天天向上

之前有寫過一篇關於如何將執行緒運算結果顯示於人機介面上?, 今天剛好找到一個不錯的範例How to: Make Thread-Safe Calls to Windows Forms Controls, Let’s cut to the chase and get started!======================================================================Access to Windows Forms controls is not inherently thread safe. If you have two or more threads manipulating the state of a control, it is possible to force the control into an inconsistent state. Other thread-related bugs are possible as well, including race conditions and deadlocks. It is important to ensure that access to your controls is done in a thread-safe way.更新控制元件與threrad safe觀念: 如果有兩個執行緒, 一個UI(主執行緒), 另一個或更多個使用者開的執行緒要更新控制元件上(windows Form, TextBox, Label,…), 有可能造成不相容狀況

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載入一張照片, 利用 InRange參數lower和higher顏色BGR上下限篩選感興趣區域, 得到一張遮罩m_img_inRange,再利用CvBlobDetector 進行Blob運算

 1: using Emgu.CV;

 2: using Emgu.CV.Cvb;

 3: using Emgu.CV.CvEnum;

 4: using Emgu.CV.Structure;

 5: using Emgu.CV.VideoSurveillance;

 6: using System.Diagnostics;

 7: using System.Threading;

 8:  

 9: private void CalInRange()

 10: {

 11: if (m_img_color == null) return;

 12: m_img_inRange = m_img_color.InRange(lower, higher);

 13: m_img_inRange_not = m_img_inRange.Not();

 14: using (CvBlobs blobs = new CvBlobs())

 15: {

 16: m_blobDetector.Detect(m_img_inRange, blobs);

 17: m_img_color_copy = m_img_color.Copy();

 18: foreach (var pair in blobs)

 19: {

 20: CvBlob b = pair.Value;

 21: CvInvoke.Rectangle(m_img_color_copy, b.BoundingBox, new MCvScalar(255.255, 255, 0), 5);

 22: //CvInvoke.PutText(frame, blob.ID.ToString(), Point.Round(blob.Center), FontFace.HersheyPlain, 1.0, new MCvScalar(255.0, 255.0, 255.0));

 23: }

 24:  

 25: imageBox1.Image = m_img_color_copy;

 26: imageBox2.Image = m_img_inRange;

 27: imageBox3.Image = m_img_inRange_not;

 28: }

 29: }

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1. 利用Canny Method 直線偵測2. 利用Hough Transform(霍夫轉換)來找線段候選人3. 利用 GetExteriorAngleDegree 計算目前線段(line)與自訂義水平線(otherline)的夾角

 1: private void CalExteriorAngles()

 2: {

 3: LineSegment2D[] lines = CvInvoke.HoughLinesP(

 4: m_img_thresh_gauss.Canny(100, 64),

 5: 1, //Distance resolution in pixel-related units

 6: Math.PI / 360.0, //Angle resolution measured in radians.

 7: 90, //threshold

 8: 140, //min Line width

 9: 120); //gap between lines

 10:  

 11: 

 12: Color[] colorArray = new Color[13] { Color.Red, Color.Green, Color.Blue, Color.Honeydew, Color.AliceBlue, 

 13: Color.AliceBlue, Color.Pink, Color.Indigo, Color.IndianRed, Color.GreenYellow,

 14: Color.Lavender, Color.LemonChiffon, Color.LightBlue};

 15: Random r = new Random();

 16: int ind;

 17: //double ramp;

 18: double theta = -1;

 19: int cnt = 0;

 20: m_img_copy = m_img_color.Copy();

 21: imageBox11.Image = m_img_copy;

 22: listBox1.Items.Clear();

 23: LineSegment2D otherline = new LineSegment2D();

 24: otherline.P1 = new Point(0, 0);

 25: otherline.P2 = new Point(m_img_gray.Width, 0);

 26: foreach (LineSegment2D line in lines)

 27: {

 28: ind = r.Next() % 11 +1;

 29: theta = line.GetExteriorAngleDegree(otherline);

 30:  

 31:  

 32: //this.Text = theta.ToString();

 33: //if (theta > 0)

 34: {

 35: m_img_copy.Draw(line, new Bgr(colorArray[ind]), 12);

 36: imageBox11.Image = m_img_copy;

 37: cnt++;

 38: listBox1.Items.Add(string.Format("#{0} Angle = {1:###.##}",cnt, theta));

 39: //imageBox11.Image = m_img_copy;

 40: Application.DoEvents();

 41: Thread.Sleep(2000);

 42: //if (cnt > 0) break;

 43: }

 44:  

 45: 

 46:  

 47:  

 48: }

 49: imageBox11.Image = m_img_copy;

 50: 

 51: //MessageBox.Show("Done");

 52: }

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新增專案名稱 “CameraCapture”加入 references Emgu.CV Emgu.CV.UI Emgu.Util from directory C:\Emgu\emgucv-windows-universal-cuda 3.0.0.2158\bin

 1: using System;

 2: using System.Collections.Generic;

 3: using System.ComponentModel;

 4: using System.Data;

 5: using System.Drawing;

 6: using System.Linq;

 7: using System.Text;

 8: using System.Windows.Forms;

 9:  

 10: using Emgu.CV;

 11: using Emgu.CV.CvEnum;

 12: using Emgu.CV.Structure;

 13: using Emgu.Util;

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以下為EMGU Multiple Face Recognition using PCA and Parallel Optimisation筆記在此, 我會試著用 libemgucv-windows-universal-cuda-2.4.10.1940版本測試, 因為在上去3.0版本並不支援FaceRecognizer==========================================================
如果你是第一次使用Emgu CV, 請參考Creating Your First EMGU Image Processing Project article人臉辨識是以Multiple face detection and recognition in real time為基礎

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以下是我研究這篇技術文件的筆記 Emgu CV -Select ROI (Region Of Interest) With Mouse C#
修改部分1. 多了一個影像備份(Clone), 加快裁剪的速度; 原作者是從檔案直接再讀一次, 當載入的圖片比較大(如8192x8192)時就會發現速度超慢!2. 下圖中最右邊, 裁剪的影像外框會有紅色ROI, 已經拿掉 展示人機介面如下:1. 先拉一個splitContainer(水平), 在拉兩個splitContainer(垂直)

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加入索引標籤, 輸入 EmguCV選擇項目.NET Framework元件頁面, 點選<瀏覽>C:\Emgu\emgucv-windows-universal-cuda 3.0.0.2158\bin選擇Emgu.Util.dll開啟後, 可以在EmguCV看到新增的四個.NET framework元件

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Emgu CV版本: libemgucv-windows-universal-cuda-3.0.0.2158

可參考: 安裝libemgucv-windows-universal-cuda-3.0.0.2131

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3xN陣列, 每一列的長度隨機

 1: int[][] x = new int[3][];

 2: Random r = new Random();

 3: for (int i = 0; i < x.Length; i++)

 4: {

 5: int len = r.Next() % 5 + 1;

 6: x[i] = new int[len];

 7: Console.WriteLine("i = {0}, len = {1}", i, len);

 8: for (int j = 0; j < x[i].Length; j++)

 9: {

 10: x[i][j] = r.Next() % 10;

 11: Console.WriteLine("x[{0}][{1}] = {2}", i, j, x[i][j]);

 12: }

 13: }

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1 public class iArray : IComparable
2 {
3 private int x, y;
4 public iArray()
5 {
6 x = 0; y = 0;
7 }
8 public iArray(int ix, int iy)
9 {
10 x = ix;
11 y = iy;
12 }
13 public void Show()
14 {
15 Console.WriteLine("({0}.{1})", x, y);
16 }
17 int IComparable.CompareTo(object obj)
18 {
19 iArray v = (iArray)obj;
20 return (x * x + y * y) - (v.x * v.x + v.y * v.y);
21 }
22 }

測試

1 class Program
2 {
3 static void Main(string[] args)
4 {
5 iArray[] vec = { new iArray(20, 10),
6 new iArray(50, 20),
7 new iArray(90, 40),
8 new iArray(10, 10),
9 new iArray(40, 30)};
10 Console.WriteLine("排序前...");
11 foreach (iArray v in vec)
12 {
13 v.Show();
14 }
15
16 Console.WriteLine("排序後(ascending)...");
17 Array.Sort(vec);
18 foreach (iArray v in vec)
19 {
20 v.Show();
21 }
22 Console.WriteLine("排序後(descending)...");
23 Array.Reverse(vec);
24 foreach (iArray v in vec)
25 {
26 v.Show();
27 }
28
29 Console.Read();
30 }
31 }

1 public class iArray : IComparable
2 {
3 private int x, y;
4 public iArray()
5 {
6 x = 0; y = 0;
7 }
8 public iArray(int ix, int iy)
9 {
10 x = ix;
11 y = iy;
12 }
13 public void Show()
14 {
15 Console.WriteLine("({0}.{1})", x, y);
16 }
17 int IComparable.CompareTo(object obj)
18 {
19 iArray v = (iArray)obj;
20 return (x * x + y * y) - (v.x * v.x + v.y * v.y);
21 }
22 }

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virtual 虛擬方法，若希望或預料到基礎類別的這個方法在將來的衍生類別中會被覆寫（override），則此方法必須被聲明為 virtual。

1 class Employee
2 {
3 protected int m_salary;
4 public virtual int Salary
5 {
6 get
7 {
8 return m_salary;
9 }
10 set
11 {
12 if (value >= 22000 & value <= 42000)
13 {
14 m_salary = value;
15 }
16 else
17 {
18 if (value < 22000)
19 m_salary = 22000;
20 else
21 m_salary = 42000;
22 }
23 }
24 }
25 public void showTotal()
26 {
27 Console.WriteLine("實領薪水{0}", m_salary);
28 }
29 }

Operator薪水繼承Employee, 基本上薪水上下限的規則不變(與父類別相同)

1 class Operator : Employee
2 {
3 public override int Salary
4 {
5 get
6 {
7 return base.Salary;
8 }
9 set
10 {
11 if (value >= 22000 & value <= 42000)
12 {
13 m_salary = value;
14 }
15 else
16 {
17 if (value < 22000)
18 m_salary = 22000;
19 else
20 m_salary = 42000;
21 }
22 }
23 }
24 }

1 class Operator : Employee
2 {
3 public override int Salary
4 {
5 get
6 {
7 return base.Salary;
8 }
9 set
10 {
11 base.Salary = value;
12 }
13 }
14 }

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