交通信号灯java代码 交通信号灯编程
求高手帮我看下这个java程序问题出在哪哈
楼主JPanel的XY坐标是以JFrame为基准的，所以
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把下面2句
int x = getWidth() / 2 - width / 2;
int y = getHeight() / 2 - height / 2;
改成
int x = 0;
int y = 0;
就OK了！
楼主程序写的不错！加油！！
求高手帮忙java代码，根据输入的车流量而使红绿灯改变时间的算法
你的问题，现在只能得到这样的答案。还是你说明一下具体应用场所。
及你这个改变时间的规则
------------------------------------------------------------------
public void setTime(long flow) {
if (flow 100) {
} else if (flow 300) {
}
}
java 红绿灯 代码
//按回车键就可以
import java.awt.event.KeyAdapter;
import java.awt.event.KeyEvent;
import javax.swing.JFrame;
import javax.swing.JLabel;
public class Print {
public static void main(String[] args) {
JFrame jFrame = new JFrame ();
final JLabel jLabel = new JLabel ("按回车键！");
jFrame.setLayout(null);
jLabel.setBounds(80,50,500,80);
jFrame.add(jLabel);
jFrame.setSize(200, 200);
jFrame.setLocation(200, 300);
jFrame.setVisible(true);
jFrame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
jFrame.addKeyListener(new KeyAdapter () {
int n = 0;
public void keyPressed(KeyEvent e) {
int keyCode = e.getKeyCode();
if (keyCode == KeyEvent.VK_ENTER) {
n++;
if (n == 1)
jLabel.setText("绿");
else if (n == 2) {
jLabel.setText("红");
} else if (n == 3) {
jLabel.setText("黄");
n = 0;
}
}
}
});
}
}
java 线程实现一个红绿灯问题
关键是启动一个线程控制颜色。代码如下。
import java.applet.Applet;
import java.awt.Color;
import java.awt.Graphics;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
public class Signal extends Applet {
int width = 200, height = 240;
int w = 50, h = 50;
int x = (width - w) / 2, y1 = (height - h * 3) / 3, y2 = y1 + h, y3 = y2 + h;
Color c = Color.RED;
@Override
public void init() {
ScheduledExecutorService exec = Executors.newScheduledThreadPool(1);
exec.scheduleAtFixedRate(new Runnable() {
@Override
public void run() {
if (c == Color.RED) {
c = Color.YELLOW;
} else if (c == Color.YELLOW) {
c = Color.GREEN;
} else if (c == Color.GREEN) {
c = Color.RED;
}
repaint();
}
}, 5, 5, TimeUnit.SECONDS);
}
@Override
public void paint(Graphics g) {
setBackground(Color.white);
// all gray
g.setColor(Color.LIGHT_GRAY);
g.fillOval(x, y1, w, h);
g.fillOval(x, y2, w, h);
g.fillOval(x, y3, w, h);
if (c == Color.RED) {
g.setColor(Color.RED);
g.fillOval(x, y1, w, h);
} else if (c == Color.YELLOW) {
g.setColor(Color.YELLOW);
g.fillOval(x, y2, w, h);
} else if (c == Color.GREEN) {
g.setColor(Color.GREEN);
g.fillOval(x, y3, w, h);
}
}
}
求Java大神帮我看一下这个红绿灯的代码，很短
楼主，怎么说你 呢？粗心把
仔细看看 是不是类中有类，把那个窗口类放到外面~~
还有，貌似你的制图也是有问题的~~~
求完整的基于opencv的交通信号灯检测与识别的代码
OpenCV
整个项目的结构图：
编写DetectFaceDemo.java,代码如下：
[java] view
plaincopyprint?
package com.njupt.zhb.test;
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.Highgui;
import org.opencv.objdetect.CascadeClassifier;
//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
public class DetectFaceDemo {
public void run() {
System.out.println("\nRunning DetectFaceDemo");
System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());
// Create a face detector from the cascade file in the resources
// directory.
//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());
//Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());
//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误
/*
* Detected 0 faces Writing faceDetection.png libpng warning: Image
* width is zero in IHDR libpng warning: Image height is zero in IHDR
* libpng error: Invalid IHDR data
*/
//因此，我们将第一个字符去掉
String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);
CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);
Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
// Draw a bounding box around each face.
for (Rect rect : faceDetections.toArray()) {
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
}
// Save the visualized detection.
String filename = "faceDetection.png";
System.out.println(String.format("Writing %s", filename));
Highgui.imwrite(filename, image);
}
}
package com.njupt.zhb.test;
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.Highgui;
import org.opencv.objdetect.CascadeClassifier;
//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
public class DetectFaceDemo {
public void run() {
System.out.println("\nRunning DetectFaceDemo");
System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());
// Create a face detector from the cascade file in the resources
// directory.
//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());
//Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());
//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误
/*
* Detected 0 faces Writing faceDetection.png libpng warning: Image
* width is zero in IHDR libpng warning: Image height is zero in IHDR
* libpng error: Invalid IHDR data
*/
//因此，我们将第一个字符去掉
String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);
CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);
Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
// Draw a bounding box around each face.
for (Rect rect : faceDetections.toArray()) {
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
}
// Save the visualized detection.
String filename = "faceDetection.png";
System.out.println(String.format("Writing %s", filename));
Highgui.imwrite(filename, image);
}
}
3.编写测试类：
[java] view
plaincopyprint?
package com.njupt.zhb.test;
public class TestMain {
public static void main(String[] args) {
System.out.println("Hello, OpenCV");
// Load the native library.
System.loadLibrary("opencv_java246");
new DetectFaceDemo().run();
}
}
//运行结果:
//Hello, OpenCV
//
//Running DetectFaceDemo
///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml
//Detected 8 faces
//Writing faceDetection.png
package com.njupt.zhb.test;
public class TestMain {
public static void main(String[] args) {
System.out.println("Hello, OpenCV");
// Load the native library.
System.loadLibrary("opencv_java246");
new DetectFaceDemo().run();
}
}
//运行结果:
//Hello, OpenCV
//
//Running DetectFaceDemo
///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml
//Detected 8 faces
//Writing faceDetection.png
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