天天向上

https://git-scm.com/downloads
C:\Program Files\Git

drvInstaller 進行解壓縮
執行drvInstaller
手動安裝driver

安裝IIS
開啟新專案WCF Service Application類型
服務介面宣告

1. 委派可以將方法當成參數來進行傳遞委派語法：
[public|private|protected] Delegate [void | 回傳資料型態] 委派名稱 ([參數1, 參數2,…]);

新增一個抽象類別(範本方法)，裡面定義驗算法的骨架TemplateMethod()，包含3個步驟proc1()、proc2()、proc3()；這些步驟實作延遲至繼承的子類別去實作，增加了使用上的彈性。

 1: abstract class AbstractClass

 2: {

 3: protected abstract void proc1();

 4: protected abstract void proc2();

 5: protected abstract void proc3();

 6: public void TemplateMethod()

 7: {

 8: proc1();

 9: proc2();

 10: proc3();

 11: MessageBox.Show("TemplateMethod"); 

 12: }

 13: }

為了最近新專案的需求，內心經過幾番掙扎，總算下定決心更新的我的電腦配備。今天一早趕緊評估採購桌上電腦，下面三台電腦是在我預算內的候選。最後決定花$39,900買 神隱勇士III 6代i7四核SSD電競獨顯電腦(1) i7 或 i5 其實還好，我並沒有特別偏好(2) 擴充介面: 由於本身做工控，所以PCIe如果有支援PCI(舊)可能更好，因為有些軸卡還是採用PCI‧，PCIe反而不適用。PCIe對於LineScan取像速度很重要，X16算是夠力。(3) SSD硬碟: 對於Visual Studio使用者來說，這個是一定要有的配備，否則光開啟專案就會等個老半天。(4) 獨立顯卡: 之前使用NVidia Cuda運算遇到的狀況是記憶體不夠，我原本舊的顯卡只有1GB，看到目前有到8GB，心動不已。(5) 記憶體: 目前是16GB，最多支援64GB，這個之後會需要補滿。(6) 主機板 GA-B150M-D3H

Intel® RealSense™ 攝影機 SR300 下載此檔案︰intel_rs_dcm_sr300先裝上裝置，否則會離開安裝步驟@@C:\Program Files (x86)\Common Files\Intel\RSDCM_SR300
Intel® RealSense™ 攝影機 SR300 的系統需求︰Intel® RealSense™ SDK

C:\Program Files (x86)\OMRON\TouchFinder for PC\舊版畫面新版畫面

選擇Application WindowApplication Name: AdjContrastDemoLayout: Absolute layout新增兩組JSlider元件新增兩個static變數 alpha、beta完整原始碼

 1: package Basic;

 2:  

 3: import java.awt.EventQueue;

 4: import java.awt.image.BufferedImage;

 5:  

 6: import javax.swing.ImageIcon;

 7: import javax.swing.JFrame;

 8: import javax.swing.JOptionPane;

 9: import javax.swing.JSlider;

 10: import javax.swing.JLabel;

 11: import javax.swing.event.ChangeListener;

 12: import javax.swing.event.ChangeEvent;

 13:  

 14: import org.opencv.core.Core;

 15: import org.opencv.core.Mat;

 16: import org.opencv.imgcodecs.Imgcodecs;

 17: import org.opencv.imgproc.Imgproc;

 18:  

 19: public class AdjContrastDemo {

 20: static{System.loadLibrary(Core.NATIVE_LIBRARY_NAME);}

 21: private JFrame frmContrastAdjustment;

 22: static double alpha = 1;

 23: static double beta = 50;

 24: JSlider slider;

 25: JSlider slider_1;

 26: JLabel lblAlphaVal;

 27: JLabel lblBetaVal;

 28: JLabel lblImage;

 29: static Mat imgSrc;

 30: static Mat imgG = new Mat();

 31: static Mat imgDst = new Mat();

 32: /**

 33:  * Launch the application.

 34:  */

 35: public static void main(String[] args) {

 36: EventQueue.invokeLater(new Runnable() {

 37: public void run() {

 38: try {

 39: //imgSrc = Imgcodecs.imread("C:\\OpenCV\\images\\left01.jpg");

 40: imgSrc = Imgcodecs.imread("C:\\OpenCV\\images\\lena.jpg");

 41: if(imgSrc.empty())

 42: {

 43: JOptionPane.showMessageDialog(null, "無法讀取圖片","警告", 

 44: JOptionPane.WARNING_MESSAGE);

 45: }

 46: if(imgSrc.channels()==3)

 47: imgSrc.copyTo(imgG);

 48: //Imgproc.cvtColor(imgSrc, imgG, Imgproc.COLOR_BGR2GRAY);

 49: else

 50: imgSrc.copyTo(imgG);

 51: //imgDst = new Mat();

 52: AdjContrastDemo window = new AdjContrastDemo();

 53: window.frmContrastAdjustment.setVisible(true);

 54: } catch (Exception e) {

 55: e.printStackTrace();

 56: }

 57: }

 58: });

 59: }

 60:  

 61: /**

 62:  * Create the application.

 63:  */

 64: public AdjContrastDemo() {

 65: initialize();

 66: }

 67:  

 68: /**

 69:  * Initialize the contents of the frame.

 70:  */

 71: private void initialize() {

 72: frmContrastAdjustment = new JFrame();

 73: frmContrastAdjustment.setTitle("Contrast Adjustment");

 74: frmContrastAdjustment.setBounds(100, 100, 725, 692);

 75: frmContrastAdjustment.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

 76: frmContrastAdjustment.getContentPane().setLayout(null);

 77: 

 78: slider = new JSlider();

 79: slider.setValue((int)alpha);

 80: slider.addChangeListener(new ChangeListener() {

 81: public void stateChanged(ChangeEvent arg0) {

 82: lblAlphaVal.setText(slider.getValue()+"");

 83: alpha = slider.getValue();

 84: AdjustContrast();

 85: }

 86: });

 87: 

 88: slider.setBounds(125, 40, 370, 19);

 89: frmContrastAdjustment.getContentPane().add(slider);

 90: 

 91: slider_1 = new JSlider();

 92: slider_1.setValue((int)beta);

 93: slider_1.addChangeListener(new ChangeListener() {

 94: public void stateChanged(ChangeEvent arg0) {

 95: lblBetaVal.setText(slider_1.getValue()+"");

 96: beta = slider_1.getValue();

 97: AdjustContrast();

 98: }

 99: });

 100: slider_1.setBounds(125, 90, 370, 19);

 101: frmContrastAdjustment.getContentPane().add(slider_1);

 102: 

 103: JLabel lblAlpha = new JLabel();

 104: lblAlpha.setText("alpha");

 105: lblAlpha.setBounds(55, 29, 71, 36);

 106: frmContrastAdjustment.getContentPane().add(lblAlpha);

 107: 

 108: JLabel lblBeta = new JLabel();

 109: lblBeta.setText("beta");

 110: lblBeta.setBounds(55, 80, 71, 36);

 111: frmContrastAdjustment.getContentPane().add(lblBeta);

 112: 

 113: lblAlphaVal = new JLabel("0");

 114: lblAlphaVal.setBounds(499, 29, 55, 36);

 115: lblAlphaVal.setText(""+alpha);

 116: frmContrastAdjustment.getContentPane().add(lblAlphaVal);

 117: 

 118: lblBetaVal = new JLabel("0");

 119: lblBetaVal.setBounds(499, 80, 55, 36);

 120: lblBetaVal.setText(""+beta);

 121: frmContrastAdjustment.getContentPane().add(lblBetaVal);

 122: 

 123: lblImage = new JLabel("");

 124: lblImage.setBounds(31, 154, 587, 467);

 125: frmContrastAdjustment.getContentPane().add(lblImage);

 126: }

 127: public void AdjustContrast()

 128: {

 129: imgG.convertTo(imgDst, -1, alpha, beta);

 130: BufferedImage bufImg = matToBufferedImage(imgDst);

 131: lblImage.setIcon(new ImageIcon(bufImg));

 132: }

 133: public BufferedImage matToBufferedImage(Mat matrix){

 134: int cols = matrix.cols();

 135: int rows = matrix.rows();

 136: int elemSize = (int)matrix.elemSize();

 137: byte[] data = new byte[cols*rows*elemSize]; 

 138: if(matrix.channels()==3)

 139: Imgproc.cvtColor(matrix, matrix, Imgproc.COLOR_BGR2RGB);

 140: matrix.get(0, 0, data);

 141: BufferedImage bufImg = null;

 142: switch(matrix.channels())

 143: {

 144: case 1:

 145: bufImg = new BufferedImage(cols, rows, BufferedImage.TYPE_BYTE_GRAY);

 146: break;

 147: case 3:

 148: bufImg = new BufferedImage(cols,rows, BufferedImage.TYPE_3BYTE_BGR);

 149: break;

 150: } 

 151: bufImg.getRaster().setDataElements(0, 0, cols, rows, data);

 152: return bufImg; 

 153: }

 154: }

OpenCV Mat格式轉 Java BufferedImage格式

 1: public BufferedImage matToBufferedImage(Mat matrix){

 2: int cols = matrix.cols();

 3: int rows = matrix.rows();

 4: int elemSize = (int)matrix.elemSize();

 5: byte[] data = new byte[cols*rows*elemSize]; 

 6: matrix.get(0, 0, data);

 7: BufferedImage bufImg = null;

 8: switch(matrix.channels())

 9: {

 10: case 1:

 11: bufImg = new BufferedImage(cols, rows, BufferedImage.TYPE_BYTE_GRAY);

 12: break;

 13: case 3:

 14: bufImg = new BufferedImage(cols,rows, BufferedImage.TYPE_3BYTE_BGR);

 15: break;

 16: } 

 17: bufImg.getRaster().setDataElements(0, 0, cols, rows, data);

 18: return bufImg; 

 19: }

輸入library名稱點選OpenCV3.1，按下Add External JARs。事先解壓縮OpenCV3.1， 選擇build資料夾下java選擇opencv-310Native library location 滑鼠雙擊或 Edit 進入編輯我的Eclipse安裝x86，所以選x86。原本以為是電腦的作業系統為主，我的電腦是x64，但安裝x64版本到後面步驟就掛掉…設定好如下所示:來寫一個OpenCV範例選取User Library，按下Next勾選OpenCV3.1，按下Finish。

接續上一個project新增JSlider至frame加入slider拖拉事件Run( 或按下CTRL+F11)