数据库连接

src/test/java/com/yuxue/test/PlateRecoTest.java

@@ -1,5 +1,9 @@
 package com.yuxue.test;
-
+import java.sql.DriverManager;
+import java.sql.Connection;
+import java.sql.ResultSet;  
+import java.sql.Statement;  
+import java.sql.SQLException;
 import org.bytedeco.javacpp.opencv_imgproc;
 
 import java.io.File;
@@ -36,7 +40,7 @@ public class PlateRecoTest {
      */
     @Test
     public void testPlateRecognise() {
-        String imgPath = "res/image/test_image/plate_recognize.jpg";
+        String imgPath = "res/image/test_image/E.D3098.jpg";
 
         Mat src = opencv_imgcodecs.imread(imgPath);
 
@@ -53,176 +57,71 @@ public class PlateRecoTest {
 
                 String palte = cr.charsRecognise(img, "tem/"); // 字符识别
                 PlateColor color = CoreFunc.getPlateType(img, true);
+                String col=color.desc;
 
                 System.err.println("识别到的车牌: " + palte + "_" + color.desc);
-                // 识别的车牌，保存图片文件 //需要先创建文件夹
+                String connectionUrl = "jdbc:sqlserver://localhost:1433;"  
-                String str = "d:/PlateDetect/" + palte + "_"+ color + "_" + System.currentTimeMillis() +".png";
+                        + "databaseName=AdventureWorks;integratedSecurity=true;";  
-                String str1 = "d:/PlateDetect/" + i + ".png";
+                  String url = "jdbc:sqlserver://127.0.0.1:1433;databaseName=chepai;user=sa;password=197905";//以sa身份连接数据库:请根据自己的用户名和密码进行重新设置！！！！！！
-
+          
-                // 此方法生成的文件，中文名称都是乱码，试了各种编解码均无效，OpenCV自身的编解码问题。
+                // 声明JDBC对象  
-                opencv_imgcodecs.imwrite(str1, img);
+                Connection con = null;  
-
+                Statement stmt = null;  
-                // 重命名文件，让生成的文件包含中文
+                ResultSet rs = null;  
-                File targetFile = new File(str);
+          
-                File file = new File(str1);
+                try {  
-                file.renameTo(targetFile);
+                    // 建立数据库连接.  
+                    System.out.println("尝试建立数据库连接.");  
+                    Class.forName("com.microsoft.sqlserver.jdbc.SQLServerDriver");  
+                    con = DriverManager.getConnection(url);  
+                    System.out.println("数据库连接成功!");  
+                    String SQL = "INSERT INTO plate(chepaihao,color) VALUES('"+palte+"','"+col+"' )"; 
+                    stmt = con.createStatement();  
+                    stmt.executeUpdate(SQL); 
                 }
-        }
-    }
-
          
-    /**
-     * 车牌检测 = 车牌定位 + 车牌判断
-     * 针对定位操作返回的Mat集合，进行判断
-     * 识别出集合里面哪些块是车牌
-     */
-    @Test
-    public void testPlateDetect() {
-        String imgPath = "res/image/test_image/test.jpg";
                     
-        Mat src = opencv_imgcodecs.imread(imgPath);
-        PlateDetect plateDetect = new PlateDetect();
-        plateDetect.setPDLifemode(true);
-        Vector<Mat> matVector = new Vector<Mat>();
-        if (0 == plateDetect.plateDetect(src, matVector)) {
-            for (int i = 0; i < matVector.size(); ++i) {
-                Mat img = matVector.get(i);
-                // 弹窗显示
-                opencv_highgui.imshow("Plate Detected", img);
                     
-                String str = "d:/test/" + i + ".png";
+                //处理和打印程序异常  
-                opencv_imgcodecs.imwrite(str, img);
+                catch (Exception e) {  
-            }
+                    e.printStackTrace();  
                 }  
-    }
-
-
-    /**
-     * 车牌定位
-     * 处理原始图像，将可能为车牌的块识别出来
-     * 返回结果里面，可能包含很多块，部分是车牌，部分不是车牌
-     */
-    @Test
-    public void testPlateLocate() {
-        String imgPath = "res/image/test_image/test.jpg";
           
-        Mat src = opencv_imgcodecs.imread(imgPath);
+                finally {  
-
+                    if (rs != null)  
-        PlateLocate plate = new PlateLocate();
+                        try {  
-        plate.setDebug(true);
+                            rs.close(); //关闭查询结果集句柄 
-        plate.setLifemode(true);
+                        } catch (Exception e) {  
-
-        Vector<Mat> resultVec = plate.plateLocate(src);
-
-        int num = resultVec.size();
-        for (int j = 0; j < num; j++) {
-            Mat img = resultVec.get(j);
-            // showImage("Plate Located " + j, resultVec.get(j));
-
-            String str = "d:/test/" + j + ".png";
-            opencv_imgcodecs.imwrite(str, img);
                         }  
-        return;
+                    if (stmt != null)  
+                        try {  
+                            stmt.close();  //关闭语句句柄
+                        } catch (Exception e) {  
                         }  
-
+                    if (con != null)  
-
+                        try {  
-    /**
+                            con.close();   //关闭数据库连接
-     * 文字识别
+                        } catch (Exception e) {  
-     */
-    @Test
-    public void testCharsRecognise() {
-        String imgPath = "res/image/test_image/chars_recognise_huAGH092.jpg";
-
-        Mat src = opencv_imgcodecs.imread(imgPath);
-        CharsRecognise cr = new CharsRecognise();
-        cr.setCRDebug(true);
-        String result = cr.charsRecognise(src, "tem/");
-        System.out.println("Chars Recognised: " + result);
                         }  
-
-
-    /**
-     * 车牌颜色检测
-     */
-    @Test
-    public void testColorDetect() {
-        String imgPath = "res/image/test_image/core_func_yellow.jpg";
-        Mat src = opencv_imgcodecs.imread(imgPath);
-        PlateColor color = CoreFunc.getPlateType(src, true);
-        System.out.println("Color Deteted: " + color);
                 }  
+                // 识别的车牌，保存图片文件 //需要先创建文件夹
+                String str = "d:/PlateDetect/" + palte + "_"+ color + "_" + System.currentTimeMillis() +".png";
+                String str1 = "d:/PlateDetect/" + i + ".png";
 
+                // 此方法生成的文件，中文名称都是乱码，试了各种编解码均无效，OpenCV自身的编解码问题。
+                opencv_imgcodecs.imwrite(str1, img);
 
-    /**
+                // 重命名文件，让生成的文件包含中文
-     * 投影直方图
+                File targetFile = new File(str);
-     */
+                File file = new File(str1);
-    @Test
+                file.renameTo(targetFile);
-    public void testProjectedHistogram() {
-        String imgPath = "res/image/test_image/chars_identify_E.jpg";
-        Mat src = opencv_imgcodecs.imread(imgPath);
-        CoreFunc.projectedHistogram(src, Direction.HORIZONTAL);
             }
-
-
-    /**
-     * 字符识别
-     */
-    @Test
-    public void testCharsIdentify() {
-        String imgPath = "res/image/test_image/chars_identify_E.jpg";
-
-        Mat src = opencv_imgcodecs.imread(imgPath);
-        CharsIdentify charsIdentify = new CharsIdentify();
-        String result = charsIdentify.charsIdentify(src, false, true);
-        System.out.println(result);
         }
         
-
-
-
-    /**
-     * 测试检测绿牌颜色
-     */
-    @Test
-    public void testGreenColorReco() {
-        String imgPath = "res/image/test_image/debug_resize_2.jpg";
-        Mat src = opencv_imgcodecs.imread(imgPath);
-
-        // 判断绿色车牌
-        Mat src_hsv = new Mat();
-        opencv_imgproc.cvtColor(src, src_hsv, opencv_imgproc.CV_BGR2HSV);
-        src_hsv = CoreFunc.colorMatch(src, PlateColor.GREEN, true);
-        System.err.println(CoreFunc.plateColorJudge(src, PlateColor.GREEN, true));
-        String str = "d:/PlateDetect/src_hsv.png";
-        opencv_imgcodecs.imwrite(str, src_hsv);
     }  
 
-    @Test
-    public void testGreenPlate() {
-        String imgPath = "res/image/test_image/debug_resize_2.jpg";
-        Mat src = opencv_imgcodecs.imread(imgPath);
-
-        // 车牌检测对象
-        PlateDetect plateDetect = new PlateDetect();
-        plateDetect.setPDLifemode(true);
-        plateDetect.setDebug(false, ""); // 将过程的图块保存到盘符
-
-        Vector<Mat> matVector = new Vector<Mat>();
-
-        System.err.println(plateDetect.plateDetect(src, matVector));
-        System.err.println(matVector.size());
-
-        for (int i = 0; i < matVector.size(); ++i) { // 遍历车牌图块Mat，进行识别
-            Mat img = matVector.get(i);
-
-            String str = "d:/PlateDetect/temp/result_.png";
-            opencv_imgcodecs.imwrite(str, img);
-
-        }
-
-    }
 
+}
     
 
 
-}