修改结果框

HisenceYoloDetection.sln

@@ -17,8 +17,8 @@ Global
 	GlobalSection(ProjectConfigurationPlatforms) = postSolution
 		{0DE28139-2917-4B58-8240-4B4E11114730}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
 		{0DE28139-2917-4B58-8240-4B4E11114730}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{0DE28139-2917-4B58-8240-4B4E11114730}.Debug|X64.ActiveCfg = Debug|Any CPU
+		{0DE28139-2917-4B58-8240-4B4E11114730}.Debug|X64.ActiveCfg = Debug|X64
-		{0DE28139-2917-4B58-8240-4B4E11114730}.Debug|X64.Build.0 = Debug|Any CPU
+		{0DE28139-2917-4B58-8240-4B4E11114730}.Debug|X64.Build.0 = Debug|X64
 		{0DE28139-2917-4B58-8240-4B4E11114730}.Release|Any CPU.ActiveCfg = Release|Any CPU
 		{0DE28139-2917-4B58-8240-4B4E11114730}.Release|Any CPU.Build.0 = Release|Any CPU
 		{0DE28139-2917-4B58-8240-4B4E11114730}.Release|X64.ActiveCfg = Release|X64

HisenceYoloDetection/CheckDiffSciHelper.cs

@@ -72,7 +72,7 @@ namespace HisenceYoloDetection
         /// <param name="path2">要对比的图像</param>
         /// <param name="IfWhiteWord"> 白板黑字为true </param>
         /// <param name="saveDir">存储路径</param>
-        public static bool CheckDiffSci(string path1, Mat MatDet, Rect sqlrect, Rect detrect, bool IfWhiteWord, string saveDir)
+        public static bool CheckDiffSci(string path1, Mat MatDet, ref Mat ResultMat,Rect sqlrect, Rect detrect, bool IfWhiteWord, string saveDir)
         {
             // 读取和处理第一张图片。。
             Mat img1 = Cv2.ImRead(path1, ImreadModes.Color);
@@ -101,6 +101,7 @@ namespace HisenceYoloDetection
 
             // 读取和处理第二张图片
             Mat img2 = MatDet.Clone();
+            ResultMat= MatDet.Clone();
             if (img2.Empty())
             {
                 // Console.WriteLine($"Error loading image {path2}");
@@ -243,12 +244,14 @@ namespace HisenceYoloDetection
                 else
                 {
                     Rect boundingRect = Cv2.BoundingRect(contour);
+                     Cv2.Resize(img2, img2, new Size(550, 270));
                     Cv2.Rectangle(img2, boundingRect, Scalar.Red, thickness: 2);
                     isMatch = false;
                     string savePath2 = Path.Combine("D:\\Hisence\\Test\\2\\ng", Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
                     // 保存结果
                     //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
                     Cv2.ImWrite(savePath2, img2);
+                    ResultMat = img2.Clone();
                     string savePath = Path.Combine("D:\\Hisence\\Test\\2\\ng", Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
                     // 保存结果
                     //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");

HisenceYoloDetection/MainForm.Designer.cs

@@ -150,6 +150,8 @@
             StartDecBtn = new Button();
             CloseDecBtn = new Button();
             groupBox6 = new GroupBox();
+            textBox2 = new TextBox();
+            label37 = new Label();
             textBox3 = new TextBox();
             label25 = new Label();
             label24 = new Label();
@@ -192,8 +194,6 @@
             timer6 = new System.Windows.Forms.Timer(components);
             richTextBox1 = new RichTextBox();
             backgroundWorker1 = new System.ComponentModel.BackgroundWorker();
-            label37 = new Label();
-            textBox2 = new TextBox();
             tabPage2.SuspendLayout();
             panel1.SuspendLayout();
             groupBox5.SuspendLayout();
@@ -1556,6 +1556,26 @@
             groupBox6.TabStop = false;
             groupBox6.Text = "基础信息";
             // 
+            // textBox2
+            // 
+            textBox2.Location = new Point(128, 146);
+            textBox2.Margin = new Padding(4, 2, 4, 2);
+            textBox2.Name = "textBox2";
+            textBox2.ReadOnly = true;
+            textBox2.Size = new Size(115, 31);
+            textBox2.TabIndex = 23;
+            // 
+            // label37
+            // 
+            label37.AutoSize = true;
+            label37.Location = new Point(7, 146);
+            label37.Margin = new Padding(4, 0, 4, 0);
+            label37.Name = "label37";
+            label37.Size = new Size(96, 25);
+            label37.TabIndex = 22;
+            label37.Text = "旋钮颜色";
+            label37.Click += label37_Click;
+            // 
             // textBox3
             // 
             textBox3.Location = new Point(128, 95);
@@ -1607,10 +1627,10 @@
             // tabPage3
             // 
             tabPage3.Controls.Add(panel2);
-            tabPage3.Location = new Point(4, 33);
+            tabPage3.Location = new Point(4, 34);
             tabPage3.Margin = new Padding(4, 2, 4, 2);
             tabPage3.Name = "tabPage3";
-            tabPage3.Size = new Size(1276, 816);
+            tabPage3.Size = new Size(1276, 815);
             tabPage3.TabIndex = 4;
             tabPage3.Text = "录入新型号";
             tabPage3.UseVisualStyleBackColor = true;
@@ -1930,26 +1950,6 @@
             richTextBox1.TabIndex = 1;
             richTextBox1.Text = "";
             // 
-            // label37
-            // 
-            label37.AutoSize = true;
-            label37.Location = new Point(7, 146);
-            label37.Margin = new Padding(4, 0, 4, 0);
-            label37.Name = "label37";
-            label37.Size = new Size(96, 25);
-            label37.TabIndex = 22;
-            label37.Text = "旋钮颜色";
-            label37.Click += label37_Click;
-            // 
-            // textBox2
-            // 
-            textBox2.Location = new Point(128, 146);
-            textBox2.Margin = new Padding(4, 2, 4, 2);
-            textBox2.Name = "textBox2";
-            textBox2.ReadOnly = true;
-            textBox2.Size = new Size(115, 31);
-            textBox2.TabIndex = 23;
-            // 
             // MainForm
             // 
             AutoScaleDimensions = new SizeF(12F, 25F);

HisenceYoloDetection/MainForm.cs

@@ -453,13 +453,14 @@ namespace HisenceYoloDetection
         /// <param name="e"></param>
         private void MainForm_Load(object sender, EventArgs e)
         {
-            string path22 = "D:\\Hisence\\test2\\222.jpg";
+            //string path22 = "D:\\Hisence\\test2\\222.jpg";
-            Mat pathmat2 = Cv2.ImRead(path22);
+            //Mat pathmat2 = Cv2.ImRead(path22);
-            string path222 = "D:\\Hisence\\test2\\111.jpg";
+            //Mat pathmat2result = Cv2.ImRead(path22);
-            Rect rect1 = new Rect(0, 0, 0, 0);
+            //string path222 = "D:\\Hisence\\test2\\111.jpg";
+            //Rect rect1 = new Rect(0, 0, 0, 0);
 
 
-            CheckDiffSciHelper.CheckDiffSci(path222, pathmat2, rect1, rect1, true, "D://Hisence//test2");
+            //CheckDiffSciHelper.CheckDiffSci(path222, pathmat2,ref pathmat2result, rect1, rect1, true, "D://Hisence//test2");
 
 
             Stopwatch sw = new Stopwatch();
@@ -1643,149 +1644,156 @@ namespace HisenceYoloDetection
                                 }
                                
                                 
+
+
                             }
 
                         }
-                        string IOcrBAr = xKNow.OcrBar;
+                        bool MatchStr=false;
-                        //xKNow = GetModeFromBar(IOcrBAr);//从数据库中查询到这个条码的四轴的值
+                        if (xKNow != null)
-                        //这里改成和海信的对接需求
-                        IfCam1TwoTriger = false;
-
-
-                        List<XK_HisenceWord> xkWordList = ManagerModelHelper.GetModeWordFromBar(IOcrBAr);
-                        if (xkWordList.Count() == 1)
                         {
-                            xK_HisenceSQLWord = xkWordList[0];
+                            string IOcrBAr = xKNow.OcrBar;
+                            //xKNow = GetModeFromBar(IOcrBAr);//从数据库中查询到这个条码的四轴的值
+                            //这里改成和海信的对接需求
+                            IfCam1TwoTriger = false;
+
+
+                            List<XK_HisenceWord> xkWordList = ManagerModelHelper.GetModeWordFromBar(IOcrBAr);
+                            if (xkWordList.Count() == 1)
+                            {
+                                xK_HisenceSQLWord = xkWordList[0];
+                            }
+
+                            if (xKNow.Detect != "")
+                            {
+
+                                myLog("型号匹配成功" + IOcrBAr, DateTime.Now);
+
+                            }
+
+
+                            //从数据库中匹配完才可以进行模组移动
+                            //如果这次型号和上次的型号一样 就不用换识别模型ll
+
+
+
+                            //}
+                            //相机1第二次拍照
+                            //  if (IfCam1TwoTriger && bBarTriger)
+                            //{
+
+                            //初始化板
+                            Defet_OnDetectionDone(whiteMat, 1);
+                            Defet_OnDetectionDone(whiteMat, 2);
+                            Defet_OnDetectionDone(whiteMat, 3);
+                            //Defet_OnDetectionDone(whiteMat, 4);
+                            //Defet_OnDetectionDone(whiteMat, 5);
+                            //Defet_OnDetectionDone(whiteMat, 6);
+                            //Defet_OnDetectionDone(whiteMat, 7);
+
+                            XK_HisenceWord xK_MatchDet = new XK_HisenceWord();
+                            xK_MatchDet.TwoIFWhile = xK_HisenceSQLWord.TwoIFWhile;
+                            AllDsums++;
+                            //进行推理
+                            MLRequest req = new MLRequest();
+                            req.currentMat = Cam1ImgOne;
+                            req.ResizeWidth = 640;
+                            req.ResizeHeight = 640;
+                            req.Score = 0.3f;
+                            req.in_lable_path = LablePath;//标签路径
+                            req.confThreshold = 0.3f;//模型置信度
+                            req.iouThreshold = 0.4f;//检测IOU
+                            req.out_node_name = "output";
+                            MLResult mL = simboObjectDetection.RunInferenceFixed(req);
+                            MLResult mLButton = simboObjectDetButton.RunInferenceFixed(req);
+
+                            DateTime dt = DateTime.Now;
+                            //将所有的块裁剪 识别字符对比字符串
+                            List<string> strMatListOne = new List<string>();
+                            List<string> strMatFuzzyListOne = new List<string>();
+                            Mat mResultCut = req.currentMat.Clone();
+
+                            if (mL.ResultMap != null)
+                            {
+                                mL.ResultMap.Save("D://cam1//" + dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString() + "1result.jpg");
+                                ResultMatShow.Image = mL.ResultMap;
+
+                            }
+
+
+                            List<string> strMatListTwo = new List<string>();
+                            List<string> strMatFuzzyListTwo = new List<string>();
+                            // Mat mResultCut2 = req2.currentMat.Clone();
+                            Dictionary<string, bool> keyValueResult = new Dictionary<string, bool>();
+                            Dictionary<string, bool> keyValueResult2 = new Dictionary<string, bool>();
+                            #region 先执行定位比对
+                            //执行定位数组块
+                            string[] listLabels = xKNow.Detect.Split(",");
+
+                            MLResult MLsum = mL;
+                            //for (int i = 0; i < mL2.ResultDetails.Count; i++)
+                            //{
+                            //    MLsum.ResultDetails.Add((DetectionResultDetail)mL2.ResultDetails[i]);
+                            //}
+
+                            string[] RealCFLabels = new string[MLsum.ResultDetails.Count];
+
+                            for (int i = 0; i < MLsum.ResultDetails.Count; i++)
+                            {
+                                RealCFLabels[i] = MLsum.ResultDetails[i].LabelName;
+
+
+                            }
+
+                            RealCFLabels = RealCFLabels.Distinct().ToArray();//去重
+                            string detstr = string.Join(",", RealCFLabels); //输出为abc-def-ghi   如果不加-,也可以省
+                                                                            //排序比对块
+
+                             MatchStr = listLabels.SequenceEqual(RealCFLabels);
+                            if (MatchStr == false)
+
+                            {
+                                WAIsums++;
+                            }
+                            #endregion
+                            //块比对完了 进行详细比对
+                            if (MatchStr)
+                            {
+                                //Mat mCut = new Mat();
+                                Stopwatch sw = new Stopwatch();
+                                sw.Start();
+
+                                InsertSqlRunDataButton(ref keyValueResult, false, ref mResultCut, mL, mLButton, ref xK_HisenceSQLWord, ref xK_MatchDet, ref strMatListOne, ref strMatFuzzyListOne, ref paddleOcrModel);
+
+
+                                // InsertSqlRunData(ref keyValueResult2, false, ref mResultCut2, mL2, ref xK_HisenceSQLWord, ref xK_MatchDet, ref strMatListTwo, ref strMatFuzzyListTwo, ref paddleOcrModel);
+                                sw.Stop();
+                                //myLog("插入面板时间" + sw.ElapsedMilliseconds, DateTime.Now);
+
+                            }
+
+
+
+
+                            if (MatchStr)
+                            {
+                                //判断块值是否有含有匹配false
+                                bool containsFalseValue = keyValueResult.ContainsValue(false);
+
+                                if (containsFalseValue)
+                                    MatchStr = false;
+
+
+                            }
                         }
-
+                        else
-                        if (xKNow.Detect != "")
                         {
-
+                            MatchStr = true;
-                            myLog("型号匹配成功" + IOcrBAr, DateTime.Now);
-
-                        }
-
-
-                        //从数据库中匹配完才可以进行模组移动
-                        //如果这次型号和上次的型号一样 就不用换识别模型ll
-
-
-
-                        //}
-                        //相机1第二次拍照
-                        //  if (IfCam1TwoTriger && bBarTriger)
-                        //{
-
-                        //初始化板
-                        Defet_OnDetectionDone(whiteMat, 1);
-                        Defet_OnDetectionDone(whiteMat, 2);
-                        Defet_OnDetectionDone(whiteMat, 3);
-                        //Defet_OnDetectionDone(whiteMat, 4);
-                        //Defet_OnDetectionDone(whiteMat, 5);
-                        //Defet_OnDetectionDone(whiteMat, 6);
-                        //Defet_OnDetectionDone(whiteMat, 7);
-
-                        XK_HisenceWord xK_MatchDet = new XK_HisenceWord();
-                        xK_MatchDet.TwoIFWhile = xK_HisenceSQLWord.TwoIFWhile;
-                        AllDsums++;
-                        //进行推理
-                        MLRequest req = new MLRequest();
-                        req.currentMat = Cam1ImgOne;
-                        req.ResizeWidth = 640;
-                        req.ResizeHeight = 640;
-                        req.Score = 0.3f;
-                        req.in_lable_path = LablePath;//标签路径
-                        req.confThreshold = 0.3f;//模型置信度
-                        req.iouThreshold = 0.4f;//检测IOU
-                        req.out_node_name = "output";
-                        MLResult mL = simboObjectDetection.RunInferenceFixed(req);
-                        MLResult mLButton = simboObjectDetButton.RunInferenceFixed(req);
-
-                        DateTime dt = DateTime.Now;
-                        //将所有的块裁剪 识别字符对比字符串
-                        List<string> strMatListOne = new List<string>();
-                        List<string> strMatFuzzyListOne = new List<string>();
-                        Mat mResultCut = req.currentMat.Clone();
-
-                        if (mL.ResultMap != null)
-                        {
-                            mL.ResultMap.Save("D://cam1//" + dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString() + "1result.jpg");
-                            ResultMatShow.Image = mL.ResultMap;
-
-                        }
-
-
-                        List<string> strMatListTwo = new List<string>();
-                        List<string> strMatFuzzyListTwo = new List<string>();
-                        // Mat mResultCut2 = req2.currentMat.Clone();
-                        Dictionary<string, bool> keyValueResult = new Dictionary<string, bool>();
-                        Dictionary<string, bool> keyValueResult2 = new Dictionary<string, bool>();
-                        #region 先执行定位比对
-                        //执行定位数组块
-                        string[] listLabels = xKNow.Detect.Split(",");
-
-                        MLResult MLsum = mL;
-                        //for (int i = 0; i < mL2.ResultDetails.Count; i++)
-                        //{
-                        //    MLsum.ResultDetails.Add((DetectionResultDetail)mL2.ResultDetails[i]);
-                        //}
-
-                        string[] RealCFLabels = new string[MLsum.ResultDetails.Count];
-
-                        for (int i = 0; i < MLsum.ResultDetails.Count; i++)
-                        {
-                            RealCFLabels[i] = MLsum.ResultDetails[i].LabelName;
-
-
-                        }
-
-                        RealCFLabels = RealCFLabels.Distinct().ToArray();//去重
-                        string detstr = string.Join(",", RealCFLabels); //输出为abc-def-ghi   如果不加-,也可以省
-                        //排序比对块
-
-                        bool MatchStr = listLabels.SequenceEqual(RealCFLabels);
-                        if (MatchStr == false)
-
-                        {
-                            WAIsums++;
-                        }
-                        #endregion
-                        //块比对完了 进行详细比对
-                        if (MatchStr)
-                        {
-                            //Mat mCut = new Mat();
-                            Stopwatch sw = new Stopwatch();
-                            sw.Start();
-
-                            InsertSqlRunDataButton(ref keyValueResult, false, ref mResultCut, mL, mLButton, ref xK_HisenceSQLWord, ref xK_MatchDet, ref strMatListOne, ref strMatFuzzyListOne, ref paddleOcrModel);
-
-
-                            // InsertSqlRunData(ref keyValueResult2, false, ref mResultCut2, mL2, ref xK_HisenceSQLWord, ref xK_MatchDet, ref strMatListTwo, ref strMatFuzzyListTwo, ref paddleOcrModel);
-                            sw.Stop();
-                            //myLog("插入面板时间" + sw.ElapsedMilliseconds, DateTime.Now);
-
-                        }
-
-
-
-
-                        if (MatchStr)
-                        {
-                            //判断块值是否有含有匹配false
-                            bool containsFalseValue = keyValueResult.ContainsValue(false);
-
-                            if (containsFalseValue)
-                                MatchStr = false;
-
-
                         }
                         ///执行比对 小图 
                         //bool MatchStr = ManagerModelHelper.IsMatchSQLText(ref mCut, ref xK_HisenceSQLWord, ref xK_MatchDet);
 
 
-                        // int sqlblocksum=
-
-
                         melsecPLCTCPDriver.WriteInt("550", 0);//方行
                         if (MatchStr)
                         {
@@ -2596,7 +2604,8 @@ namespace HisenceYoloDetection
 
 
 
-
+            //if (xkWord.OneblockText.)
+            //{ }
             InsertXKHisenceWordData(xkWord);//往关键字表中插入一条数据
 
             string OcrTextone = strMatListOne.Join("##");
@@ -2604,6 +2613,10 @@ namespace HisenceYoloDetection
 
 
             string detstr = "";
+            if (keyValueResult.Count<=1)
+            {
+                return;
+            }
 
             for (int v = 0; v < keyValueResult.Count; v++)
             {
@@ -3422,16 +3435,17 @@ namespace HisenceYoloDetection
                                 textBox2.Text = color;
 
                             }));
-                            juanjiMatch = CheckDiffSciHelper.CheckDiffSci(PathSql, CutBlockMat, rectsql, rectDet, iswhite, "D://Hisence//Test");
+                            Mat matresult = CutBlockMat.Clone();
+                            juanjiMatch = CheckDiffSciHelper.CheckDiffSci(PathSql, CutBlockMat,ref matresult, rectsql, rectDet, iswhite, "D://Hisence//Test");
                             // juanjiMatch = true;
 
                             if (!OneIF1 || !juanjiMatch)
                             {
                                 OneIF = false;
-                                DisplayResult(mLcut);
+                                //DisplayResult(mLcut);
                                 //显示错误的板
                                 // mLcut.ResultMap;
-                                Defet_OnDetectionDone(mLcut.ResultMap.ToMat(), 2);
+                                Defet_OnDetectionDone(matresult, 2);
                             }
                             else
                             {

HisenceYoloDetection/ManagerModelHelper.cs

@@ -104,83 +104,7 @@ namespace HisenceYoloDetection
             return cslist;
 
         }
-        public static bool IsMatchSQLText(ref Mat detMat, ref XK_HisenceWord XKSQL, ref XK_HisenceWord XKDet)
-        {
        
-            try
-            {
-                string TwoRectstr = XKSQL.TwoRect;
-                string oneBlockWordSql = XKSQL.OneblockMainWord;
-                string twoBlockWordSql = XKSQL.TwoblockMainWord;
-                string threeBlockWordSql = XKSQL.ThreeblockMainWord;
-                string fourBlockWordSql = XKSQL.FourblockMainWord;
-                string fiveBlockWordSql = XKSQL.FiveblockMainWord;
-                string sixBlockWordSql = XKSQL.SixblockMainWord;
-                string sevenBlockWordSql = XKSQL.SevenblockMainWord;
-                string eightBlockWordSql = XKSQL.EightblockMainWord;
-
-                string oneBlockWordDet = XKDet.OneblockMainWord;
-                string twoBlockWordDet = XKDet.TwoblockMainWord;
-                string threeBlockWordDet = XKDet.ThreeblockMainWord;
-                string fourBlockWordDet = XKDet.FourblockMainWord;
-                string fiveBlockWordDet = XKDet.FiveblockMainWord;
-                string sixBlockWordDet = XKDet.SixblockMainWord;
-                string sevenBlockWordDet = XKDet.SevenblockMainWord;
-                string eightBlockWordDet = XKDet.EightblockMainWord;
-
-
-
-                bool OneIF = isMatchStr(oneBlockWordSql, oneBlockWordDet);
-                bool TwoIF = isMatchStr(twoBlockWordSql, twoBlockWordDet);
-                bool ThreeIF = isMatchStr(threeBlockWordSql, threeBlockWordDet);
-                bool FourIF = isMatchStr(fourBlockWordSql, fourBlockWordDet);
-                bool FiveIF = isMatchStr(fiveBlockWordSql, fiveBlockWordDet);
-                bool SixIF = isMatchStr(sixBlockWordSql, sixBlockWordDet);
-                bool SenvenIF = isMatchStr(sevenBlockWordSql, sevenBlockWordDet);
-                bool EightIF = isMatchStr(eightBlockWordSql, eightBlockWordDet);
-                //第二快 卷积匹配
-                string PathSql = XKSQL.TwoblockPath;
-                //
-
-                Rect rectsql = CheckDiffSciHelper.strChangeRect(TwoRectstr);
-                Rect rectDet = CheckDiffSciHelper.strChangeRect(XKDet.TwoRect);
-                bool twoif2 = CheckDiffSciHelper.CheckDiffSci(PathSql, detMat, rectsql, rectDet, (bool)XKSQL.TwoIFWhile, "D://Test");
-                DateTime dt = DateTime.Now;
-                using (StreamWriter sw = new StreamWriter("D://Hisence//logsMatch.log", true))
-                {
-                    string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
-                    sw.WriteLine(filename + "\n");
-                    sw.WriteLine(oneBlockWordSql + "  " + oneBlockWordDet + "\n");
-                    sw.WriteLine(twoBlockWordSql + "  " + twoBlockWordDet + "\n");
-                    sw.WriteLine(threeBlockWordSql + "  " + threeBlockWordDet + "\n");
-                    sw.WriteLine(fourBlockWordSql + "  " + fourBlockWordDet + "\n");
-                    sw.WriteLine(fiveBlockWordSql + "  " + fiveBlockWordDet + "\n");
-                    sw.WriteLine(sixBlockWordSql + "  " + sixBlockWordDet + "\n");
-                    sw.WriteLine(sevenBlockWordSql + "  " + sevenBlockWordDet + "\n");
-                    sw.WriteLine(eightBlockWordSql + "  " + eightBlockWordDet + "\n");
-                    sw.WriteLine(" 卷积匹配 " + twoif2 + "\n");
-                    sw.Flush();
-                }
-                //第三块区域一直都是false
-                if (OneIF && TwoIF && ThreeIF && FourIF && FiveIF && SixIF && SenvenIF && EightIF && twoif2)
-                {
-                    return true;
-                }
-                else
-                {
-                    return false;
-                }
-
-
-
-
-            }
-            catch (Exception ex)
-            {
-                return false;
-            }
-
-        }
         public static bool StrMatch(string SqlText,string DetText)
         {
             // 计算Levenshtein距离