Java + OpenCV 实现拍照
2021/12/10 17:16:44
本文主要是介绍Java + OpenCV 实现拍照,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
由于项目需要拍照,看了好多的资料不是C语言的就是python,开始用的JavaCv但是有好多问题,所以改成了OpenCv
只能硬着上了,查了好的网上的资料,终于找到了
依赖jar包:只有一个OpenCv的jar包,可以直接从官网上下载
下面上代码
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.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.videoio.VideoCapture;
import org.opencv.videoio.Videoio;
public class CaptureBasic extends JPanel {
private static BufferedImage mImg;
private static VideoCapture capture;
private static Mat capImg;
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);
capImg=new Mat();
capture =new VideoCapture(0);
// capture.open(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");
saveImg();
}
@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<5){
System.out.println("第"+n+"张");
capture.read(capImg);
Imgproc.cvtColor(capImg, temp, Imgproc.COLOR_BGRA2BGR);
// Imgcodecs.imwrite("C:/HWKJ/opencv/"+n+".png", temp); //自动保存
// panel.mImg=panel.mat2BI(detectFace(capImg));
panel.mImg=panel.mat2BI(capImg);
panel.repaint();
// n++;
//break;
}
capture.release();
// frame.dispose();
}catch(Exception e){
System.out.println("例外:" + e);
}finally{
System.out.println("--done--");
}
}
//点击面板
public static void saveImg(){
Mat temp=new Mat();
int height = (int)capture.get(Videoio.CAP_PROP_FRAME_HEIGHT);
int width = (int)capture.get(Videoio.CAP_PROP_FRAME_WIDTH);
capture.read(capImg);
Imgproc.cvtColor(capImg, temp, Imgproc.COLOR_BGRA2BGR);
Imgcodecs.imwrite("C:/HWKJ/opencv/aaa.png", temp);
System.out.println("保存图片");
}
}
点击在对应目录下生成的照片
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