private Bitmap ReadBitmap(string path)
{
if (path.EndsWith("pgm"))
{
return(PNM.ReadPNM(listdata[pathIndex].filePath) as Bitmap);
}
else
{
return(new Bitmap(listdata[pathIndex].filePath));
}
}
private void SetPathToWindow(TrainingData path)
{
FilePathValue.Text = path.filePath.Substring(path.filePath.LastIndexOf('\\') + 1);
currentData.filePath = path.filePath;
CBGender.SelectedValue = path.label;
Bitmap source;
if (currentData.filePath.EndsWith("pgm"))
{
Bitmap bmp = PNM.ReadPNM(currentData.filePath) as Bitmap;
ColorImage imgDetec = new ColorImage(bmp);
faces = _genderClassifier.GetFaces(imgDetec);
foreach (Rectangle face in faces)
{
imgDetec.Draw(face, new Emgu.CV.Structure.Bgr(System.Drawing.Color.AliceBlue), 1);
}
TBFaces.Text = string.Format("Faces: {0}", faces.Count);
source = imgDetec.ToBitmap();
}
else
{
BitmapImage bi3 = new BitmapImage();
bi3.BeginInit();
bi3.UriSource = new Uri(currentData.filePath, UriKind.Absolute);
bi3.EndInit();
ColorImage imgDetec = new ColorImage(bi3.ToBitmap());
faces = _genderClassifier.GetFaces(imgDetec);
foreach (Rectangle face in faces)
{
imgDetec.Draw(face, new Emgu.CV.Structure.Bgr(System.Drawing.Color.AliceBlue), 1);
}
TBFaces.Text = string.Format("Faces: {0}", faces.Count);
source = imgDetec.ToBitmap();
}
TBDimen.Text = string.Format("W: {0} H: {1}", (int)source.Width, (int)source.Height);
if (CBTrainer.IsChecked == true)
{
GrayImage img = new GrayImage(source);
img.Processing();
source = img.ToBitmap();
}
Photo.Source = source.ToBitmapImage();
}
