的问题）;
break;
}
}
} // end if
capture.release（）;
} // end DatainIt（）
// ********************************* ************************************************** ************
public static void main（String arg []）throws Exception {
VideoPanel2 vid = new VideoPanel2（）;
vid.DatainIt（）;
} // end main
// ************************************* ************************************************** **********
public void actionPerformed（ActionEvent arg0）{
}
} //类结束
此课程中使用的其他文件的代码是：
package code03;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.InputStream;
import javax.imageio.ImageIO;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
import org.opencv.highgui.Highgui;
public class MatToBufImg {
Mat矩阵;
MatOfByte暴徒
String fileExten;
public MatToBufImg（）{
}
public MatToBufImg（Mat amatrix，String fileExt）{
matrix = amatrix;
fileExten = fileExt;
}
public void setMatrix（Mat amatrix，String fileExt）{
matrix = amatrix;
fileExten = fileExt;
mob = new MatOfByte（）;
}
public BufferedImage getBufferedImage（）{
Highgui.imencode（fileExten，matrix，mob）;
byte [] byteArray = mob.toArray（）;
BufferedImage bufImage = null;
try {
InputStream in = new ByteArrayInputStream（byteArray）;
bufImage = ImageIO.read（in）;
} catch（Exception e）{
e.printStackTrace（）;
}
return bufImage;
}
}
解决方案
你的代码，你正在检测Face矩形作为MatOfRect并在视频上绘制一个矩形。
Core.rectangle（webcam_image，new Point （rect.x，rect.y），新的Point（rect.x + rect.width，rect.y + rect.height），新的Scalar（0,255,0））;
在这里，您已经拥有所需的图像。因此，将框架的一部分作为：
Mat faceROI = new Mat（webcam_image，rect）;
Highgui.imwrite（Face_frameNumber_faceInImageNumber.jpeg，faceROI）;
此外，请考虑移动到Opencv 3.1 /最新版本。您将受益于过去一年推出的新功能，如优化和许多算法。
OPENCV 3开始：
Highgui现在已经破坏了VideoIO和ImgCodecs。另外，像函数的Core.rectangle已经移动到ImgProc。
I am using OpenCV 2.4.9, Java language and eclipse. My Face Detection code is given below. The question is how can I crop out the detected face and store it in a folder?
I've trying hard for it but couldn't get the required output.
package code03;
import java.awt.Graphics;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.awt.image.BufferedImage;
import javax.swing.JButton;
import javax.swing.JFrame;
import javax.swing.JPanel;
import javax.swing.JTextField;
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.highgui.VideoCapture;
import org.opencv.objdetect.CascadeClassifier;
public class VideoPanel2 extends JPanel implements ActionListener
{
private static final long serialVersionUID = 1L;
//***********************************************************************************************
private BufferedImage image;
int count = 1;
//***********************************************************************************************
public VideoPanel2()
{
super();
}
//***********************************************************************************************
public BufferedImage getimage()
{
return image;
}
//***********************************************************************************************
public void setimage(BufferedImage newimage)
{
image = newimage;
return;
}
//***********************************************************************************************
public void paintComponent(Graphics g)
{
super.paintComponent(g);
if (this.image==null) return;
g.drawImage(this.image,10,492,650,43,this.image.getWidth(),this.image.getHeight(), count, count, null);
}
//***********************************************************************************************
public void DatainIt() throws Exception{
JFrame frame = new JFrame("Face Detection");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.setSize(800,800);
System.loadLibrary("opencv_java249");
CascadeClassifier faceDetector = new CascadeClassifier("./res/haarcascade_frontalface_alt.xml");
//CascadeClassifier faceDetector = new CascadeClassifier("./res/lbpcascade_frontalface.xml");
VideoPanel2 vidPanel = new VideoPanel2();
frame.setContentPane(vidPanel);
//BUTTON
JButton save = new JButton("Add a new Person");
//save.setBounds(2, 2, 30, 80);
JPanel pbutton = new JPanel();
pbutton.add(save);
//TextField
JTextField p_name = new JTextField(25);
frame.add(p_name);
frame.add(pbutton);
frame.setVisible(true);
save.addActionListener(this);
Mat webcam_image = new Mat();
MatToBufImg mat2Buf = new MatToBufImg();
VideoCapture capture = new VideoCapture(0);
if(capture.isOpened())
{
Thread .sleep(100); //Give time to webcam to initialize itself
while(true)
{
capture.read(webcam_image);
if(!webcam_image.empty())
{
frame.setSize(webcam_image.width()+40, webcam_image.height()+60);
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(webcam_image, faceDetections);
for(Rect rect : faceDetections.toArray())
{
Core.rectangle(webcam_image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255,0));
//Mat croppedImage = setimage(rect);
}
mat2Buf.setMatrix(webcam_image, ".jpg");
//Highgui.imwrite("webcam_image.jpg", faceDetections);
//File file = new File("Image" + "." + ".jpg");
//ImageIO.write((RenderedImage) webcam_image, ".jpg", file);
vidPanel.setimage(mat2Buf.getBufferedImage());
vidPanel.repaint();
// get the video stream
//BufferedImage bi = mat2Buf.getBufferedImage();//getimage();
//bi.getSubimage(arg0, arg1, arg2, arg3);
//File outputfile= new File("D:\\Java Project\\FaceRecognition\\src\\code03\\Face Database\\saved.jpg");
//ImageIO.write((RenderedImage) bi, "jpg", outputfile);
}
else
{
System.out.println("Problems with WebCam Capture");
break;
}
}
}//end if
capture.release();
}//end DatainIt()
//***********************************************************************************************
public static void main(String arg[]) throws Exception{
VideoPanel2 vid = new VideoPanel2();
vid.DatainIt();
}//end main
//***********************************************************************************************
public void actionPerformed(ActionEvent arg0) {
}
}//end of class
The code of other file used in this class is:
package code03;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.InputStream;
import javax.imageio.ImageIO;
import org.opencv.core.Mat;
import org.opencv.core.MatOfByte;
import org.opencv.highgui.Highgui;
public class MatToBufImg{
Mat matrix;
MatOfByte mob;
String fileExten;
public MatToBufImg(){
}
public MatToBufImg(Mat amatrix, String fileExt){
matrix = amatrix;
fileExten = fileExt;
}
public void setMatrix(Mat amatrix, String fileExt){
matrix = amatrix;
fileExten = fileExt;
mob = new MatOfByte();
}
public BufferedImage getBufferedImage(){
Highgui.imencode(fileExten, matrix, mob);
byte[] byteArray = mob.toArray();
BufferedImage bufImage = null;
try{
InputStream in = new ByteArrayInputStream(byteArray);
bufImage = ImageIO.read(in);
}catch(Exception e){
e.printStackTrace();
}
return bufImage;
}
}
解决方案
In your code, you are detecting Face rectangles as MatOfRect and drawing a rectangle on the video.
Core.rectangle(webcam_image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255,0));
Here, you already have the roi of the image you need. So crop the roi part of the frame as:
Mat faceROI = new Mat(webcam_image,rect);
Highgui.imwrite("Face_frameNumber_faceInImageNumber.jpeg", faceROI);
Also, please consider moving to Opencv 3.1/latest version. You will benefit from the new features such as optimisations and many algorithms which have been contributed over past year.
OPENCV 3 onwards:
Highgui is now broken to VideoIO and ImgCodecs. Also, Core.rectangle like functions has moved to ImgProc.
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