java呼叫本地攝像頭，實現人臉識別
package com.lw.test;
import java.awt.Graphics;
import java.awt.event.MouseAdapter;
import java.awt.event.MouseEvent;
import java.awt.image.BufferedImage;
import javax.swing.JFrame;
import javax.swing.JPanel;
import javax.swing.WindowConstants;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfDouble;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.imgproc.Imgproc;
import org.opencv.ml.SVM;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.objdetect.HOGDescriptor;
import org.opencv.videoio.VideoCapture;
import org.opencv.videoio.Videoio;
public class CaptureBasic extends JPanel {
private BufferedImage mImg;
private BufferedImage mat2BI(Mat mat){
int dataSize =mat.cols()*mat.rows()*(int)mat.elemSize();
byte[] data=new byte[dataSize];
mat.get(0, 0,data);
int type=mat.channels()==1?
BufferedImage.TYPE_BYTE_GRAY:BufferedImage.TYPE_3BYTE_BGR;
if(type==BufferedImage.TYPE_3BYTE_BGR){
for(int i=0;i<dataSize;i+=3){
byte blue=data[i+0];
data[i+0]=data[i+2];
data[i+2]=blue;
}
}
BufferedImage image=new BufferedImage(mat.cols(),mat.rows(),type);
image.getRaster().setDataElements(0, 0, mat.cols(), mat.rows(), data);
return image;
}
public void paintComponent(Graphics g){
if(mImg!=null){
g.drawImage(mImg, 0, 0, mImg.getWidth(),mImg.getHeight(),this);
}
}
public static void main(String[] args) {
try{
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
Mat capImg=new Mat();
VideoCapture capture=new VideoCapture(0);
int height = (int)capture.get(Videoio.CAP_PROP_FRAME_HEIGHT);
int width = (int)capture.get(Videoio.CAP_PROP_FRAME_WIDTH);
if(height==0||width==0){
throw new Exception("camera not found!");
}
JFrame frame=new JFrame("camera");
frame.setDefaultCloseOperation(WindowConstants.DISPOSE_ON_CLOSE);
CaptureBasic panel=new CaptureBasic();
panel.addMouseListener(new MouseAdapter() {
@Override
public void mouseClicked(MouseEvent arg0) {
System.out.println("click");
}
@Override
public void mouseMoved(MouseEvent arg0) {
System.out.println("move");
}
@Override
public void mouseReleased(MouseEvent arg0) {
System.out.println("mouseReleased");
}
@Override
public void mousePressed(MouseEvent arg0) {
System.out.println("mousePressed");
}
@Override
public void mouseExited(MouseEvent arg0) {
System.out.println("mouseExited");
//System.out.println(arg0.toString());
}
@Override
public void mouseDragged(MouseEvent arg0) {
System.out.println("mouseDragged");
//System.out.println(arg0.toString());
}
});
frame.setContentPane(panel);
frame.setVisible(true);
frame.setSize(width+frame.getInsets().left+frame.getInsets().right,
height+frame.getInsets().top+frame.getInsets().bottom);
int n=0;
Mat temp=new Mat();
while(frame.isShowing()&& n<500){
//System.out.println("第"+n+"張");
capture.read(capImg);
Imgproc.cvtColor(capImg, temp, Imgproc.COLOR_RGB2GRAY);
//Imgcodecs.imwrite("G:/opencv/lw/neg/back"+n+".png", temp);
panel.mImg=panel.mat2BI(detectFace(capImg));
panel.repaint();
//n++;
//break;
}
capture.release();
frame.dispose();
}catch(Exception e){
System.out.println("例外：" + e);
}finally{
System.out.println("--done--");
}
}
/**
* opencv實現人臉識別
* @param img
*/
public static Mat detectFace(Mat img) throws Exception
{
System.out.println("Running DetectFace ... ");
// 從配置檔案lbpcascade_frontalface.xml中建立一個人臉識別器，該檔案位於opencv安裝目錄中
CascadeClassifier faceDetector = new CascadeClassifier("D:\\TDDOWNLOAD\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml");
// 在圖片中檢測人臉
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(img, faceDetections);
//System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
Rect[] rects = faceDetections.toArray();
if(rects != null && rects.length >= 1){
for (Rect rect : rects) {
Imgproc.rectangle(img, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
new Scalar(0, 0, 255), 2);
}
}
return img;
}
/**
* opencv實現人型識別，hog預設的分類器。所以效果不好。
* @param img
*/
public static Mat detectPeople(Mat img) {
//System.out.println("detectPeople...");
if (img.empty()) {
System.out.println("image is exist");
}
HOGDescriptor hog = new HOGDescriptor();
hog.setSVMDetector(HOGDescriptor.getDefaultPeopleDetector());
System.out.println(HOGDescriptor.getDefaultPeopleDetector());
//hog.setSVMDetector(HOGDescriptor.getDaimlerPeopleDetector());
MatOfRect regions = new MatOfRect();
MatOfDouble foundWeights = new MatOfDouble();
//System.out.println(foundWeights.toString());
hog.detectMultiScale(img, regions, foundWeights);
for (Rect rect : regions.toArray()) {
Imgproc.rectangle(img, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),new Scalar(0, 0, 255), 2);
}
return img;
}
}