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merge into: vcrmn:master
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vcrmn:feature_DUMAQI
vcrmn:dev_Chen
vcrmn:dev_featureAuto
vcrmn:dev_xiao
vcrmn:Dev
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pull from: vcrmn:dev_Chen
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vcrmn:feature_DUMAQI
vcrmn:dev_Chen
vcrmn:dev_featureAuto
vcrmn:dev_xiao
vcrmn:Dev
vcrmn:master

10 Commits
master ... dev_Chen

Author SHA1 Message Date
YZJ
326c3c3f5d Merge branch 'dev_Chen' of https://gitee.com/xhmxhm/hisence-yolo-detection into dev_Chen 2024-07-09 16:08:44 +08:00
YZJ
b970db3b6b 更改相机拍摄坐标 2024-07-09 15:38:20 +08:00
YZJ
a018a8f54d 图片闪烁，关闭阻塞问题未解决 2024-07-01 11:39:19 +08:00
YZJ
33b32a6c92 图片闪烁与关闭阻塞未解决 2024-07-01 11:33:35 +08:00
YZJ
a6d2f87095 测试一二块基本没问题版本 2024-06-28 17:50:44 +08:00
820689062
d3a08b35f7 修改字符相似度匹配 2024-06-27 18:16:27 +08:00
820689062
733500850e 更改了卷积匹配（可以试一试，不一定好用） 2024-06-27 18:09:39 +08:00
xhm\HP
2db802c899 修改界面 和遮挡第一块显示NG 2024-06-27 16:25:52 +08:00
xhm\HP
d82f308fed 更改字符比对 2024-06-27 14:40:37 +08:00
YZJ
e2dc220aaf 修改冲突 2024-06-27 13:48:39 +08:00
5 changed files with 606 additions and 342 deletions
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372
HisenceYoloDetection/CheckDiffSciHelper.cs
View File

@ -1,10 +1,12 @@
using OpenCvSharp;
using Sunny.UI.Win32;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Security.Cryptography;
using System.Text;
using System.Threading.Tasks;
using static System.Net.Mime.MediaTypeNames;
using Point = OpenCvSharp.Point;
using Size = OpenCvSharp.Size;
@ -12,9 +14,8 @@ using Size = OpenCvSharp.Size;
namespace HisenceYoloDetection
{
public static class CheckDiffSciHelper
public static class CheckDiffSciHelper
{
/// <summary>
///
/// </summary>
@ -22,23 +23,23 @@ 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, Rect sqlrect, Rect detrect, bool IfWhiteWord, string saveDir)
{
// 读取和处理第一张图片
// 读取和处理第一张图片。。
Mat img1 = Cv2.ImRead(path1, ImreadModes.Color);
if (img1.Empty())
{
Console.WriteLine($"Error loading image {path1}");
return false;
}
// Cv2.Resize(img1, img1, new Size(550, 270));
// Cv2.Resize(img1, img1, new Size(550, 270));
Mat gimg1 = new Mat();
Cv2.CvtColor(img1, gimg1, ColorConversionCodes.BGR2GRAY);
Mat thr1 = new Mat();
if(IfWhiteWord)
if (IfWhiteWord)
{
Cv2.Threshold(gimg1, thr1, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
Cv2.Threshold(gimg1, thr1, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
}
else
{
@ -52,10 +53,10 @@ namespace HisenceYoloDetection
Mat img2 = MatDet.Clone();
if (img2.Empty())
{
// Console.WriteLine($"Error loading image {path2}");
// Console.WriteLine($"Error loading image {path2}");
return false;
}
// Cv2.Resize(img2, img2, new Size(550, 270));
// Cv2.Resize(img2, img2, new Size(550, 270));
Mat gimg2 = new Mat();
Cv2.CvtColor(img2, gimg2, ColorConversionCodes.BGR2GRAY);
Mat thr2 = new Mat();
@ -68,13 +69,13 @@ namespace HisenceYoloDetection
{
Cv2.Threshold(gimg2, thr2, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);
}
// Cv2.Threshold(gimg2, thr2, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);
//Rect area2 = new Rect(148,30,229,222);
sqlrect.Width += 20;
sqlrect.Height += 60;
detrect.Width += 20;
detrect.Height += 60;
Mat matCutblack1 = new Mat(thr1, sqlrect);
if (IfWhiteWord)
{
@ -95,17 +96,17 @@ namespace HisenceYoloDetection
}
Cv2.Resize(thr1, thr1, new Size(550, 270));
Cv2.Resize(thr2, thr2, new Size(550, 270));
DateTime dt= DateTime.Now;
string filename= dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
DateTime dt = DateTime.Now;
string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename+"_thr1.png");
// 保存结果
//string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
//// 保存结果
Cv2.ImWrite(savePath4, thr1);
string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename+"_thr2.png");
// 保存结果
//Cv2.ImWrite(savePath4, thr1);
//string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
//// 保存结果
Cv2.ImWrite(savePath3, thr2);
//Cv2.ImWrite(savePath3, thr2);
// 创建卷积核
Mat filter1 = new Mat(15, 15, MatType.CV_32F, new Scalar(0));
@ -145,10 +146,17 @@ namespace HisenceYoloDetection
Mat devIMG_ = new Mat();
Cv2.Subtract(final_result1, final_result2, devIMG);
Cv2.Subtract(final_result2, final_result1, devIMG_);
//string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
//// 保存结果
//Cv2.ImWrite(savePathd, devIMG);
//string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
//// 保存结果
//Cv2.ImWrite(savePathd1, devIMG_);
// 对差异图像应用阈值
Cv2.Threshold(devIMG, devIMG, 50, 255, ThresholdTypes.Binary);
Cv2.Threshold(devIMG_, devIMG_, 50, 255, ThresholdTypes.Binary);
Cv2.Threshold(devIMG, devIMG, 20, 255, ThresholdTypes.Binary);
Cv2.Threshold(devIMG_, devIMG_, 20, 255, ThresholdTypes.Binary);
// 结合差异
Mat sumIMG = new Mat();
@ -160,36 +168,46 @@ namespace HisenceYoloDetection
Cv2.Dilate(sumIMG, blackhatImg, kernelCL);
// 处理轮廓和保存结果
Point[][] contours = new Point[10000][];
Point[][] contours = new Point[10000][];
Cv2.FindContours(blackhatImg, out contours, out _, RetrievalModes.Tree, ContourApproximationModes.ApproxSimple);
bool isMatch = true;
foreach (var contour in contours)
{
if (Cv2.ContourArea(contour) <= 100)
if (Cv2.ContourArea(contour) <= 500)
{
Cv2.DrawContours(blackhatImg, new Point[][] { contour }, -1, Scalar.Black, thickness: Cv2.FILLED);
// 框选轮廓
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);
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");
Cv2.ImWrite(savePath, blackhatImg);
}
else
{
Rect boundingRect = Cv2.BoundingRect(contour);
Cv2.Rectangle(img2, boundingRect, Scalar.Red, thickness: 2);
isMatch= false;
isMatch = false;
string savePath2 = Path.Combine("D:\\Hisence\\Test\\2\\ok", Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
// 保存结果
//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
Cv2.ImWrite(savePath2, img2);
string savePath = Path.Combine("D:\\Hisence\\Test\\2\\ok", Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
// 保存结果
//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
Cv2.ImWrite(savePath, blackhatImg);
}
}
string savePath2 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename+"_Rect.png");
// 保存结果
//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
Cv2.ImWrite(savePath2, img2);
string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename+"_diff.png");
// 保存结果
//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
Cv2.ImWrite(savePath, blackhatImg);
return isMatch;
}
public static Rect strChangeRect(string strrect)
{
if (!string.IsNullOrEmpty(strrect))
@ -202,14 +220,15 @@ namespace HisenceYoloDetection
Rect rect = new Rect(areaX, areaY, areaWidth, areaHeight);
return rect;
}else
}
else
{
return new Rect(0,0,0, 0);
return new Rect(0, 0, 0, 0);
}
}
public static string rectChangeStr(Rect area)
public static string rectChangeStr(Rect area)
{
string[] rectsql = new string[4];
rectsql[0] = Convert.ToString(area.X);
@ -220,123 +239,198 @@ namespace HisenceYoloDetection
string strrect = rectsql.Join(",");
return strrect;
}
//public static void CheckDiffSci(string path1, string path2, bool IfWhiteWord, string saveDir)
//{
// // 读取和处理第一张图片
// Mat img1 = Cv2.ImRead(path1, ImreadModes.Color);
// if (img1.Empty())
// {
// Console.WriteLine($"Error loading image {path1}");
// return;
// }
// Cv2.Resize(img1, img1, new Size(550, 270));
// Mat gimg1 = new Mat();
// Cv2.CvtColor(img1, gimg1, ColorConversionCodes.BGR2GRAY);
// Mat thr1 = new Mat();
public static class CheckDiffSciHelper1
{
/// <summary>
///
/// </summary>
/// <param name="path1">标准图像</param>
/// <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)
{
// 读取和处理第一张图片
Mat img1 = Cv2.ImRead(path1, ImreadModes.Color);
if (img1.Empty())
{
Console.WriteLine($"Error loading image {path1}");
return false;
}
// Cv2.Resize(img1, img1, new Size(550, 270));
Mat gimg1 = new Mat();
Cv2.CvtColor(img1, gimg1, ColorConversionCodes.BGR2GRAY);
Mat thr1 = new Mat();
// if (IfWhiteWord)
// {
// Cv2.Threshold(gimg1, thr1, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
// }
// else
// {
// Cv2.Threshold(gimg1, thr1, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);
// }
if (IfWhiteWord)
{
Cv2.Threshold(gimg1, thr1, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
}
else
{
Cv2.Threshold(gimg1, thr1, 100, 255, ThresholdTypes.Binary );//| ThresholdTypes.Otsu
}
// string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_thr1.png");
// // 保存结果
// //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
// Cv2.ImWrite(savePath4, thr1);
// // 读取和处理第二张图片
// Mat img2 = Cv2.ImRead(path2, ImreadModes.Color);
// if (img2.Empty())
// {
// Console.WriteLine($"Error loading image {path2}");
// return;
// }
// Cv2.Resize(img2, img2, new Size(550, 270));
// Mat gimg2 = new Mat();
// Cv2.CvtColor(img2, gimg2, ColorConversionCodes.BGR2GRAY);
// Mat thr2 = new Mat();
// //Cv2.Threshold(gimg2, thr2, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
// if (IfWhiteWord)
// {
// Cv2.Threshold(gimg2, thr2, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
// }
// else
// {
// Cv2.Threshold(gimg2, thr2, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);
// }
// // Cv2.Threshold(gimg2, thr2, 0, 255, ThresholdTypes.Binary | ThresholdTypes.Otsu);
// string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_thr2.png");
// // 保存结果
// //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
// Cv2.ImWrite(savePath3, thr2);
// 读取和处理第二张图片
Mat img2 = MatDet.Clone();
if (img2.Empty())
{
// Console.WriteLine($"Error loading image {path2}");
return false;
}
// Cv2.Resize(img2, img2, new Size(550, 270));
Mat gimg2 = new Mat();
Cv2.CvtColor(img2, gimg2, ColorConversionCodes.BGR2GRAY);
Mat thr2 = new Mat();
//Cv2.Threshold(gimg2, thr2, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
if (IfWhiteWord)
{
Cv2.Threshold(gimg2, thr2, 0, 255, ThresholdTypes.BinaryInv | ThresholdTypes.Otsu);
}
else
{
Cv2.Threshold(gimg2, thr2, 100, 255, ThresholdTypes.Binary );//| ThresholdTypes.Otsu
}
// // 创建卷积核
// Mat filter1 = new Mat(17, 17, MatType.CV_32F, new Scalar(0));
// filter1.Row(8).SetTo(new Scalar(0.025));
// filter1.Col(8).SetTo(new Scalar(0.025));
// // 应用卷积
// Mat final_result1 = new Mat();
// Cv2.Filter2D(thr1, final_result1, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
// Cv2.Filter2D(final_result1, final_result1, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
// Cv2.Filter2D(final_result1, final_result1, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
//Rect area2 = new Rect(148,30,229,222);
sqlrect.Width += 20;
sqlrect.Height += 20;
detrect.Width += 20;
detrect.Height += 20;
Mat matCutblack1 = new Mat(thr1, sqlrect);
if (IfWhiteWord)
{
matCutblack1.SetTo(Scalar.Black);
}
else
{
matCutblack1.SetTo(Scalar.Black);
}
Mat matCutblack2 = new Mat(thr2, detrect);
if (IfWhiteWord)
{
matCutblack2.SetTo(Scalar.Black);
}
else
{
matCutblack2.SetTo(Scalar.Black);
}
Cv2.Resize(thr1, thr1, new Size(845, 498));
Cv2.Resize(thr2, thr2, new Size(845, 498));
DateTime dt = DateTime.Now;
string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
// Mat final_result2 = new Mat();
// Cv2.Filter2D(thr2, final_result2, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
// Cv2.Filter2D(final_result2, final_result2, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
// Cv2.Filter2D(final_result2, final_result2, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
//string savePath4 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr1.png");
//// 保存结果
// // 计算图像差异
// Mat devIMG = new Mat();
// Mat devIMG_ = new Mat();
// Cv2.Subtract(final_result1, final_result2, devIMG);
// Cv2.Subtract(final_result2, final_result1, devIMG_);
//Cv2.ImWrite(savePath4, thr1);
//string savePath3 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_thr2.png");
//// 保存结果
// // 对差异图像应用阈值
// Cv2.Threshold(devIMG, devIMG, 50, 255, ThresholdTypes.Binary);
// Cv2.Threshold(devIMG_, devIMG_, 50, 255, ThresholdTypes.Binary);
//Cv2.ImWrite(savePath3, thr2);
// // 结合差异
// Mat sumIMG = new Mat();
// Cv2.Add(devIMG, devIMG_, sumIMG);
// 创建卷积核
// // 应用形态学操作
// Mat kernelCL = Cv2.GetStructuringElement(MorphShapes.Rect, new Size(3, 3));
// Mat blackhatImg = new Mat();
// Cv2.Dilate(sumIMG, blackhatImg, kernelCL);
Mat filter1 = new Mat(15,15, MatType.CV_32F, new Scalar(0));
filter1.Row(7).SetTo(new Scalar(0.025));
filter1.Col(7).SetTo(new Scalar(0.025));
// // 处理轮廓和保存结果
// Point[][] contours = new Point[10000][];
// Cv2.FindContours(blackhatImg, out contours, out _, RetrievalModes.Tree, ContourApproximationModes.ApproxSimple);
// foreach (var contour in contours)
// {
// if (Cv2.ContourArea(contour) <= 100)
// {
// Cv2.DrawContours(blackhatImg, new Point[][] { contour }, -1, Scalar.Black, thickness: Cv2.FILLED);
// // 框选轮廓
// 应用卷积
Mat final_result1 = new Mat();
Cv2.Filter2D(thr1, final_result1, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
Cv2.Filter2D(final_result1, final_result1, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
Cv2.Filter2D(final_result1, final_result1, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
// }
// else
// {
// Rect boundingRect = Cv2.BoundingRect(contour);
// Cv2.Rectangle(img2, boundingRect, Scalar.Red, thickness: 2);
// }
// }
// string savePath2 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_Rect.png");
// // 保存结果
// //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
// Cv2.ImWrite(savePath2, img2);
// string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
// // 保存结果
// //string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
// Cv2.ImWrite(savePath, blackhatImg);
//}
//Cv2.Filter2D(final_result1, final_result1, -1, filter2, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
Mat final_result2 = new Mat();
Cv2.Filter2D(thr2, final_result2, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
Cv2.Filter2D(final_result2, final_result2, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
Cv2.Filter2D(final_result2, final_result2, -1, filter1, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
//Cv2.Filter2D(final_result2, final_result2, -1, filter2, anchor: new Point(-1, -1), 0, BorderTypes.Reflect);
//裁剪才行
//string savePath2 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + "_final_result1.png");
//// 保存结果
////string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
//Cv2.ImWrite(savePath2, final_result1);
//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + "_final_result2.png");
//// 保存结果
////string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
//Cv2.ImWrite(savePath, final_result2);
// 计算图像差异
Mat devIMG = new Mat();
Mat devIMG_ = new Mat();
Cv2.Subtract(final_result1, final_result2, devIMG);
Cv2.Subtract(final_result2, final_result1, devIMG_);
//string savePathd = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG.png");
//// 保存结果
//Cv2.ImWrite(savePathd, devIMG);
//string savePathd1 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "devIMG_.png");
//// 保存结果
//Cv2.ImWrite(savePathd1, devIMG_);
// 对差异图像应用阈值
Cv2.Threshold(devIMG, devIMG, 45, 255, ThresholdTypes.Binary);
Cv2.Threshold(devIMG_, devIMG_, 45, 255, ThresholdTypes.Binary);
// 结合差异
Mat sumIMG = new Mat();
Cv2.Add(devIMG, devIMG_, sumIMG);
//string savePaths = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "sumIMG.png");
//// 保存结果
//Cv2.ImWrite(savePaths, sumIMG);
// 应用形态学操作
Mat kernelCL = Cv2.GetStructuringElement(MorphShapes.Rect, new Size(3, 3));
Mat blackhatImg = new Mat();
Cv2.Dilate(sumIMG, blackhatImg, kernelCL);
// 处理轮廓和保存结果
Point[][] contours = new Point[10000][];
Cv2.FindContours(blackhatImg, out contours, out _, RetrievalModes.Tree, ContourApproximationModes.ApproxSimple);
bool isMatch = true;
foreach (var contour in contours)
{
if (Cv2.ContourArea(contour) <= 100)
{
Cv2.DrawContours(blackhatImg, new Point[][] { contour }, -1, Scalar.Black, thickness: Cv2.FILLED);
// 框选轮廓
}
else
{
Rect boundingRect = Cv2.BoundingRect(contour);
Cv2.Rectangle(img2, boundingRect, Scalar.Red, thickness: 2);
isMatch = false;
}
}
string savePath2 = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_Rect.png");
// 保存结果
//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
Cv2.ImWrite(savePath2, img2);
string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path1) + filename + "_diff.png");
// 保存结果
//string savePath = Path.Combine(saveDir, Path.GetFileNameWithoutExtension(path2) + "_diff.png");
Cv2.ImWrite(savePath, blackhatImg);
return isMatch;
}
}
}
}

238
HisenceYoloDetection/MainForm.Designer.cs generated
View File

@ -36,6 +36,8 @@
OpenCvSharp.Mat mat5 = new OpenCvSharp.Mat();
OpenCvSharp.Mat mat6 = new OpenCvSharp.Mat();
OpenCvSharp.Mat mat7 = new OpenCvSharp.Mat();
OpenCvSharp.Mat mat8 = new OpenCvSharp.Mat();
OpenCvSharp.Mat mat9 = new OpenCvSharp.Mat();
System.ComponentModel.ComponentResourceManager resources = new System.ComponentModel.ComponentResourceManager(typeof(MainForm));
tabPage2 = new TabPage();
panel1 = new Panel();
@ -73,6 +75,8 @@
label12 = new Label();
label11 = new Label();
ModeleShow = new GroupBox();
handStopBtn = new Button();
HandRuningBtn = new Button();
ZBackwardrbx = new RadioButton();
YBackwardrbx = new RadioButton();
XBackwardrbx = new RadioButton();
@ -126,9 +130,9 @@
tabPage5 = new TabPage();
panel4 = new Panel();
panel5 = new Panel();
DefetShow5 = new XKRS.UI.Canvas();
DefetShow7 = new XKRS.UI.Canvas();
DefetShow6 = new XKRS.UI.Canvas();
panel8 = new Panel();
RefeshData = new Button();
实时显示 = new Label();
OKOrNGShow = new PictureBox();
OKDNum = new TextBox();
@ -137,16 +141,16 @@
label19 = new Label();
AllDSum = new TextBox();
label18 = new Label();
InsertSqlBtn = new Button();
StartDecBtn = new Button();
ScanDevList = new Button();
DevNameCombo = new ComboBox();
InitMachine = new Button();
DefetShow2 = new XKRS.UI.Canvas();
panel6 = new Panel();
groupBox2 = new GroupBox();
DefetShow5 = new XKRS.UI.Canvas();
DefetShow4 = new XKRS.UI.Canvas();
DefetShow3 = new XKRS.UI.Canvas();
DefetShow2 = new XKRS.UI.Canvas();
originMat2Show = new PictureBox();
DefetShow1 = new XKRS.UI.Canvas();
ResultMatShow2 = new PictureBox();
@ -561,6 +565,8 @@
//
// ModeleShow
//
ModeleShow.Controls.Add(handStopBtn);
ModeleShow.Controls.Add(HandRuningBtn);
ModeleShow.Controls.Add(ZBackwardrbx);
ModeleShow.Controls.Add(YBackwardrbx);
ModeleShow.Controls.Add(XBackwardrbx);
@ -580,6 +586,26 @@
ModeleShow.TabStop = false;
ModeleShow.Text = "模组显示";
//
// handStopBtn
//
handStopBtn.Location = new Point(266, 266);
handStopBtn.Name = "handStopBtn";
handStopBtn.Size = new Size(125, 82);
handStopBtn.TabIndex = 23;
handStopBtn.Text = "手动阻塞";
handStopBtn.UseVisualStyleBackColor = true;
handStopBtn.Click += handStopBtn_Click;
//
// HandRuningBtn
//
HandRuningBtn.Location = new Point(410, 266);
HandRuningBtn.Name = "HandRuningBtn";
HandRuningBtn.Size = new Size(125, 82);
HandRuningBtn.TabIndex = 22;
HandRuningBtn.Text = "手动放行";
HandRuningBtn.UseVisualStyleBackColor = true;
HandRuningBtn.Click += HandRuningBtn_Click;
//
// ZBackwardrbx
//
ZBackwardrbx.Appearance = Appearance.Button;
@ -1129,8 +1155,10 @@
//
// panel5
//
panel5.Controls.Add(DefetShow5);
panel5.Controls.Add(DefetShow7);
panel5.Controls.Add(DefetShow6);
panel5.Controls.Add(panel8);
panel5.Controls.Add(DefetShow2);
panel5.Controls.Add(panel6);
panel5.Dock = DockStyle.Top;
panel5.Location = new Point(0, 0);
@ -1138,30 +1166,50 @@
panel5.Size = new Size(1276, 762);
panel5.TabIndex = 0;
//
// DefetShow5
// DefetShow7
//
DefetShow5.AllowSelectDefect = true;
DefetShow5.BrushColor = null;
DefetShow5.ImagePath = "";
DefetShow7.AllowSelectDefect = true;
DefetShow7.BrushColor = null;
DefetShow7.ImagePath = "";
mat3.IsEnabledDispose = true;
DefetShow5.ImaMAt = mat3;
DefetShow5.ImgData = null;
DefetShow5.Location = new Point(853, 464);
DefetShow5.MoveStep = 5F;
DefetShow5.Name = "DefetShow5";
DefetShow5.Route = 0D;
DefetShow5.Scale = 1D;
DefetShow5.Size = new Size(254, 196);
DefetShow5.TabIndex = 10;
DefetShow5.WholeScale = 0F;
DefetShow5.XMove = 0F;
DefetShow5.XScale = 0F;
DefetShow5.YMove = 0F;
DefetShow5.YScale = 0F;
DefetShow7.ImaMAt = mat3;
DefetShow7.ImgData = null;
DefetShow7.Location = new Point(1021, 464);
DefetShow7.MoveStep = 5F;
DefetShow7.Name = "DefetShow7";
DefetShow7.Route = 0D;
DefetShow7.Scale = 1D;
DefetShow7.Size = new Size(209, 196);
DefetShow7.TabIndex = 12;
DefetShow7.WholeScale = 0F;
DefetShow7.XMove = 0F;
DefetShow7.XScale = 0F;
DefetShow7.YMove = 0F;
DefetShow7.YScale = 0F;
//
// DefetShow6
//
DefetShow6.AllowSelectDefect = true;
DefetShow6.BrushColor = null;
DefetShow6.ImagePath = "";
mat4.IsEnabledDispose = true;
DefetShow6.ImaMAt = mat4;
DefetShow6.ImgData = null;
DefetShow6.Location = new Point(751, 464);
DefetShow6.MoveStep = 5F;
DefetShow6.Name = "DefetShow6";
DefetShow6.Route = 0D;
DefetShow6.Scale = 1D;
DefetShow6.Size = new Size(209, 196);
DefetShow6.TabIndex = 11;
DefetShow6.WholeScale = 0F;
DefetShow6.XMove = 0F;
DefetShow6.XScale = 0F;
DefetShow6.YMove = 0F;
DefetShow6.YScale = 0F;
//
// panel8
//
panel8.Controls.Add(RefeshData);
panel8.Controls.Add(实时显示);
panel8.Controls.Add(OKOrNGShow);
panel8.Controls.Add(OKDNum);
@ -1170,31 +1218,20 @@
panel8.Controls.Add(label19);
panel8.Controls.Add(AllDSum);
panel8.Controls.Add(label18);
panel8.Controls.Add(InsertSqlBtn);
panel8.Controls.Add(StartDecBtn);
panel8.Controls.Add(ScanDevList);
panel8.Controls.Add(DevNameCombo);
panel8.Controls.Add(InitMachine);
panel8.Location = new Point(853, 0);
panel8.Name = "panel8";
panel8.Size = new Size(440, 458);
panel8.Size = new Size(440, 244);
panel8.TabIndex = 2;
panel8.Paint += panel8_Paint;
//
// RefeshData
//
RefeshData.Location = new Point(24, 340);
RefeshData.Name = "RefeshData";
RefeshData.Size = new Size(94, 43);
RefeshData.TabIndex = 13;
RefeshData.Text = "刷新";
RefeshData.UseVisualStyleBackColor = true;
RefeshData.Click += RefeshData_Click;
//
// 实时显示
//
实时显示.AutoSize = true;
实时显示.Location = new Point(326, 175);
实时显示.Location = new Point(332, 26);
实时显示.Name = "实时显示";
实时显示.Size = new Size(56, 17);
实时显示.TabIndex = 12;
@ -1202,7 +1239,7 @@
//
// OKOrNGShow
//
OKOrNGShow.Location = new Point(254, 204);
OKOrNGShow.Location = new Point(254, 60);
OKOrNGShow.Name = "OKOrNGShow";
OKOrNGShow.Size = new Size(183, 179);
OKOrNGShow.SizeMode = PictureBoxSizeMode.CenterImage;
@ -1211,7 +1248,7 @@
//
// OKDNum
//
OKDNum.Location = new Point(125, 296);
OKDNum.Location = new Point(132, 207);
OKDNum.Name = "OKDNum";
OKDNum.ReadOnly = true;
OKDNum.Size = new Size(100, 23);
@ -1220,7 +1257,7 @@
// label20
//
label20.AutoSize = true;
label20.Location = new Point(49, 300);
label20.Location = new Point(56, 211);
label20.Name = "label20";
label20.Size = new Size(50, 17);
label20.TabIndex = 9;
@ -1228,7 +1265,7 @@
//
// NGDNum
//
NGDNum.Location = new Point(125, 249);
NGDNum.Location = new Point(132, 160);
NGDNum.Name = "NGDNum";
NGDNum.ReadOnly = true;
NGDNum.Size = new Size(100, 23);
@ -1237,7 +1274,7 @@
// label19
//
label19.AutoSize = true;
label19.Location = new Point(49, 253);
label19.Location = new Point(56, 164);
label19.Name = "label19";
label19.Size = new Size(51, 17);
label19.TabIndex = 7;
@ -1245,7 +1282,7 @@
//
// AllDSum
//
AllDSum.Location = new Point(125, 204);
AllDSum.Location = new Point(132, 115);
AllDSum.Name = "AllDSum";
AllDSum.ReadOnly = true;
AllDSum.Size = new Size(100, 23);
@ -1254,26 +1291,15 @@
// label18
//
label18.AutoSize = true;
label18.Location = new Point(49, 208);
label18.Location = new Point(56, 119);
label18.Name = "label18";
label18.Size = new Size(44, 17);
label18.TabIndex = 5;
label18.Text = "总个数";
//
// InsertSqlBtn
//
InsertSqlBtn.Location = new Point(54, 56);
InsertSqlBtn.Name = "InsertSqlBtn";
InsertSqlBtn.Size = new Size(92, 48);
InsertSqlBtn.TabIndex = 4;
InsertSqlBtn.Text = "型号录入";
InsertSqlBtn.UseVisualStyleBackColor = true;
InsertSqlBtn.Visible = false;
InsertSqlBtn.Click += InsertSqlBtn_Click;
//
// StartDecBtn
//
StartDecBtn.Location = new Point(160, 127);
StartDecBtn.Location = new Point(131, 60);
StartDecBtn.Name = "StartDecBtn";
StartDecBtn.Size = new Size(94, 43);
StartDecBtn.TabIndex = 3;
@ -1283,7 +1309,7 @@
//
// ScanDevList
//
ScanDevList.Location = new Point(272, 25);
ScanDevList.Location = new Point(231, 23);
ScanDevList.Name = "ScanDevList";
ScanDevList.Size = new Size(75, 23);
ScanDevList.TabIndex = 2;
@ -1294,14 +1320,14 @@
// DevNameCombo
//
DevNameCombo.FormattingEnabled = true;
DevNameCombo.Location = new Point(54, 25);
DevNameCombo.Location = new Point(25, 23);
DevNameCombo.Name = "DevNameCombo";
DevNameCombo.Size = new Size(200, 25);
DevNameCombo.TabIndex = 1;
//
// InitMachine
//
InitMachine.Location = new Point(54, 127);
InitMachine.Location = new Point(24, 60);
InitMachine.Name = "InitMachine";
InitMachine.Size = new Size(94, 43);
InitMachine.TabIndex = 0;
@ -1309,6 +1335,27 @@
InitMachine.UseVisualStyleBackColor = true;
InitMachine.Click += InitMachine_Click;
//
// DefetShow2
//
DefetShow2.AllowSelectDefect = true;
DefetShow2.BrushColor = null;
DefetShow2.ImagePath = "";
mat5.IsEnabledDispose = true;
DefetShow2.ImaMAt = mat5;
DefetShow2.ImgData = null;
DefetShow2.Location = new Point(850, 249);
DefetShow2.MoveStep = 5F;
DefetShow2.Name = "DefetShow2";
DefetShow2.Route = 0D;
DefetShow2.Scale = 1D;
DefetShow2.Size = new Size(285, 196);
DefetShow2.TabIndex = 9;
DefetShow2.WholeScale = 0F;
DefetShow2.XMove = 0F;
DefetShow2.XScale = 0F;
DefetShow2.YMove = 0F;
DefetShow2.YScale = 0F;
//
// panel6
//
panel6.Controls.Add(groupBox2);
@ -1320,9 +1367,9 @@
// groupBox2
//
groupBox2.AutoSize = true;
groupBox2.Controls.Add(DefetShow5);
groupBox2.Controls.Add(DefetShow4);
groupBox2.Controls.Add(DefetShow3);
groupBox2.Controls.Add(DefetShow2);
groupBox2.Controls.Add(originMat2Show);
groupBox2.Controls.Add(DefetShow1);
groupBox2.Controls.Add(ResultMatShow2);
@ -1337,20 +1384,41 @@
groupBox2.Text = "图片";
groupBox2.Enter += groupBox2_Enter;
//
// DefetShow5
//
DefetShow5.AllowSelectDefect = true;
DefetShow5.BrushColor = null;
DefetShow5.ImagePath = "";
mat6.IsEnabledDispose = true;
DefetShow5.ImaMAt = mat6;
DefetShow5.ImgData = null;
DefetShow5.Location = new Point(537, 460);
DefetShow5.MoveStep = 5F;
DefetShow5.Name = "DefetShow5";
DefetShow5.Route = 0D;
DefetShow5.Scale = 1D;
DefetShow5.Size = new Size(209, 196);
DefetShow5.TabIndex = 10;
DefetShow5.WholeScale = 0F;
DefetShow5.XMove = 0F;
DefetShow5.XScale = 0F;
DefetShow5.YMove = 0F;
DefetShow5.YScale = 0F;
//
// DefetShow4
//
DefetShow4.AllowSelectDefect = true;
DefetShow4.BrushColor = null;
DefetShow4.ImagePath = "";
mat4.IsEnabledDispose = true;
DefetShow4.ImaMAt = mat4;
mat7.IsEnabledDispose = true;
DefetShow4.ImaMAt = mat7;
DefetShow4.ImgData = null;
DefetShow4.Location = new Point(574, 460);
DefetShow4.Location = new Point(297, 460);
DefetShow4.MoveStep = 5F;
DefetShow4.Name = "DefetShow4";
DefetShow4.Route = 0D;
DefetShow4.Scale = 1D;
DefetShow4.Size = new Size(265, 196);
DefetShow4.Size = new Size(220, 196);
DefetShow4.TabIndex = 11;
DefetShow4.WholeScale = 0F;
DefetShow4.XMove = 0F;
@ -1363,15 +1431,15 @@
DefetShow3.AllowSelectDefect = true;
DefetShow3.BrushColor = null;
DefetShow3.ImagePath = "";
mat5.IsEnabledDispose = true;
DefetShow3.ImaMAt = mat5;
mat8.IsEnabledDispose = true;
DefetShow3.ImaMAt = mat8;
DefetShow3.ImgData = null;
DefetShow3.Location = new Point(303, 460);
DefetShow3.Location = new Point(6, 460);
DefetShow3.MoveStep = 5F;
DefetShow3.Name = "DefetShow3";
DefetShow3.Route = 0D;
DefetShow3.Scale = 1D;
DefetShow3.Size = new Size(265, 196);
DefetShow3.Size = new Size(285, 196);
DefetShow3.TabIndex = 10;
DefetShow3.WholeScale = 0F;
DefetShow3.XMove = 0F;
@ -1379,27 +1447,6 @@
DefetShow3.YMove = 0F;
DefetShow3.YScale = 0F;
//
// DefetShow2
//
DefetShow2.AllowSelectDefect = true;
DefetShow2.BrushColor = null;
DefetShow2.ImagePath = "";
mat6.IsEnabledDispose = true;
DefetShow2.ImaMAt = mat6;
DefetShow2.ImgData = null;
DefetShow2.Location = new Point(6, 460);
DefetShow2.MoveStep = 5F;
DefetShow2.Name = "DefetShow2";
DefetShow2.Route = 0D;
DefetShow2.Scale = 1D;
DefetShow2.Size = new Size(285, 196);
DefetShow2.TabIndex = 9;
DefetShow2.WholeScale = 0F;
DefetShow2.XMove = 0F;
DefetShow2.XScale = 0F;
DefetShow2.YMove = 0F;
DefetShow2.YScale = 0F;
//
// originMat2Show
//
originMat2Show.Location = new Point(574, 21);
@ -1414,15 +1461,15 @@
DefetShow1.AllowSelectDefect = true;
DefetShow1.BrushColor = null;
DefetShow1.ImagePath = "";
mat7.IsEnabledDispose = true;
DefetShow1.ImaMAt = mat7;
mat9.IsEnabledDispose = true;
DefetShow1.ImaMAt = mat9;
DefetShow1.ImgData = null;
DefetShow1.Location = new Point(574, 245);
DefetShow1.MoveStep = 5F;
DefetShow1.Name = "DefetShow1";
DefetShow1.Route = 0D;
DefetShow1.Scale = 1D;
DefetShow1.Size = new Size(262, 209);
DefetShow1.Size = new Size(254, 209);
DefetShow1.TabIndex = 7;
DefetShow1.WholeScale = 0F;
DefetShow1.XMove = 0F;
@ -1957,7 +2004,6 @@
private Label label15;
private Button StartDecBtn;
private ContextMenuStrip contextMenuStrip1;
private Button InsertSqlBtn;
private PictureBox ResultMatShow2;
private PictureBox originMatShow2;
private TextBox OKDNum;
@ -1968,7 +2014,6 @@
private Label label18;
private Label 实时显示;
private PictureBox OKOrNGShow;
private Button RefeshData;
private GroupBox groupBox3;
private Button SnapshotCam2;
private Button button3;
@ -2035,7 +2080,7 @@
private Button openModelBtn;
private TextBox modelChangeCbx;
private Label label34;
private Button button1;
private Button HandRuningBtn;
private Label label33;
private CheckBox WhiteBanCbx;
private XKRS.UI.Canvas DefetShow1;
@ -2046,5 +2091,8 @@
private XKRS.UI.Canvas DefetShow3;
private XKRS.UI.Canvas DefetShow2;
private PictureBox originMat2Show;
private XKRS.UI.Canvas DefetShow7;
private XKRS.UI.Canvas DefetShow6;
private Button handStopBtn;
}
}

293
HisenceYoloDetection/MainForm.cs
View File

@ -5,6 +5,8 @@ using OpenCvSharp;
using OpenCvSharp.Dnn;
using OpenCvSharp.Extensions;
using OpenCvSharp.XFeatures2D;
using Sunny.UI;
using Sunny.UI.Win32;
using System;
using System.ComponentModel;
using System.Data;
@ -23,6 +25,7 @@ using System.Text.RegularExpressions;
using System.Windows.Forms;
using XKRS.Device.SimboVision.SimboHelper;
using XKRS.UI;
using static HisenceYoloDetection.CheckDiffSciHelper;
using static HisenceYoloDetection.MainForm;
using static System.Runtime.InteropServices.JavaScript.JSType;
using static System.Windows.Forms.VisualStyles.VisualStyleElement;
@ -189,10 +192,11 @@ namespace HisenceYoloDetection
private void MainForm_Load(object sender, EventArgs e)
{
string s1 = "ECO4060##Coton20℃##Rapide15mns";
string s2 = "Eco4060##Coton20℃##Rapide15mns";
string s1 = "gorenjeSTEAMTECHSNOWFLAKEDRUM65kg";
string s2 = "STEAMTECHSNOWFLAKEDRUM65kg";
bool st = ManagerModelHelper.StrMatch2(s1, s2);
bool st = ManagerModelHelper.StrMatch(s1, s2);
bool st1 = ManagerModelHelper.StrMatch2(s1, s2);
//Rect rect = new Rect(0, 0, 0, 0);
//string path2 = "D:\\Hisence\\SQLImages\\W80WXWJ060539V0WW80WX120293\\2\\W80WXWJ060539V0WW80WX120293result.jpg";
@ -273,6 +277,7 @@ namespace HisenceYoloDetection
}
public void Execute(object source, System.Timers.ElapsedEventArgs e)
{
t.Stop(); //先关闭定时器
//melsecPLCTCPDriver.WriteInt("548", 1);
//Thread.Sleep(1000);
@ -520,6 +525,7 @@ namespace HisenceYoloDetection
// tbFrameRate.Enabled = false;
bnGetParam.Enabled = false;
bnSetParam.Enabled = false;
}
private void button3_Click(object sender, EventArgs e)
{
@ -549,6 +555,7 @@ namespace HisenceYoloDetection
Bitmap NGbitmap = new Bitmap("NG.jpg");
Mat OKMat = Cv2.ImRead("OK.jpg");
Mat NGMat = Cv2.ImRead("OK.jpg");
Mat whiteMat = Cv2.ImRead("white.jpg");
/// <summary>
/// 主线程调用
/// </summary>
@ -592,10 +599,10 @@ namespace HisenceYoloDetection
melsecPLCTCPDriver.WriteInt("514", 0);//定位松开
melsecPLCTCPDriver.WriteInt("524", 0);//定位松开
melsecPLCTCPDriver.WriteInt("406", 60000); //写入手动速度
melsecPLCTCPDriver.WriteInt("416", 8000);
melsecPLCTCPDriver.WriteInt("416", 10000);
melsecPLCTCPDriver.WriteInt("426", 10000);
melsecPLCTCPDriver.WriteInt("404", 100000); //写入定位速度
melsecPLCTCPDriver.WriteInt("414", 8000);
melsecPLCTCPDriver.WriteInt("414", 10000);
melsecPLCTCPDriver.WriteInt("424", 10000);
@ -610,6 +617,7 @@ namespace HisenceYoloDetection
Thread.Sleep(200);
melsecPLCTCPDriver.WriteInt("580", 0);
Thread.Sleep(200);
melsecPLCTCPDriver.WriteInt("550", 0);
while (true)
{
int IfXZeros = melsecPLCTCPDriver.ReadInt("102");
@ -1035,8 +1043,9 @@ namespace HisenceYoloDetection
// var resultMap = GetResultImage(resultMask, detectionResultShapes);
}
#endregion
int YPos = 8715;
int ZPos = 25000;
int YPos = 14957;
int ZPos = 4382;
bool StopM = false;//第一次用信号挡
/// <summary>
/// 监听洗衣机544是否触发后面对射传感器 相机
/// </summary>
@ -1079,6 +1088,7 @@ namespace HisenceYoloDetection
else
{
iNum1 = 0;
melsecPLCTCPDriver.WriteInt("550", 1);//阻塞
}
if (iNum1 >= 2)
{
@ -1086,9 +1096,16 @@ namespace HisenceYoloDetection
{
#if true
if(!StopM)
{
melsecPLCTCPDriver.WriteInt("550", 1);//阻塞
StopM = true;
}
myLog("第一次采集图像", DateTime.Now);
//移动模组 读三次测距的地址 看是否往前移动
MoveToP(5815, YPos, ZPos);
MoveToP(7948, YPos, ZPos);
// Thread.Sleep(2000);//删
@ -1108,7 +1125,7 @@ namespace HisenceYoloDetection
double dismove = disreal - 876;
if (dismove > 0 && dismove < 4000)
{
MoveToP(5815, YPos, ZPos + (int)(dismove));
MoveToP(7948, YPos, ZPos + (int)(dismove));
}
//Thread.Sleep(2000);//删
// Thread.Sleep(500);
@ -1124,9 +1141,12 @@ namespace HisenceYoloDetection
//}
//currentXP = 54964;
//Thread.Sleep(2000);//删
MoveToP(51043, YPos, ZPos + (int)(dismove));
Cam1.Snapshot();
MoveToP(5815, YPos, ZPos);
//MoveToP(51043, YPos, ZPos + (int)(dismove));
//Cam1.Snapshot();
MoveToP(7948, YPos, ZPos);
melsecPLCTCPDriver.WriteInt("550", 0);//方行
//Thread.Sleep(300);//洗衣机可能过不去
//if (xKNow != null)
//{
// MoveToP(xKNow.MoveX, xKNow.MoveY, xKNow.MoveZ);
@ -1142,7 +1162,7 @@ namespace HisenceYoloDetection
#else
myLog("第一次采集图像", DateTime.Now);
//移动模组 读三次测距的地址 看是否往前移动
//MoveToP(5815, YPos, ZPos);
//MoveToP(7948, YPos, ZPos);
Thread.Sleep(1000);//删
@ -1162,7 +1182,7 @@ namespace HisenceYoloDetection
//double dismove = disreal - 876;
//if (dismove > 0 && dismove < 4000)
//{
// MoveToP(5815, YPos, ZPos + (int)(dismove));
// MoveToP(7948, YPos, ZPos + (int)(dismove));
//}
Thread.Sleep(1000);//删
// Thread.Sleep(500);
@ -1182,7 +1202,7 @@ namespace HisenceYoloDetection
//MoveToP(51043, YPos, ZPos + (int)(dismove));
Cam1.Snapshot();
//MoveToP(5815, YPos, ZPos);
//MoveToP(7948, YPos, ZPos);
//if (xKNow != null)
//{
// MoveToP(xKNow.MoveX, xKNow.MoveY, xKNow.MoveZ);
@ -1257,8 +1277,8 @@ namespace HisenceYoloDetection
{
// Cam1ImgOne = Cv2.ImRead("D:\\Hisence\\类型\\1\\202461817464661.jpg"); ;
Cam1ImgOne = cameraMat;
//Cam1ImgOne = Cv2.ImRead("D:\\Hisence\\类型\\1\\001.jpg"); ;
Cam1ImgOne = cameraMat;
IfCam1OneTriger = true;
originMatShow.Image = cameraMat.ToBitmap();
//pictureBox1.Image = cameraMat.ToBitmap();
@ -1268,9 +1288,9 @@ namespace HisenceYoloDetection
//第二次拍照
if (SnapshotCount == 2)
{
//Mat mat = Cv2.ImRead("D:\\Hisence\\类型\\1\\002.jpg");
//Cam1ImgTwo = mat;
Cam1ImgTwo = cameraMat;
// Mat mat = Cv2.ImRead("D:\\Hisence\\类型\\1\\002.jpg");
// Cam1ImgTwo = mat;
Cam1ImgTwo = cameraMat;
IfCam1TwoTriger = true;
originMatShow2.Image = cameraMat.ToBitmap();
@ -1314,7 +1334,7 @@ namespace HisenceYoloDetection
/// </summary>
public void ReadyDetect()
{
Task.Run((Action)(() =>
_ = Task.Run((Action)(() =>
{
Thread.CurrentThread.Priority = ThreadPriority.Highest;
while (true)
@ -1340,7 +1360,7 @@ namespace HisenceYoloDetection
sw.WriteLine(IOcrBAr + "\n");
sw.Flush();
}
IOcrBAr = "BatchW825UModelWNHEI74SAS";
IOcrBAr = "BatchW96DHModelWF3S7021BWPl";
//根据条码数据库比对
xKNow = GetModeFromBar(IOcrBAr);//从数据库中查询到这个条码的四轴的值
List<XK_HisenceWord> xkWordList = ManagerModelHelper.GetModeWordFromBar(IOcrBAr);
@ -1387,6 +1407,16 @@ namespace HisenceYoloDetection
//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++;
@ -1421,6 +1451,12 @@ namespace HisenceYoloDetection
ResultMatShow.Image = mL.ResultMap;
}
else
{
Mat res_yolo = Cv2.ImRead("ng.jpg");
ResultMatShow.Image = res_yolo.ToBitmap();
}//无法框定导致图片闪烁，加else无法解决
//进行推理
MLRequest req2 = new MLRequest();
req2.currentMat = Cam1ImgTwo;
@ -1466,34 +1502,32 @@ namespace HisenceYoloDetection
detstr += RealLabels[i];
}
}
//排序比对块
HashSet<string> set1 = new HashSet<string>(listLabels);
HashSet<string> set2 = new HashSet<string>(RealLabels);
bool MatchStr = set1.SetEquals(set2);
if (MatchStr)
{
//判断块值是否有含有匹配false
bool containsFalseValue = keyValueResult.ContainsValue(false);
bool containsFalseValue2 = keyValueResult2.ContainsValue(false);
if (containsFalseValue || containsFalseValue2)
MatchStr = false;
}
///执行比对 小图
//bool MatchStr = ManagerModelHelper.IsMatchSQLText(ref mCut, ref xK_HisenceSQLWord, ref xK_MatchDet);
bool MatchStr = true;
keyValueResult.ForEach(x =>
{
if (x.Value == false)
{
MatchStr = false;
return;
}
});
keyValueResult2.ForEach(x =>
{
if (x.Value == false)
{
MatchStr = false;
return;
}
});
// int sqlblocksum=
IfCam1TwoTriger = false;
bBarTriger = false;
melsecPLCTCPDriver.WriteInt("550", 0);//方行
if (MatchStr)
{
OKDsums++;
@ -1785,17 +1819,30 @@ namespace HisenceYoloDetection
private void StartDecBtn_Click(object sender, EventArgs e)
{
/*
string path22 = "D:\\Hisence\\Test2\\BatchW96c0ModelWNHB6X2SDSPresult2024628924614_Rect.png";
Mat pathmat2 = Cv2.ImRead(path22);
string path222 = "D:\\Hisence\\Test2\\BatchW96c0ModelWNHB6X2SDSPresult2024628923102_Rect.png";
Rect rect1 = new Rect(1929, 745, 396, 377);
Rect rect = new Rect(368, 53, 396, 377);
CheckDiffSciHelper.CheckDiffSci(path222, pathmat2, rect, rect, true, "D://Hisence//Test2");
string path = "D:\\Hisence\\Test1\\1.png";
Mat pathmat =Cv2.ImRead(path);
string path2 = "D:\\Hisence\\Test1\\2.png";
Rect rect2 = new Rect(0, 0, 0, 0);
CheckDiffSciHelper1.CheckDiffSci(path2, pathmat, rect2, rect2, false, "D://Hisence//Test1");
*/
//OnGetBar();
TriggerCameral2();
ReadyDetect();
myLog("开启流程成功", DateTime.Now);
}
private void InsertSqlBtn_Click(object sender, EventArgs e)
{
}
private void RefeshData_Click(object sender, EventArgs e)
{
DataSet dataSet = SQLiteHelper.Query("select * from XK_HisenceDet");
@ -2619,17 +2666,17 @@ namespace HisenceYoloDetection
break;
case 6:
{
// DefetShow6.ImaMAt = detectionImage;
DefetShow6.ImaMAt = detectionImage;
}
break;
case 7:
{
// DefetShow7.ImaMAt = detectionImage;
DefetShow7.ImaMAt = detectionImage;
}
break;
case 8:
{
// DefetShow8.ImaMAt = detectionImage;
//DefetShow8.ImaMAt = detectionImage;
}
break;
@ -2659,7 +2706,13 @@ namespace HisenceYoloDetection
#if true
//try
//{
string filename = DateTime.Now.Year.ToString() + DateTime.Now.Month.ToString() + DateTime.Now.Day.ToString();
string txtLog = "D://Hisence//" + filename + "logsMatch.log";
using (StreamWriter sw = new StreamWriter(txtLog, true))
{
sw.WriteLine(filename + "\n");
sw.Flush();
}
Mat mResultCut = currentMatC.Clone();
Rect areaBlack = new Rect();
//旋钮的位置
@ -2675,7 +2728,7 @@ namespace HisenceYoloDetection
}
for (int i = 0; i < cam1TwoML.ResultDetails.Count; i++)
for (int i = 0; i < cam1TwoML.ResultDetails.Count; i++)
{
Mat mResultCuti = mResultCut.Clone();
int rectsx = cam1TwoML.ResultDetails[i].Rect.X;
@ -2684,12 +2737,12 @@ namespace HisenceYoloDetection
int rectsHeight = cam1TwoML.ResultDetails[i].Rect.Height;
string blockIndex = cam1TwoML.ResultDetails[i].LabelDisplay;
if(keyValueResult.Keys.Contains(blockIndex))
if (keyValueResult.Keys.Contains(blockIndex))
{
int indexof = keyValueResult.Keys.ToList().IndexOf(blockIndex);
int rectsxof = cam1TwoML.ResultDetails[indexof].Rect.X;
if(rectsx> rectsxof)
if (rectsx > rectsxof)
{
blockIndex = "3";
}
@ -2766,6 +2819,7 @@ namespace HisenceYoloDetection
string blockIndex = cam1TwoML.ResultDetails[i].LabelDisplay;
Rect area = new Rect(rectsx, rectsy, rectsWidth, rectsHeight);
Mat matCut = new Mat(mResultCuti, area);
Stopwatch sw = new Stopwatch();
sw.Start();
//OCR识别裁剪图片
@ -2847,6 +2901,7 @@ namespace HisenceYoloDetection
string TextWoidStr = OcrFuzzyTextInsert.Join("##"); //实际的检测字
string SQLStr = "";//日志显示数据库的关键字
bool juanjiMatch = false;
string filenameone = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString() + dt.Hour.ToString() + dt.Minute.ToString() + dt.Millisecond.ToString();
switch (blockIndex)
{
case "1"://完全匹配 重量信息
@ -2854,19 +2909,31 @@ namespace HisenceYoloDetection
xK_HisenceWord.OneblockPath = CutSavePath;
xK_HisenceWord.OneblockMainWord = MainWoidStr;
xK_HisenceWord.OneblockText = TextWoidStr;
SQLStr = SQlxK_HisenceWord.OneblockMainWord;
SQLStr = SQlxK_HisenceWord.OneblockText;
string SQLStr2 = SQlxK_HisenceWord.OneblockMainWord;
if (!saveimage)
{
OneIF = ManagerModelHelper.StrMatch2(xK_HisenceWord.OneblockMainWord, SQLStr);
if (!OneIF)
bool ssD = ManagerModelHelper.StrMatch(SQLStr, xK_HisenceWord.OneblockText);
Console.Write(SQLStr);
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.OneblockMainWord, SQLStr2);
if (!OneIF1 || !ssD)
{
OneIF = false;
//显示错误的板
DisplayResult(mLcut);
Defet_OnDetectionDone(mLcut.ResultMap.ToMat(), 1);
string Path_1 = Path.Combine("D:\\Hisence\\Test\\1\\ng", filenameone + "_res.png");
Cv2.ImWrite(Path_1, mLcut.ResultMap.ToMat());
}
else
{
OneIF = true;
Defet_OnDetectionDone(OKMat, 1);
string Path_2 = Path.Combine("D:\\Hisence\\Test\\1\\ok", filenameone + "_res.png");
Cv2.ImWrite(Path_2, OKMat);
}
}
@ -2881,7 +2948,7 @@ namespace HisenceYoloDetection
if (!saveimage)
{
SQLStr = SQlxK_HisenceWord.TwoblockMainWord;
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.TwoblockMainWord, SQlxK_HisenceWord.TwoblockMainWord);
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.TwoblockMainWord, SQlxK_HisenceWord.TwoblockMainWord);
OneIF1 = true;
//第二快 卷积匹配
string PathSql = SQlxK_HisenceWord.TwoblockPath;
@ -2890,7 +2957,7 @@ namespace HisenceYoloDetection
Rect rectsql = CheckDiffSciHelper.strChangeRect(SQlxK_HisenceWord.TwoRect);
Rect rectDet = CheckDiffSciHelper.strChangeRect(xK_HisenceWord.TwoRect);
juanjiMatch = CheckDiffSciHelper.CheckDiffSci(PathSql, CutBlockMat, rectsql, rectDet, (bool)SQlxK_HisenceWord.TwoIFWhile, "D://Hisence//Test");
// juanjiMatch = true;
// juanjiMatch = true;
if (!OneIF1 || !juanjiMatch)
{
@ -2916,16 +2983,26 @@ namespace HisenceYoloDetection
if (!saveimage)
{
SQLStr = SQlxK_HisenceWord.ThreeblockMainWord;
OneIF = ManagerModelHelper.StrMatch2(xK_HisenceWord.ThreeblockMainWord, SQlxK_HisenceWord.ThreeblockMainWord);
if (!OneIF)
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.ThreeblockMainWord, SQlxK_HisenceWord.ThreeblockMainWord);
Rect rect = new Rect(0, 0, 0, 0);
string PathSql = SQlxK_HisenceWord.ThreeblockPath;
juanjiMatch = CheckDiffSciHelper1.CheckDiffSci(PathSql, CutBlockMat, rect, rect, false, "D://Hisence//Test1");
if (!OneIF1 || !juanjiMatch)
{
OneIF = true;//待修改6.28
/*
DisplayResult(mLcut);
//显示错误的板
// mLcut.ResultMap;
Defet_OnDetectionDone(mLcut.ResultMap.ToMat(), 3);
*/
Defet_OnDetectionDone(OKMat, 3);
}
else
{
OneIF = true;
Defet_OnDetectionDone(OKMat, 3);
}
@ -2940,9 +3017,15 @@ namespace HisenceYoloDetection
if (!saveimage)
{
SQLStr = SQlxK_HisenceWord.FourblockMainWord;
OneIF = ManagerModelHelper.StrMatch2(xK_HisenceWord.FourblockMainWord, SQlxK_HisenceWord.FourblockMainWord);
if (!OneIF)
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.FourblockMainWord, SQlxK_HisenceWord.FourblockMainWord);
Rect rect = new Rect(0, 0, 0, 0);
string PathSql = SQlxK_HisenceWord.FourblockPath;
juanjiMatch = CheckDiffSciHelper.CheckDiffSci(PathSql, CutBlockMat, rect, rect, false, "D://Hisence//Test");
if (!OneIF1 || !juanjiMatch)
{
OneIF = false;
DisplayResult(mLcut);
//显示错误的板
// mLcut.ResultMap;
@ -2950,6 +3033,7 @@ namespace HisenceYoloDetection
}
else
{
OneIF = true;
Defet_OnDetectionDone(OKMat, 4);
}
@ -2964,9 +3048,14 @@ namespace HisenceYoloDetection
if (!saveimage)
{
SQLStr = SQlxK_HisenceWord.FiveblockMainWord;
OneIF = ManagerModelHelper.StrMatch2(xK_HisenceWord.FiveblockMainWord, SQlxK_HisenceWord.FiveblockMainWord);
if (!OneIF)
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.FiveblockMainWord, SQlxK_HisenceWord.FiveblockMainWord);
Rect rect = new Rect(0, 0, 0, 0);
string PathSql = SQlxK_HisenceWord.FiveblockMainWord;
juanjiMatch = CheckDiffSciHelper.CheckDiffSci(PathSql, CutBlockMat, rect, rect, false, "D://Hisence//Test");
if (!OneIF1 || !juanjiMatch)
{
OneIF = false;
DisplayResult(mLcut);
//显示错误的板
// mLcut.ResultMap;
@ -2974,6 +3063,7 @@ namespace HisenceYoloDetection
}
else
{
OneIF = true;
Defet_OnDetectionDone(OKMat, 5);
}
}
@ -2987,18 +3077,26 @@ namespace HisenceYoloDetection
if (!saveimage)
{
SQLStr = SQlxK_HisenceWord.SixblockMainWord;
OneIF = ManagerModelHelper.StrMatch2(xK_HisenceWord.SixblockMainWord, SQlxK_HisenceWord.SixblockMainWord);
if (!OneIF)
{
// DisplayResult(mLcut);
//显示错误的板
// mLcut.ResultMap;
Defet_OnDetectionDone(mLcut.ResultMap.ToMat(), 6);
}
else
{
Defet_OnDetectionDone(OKMat, 6);
}
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.SixblockMainWord, SQlxK_HisenceWord.SixblockMainWord);
Rect rect = new Rect(0, 0, 0, 0);
string PathSql = SQlxK_HisenceWord.SixblockPath;
juanjiMatch = CheckDiffSciHelper.CheckDiffSci(PathSql, CutBlockMat, rect, rect, false, "D://Hisence//Test");
if (!OneIF1 || !juanjiMatch)
if (!OneIF)
{
OneIF = false;
// DisplayResult(mLcut);
//显示错误的板
// mLcut.ResultMap;
Defet_OnDetectionDone(mLcut.ResultMap.ToMat(), 6);
}
else
{
OneIF = true;
Defet_OnDetectionDone(OKMat, 6);
}
}
}
@ -3011,9 +3109,14 @@ namespace HisenceYoloDetection
if (!saveimage)
{
SQLStr = SQlxK_HisenceWord.SevenblockMainWord;
OneIF = ManagerModelHelper.StrMatch2(xK_HisenceWord.SevenblockMainWord, SQlxK_HisenceWord.SevenblockMainWord);
if (!OneIF)
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.SevenblockMainWord, SQlxK_HisenceWord.SevenblockMainWord);
Rect rect = new Rect(0, 0, 0, 0);
string PathSql = SQlxK_HisenceWord.SevenblockPath;
juanjiMatch = CheckDiffSciHelper.CheckDiffSci(PathSql, CutBlockMat, rect, rect, false, "D://Hisence//Test");
if (!OneIF1 || !juanjiMatch)
{
OneIF = false;
//DisplayResult(mLcut);
//显示错误的板
// mLcut.ResultMap;
@ -3021,6 +3124,7 @@ namespace HisenceYoloDetection
}
else
{
OneIF = true;
Defet_OnDetectionDone(OKMat, 7);
}
}
@ -3034,9 +3138,14 @@ namespace HisenceYoloDetection
if (!saveimage)
{
SQLStr = SQlxK_HisenceWord.EightblockMainWord;
OneIF = ManagerModelHelper.StrMatch2(xK_HisenceWord.EightblockMainWord, SQlxK_HisenceWord.EightblockMainWord);
if (!OneIF)
bool OneIF1 = ManagerModelHelper.StrMatch2(xK_HisenceWord.EightblockMainWord, SQlxK_HisenceWord.EightblockMainWord);
Rect rect = new Rect(0, 0, 0, 0);
string PathSql = SQlxK_HisenceWord.EightblockPath;
juanjiMatch = CheckDiffSciHelper.CheckDiffSci(PathSql, CutBlockMat, rect, rect, false, "D://Hisence//Test");
if (!OneIF1 || !juanjiMatch)
{
OneIF = false;
// DisplayResult(mLcut);
//显示错误的板
// mLcut.ResultMap;
@ -3044,20 +3153,20 @@ namespace HisenceYoloDetection
}
else
{
OneIF = true;
Defet_OnDetectionDone(OKMat, 8);
}
}
}
break;
}
using (StreamWriter sw = new StreamWriter("D://Hisence//logsMatch.log", true))
string filename = dt.Year.ToString() + dt.Month.ToString() + dt.Day.ToString();
string txtLog = "D://Hisence//" + filename + "logsMatch.log";
using (StreamWriter sw = new StreamWriter(txtLog, 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");
if (blockIndex == "2")
{
sw.WriteLine("卷积匹配" + juanjiMatch);
}
sw.WriteLine("块" + blockIndex + "卷积匹配" + juanjiMatch);
sw.WriteLine("块" + blockIndex + "数据库" + SQLStr + "关键字" + MainWoidStr + "结果" + OneIF + "\n");
sw.WriteLine("块" + blockIndex + " 所有字 " + TextWoidStr + "\n");
@ -3109,5 +3218,15 @@ namespace HisenceYoloDetection
myLog("X轴停止归零", DateTime.Now);
}
}
private void handStopBtn_Click(object sender, EventArgs e)
{
melsecPLCTCPDriver.WriteInt("550", 1);
}
private void HandRuningBtn_Click(object sender, EventArgs e)
{
melsecPLCTCPDriver.WriteInt("550", 0);
}
}
}

2
HisenceYoloDetection/MainForm.resx
View File

@ -142,7 +142,7 @@
<value>733, 17</value>
</metadata>
<metadata name="$this.TrayHeight" type="System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089">
<value>31</value>
<value>25</value>
</metadata>
<assembly alias="System.Drawing" name="System.Drawing, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b03f5f7f11d50a3a" />
<data name="$this.Icon" type="System.Drawing.Icon, System.Drawing" mimetype="application/x-microsoft.net.object.bytearray.base64">

13
HisenceYoloDetection/ManagerModelHelper.cs
View File

@ -189,7 +189,7 @@ namespace HisenceYoloDetection
// 计算相似度（相似度等于1减去标准化的Levenshtein距离）
double similarity = 1 - ((double)distance / Math.Max(SqlText.Length, DetText.Length));
bool areEqual = false;
if (similarity < 0.5)
if (similarity < 0.9)
{
areEqual = false;
}
@ -227,10 +227,13 @@ namespace HisenceYoloDetection
}
static bool AreMoreThanHalfEqual(string[] array1, string[] array2)
{
string Sqltext = array1.Join("");
string Realtext = array2.Join("");
int io = 0;
foreach (string ch1 in array1)
foreach (char ch2 in Realtext)
{
foreach (string ch2 in array2)
foreach (char ch1 in Sqltext)
{
if (ch1 == ch2)
{
@ -249,7 +252,7 @@ namespace HisenceYoloDetection
//int intersectionCount = set1.Intersect(set2).Count();
// 判断交集数量是否超过一半
return io > array1.Length / 2;
return io >=Sqltext.Length / 2;
}
public static bool StrMatch2(string SqlText, string DetText)
{
@ -277,7 +280,7 @@ namespace HisenceYoloDetection
Console.WriteLine("字符串中不包含数字");
}
bool areEqual ;
if (numbers2.Length>2&& numbers.Length > 2)
if (numbers2.Length>0&& numbers.Length > 0)
{
areEqual = AreMoreThanHalfEqual(numbers, numbers2);
}