图片闪烁，关闭阻塞问题未解决
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YZJ
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@ -6,6 +6,7 @@ using System.Linq;
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using System.Security.Cryptography;
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using System.Text;
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using System.Threading.Tasks;
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using static System.Net.Mime.MediaTypeNames;
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using Point = OpenCvSharp.Point;
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using Size = OpenCvSharp.Size;
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@ -98,14 +99,14 @@ namespace HisenceYoloDetection
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DateTime dt = DateTime.Now;
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string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
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string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
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// 保存结果
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//string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
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//// 保存结果
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Cv2.ImWrite(savePath4, thr1);
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string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
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// 保存结果
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//Cv2.ImWrite(savePath4, thr1);
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//string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
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//// 保存结果
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Cv2.ImWrite(savePath3, thr2);
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//Cv2.ImWrite(savePath3, thr2);
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// 创建卷积核
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Mat filter1 = new Mat(15, 15, MatType.CV_32F, new Scalar(0));
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@ -145,14 +146,14 @@ namespace HisenceYoloDetection
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Mat devIMG_ = new Mat();
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Cv2.Subtract(final_result1, final_result2, devIMG);
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Cv2.Subtract(final_result2, final_result1, devIMG_);
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string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
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// 保存结果
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//string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
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//// 保存结果
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Cv2.ImWrite(savePathd, devIMG);
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string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
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// 保存结果
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//Cv2.ImWrite(savePathd, devIMG);
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//string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
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//// 保存结果
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Cv2.ImWrite(savePathd1, devIMG_);
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//Cv2.ImWrite(savePathd1, devIMG_);
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// 对差异图像应用阈值
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Cv2.Threshold(devIMG, devIMG, 20, 255, ThresholdTypes.Binary);
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Cv2.Threshold(devIMG_, devIMG_, 20, 255, ThresholdTypes.Binary);
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@ -176,24 +177,32 @@ namespace HisenceYoloDetection
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{
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Cv2.DrawContours(blackhatImg, new Point[][] { contour }, -1, Scalar.Black, thickness: Cv2.FILLED);
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// 框选轮廓
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string savePath2 = Path.Combine("D:\\Hisence\\Test\\2\\ng", Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
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// 保存结果
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//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
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Cv2.ImWrite(savePath2, img2);
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string savePath = Path.Combine("D:\\Hisence\\Test\\2\\ng", Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
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// 保存结果
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//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
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Cv2.ImWrite(savePath, blackhatImg);
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}
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else
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{
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Rect boundingRect = Cv2.BoundingRect(contour);
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Cv2.Rectangle(img2, boundingRect, Scalar.Red, thickness: 2);
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isMatch = false;
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string savePath2 = Path.Combine("D:\\Hisence\\Test\\2\\ok", Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
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// 保存结果
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//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
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Cv2.ImWrite(savePath2, img2);
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string savePath = Path.Combine("D:\\Hisence\\Test\\2\\ok", Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
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// 保存结果
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//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
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Cv2.ImWrite(savePath, blackhatImg);
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}
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}
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string savePath2 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
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// 保存结果
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//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
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Cv2.ImWrite(savePath2, img2);
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string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
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// 保存结果
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//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
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Cv2.ImWrite(savePath, blackhatImg);
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return isMatch;
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}
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@ -315,14 +324,14 @@ namespace HisenceYoloDetection
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DateTime dt = DateTime.Now;
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string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
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string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
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// 保存结果
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//string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
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//// 保存结果
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Cv2.ImWrite(savePath4, thr1);
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string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
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// 保存结果
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//Cv2.ImWrite(savePath4, thr1);
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//string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
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//// 保存结果
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Cv2.ImWrite(savePath3, thr2);
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//Cv2.ImWrite(savePath3, thr2);
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// 创建卷积核
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@ -368,14 +377,14 @@ namespace HisenceYoloDetection
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Mat devIMG_ = new Mat();
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Cv2.Subtract(final_result1, final_result2, devIMG);
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Cv2.Subtract(final_result2, final_result1, devIMG_);
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string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
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// 保存结果
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//string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
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//// 保存结果
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Cv2.ImWrite(savePathd, devIMG);
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string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
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// 保存结果
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//Cv2.ImWrite(savePathd, devIMG);
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//string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
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//// 保存结果
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Cv2.ImWrite(savePathd1, devIMG_);
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//Cv2.ImWrite(savePathd1, devIMG_);
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// 对差异图像应用阈值
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Cv2.Threshold(devIMG, devIMG, 45, 255, ThresholdTypes.Binary);
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Cv2.Threshold(devIMG_, devIMG_, 45, 255, ThresholdTypes.Binary);
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@ -383,10 +392,10 @@ namespace HisenceYoloDetection
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// 结合差异
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Mat sumIMG = new Mat();
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Cv2.Add(devIMG, devIMG_, sumIMG);
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string savePaths = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "sumIMG.png");
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// 保存结果
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//string savePaths = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "sumIMG.png");
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//// 保存结果
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Cv2.ImWrite(savePaths, sumIMG);
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//Cv2.ImWrite(savePaths, sumIMG);
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// 应用形态学操作
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Mat kernelCL = Cv2.GetStructuringElement(MorphShapes.Rect, new Size(3, 3));
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Mat blackhatImg = new Mat();
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@ -277,6 +277,7 @@ namespace HisenceYoloDetection
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}
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public void Execute(object source, System.Timers.ElapsedEventArgs e)
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{
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t.Stop(); //先关闭定时器
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//melsecPLCTCPDriver.WriteInt("548", 1);
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//Thread.Sleep(1000);
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@ -524,6 +525,7 @@ namespace HisenceYoloDetection
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// tbFrameRate.Enabled = false;
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bnGetParam.Enabled = false;
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bnSetParam.Enabled = false;
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}
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private void button3_Click(object sender, EventArgs e)
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{
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@ -1449,6 +1451,12 @@ namespace HisenceYoloDetection
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ResultMatShow.Image = mL.ResultMap;
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}
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else
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{
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Mat res_yolo = Cv2.ImRead("ng.jpg");
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ResultMatShow.Image = res_yolo.ToBitmap();
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}//无法框定导致图片闪烁，加else无法解决
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//进行推理
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MLRequest req2 = new MLRequest();
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req2.currentMat = Cam1ImgTwo;
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@ -2811,6 +2819,7 @@ namespace HisenceYoloDetection
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string blockIndex = cam1TwoML.ResultDetails[i].LabelDisplay;
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Rect area = new Rect(rectsx, rectsy, rectsWidth, rectsHeight);
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Mat matCut = new Mat(mResultCuti, area);
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Stopwatch sw = new Stopwatch();
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sw.Start();
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//OCR识别裁剪图片
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@ -2892,6 +2901,7 @@ namespace HisenceYoloDetection
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string TextWoidStr = OcrFuzzyTextInsert.Join("##"); //实际的检测字
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string SQLStr = "";//日志显示数据库的关键字
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bool juanjiMatch = false;
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string filenameone = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
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switch (blockIndex)
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{
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case "1"://完全匹配 重量信息
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@ -2913,11 +2923,17 @@ namespace HisenceYoloDetection
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//显示错误的板
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DisplayResult(mLcut);
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Defet_OnDetectionDone(mLcut.ResultMap.ToMat(), 1);
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string Path_1 = Path.Combine("D:\\Hisence\\Test\\1\\ng", filenameone + "_res.png");
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Cv2.ImWrite(Path_1, mLcut.ResultMap.ToMat());
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}
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else
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{
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OneIF = true;
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Defet_OnDetectionDone(OKMat, 1);
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string Path_2 = Path.Combine("D:\\Hisence\\Test\\1\\ok", filenameone + "_res.png");
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Cv2.ImWrite(Path_2, OKMat);
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}
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}
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@ -142,7 +142,7 @@
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<value>733, 17</value>
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</metadata>
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<metadata name="$this.TrayHeight" type="System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089">
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<value>34</value>
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<value>25</value>
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</metadata>
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<assembly alias="System.Drawing" name="System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a" />
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<data name="$this.Icon" type="System.Drawing.Icon, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">
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