private void inputImage_MouseUp(object sender, MouseButtonEventArgs e)
{
inputImageCanvas.Children.Clear();
isSelecting = false;
endPos = new Point(Math.Min(e.GetPosition(inputImage).X, inputImage.Width),
Math.Min(e.GetPosition(inputImage).Y, inputImage.Height));
Console.WriteLine("UP!" + endPos);
int xRate = (int)(inputImage.Source.Width / inputImage.Width);
int yRate = (int)(inputImage.Source.Height / inputImage.Height);
selectingWindow = new System.Drawing.Rectangle(
(int)startPos.X * xRate, (int)startPos.Y * yRate,
(int)(endPos.X - startPos.X) * xRate, (int)(endPos.Y - startPos.Y) * yRate);
trackStart = true;
objTracking = null;
}
private void updateCamWorker(object sender, DoWorkEventArgs e)
{
using (Image <Bgr, Byte> frame = webcam.QueryFrame().Flip(Emgu.CV.CvEnum.FLIP.HORIZONTAL))
{
if (trackStart)
{
if (objTracking == null)
{
objTracking = new ObjectTracking(frame, selectingWindow);
}
else
{
System.Drawing.Rectangle result = objTracking.Tracking(frame);
frame.Draw(result, new Bgr(0, 255, 0), 3);
Dispatcher.Invoke(DispatcherPriority.Normal,
new Action(
delegate()
{
if (objTracking != null)
{
inputImage.Source = frame.ToBitmapSource();
hueImage.Source = objTracking.hue.ToBitmapSource();
backprojectImage.Source = objTracking.backproject.ToBitmapSource();
maskImage.Source = objTracking.mask.ToBitmapSource();
}
}
));
}
}
else
{
Dispatcher.Invoke(DispatcherPriority.Normal,
new Action(
delegate()
{
inputImage.Source = frame.ToBitmapSource();
}
));
}
}
}
private void Track_Click(object sender, RoutedEventArgs e)
{
trackStart = true;
objTracking = null;
flag_faceDected = true;
}
private void updateCamWorker(object sender, DoWorkEventArgs e)
{
Image <Bgr, Byte> frame_1 = new Image <Bgr, Byte>(showVideo());
using (Image <Bgr, Byte> frame = frame_1.Flip(Emgu.CV.CvEnum.FLIP.HORIZONTAL))
//using (Image<Bgr, Byte> frame = webcam.QueryFrame().Flip(Emgu.CV.CvEnum.FLIP.HORIZONTAL))
{
// 人脸检测
if (flag_faceDected)
{
/*
* Image<Gray, Byte> gray = frame.Convert<Gray, Byte>(); //Convert it to Grayscale
* gray._EqualizeHist();//均衡化
* HaarCascade ccr = new HaarCascade(haarXmlPath);
* MCvAvgComp[] rects = ccr.Detect(gray, 1.1, 2, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,new System.Drawing.Size(20,20),System.Drawing.Size.Empty);
* //MCvAvgComp[] rects = ccr.Detect(gray, 1.3, 3, new System.Drawing.Size(20, 20), System.Drawing.Size.Empty);
* foreach (MCvAvgComp r in rects)
* {
* //This will focus in on the face from the haar results its not perfect but it will remove a majoriy
* //of the background noise
* System.Drawing.Rectangle facesDetected = r.rect;
*
* frame.Draw(facesDetected, new Bgr(System.Drawing.Color.Red), 3);//绘制检测框
* Console.WriteLine("faceDected " + "(" + facesDetected.X + "," + facesDetected.Y + ")" + facesDetected.Width + " " + facesDetected.Height);
*
* selectingWindow = facesDetected;
* }
*/
frame.Save("0.jpg");
Process p = new Process();
p.StartInfo.FileName = "HumanDection.exe";
p.StartInfo.Arguments = "0.jpg seeta_fd_frontal_v1.0.bin";
p.StartInfo.WindowStyle = ProcessWindowStyle.Hidden;
p.Start();
p.WaitForExit();//关键，等待外部程序退出后才能往下执行
FileStream fs = new FileStream("face.txt", FileMode.Open, FileAccess.Read);
StreamReader sr = new StreamReader(fs);
string s = sr.ReadLine();
fs.Close();
string[] strs = s.Split(' ');
selectingWindow.X = int.Parse(strs[0]);
selectingWindow.Y = int.Parse(strs[1]);
selectingWindow.Width = int.Parse(strs[2]);
selectingWindow.Height = int.Parse(strs[3]);
frame.Draw(selectingWindow, new Bgr(System.Drawing.Color.Red), 3);//绘制检测框
flag_faceDected = false;
}
if (trackStart)
{
if (objTracking == null)
{
objTracking = new ObjectTracking(frame, selectingWindow);
}
else
{
System.Drawing.Rectangle result = objTracking.Tracking(frame, this);
frame.Draw(result, new Bgr(0, 255, 0), 3);
// 进行小车控制逻辑的编写
int imageWidth = frame.Width;
int imageHeight = frame.Height;
if (headImages >= 10)
{
ControlCar(result);
}
if (headImages++ >= 100000)
{
headImages = 100000;
}
Dispatcher.Invoke(DispatcherPriority.Normal,
new Action(
delegate()
{
if (objTracking != null)
{
inputImage.Source = frame.ToBitmapSource();
hueImage.Source = objTracking.hue.ToBitmapSource();
backprojectImage.Source = objTracking.backproject.ToBitmapSource();
maskImage.Source = objTracking.mask.ToBitmapSource();
}
}
));
}
}
else
{
Dispatcher.Invoke(DispatcherPriority.Normal,
new Action(
delegate()
{
inputImage.Source = frame.ToBitmapSource();
}
));
}
}
}