void repeat1(PictureBox p, string url, int framenum)
{
while (true)
{
framenum++;
WebRequest requestPic = WebRequest.Create(url);
WebResponse responsePic = requestPic.GetResponse();
if (framenum % 3 == 0)
{
classification s = new classification(p, Image.FromStream(responsePic.GetResponseStream()));
lock (this)
{
Thread.Sleep(3);
mynewframe dm = new mynewframe(loadmyvideo);
IAsyncResult m = dm.BeginInvoke(s, null, null);
p.Image = dm.EndInvoke(m);
}
}
else
{
p.Image = Image.FromStream(responsePic.GetResponseStream());
}
}
}
private Bitmap loadmyvideo(Object s)
{
classification n = (classification)s;
currentFrame = new Image <Bgr, Byte>((Bitmap)n.myimg);
if (currentFrame != null)
{
Image <Gray, byte> Grayframe = currentFrame.Convert <Gray, byte>();//.Flip(Emgu.CV.CvEnum.FLIP.HORIZONTAL);
var faces = Grayframe.DetectHaarCascade(Haar, 1.2, 8, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(pictureBox1.Height / 10, pictureBox1.Width / 10))[0];
var faces2 = Grayframe.DetectHaarCascade(Haar2, 1.2, 8, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(pictureBox1.Height / 10, pictureBox1.Width / 10))[0];
var faces3 = Grayframe.DetectHaarCascade(Haar3, 1.2, 8, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(pictureBox1.Height / 10, pictureBox1.Width / 10))[0];
bool x = false, y = false;
foreach (var face in faces)
{
currentFrame.Draw(face.rect, new Bgr(Color.Red), 2);
result = currentFrame.Copy(face.rect).Convert <Gray, byte>().Resize(50, 50, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
x = true;
}
if (x)
{
String name = "";
foreach (MCvAvgComp f in faces)
{
if (trainingImages.ToArray().Length != 0)
{
MCvTermCriteria termCrit = new MCvTermCriteria(counter, .001);
EigenObjectRecognizer recognizer = new EigenObjectRecognizer(trainingImages.ToArray(), labels.ToArray(), 2000, ref termCrit);
name = recognizer.Recognize(result);
currentFrame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.GreenYellow));
if (name.Equals("unknown"))
{
player.Play();
}
}
}
}
if (!x)
{
foreach (var face in faces2)
{
currentFrame.Draw(face.rect, new Bgr(Color.Red), 2);
result = currentFrame.Copy(face.rect).Convert <Gray, byte>().Resize(50, 50, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
y = true;
}
if (y)
{
String name1 = "";
foreach (MCvAvgComp f in faces2)
{
if (trainingImages.ToArray().Length != 0)
{
MCvTermCriteria termCrit = new MCvTermCriteria(counter, .001);
EigenObjectRecognizer recognizer = new EigenObjectRecognizer(trainingImages.ToArray(), labels.ToArray(), 2000, ref termCrit);
name1 = recognizer.Recognize(result);
currentFrame.Draw(name1, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.GreenYellow));
if (name1.Equals("unknown"))
{
//System.Media.SoundPlayer player = new System.Media.SoundPlayer(@"alarm.wav");
player.Play();
}
}
}
}
bool z = false;
if (!y)
{
foreach (var face in faces3)
{
currentFrame.Draw(face.rect, new Bgr(Color.Red), 2);
result = currentFrame.Copy(face.rect).Convert <Gray, byte>().Resize(50, 50, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
z = true;
}
}
if (z)
{
String name = "";
foreach (MCvAvgComp f in faces3)
{
if (trainingImages.ToArray().Length != 0)
{
MCvTermCriteria termCrit = new MCvTermCriteria(counter, .001);
EigenObjectRecognizer recognizer = new EigenObjectRecognizer(trainingImages.ToArray(), labels.ToArray(), 2000, ref termCrit);
name = recognizer.Recognize(result);
currentFrame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.GreenYellow));
if (name.Equals("unknown"))
{
// System.Media.SoundPlayer player = new System.Media.SoundPlayer(@"alarm.wav");
player.Play();
}
}
}
}
}
}
return(currentFrame.Bitmap);
}
