public static Image <Bgr, byte> ShuffledBoardPreview(int board_size, int[] board_config, Image <Bgr, byte>[] tiles, bool numbers = true, bool borders = true)
{
Image <Bgr, byte> shuffled = new Image <Bgr, byte>(board_size * tiles[0].Width, board_size * tiles[0].Height);
Rectangle rect = new Rectangle(0, 0, tiles[0].Width, tiles[0].Height);
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.5, 0.5);
//
for (int row = 0, index = 0; row < board_size; row++)
{
for (int col = 0; col < board_size; col++, index++)
{
if (board_config[index] < board_config.Length) // empty tile should not be drawn
{
CvInvoke.cvCopy(tiles[board_config[index] - 1], shuffled.GetSubRect(rect), IntPtr.Zero);
}
//
if (borders)
{
shuffled.Draw(rect, new Bgr(Color.Green), 2);
}
//
if (numbers)
{
shuffled.Draw(String.Format("{0,2:d}", board_config[index]), ref font,
new Point((int)(((double)col + 0.2) * rect.Width), (int)(((double)row + 0.6) * rect.Height)),
new Bgr(Color.Red));
}
//
rect.Offset(rect.Width, 0);
}
rect.Offset(-board_size * rect.Width, rect.Height);
}
//
return(shuffled);
}
static void Main(string[] args)
{
// 新建窗体的名称(类名、标题)
// 这个窗体与Console窗体不同，是一个独立的窗体
string windowName = "Hello World";
// 等价于OpenCV 中的 cvNamedWindow/ namedWindow
CvInvoke.cvNamedWindow(windowName);
// 泛型(模板), RGB彩色图像, 每个通道用一个Byte表示
// 初始化一个背景图像400*200大小，画刷颜色RGB(0,0,255)纯蓝色
Image <Bgr, Byte> image = new Image <Bgr, Byte>(400, 200, new Bgr(255, 0, 0));
// 创建字体，内置的script手写体，水平/垂直方向缩放比例为1.0和1.0
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_SCRIPT_COMPLEX, 1.0, 1.0);
// 在image图像上绘制消息字符串
string message = "Hello World";
// 方法Draw的多个重载版本之一:绘制字符串，起始位置(10,80)，颜色为纯白色
image.Draw(message, ref font, new Point(10, 80), new Bgr(255, 255, 255));
// 等价于cvShowImage/imshow
CvInvoke.cvShowImage(windowName, image);
// 等价于cvWaitKey/waitKey 等待按键输入，
// waitKey(0)表示接受输入后立即返回（执行后续语句）
CvInvoke.cvWaitKey(0);
// 销毁窗口(销毁的是cvNamedWindow所创建的，而不是Console窗口)
CvInvoke.cvDestroyWindow(windowName);
// 销毁窗口后程序执行完毕退出(Console窗口也自然关闭了)
}
private static void ProcessFrame(object sender, EventArgs e)
{
detectedFaces.Clear();
//Get Current Frame
currentFrame = Capture.QueryFrame();
Image <Gray, byte> grayFrame = currentFrame.Convert <Gray, byte>();
//Detect Faces in current frame
FaceDetection.Detect(grayFrame, detectedFaces);
Description = "";
String name = "";
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
foreach (var box in detectedFaces)
{
//Recognize each face
name = FaceRecognition.Recognize(grayFrame, box, 2000);
//Draw box and name Around Face
currentFrame.Draw(box, new Bgr(Color.Blue), 2);
currentFrame.Draw(name, ref font, new Point(box.Left + 5, box.Bottom - 5), new Bgr(Color.Aqua));
Description += name + " ";
}
Count = detectedFaces.Count;
//Display current frame
Count = detectedFaces.Count;
ImageBoxOutput.Image = currentFrame;
}
private void YokalmaSistemi_Load(object sender, EventArgs e)
{
Capture capture1 = new Capture();
capture1.Start();
if (capture1 == null)
{
MessageBox.Show("Kamera Açılamadı");
}
else
{
capture1.ImageGrabbed += (a, b) =>
{
var image = capture1.RetrieveBgrFrame();
var grayimage1 = image.Convert <Gray, byte>();
HaarCascade haaryuz = new HaarCascade("haarcascade_frontalface_default.xml");
MCvAvgComp[][] Yuzler = grayimage1.DetectHaarCascade(haaryuz, 1.2, 5, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(15, 15));
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.5, 0.5);
foreach (MCvAvgComp yuz in Yuzler[0])
{
var sadeyuz = grayimage1.Copy(yuz.rect).Convert <Gray, byte>().Resize(100, 100, INTER.CV_INTER_CUBIC);
pic_kucuk_res.Image = sadeyuz.ToBitmap();
if (train.IsTrained)
{
name = train.Recognise(sadeyuz);
int match_value = (int)train.Get_Eigen_Distance;
image.Draw(name + " ", ref font, new Point(yuz.rect.X - 2, yuz.rect.Y - 2), new Bgr(Color.SteelBlue));
}
image.Draw(yuz.rect, new Bgr(Color.Purple), 2);
// textBox1.Text = name;
}
pic_kamera.Image = image.ToBitmap();
};
}
}
private void StartScanning()
{
Application.Idle += new EventHandler(delegate(object senders, EventArgs ee)
{
var mat = cap.QueryFrame();
Bitmap bitmap = mat.Bitmap;
Image <Gray, byte> img = new Image <Gray, byte>(bitmap);
MCvAvgComp[][] rectangles = img.DetectHaarCascade(_cascadeClassifier, 1.2, 0, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new System.Drawing.Size(20, 20));
foreach (var rect in rectangles[0])
{
mat.Draw(rect.rect, new Bgr(255, 0, 0), 2);
img = new Image <Gray, byte>(bitmap);
string name = FaceRecognition(img);
MCvFont mCvFont = new MCvFont(FONT.CV_FONT_HERSHEY_PLAIN, 20, 20);
label1.Text = name;
//break;
}
imageBox1.Image = mat;
});
}
public void TestBlobTracking()
{
Capture capture = new Capture();
ImageViewer viewer = new ImageViewer();
BlobTrackerAutoParam <Gray> param = new BlobTrackerAutoParam <Gray>();
//param.BlobDetector = new BlobDetector(Emgu.CV.CvEnum.BLOB_DETECTOR_TYPE.CC);
param.FGDetector = new FGDetector <Gray>(Emgu.CV.CvEnum.FORGROUND_DETECTOR_TYPE.FGD);
//param.BlobTracker = new BlobTracker(Emgu.CV.CvEnum.BLOBTRACKER_TYPE.CCMSPF);
param.FGTrainFrames = 10;
BlobTrackerAuto <Gray> tracker = new BlobTrackerAuto <Gray>(param);
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 1.0, 1.0);
Application.Idle += new EventHandler(delegate(object sender, EventArgs e)
{
tracker.Process(capture.QuerySmallFrame().PyrUp().Convert <Gray, Byte>());
Image <Gray, Byte> img = tracker.ForgroundMask;
//viewer.Image = tracker.GetForgroundMask();
foreach (MCvBlob blob in tracker)
{
img.Draw(Rectangle.Round(blob), new Gray(255.0), 2);
img.Draw(blob.ID.ToString(), ref font, Point.Round(blob.Center), new Gray(255.0));
}
viewer.Image = img;
});
viewer.ShowDialog();
}
public ImageViewer(ImageItem imageItem)
{
InitializeComponent();
Image <Bgr, Byte> image = new Image <Bgr, byte>(imageItem.Path);
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 0.5, 0.5);
if (imageItem.Objects != null)
{
int objectTypeIndex = 0;
foreach (var objects in imageItem.Objects)
{
int index = 1;
foreach (var subject in objects)
{
Rectangle rect = subject.Rect;
PointF[] pts = new PointF[]
{
new PointF(rect.Left, rect.Bottom),
new PointF(rect.Right, rect.Bottom),
new PointF(rect.Right, rect.Top),
new PointF(rect.Left, rect.Top)
};
image.DrawPolyline(Array.ConvertAll <PointF, Point>(pts, Point.Round), true, new Bgr(Color.Red), 2);
image.Draw(string.Format("{0} {1}", imageItem.Labels[objectTypeIndex], index), ref font, new Point(rect.Left, Math.Max(0, rect.Top - 4)), new Bgr(Color.Red));
++index;
}
++objectTypeIndex;
}
}
pictureBox.Image = image.ToBitmap();
}
public FormManualTrain(Form1 frm1)
{
InitializeComponent();
browseImage = new OpenFileDialog();
_form1 = frm1;
eigenRecog = new Classifier_Train();
face = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
mydb = new DBConn();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
if (File.ReadAllText("setting.txt") != null)
{
folderPath = File.ReadAllText("setting.txt");
}
else
{
FolderBrowserDialog b = new FolderBrowserDialog();
b.Description = "Please select your installation path";
DialogResult r = b.ShowDialog();
if (r == DialogResult.OK) // Test result.
{
folderPath = b.SelectedPath;
Console.WriteLine(folderPath);
File.WriteAllText(@"setting.txt", folderPath);
MessageBox.Show("Path is at " + folderPath);
}
}
}
public void Camera()
{
Capture capture = new Capture();
capture.Start();
var step = "0s";
HaarCascade haareyes = new HaarCascade("haarcascade_eye.xml");
capture.ImageGrabbed += (x, y) =>
{
var image = capture.RetrieveBgrFrame();
if (image != null)
{
var grayimage = image.Convert <Gray, byte>();
MCvAvgComp[][] eyes = grayimage.DetectHaarCascade(haareyes, 1.2, 10, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(15, 15));
foreach (MCvAvgComp hEye in eyes[0])
{
image.Draw(hEye.rect, new Bgr(Color.Blue), 1);
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.3, 0.3);
image.Draw("Goz", ref font, new Point(hEye.rect.X, hEye.rect.Y), new Bgr(Color.Yellow));
imagepicture.LoadAsync("C:\\Users\\EysanGuc\\source\\repos\\Shy-Panda\\Shy-Panda\\Image\\Shy_panda.png");
step = "1";
}
}
if (step != "1")
{
imagepicture.LoadAsync("C:\\Users\\EysanGuc\\source\\repos\\Shy-Panda\\Shy-Panda\\Image\\panda_dance.gif");
}
FaceImagepicture.Image = image.ToBitmap();
step = "";
};
}
//////////////////////////////////////////////////////
// E T I Q U E T A D O //
//////////////////////////////////////////////////////
public Image <Bgr, byte> etiquetarDebug()
{
Bitmap mapa = printBW();
Emgu.CV.Image <Gray, Byte> img = new Image <Gray, Byte>(mapa);
Emgu.CV.Image <Bgr, Byte> imgColor = new Image <Bgr, Byte>(mapa);
double tamanoplaneta = mapa.Size.Height * mapa.Size.Width;
double umbralcontinente = tamanoplaneta * 0.015;
double umbralislita = tamanoplaneta * 0.000008;
Regiones = new HashSet <Masslabelling.Region>();
Regiones = Mass.GetRegions(img, TIPOREGION.TIERRA, umbralcontinente);
//Emgu.CV.Structure.MIplImage image = img.MIplImage;
MCvFont fuente = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX_SMALL, 0.5, 0.5);
Parallel.ForEach <Masslabelling.Region>(Regiones, (region) =>
{
if (region.Area > umbralislita)
{
imgColor.Draw(region.Marco.ToRect(), new Bgr(region.Col), 2);
imgColor.Draw(region.Nombre, ref fuente, region.Marco.Location, new Bgr(region.Col));
imgColor.Draw(new CircleF(region.Centroide, 1), new Bgr(region.Col), 2);
}
});
return(imgColor);
}
//display and check the Bomb
private void displayBomb()
{
// defing the font variable used to write on top of the image
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_DUPLEX, 1d, 1d);
MCvFont fontSmall = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, .25d, .5d);
Image <Gray, byte> temp;
BombList[0] = (new CircleData(new CircleF(new PointF(XYCoordinatesOfBomb[0, 0], XYCoordinatesOfBomb[0, 1]), 10), new Gray(255), 20));
InputImageFrame.Draw(BombList[0].circle, new Bgr(0, 0, 255), BombList[0].thickness);
InputImageFrame.Draw("BOMB!", ref fontSmall, new Point(XYCoordinatesOfBomb[0, 0] - 20, XYCoordinatesOfBomb[0, 1] + 5), new Bgr(Color.Blue));
BombFrame = new Image <Gray, byte>(640, 480, new Gray(1));
BombFrame.Draw(BombList[0].circle, new Gray(255), 20);
temp = BombFrame.And(DifferenceFrame);
temp = temp.ThresholdBinary(new Gray(240), new Gray(255));
int number = temp.CountNonzero()[0];
if (number != 0)
{
NumberOfHits -= 1;
InputImageFrame.Draw(new CircleF(new PointF(XYCoordinatesOfBomb[0, 0], XYCoordinatesOfBomb[0, 1]), 10), new Bgr(0, 0, 0), 50);
InputImageFrame.Draw("Oops!", ref font, new Point(XYCoordinatesOfBomb[0, 0] - 40, XYCoordinatesOfBomb[0, 1] + 10), new Bgr(Color.White));
}
}
private void Form1_Load(object sender, EventArgs e)
{
Capture capture = new Capture();
capture.Start();
capture.ImageGrabbed += (a, b) =>
{
var image = capture.RetrieveBgrFrame();
var grayimage = image.Convert <Gray, byte>();
HaarCascade haaryuz = new HaarCascade("haarcascade_frontalface_alt2.xml");
MCvAvgComp[][] Yuzler = grayimage.DetectHaarCascade(haaryuz, 1.2, 5, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(15, 15));
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.5, 0.5);
foreach (MCvAvgComp yuz in Yuzler[0])
{
var sadeyuz = grayimage.Copy(yuz.rect).Convert <Gray, byte>().Resize(100, 100, INTER.CV_INTER_CUBIC);
//Resimler aynı boyutta olmalıdır. O yüzden Resize ile yeniden boyutlandırma yapılmıştır. Aksi taktirde Classifier_Train sınıfının 245. satırında hata alınacaktır.
pictureBox2.Image = sadeyuz.ToBitmap();
if (train != null)
{
if (train.IsTrained)
{
string name = train.Recognise(sadeyuz);
int match_value = (int)train.Get_Eigen_Distance;
image.Draw(name + " ", ref font, new Point(yuz.rect.X - 2, yuz.rect.Y - 2), new Bgr(Color.LightGreen));
label1.Text = name;
}
}
image.Draw(yuz.rect, new Bgr(Color.Red), 2);
}
yuz = label1.Text;
pictureBox1.Image = image.ToBitmap();
};
}
// function to check a valid hit in the program
private void CheckForAHit()
{
Image <Gray, byte> temp;
for (int i = 0; i < NumberOfBalls; i++)
{
temp = Balls[i].And(DifferenceFrame);
temp = temp.ThresholdBinary(new Gray(240), new Gray(255));
int number = temp.CountNonzero()[0];
if (number != 0)
{
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_DUPLEX, 1d, 1d);
MCvFont fontSmall = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, .25d, .5d);
NumberOfHits++;
Score++;
bomb = new NAudio.Wave.WaveFileReader(Constants.BOMB_EXPLOSION_FILE_LOC);
//TODO: move the initlization out and make sure that only once the init happens
output = new NAudio.Wave.DirectSoundOut();
output.Init(new NAudio.Wave.WaveChannel32(bomb));
Random r = new Random();
InputImageFrame.Draw(new CircleF(new PointF(XYCoordinatesOfBalls[i, 0], XYCoordinatesOfBalls[i, 1]), 10), new Bgr(r.Next(0, 255), 0, 255), 50);
InputImageFrame.Draw("Hit", ref font, new Point(XYCoordinatesOfBalls[i, 0] - 20, XYCoordinatesOfBalls[i, 1] + 10), new Bgr(Color.White));
generateXYCoordiantesForBall(i);
}
}
if (output != null)
{
output.Play();
}
}
public void ProcessFrame(object sender, EventArgs arg)
{
Image <Bgr, Byte> frame = _capture.RetrieveBgrFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_LINEAR).Copy();;
int detected_human = 0;
long processingTime;
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX_SMALL, 0.6, 0.7);
List <Rectangle> dataBound = new List <Rectangle>();
List <string> dataTrain = new List <string>();
string fileSawi = "D:\\sawi.txt";
Size winSizeSawi = new Size(64, 128);
Rectangle[] resultCabinet = findObject.findObjects(frame, out processingTime, winSizeSawi, fileSawi);
foreach (Rectangle rect in resultCabinet)
{
++detected_human;
frame.Draw(rect, new Bgr(Color.Red), 2);
Point HOGLocation = rect.Location;
X = HOGLocation.X;
Y = HOGLocation.Y;
frame.Draw("[" + detected_human + "]" + "botol", ref f, new Point(rect.Left, rect.Top - 5), new Bgr(Color.Yellow));
}
imageBox1.Image = frame;
}
private void Draw321OnScreen()
{
//TODO : use a better font
MCvFont largeFont = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 4d, 4d);
if (processingStarted == false)
{
NumberOfHits = 0;
timeStamp = 1;
processingStarted = true;
}
// TODO : use better fonts
switch (timeStamp)
{
case 1:
InputImageFrame.Draw("3", ref largeFont, new Point(280, 240), new Bgr(Color.Red));
break;
case 2:
InputImageFrame.Draw("2", ref largeFont, new Point(280, 240), new Bgr(Color.Yellow));
break;
case 3:
InputImageFrame.Draw("1", ref largeFont, new Point(280, 240), new Bgr(Color.Green));
break;
default:
ready = true;
break;
}
}
public OgrKayit()
{
InitializeComponent();
updateComboBoxClass();
Capture capture = new Capture();
capture.Start();
if (capture == null)
{
MessageBox.Show("Kamera Açılamadı");
}
else
{
capture.ImageGrabbed += (a, b) =>
{
var image = capture.RetrieveBgrFrame();
var grayimage = image.Convert <Gray, byte>();
HaarCascade haaryuz = new HaarCascade("haarcascade_frontalface_default.xml");
MCvAvgComp[][] Yuzler = grayimage.DetectHaarCascade(haaryuz, 1.2, 5, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(15, 15));
MCvFont font = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 0.5, 0.5);
foreach (MCvAvgComp yuz in Yuzler[0])
{
var sadeyuz = grayimage.Copy(yuz.rect).Convert <Gray, byte>().Resize(100, 100, INTER.CV_INTER_CUBIC);
image.Draw(yuz.rect, new Bgr(Color.Red), 2);
pic_kucuk_res.Image = sadeyuz.ToBitmap();
}
pic_box_kamera.Image = image.ToBitmap();
};
}
}
public void GenerateLogo()
{
Image <Bgr, Byte> semgu = new Image <Bgr, byte>(160, 72, new Bgr(0, 0, 0));
Image <Bgr, Byte> scv = new Image <Bgr, byte>(160, 72, new Bgr(0, 0, 0));
MCvFont f1 = new MCvFont(CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 1.5, 1.5);
MCvFont f2 = new MCvFont(CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 1.6, 2.2);
semgu.Draw("Emgu", ref f1, new Point(6, 50), new Bgr(55, 155, 255));
semgu._Dilate(1);
scv.Draw("CV", ref f2, new Point(50, 60), new Bgr(255, 55, 255));
scv._Dilate(2);
Image <Bgr, Byte> logoBgr = semgu.Or(scv);
Image <Gray, Byte> logoA = new Image <Gray, byte>(logoBgr.Width, logoBgr.Height);
logoA.SetValue(255, logoBgr.Convert <Gray, Byte>());
logoBgr._Not();
logoA._Not();
Image <Gray, Byte>[] channels = logoBgr.Split();
channels = new Image <Gray, byte>[] { channels[0], channels[1], channels[2], new Image <Gray, Byte>(channels[0].Width, channels[0].Height, new Gray(255.0)) };
Image <Bgra, Byte> logoBgra = new Image <Bgra, byte>(channels);
logoBgra.SetValue(new Bgra(0.0, 0.0, 0.0, 0.0), logoA);
logoBgra.Save("EmguCVLogo.gif");
Image <Bgr, Byte> bg_header = new Image <Bgr, byte>(1, 92);
for (int i = 0; i < 92; i++)
{
bg_header[i, 0] = new Bgr(210, 210 - i * 0.4, 210 - i * 0.9);
}
bg_header.Save("bg_header.gif");
}
public static void drawString(string content, Image <Bgr, byte> image, System.Drawing.Point bottomleft, double size, Color color)
{
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, size, size);
f.thickness = 1;
image.Draw(content, ref f, bottomleft, new Bgr(color));
}
public Form1()
{
InitializeComponent();
face = new HaarCascade("haarcascade_frontalface_default.xml");
calcface = new HaarCascade("haarcascade_frontalface_default.xml");
eyeWithGlass = new CascadeClassifier("haarcascade_eye_tree_eyeglasses.xml");
nose = new CascadeClassifier("haarcascade_mcs_nose.xml");
mouth = new CascadeClassifier("haarcascade_mcs_mouth.xml");
mydb = new DBConn();
recogNameResult = new List <string>();
recogDistanceResult = new List <double>();
minEye = new Size(10, 10);
maxEye = new Size(225, 225);
minNose = new Size(10, 10);
maxNose = new Size(225, 225);
minMouth = new Size(10, 10);
maxMouth = new Size(225, 225);
font = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
//log record
DateTime now = DateTime.Now;
logName = now.ToString();
logName = logName.Replace("/", "").Replace(":", "").Replace(" ", "");
}
private void DrawText(string text, int x, int y, MCvFont font)
{
CvInvoke.cvPutText(imageToDisplay.Ptr,
text,
new Point(x, y),
ref font,
new Gray(grayLevel).MCvScalar);
}
public void setUp()
{
if ((UnitTestSettings.RENDER_UNIT_TEST_IMAGES) && (_visualDisplay != null))
{
_displayImages = true;
_visualDisplay.setVisible(true);
_font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 1.0, 1.0);
}
}
private void image1_Initialized(object sender, EventArgs e)
{
Image <Bgr, Byte> image = new Image <Bgr, byte>(400, 100, new Bgr(255, 255, 255));
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 3.0, 3.0);
image.Draw("Hello, world", ref f, new System.Drawing.Point(10, 50), new Bgr(255.0, 0.0, 0.0));
image1.Source = BitmapSourceConvert.ToBitmapSource(image);
}
public void DrawTime()
{
TimeSpan ts = TimeSpan.FromMilliseconds(CurrentTimePosition);
string time = string.Format("{0:D2}:{1:D2}:{2:D2}:{3:D3} ", ts.Hours, ts.Minutes, ts.Seconds, ts.Milliseconds);
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_COMPLEX, 0.5, 0.5);
Size textSize = f.GetTextSize(time, 0);
CurrentFrame.Draw(time, ref f, new Point(CurrentFrame.Width - textSize.Width - 10, CurrentFrame.Height - textSize.Height - 10), new Bgr(0, 0, 255));
}
private int DrawAndComputeFingersNum()
{
int fingerNum = 0;
#region hull drawing
//for (int i = 0; i < filteredHull.Total; i++)
//{
// PointF hullPoint = new PointF((float)filteredHull[i].X,
// (float)filteredHull[i].Y);
// CircleF hullCircle = new CircleF(hullPoint, 4);
// currentFrame.Draw(hullCircle, new Bgr(Color.Aquamarine), 2);
//}
#endregion
#region defects drawing
for (int i = 0; i < defects.Total; i++)
{
PointF startPoint = new PointF((float)defectArray[i].StartPoint.X,
(float)defectArray[i].StartPoint.Y);
PointF depthPoint = new PointF((float)defectArray[i].DepthPoint.X,
(float)defectArray[i].DepthPoint.Y);
PointF endPoint = new PointF((float)defectArray[i].EndPoint.X,
(float)defectArray[i].EndPoint.Y);
LineSegment2D startDepthLine = new LineSegment2D(defectArray[i].StartPoint, defectArray[i].DepthPoint);
LineSegment2D depthEndLine = new LineSegment2D(defectArray[i].DepthPoint, defectArray[i].EndPoint);
CircleF startCircle = new CircleF(startPoint, 5f);
CircleF depthCircle = new CircleF(depthPoint, 5f);
CircleF endCircle = new CircleF(endPoint, 5f);
//Custom heuristic based on some experiment, double check it before use
if ((startCircle.Center.Y < box.center.Y || depthCircle.Center.Y < box.center.Y) && (startCircle.Center.Y < depthCircle.Center.Y) && (Math.Sqrt(Math.Pow(startCircle.Center.X - depthCircle.Center.X, 2) + Math.Pow(startCircle.Center.Y - depthCircle.Center.Y, 2)) > box.size.Height / 6.5))
{
fingerNum++;
currentFrame.Draw(startDepthLine, new Bgr(Color.Green), 2);
//currentFrame.Draw(depthEndLine, new Bgr(Color.Magenta), 2);
}
currentFrame.Draw(startCircle, new Bgr(Color.Red), 2);
currentFrame.Draw(depthCircle, new Bgr(Color.Yellow), 5);
//currentFrame.Draw(endCircle, new Bgr(Color.DarkBlue), 4);
}
#endregion
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_DUPLEX, 5d, 5d);
currentFrame.Draw(fingerNum.ToString(), ref font, new Point(50, 150), new Bgr(Color.White));
return(fingerNum);
}
public Image <Bgr, Byte> GrabFrame()
{
Image <Bgr, Byte> img = new Image <Bgr, byte>(300, 300, new Bgr(255, 255, 255));
MCvFont f = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_PLAIN, 1.0, 1.0);
String str = DateTime.Now.Ticks.ToString();
img.Draw(str, ref f, new System.Drawing.Point(50, 150), new Bgr(0, 0, 0));
return(img);
}
public FaceRecognition()
{
usersImages = new List <Image <Gray, byte> >();
usersIds = new List <String>();
font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_TRIPLEX, 0.6d, 0.6d);
faceHaarCascase = new HaarCascade(pathToHaarCascade);
GetAllRegisteredUsersInfo();
}
public void DrawMeasurements(int x, int y, double dist, double pfc,
MCvScalar color, Image <Bgr, Byte> src)
{
// Measurement text content, position, and font
string text_size, text_posn, text_pfc, text_dist;
Point point_size, point_posn, point_pfc, point_dist;
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_SIMPLEX, 0.5, 0.5);
// Fill size string
text_size = "Size (pix): ";
text_size += Convert.ToString(CvInvoke.cvGetSize(src).Width);
text_size += ", ";
text_size += Convert.ToString(CvInvoke.cvGetSize(src).Height);
// Start position, pfc, and distance strings
text_posn = "Position (pix): ";
text_pfc = "PFC (pix): ";
text_dist = "Distance (cm): ";
// If the laser point WAS found
if ((x > 0) && (y > 0))
{
// Fill position string
text_posn += Convert.ToString(x);
text_posn += ", ";
text_posn += Convert.ToString(y);
// Fill pfc string
text_pfc += Convert.ToString(pfc);
// Fill distance string
text_dist += String.Format("{0:F1}", dist);
}
// If the laser pointer was NOT found
else
{
// Fill measurement strings with NULL readings
text_posn += "NULL, NULL";
text_pfc += "NULL";
text_dist += "NULL";
}
// Initialize text position
point_size = new Point(10, 400);
point_posn = new Point(10, 420);
point_pfc = new Point(10, 440);
point_dist = new Point(10, 460);
// Draw text on image
CvInvoke.cvPutText(src, text_size, point_size, ref font, color);
CvInvoke.cvPutText(src, text_posn, point_posn, ref font, color);
CvInvoke.cvPutText(src, text_pfc, point_pfc, ref font, color);
CvInvoke.cvPutText(src, text_dist, point_dist, ref font, color);
}
/// <summary>
///hàm vẽ và đếm số lượng ngón tay
/// </summary>
private void DrawAndComputeFingersNum()
{
int fingerNum = 0;
#region defects drawing
for (int i = 0; i < defects.Total; i++)
{
// khởi tạo 3 điểm startpoint , depthpoint và endpoint của convexity defect
// hàm PointF(single,single) để khởi tạo 1 điểm với các tọa độ cụ thể
PointF startPoint = new PointF((float)defectArray[i].StartPoint.X,
(float)defectArray[i].StartPoint.Y);
PointF depthPoint = new PointF((float)defectArray[i].DepthPoint.X,
(float)defectArray[i].DepthPoint.Y);
PointF endPoint = new PointF((float)defectArray[i].EndPoint.X,
(float)defectArray[i].EndPoint.Y);
// hàm LineSegment2D(Point2D<T>, Point2D<T>) để tạo 1 đoạn thẳng với điểm đầu và điểm cuối cụ thể ?
LineSegment2D startDepthLine = new LineSegment2D(defectArray[i].StartPoint, defectArray[i].DepthPoint);
LineSegment2D depthEndLine = new LineSegment2D(defectArray[i].DepthPoint, defectArray[i].EndPoint);
// hàm CircleF(PointF, Single) để tạo 1 vòng tròn với bán kính cụ thể
CircleF startCircle = new CircleF(startPoint, 5f);
CircleF depthCircle = new CircleF(depthPoint, 5f);
CircleF endCircle = new CircleF(endPoint, 5f);
// nếu đoạn nối giữa start point và end point đủ lớn thì sẽ được tính là 1 ngón tay
if ((startCircle.Center.Y < box.center.Y || depthCircle.Center.Y < box.center.Y) && (startCircle.Center.Y < depthCircle.Center.Y) && (Math.Sqrt(Math.Pow(startCircle.Center.X - depthCircle.Center.X, 2) + Math.Pow(startCircle.Center.Y - depthCircle.Center.Y, 2)) > box.size.Height / 6.5))
{
fingerNum++;
// vẽ đoạn màu da cam để xác định số ngón tay từ startpoint đến depthpoint
currentFrame.Draw(startDepthLine, new Bgr(Color.Orange), 2);
}
currentFrame.Draw(startCircle, new Bgr(Color.Red), 2); // start point bieu dien bang nốt màu đỏ
currentFrame.Draw(depthCircle, new Bgr(Color.Yellow), 5); // depthpoint biểu diễn bằng nốt màu vàng
}
#endregion
// hàm MCvFont(FONT, Double, Double) để tạo phông chữ (hiể thị số lượng ngón tay), quy mô theo chiều ngang và dọc
MCvFont font = new MCvFont(Emgu.CV.CvEnum.FONT.CV_FONT_HERSHEY_DUPLEX, 5d, 5d);
currentFrame.Draw(fingerNum.ToString(), ref font, new Point(50, 150), new Bgr(Color.Black));
}
private void DrewCloseCircle(ref Image <Bgr, Byte> src, CircleF closeCircle, Color color, int yshift = 0)
{
if (color == null)
{
color = Color.Yellow;
}
MCvFont mCvFont = new MCvFont(FONT.CV_FONT_HERSHEY_COMPLEX, 1, 1);
src.Draw(closeCircle, new Bgr(color), 1);
src.Draw(new Cross2DF(closeCircle.Center, 20, 20), new Bgr(Color.Tomato), 1);
src.Draw(closeCircle.Radius.ToString(), ref mCvFont, new Point((int)closeCircle.Center.X + 20, (int)closeCircle.Center.Y + 50 * yshift), new Bgr(Color.Yellow));
}
public frmLogin()
{
InitializeComponent();
fuente = new MCvFont(FONT.CV_FONT_HERSHEY_TRIPLEX, 0.5d, 0.5d);
gris = null;
listaEntranamientoImagen = new List<Image<Gray, byte>>();
listaEtiqueta = new List<string>();
objCon = new clsConexion();
liveCam.ImageLocation = "img/default.png";
rostro = new HaarCascade("haarcascade_frontalface_default.xml"); //cargo la deteccion de rostros por cascada
cargarDatos();
}
