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