void timer_Tick(object sender, EventArgs e)
{
//Mat frame = _capture.QueryFrame();
Mat frame = CvInvoke.Imread(@"C:\Users\Merc.Mercury\Desktop\franks.png", Emgu.CV.CvEnum.ImreadModes.AnyColor);
if (frame != null)
{
Mat gray = new Mat();
CvInvoke.CvtColor(frame, gray, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
CvInvoke.EqualizeHist(gray, gray);
Rectangle[] faces = _cascade.DetectMultiScale(gray, 1.3, 3, new System.Drawing.Size(gray.Width / 30, gray.Height / 30), new System.Drawing.Size((int)((double)gray.Width / 1.05), (int)((double)gray.Height / 1.05)));
Thread oThread = new Thread(new ParameterizedThreadStart(priority_sort));
oThread.Start(faces);
foreach (Rectangle face in faces)
{
Emgu.CV.Structure.MCvScalar color = new Emgu.CV.Structure.MCvScalar(0, 0, 153);
CvInvoke.Rectangle(frame, face, color, 5);
}
CV_Output.Source = BitmapToImageSource(frame.Bitmap);
}
}
// 在攝影機畫面中，給被偵測到的臉部加上框，並且用字串把疼痛指數大小量視覺化
static void DrawFaceBox(Mat frameFaceBox, System.Drawing.Rectangle faceRect, double PSPI)
{
Emgu.CV.Structure.MCvScalar colorOrange = new Emgu.CV.Structure.MCvScalar(51, 150, 255);
System.Drawing.Point textPosition = new System.Drawing.Point(faceRect.X, faceRect.Y + 22 + faceRect.Size.Height);
String painNum = String.Format("PSPI={0:0.0}", PSPI);
String painLength = new string('*', Convert.ToInt32(PSPI >= 0 ? PSPI : 0));
CvInvoke.Rectangle(frameFaceBox, faceRect, colorOrange, 1);
CvInvoke.PutText(frameFaceBox, painNum, textPosition, Emgu.CV.CvEnum.FontFace.HersheyComplex, 1, colorOrange, 2);
textPosition.Y = faceRect.Y;
CvInvoke.PutText(frameFaceBox, painLength, textPosition, Emgu.CV.CvEnum.FontFace.HersheyComplex, 1, colorOrange, 2);
}
private List <double> CalculateDirection(Mat angle, Mat magnitude)
{
float PI = Math.PI.To <float>();
List <double> offsetSum = new List <double>();
Mat matX = new Mat();
Mat matY = new Mat();
CvInvoke.PolarToCart(magnitude, angle, matX, matY, true);
Emgu.CV.Structure.MCvScalar sumX = CvInvoke.Sum(matX);
Emgu.CV.Structure.MCvScalar sumY = CvInvoke.Sum(matY);
double x = sumX.V0;
double y = sumY.V0;
double scale = Math.Sqrt(x * x + y * y);
x /= scale;
y /= scale;
offsetSum.Add(x);
offsetSum.Add(y);
return(offsetSum);
}
private void btnPreview_Click(object sender, EventArgs e)
{
using (Mat drawingBoard = previewImage.Clone())
{
Emgu.CV.Structure.MCvScalar redColor = new Emgu.CV.Structure.MCvScalar(0, 0, 255);
// Draw detection fields on preview image and let user see it!
foreach (DetectionField f in detectionTemplate.Fields)
{
CvInvoke.Rectangle(drawingBoard, new Rectangle(f.TopLeft, f.Size), redColor);
for (int i = 1; i < f.NumOfCols; i++)
{
CvInvoke.Line(drawingBoard, new Point(f.TopLeft.X + f.Size.Width * i / f.NumOfCols, f.TopLeft.Y), new Point(f.TopLeft.X + f.Size.Width * i / f.NumOfCols, f.TopLeft.Y + f.Size.Height), redColor);
}
for (int i = 1; i < f.NumOfRows; i++)
{
CvInvoke.Line(drawingBoard, new Point(f.TopLeft.X, f.TopLeft.Y + f.Size.Height * i / f.NumOfRows), new Point(f.TopLeft.X + f.Size.Width, f.TopLeft.Y + f.Size.Height * i / f.NumOfRows), redColor);
}
}
Emgu.CV.UI.ImageViewer imv = new Emgu.CV.UI.ImageViewer(drawingBoard);
imv.Show();
}
}
public UMat DrawPatternRectangle(UMat image, float zoomRatio, Point aftZoomRoiLeftUpPt, Emgu.CV.Structure.MCvScalar color)
{
RectangleF patternRoiAftZoomF;
Rectangle patternRoiAftZoom;
Rectangle patternRoiInWindow;
patternRoiAftZoomF = new RectangleF(PatternRoi.X * zoomRatio, PatternRoi.Y * zoomRatio,
PatternRoi.Width * zoomRatio, PatternRoi.Height * zoomRatio);
patternRoiAftZoom = Rectangle.Round(patternRoiAftZoomF);
patternRoiInWindow = new Rectangle(patternRoiAftZoom.X - aftZoomRoiLeftUpPt.X, patternRoiAftZoom.Y - aftZoomRoiLeftUpPt.Y
, patternRoiAftZoom.Width, patternRoiAftZoom.Height);
if (new Rectangle(aftZoomRoiLeftUpPt, OwnerWindow.ClientSize).IntersectsWith(patternRoiAftZoom))
{
CvInvoke.Rectangle(image, patternRoiInWindow, color, 1);
CvInvoke.Line(image, new Point(patternRoiInWindow.Left, patternRoiInWindow.Top + patternRoiInWindow.Height / 2)
, new Point(patternRoiInWindow.Right, patternRoiInWindow.Top + patternRoiInWindow.Height / 2), color, 1);
CvInvoke.Line(image, new Point(patternRoiInWindow.Left + patternRoiInWindow.Width / 2, patternRoiInWindow.Top)
, new Point(patternRoiInWindow.Right - patternRoiInWindow.Width / 2, patternRoiInWindow.Bottom), color, 1);
CvInvoke.Line(image, new Point(patternRoiInWindow.Left, patternRoiInWindow.Top)
, new Point(patternRoiInWindow.Right, patternRoiInWindow.Bottom), color, 1);
CvInvoke.Line(image, new Point(patternRoiInWindow.Left, patternRoiInWindow.Bottom)
, new Point(patternRoiInWindow.Right, patternRoiInWindow.Top), color, 1);
}
return(image);
}
private void FindFaceFeatures()
{
Marshal.Copy(grayFrame.DataPointer, grayBytes, 0, img_size);
FindFaceEyesIrisAsync().ContinueWith((tsk) =>
{
RetrieveResult retrieveResult = tsk.Result;
if (retrieveResult == null)
{
Dispatcher.BeginInvoke((Action)(() =>
{
BitmapSource grayImage = BitmapSource.Create(
img_width, img_height,
96.0, 96.0, PixelFormats.Gray8,
new BitmapPalette(new System.Windows.Media.Color[] { System.Windows.Media.Color.FromRgb(0, 0, 0), System.Windows.Media.Color.FromRgb(255, 255, 255) }),
grayBytes, img_width);
resultWindow.SetResult(grayImage, grayImage);
lock (_locker)
{
isReady = true;
if ((capture.Grab() == false))
{
App.Current.Shutdown();
}
}
}), DispatcherPriority.Render);
return;
}
FaceRetrieveResult faceRetrieveResult = retrieveResult.Face;
EyeRetrieveResult eyeRetrieveResult = retrieveResult.Eye;
PupilRetrieveResult pupilRetrieveResult = retrieveResult.Pupil;
Emgu.CV.Structure.MCvScalar whiteColor = new Emgu.CV.Structure.MCvScalar(100, 255, 255);
Emgu.CV.Structure.MCvScalar redColor = new Emgu.CV.Structure.MCvScalar(100, 255, 100);
if (faceRetrieveResult.HasFace)
{
RECT face = faceRetrieveResult.Face;
CvInvoke.Rectangle(cameraFrame, face, whiteColor, 3);
if (eyeRetrieveResult.HasLeftEye)
{
RECT leftEye = eyeRetrieveResult.LeftEye;
CIRCLE leftPupil = pupilRetrieveResult.LeftPupil;
CvInvoke.Rectangle(cameraFrame, leftEye, whiteColor, 3);
CvInvoke.Circle(cameraFrame, leftPupil.Center, leftPupil.Radius, redColor, 2);
}
if (eyeRetrieveResult.HasRightEye)
{
RECT rightEye = eyeRetrieveResult.RightEye;
CIRCLE rightPupil = pupilRetrieveResult.RightPupil;
CvInvoke.Rectangle(cameraFrame, rightEye, whiteColor, 3);
CvInvoke.Circle(cameraFrame, rightPupil.Center, rightPupil.Radius, redColor, 2);
}
}
Dispatcher.BeginInvoke((Action)(() =>
{
OnFeatureRead(eyeRetrieveResult, pupilRetrieveResult);
BitmapSource grayImage = BitmapSource.Create(
img_width, img_height,
96.0, 96.0, PixelFormats.Gray8,
new BitmapPalette(new System.Windows.Media.Color[] { System.Windows.Media.Color.FromRgb(0, 0, 0), System.Windows.Media.Color.FromRgb(255, 255, 255) }),
grayBytes, img_width);
BitmapSource resultImage = Bitmap2BitmapImage(cameraFrame.Bitmap);
resultWindow.SetResult(grayImage, resultImage);
lock (_locker)
{
isReady = true;
if ((capture.Grab() == false))
{
App.Current.Shutdown();
}
}
}), DispatcherPriority.Render);
});
}
