public void ProcessFrameForPicture()
{
if (PictureForm.image == null)
{
return;
}
CascadeClassifier _cascadeClassifier;
_cascadeClassifier = new CascadeClassifier(Application.StartupPath + "/haarcascade_frontalface_default.xml");
using (var imageFrame = PictureForm.image)
{
if (imageFrame != null)
{
var grayframe = imageFrame.Convert <Gray, Byte>();
var faces = _cascadeClassifier.DetectMultiScale(grayframe, 1.1, 10, Size.Empty); //the actual face detection happens here
foreach (var face in faces)
{
Image <Bgr, byte> faceImage = imageFrame.Copy(face);
faceImage = ImageHandler.ResizeImage(faceImage);
var grayFace = faceImage.Convert <Gray, Byte>();
var result = Recognizer.RecognizeFace(grayFace);
if (result > 0)
{
List <String> names = new List <String>();
var personsDataQuery = from p in FirstPageView.persons select new { p.Name };
foreach (var person in personsDataQuery)
{
names.Add(person.Name);
}
string name = names.ElementAt(result - 1);
CvInvoke.PutText(imageFrame, name, new Point(face.Location.X + 10,
face.Location.Y - 10), Emgu.CV.CvEnum.FontFace.HersheyComplex, 1.0, new Bgr(0, 255, 0).MCvScalar);
}
imageFrame.Draw(face, new Bgr(Color.BurlyWood), 3); //the detected face(s) is highlighted here using a box that is drawn around it/them
}
}
picBox.Image = imageFrame;
}
}
private async void PlayVideo()
{
if (videocapture == null)
{
return;
}
CascadeClassifier _cascadeClassifier;
_cascadeClassifier = new CascadeClassifier(Application.StartupPath + "/haarcascade_frontalface_default.xml");
try
{
while (IsPlaying == true && CurrentFrameNo < TotalFrames)
{
videocapture.SetCaptureProperty(Emgu.CV.CvEnum.CapProp.PosFrames, CurrentFrameNo);
videocapture.Read(CurrentFrame);
Image <Bgr, byte> imageFrame = CurrentFrame.ToImage <Bgr, Byte>(); // convert Mat to Emgu.CV.IImage
if (imageFrame != null)
{
var grayframe = imageFrame.Convert <Gray, Byte>();
var faces = _cascadeClassifier.DetectMultiScale(grayframe, 1.1, 10, Size.Empty); //the actual face detection happens here
foreach (var face in faces)
{
Image <Bgr, byte> faceImage = imageFrame.Copy(face);
faceImage = ImageHandler.ResizeImage(faceImage);
var grayFace = faceImage.Convert <Gray, Byte>();
var result = Recognizer.RecognizeFace(grayFace);
if (result != 0)
{
List <String> names = new List <String>();
var personsDataQuery = from p in FirstPageView.persons select new { p.Name };
foreach (var person in personsDataQuery)
{
names.Add(person.Name);
}
string name = names.ElementAt(result - 1);
Emgu.CV.CvInvoke.PutText(imageFrame, name, new Point(face.Location.X + 10,
face.Location.Y - 10), Emgu.CV.CvEnum.FontFace.HersheyComplex, 1.0, new Bgr(0, 255, 0).MCvScalar);
}
//imageFrame.Draw(face, new Bgr(Color.BurlyWood), 3); //the detected face(s) is highlighted here using a box that is drawn around it/them
}
}
CurrentFrame = imageFrame.Mat; // convert Emgu.CV.IImage back to Mat
pictureBox1.Image = CurrentFrame.Bitmap; // convert Mat to Bitmap
trackBar1.Value = CurrentFrameNo;
CurrentFrameNo += 1;
await Task.Delay(1000 / FPS);
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
if (CurrentFrameNo == TotalFrames - 1)
{
CurrentFrameNo = 0;
}
}
