private void PreProcessImage(String tId)
{
// preprocess image to make it ready for FR
// windows bitmap to MAT for processing
cv::Mat imgProc = BitmapConverter.ToMat((Bitmap)imgOriginal.Image);
// load classifiers
String haarLocation = System.IO.Path.GetDirectoryName(Application.StartupPath) + "\\haar\\";
cv::CascadeClassifier faceC = new cv::CascadeClassifier(haarLocation + "haarcascade_frontalface_alt.xml");
cv::Rect[] faces;
faces = faceC.DetectMultiScale(imgProc, 1.1, 2, cv::HaarDetectionType.DoCannyPruning);
// find biggest detected face
int faceIdx = 0;
if (faces.Length >= 1)
{
// Largest Face Found
long size = 0; long max = 0;
for (int i = 0; i < faces.Length; i++)
{
size = faces[i].Height * faces[i].Width;
if (size > max)
{
max = size;
faceIdx = i;
}
}
cv::Mat imgResize = imgProc.Clone(faces[faceIdx]);
OpenCvSharp.Size newSize = new OpenCvSharp.Size(1280, 1280);
imgResize.Resize(newSize);
imgProcessed.Image = imgResize.ToBitmap();
imgProcessed.Update();
//imgOriginal.Refresh();
}
else
{
Console.WriteLine(String.Format("No Face Found TomisID {0}", tId));
//MessageBox.Show("No Face Found", "Search Result", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
}
private void BtnWebCamStart_Click(object sender, EventArgs e)
{
bool done = false;
this.Enabled = false;
this.Refresh();
cv::VideoCapture capDev = new cv::VideoCapture(0);
cv::Window vidPreview = new cv::Window("Video Preview");
cv::Mat imgRaw = new cv::Mat();
while (!done)
{
capDev.Read(imgRaw); // same as cvQueryFrame
if (!imgRaw.Empty())
{
vidPreview.ShowImage(imgRaw);
switch (cv::Cv2.WaitKey(100))
{
case 13:
imgOriginal.Image = imgRaw.ToBitmap();
done = true;
break;
case 27:
done = true;
break;
}
}
}
vidPreview.Close();
vidPreview.Dispose();
imgRaw.Dispose();
capDev.Dispose();
this.Enabled = true;
this.Refresh();
PreProcessImage("WebCam");
}