private void btnDetect_Click(object sender, EventArgs e)
{
btnDetect.Enabled = false;
List <string> errors = new List <string>();
if (image == null)
{
errors.Add("Please select Image");
}
string cascade = cbxHaarCascade.SelectedItem.ToString();
double scaleFactor = Convert.ToDouble(cbxScaleFactor.SelectedItem);
int minNeighbors = Convert.ToInt32(cbxMinNeighbors.SelectedItem);
HAAR_DETECTION_TYPE detectionType = (ckbDetectionType.Checked) ? HAAR_DETECTION_TYPE.DO_CANNY_PRUNING : HAAR_DETECTION_TYPE.DEFAULT;
int min = Convert.ToInt32(cbxMinimumSize.SelectedItem);
int max = Convert.ToInt32(cbxMaximumSize.SelectedItem);
if (max != 0 && max < min)
{
errors.Add("Maximum Size cannot be less than Minium Size");
}
if (errors.Count > 0)
{
MessageBox.Show(string.Join(Environment.NewLine, errors.ToArray()), "ERROR!", MessageBoxButtons.OK);
btnDetect.Enabled = true;
return;
}
try
{
Rectangle[] detected = Detector.Detect(image, cascade,
scaleFactor, minNeighbors,
detectionType,
min, max);
using (Image <Bgr, Byte> imageCopy = image.Copy())
{
foreach (Rectangle region in detected)
{
imageCopy.Draw(region, new Bgr(Color.Blue), 2);
}
imgResult.Image = imageCopy;
}
}
catch (Exception ex)
{
MessageBox.Show(ex.Message, "ERROR!", MessageBoxButtons.OK, MessageBoxIcon.Exclamation);
}
finally
{
btnDetect.Enabled = true;
}
}
public IList <RoI> DetectFaces(Image image, EnumDetectionType detectionType, double scale, int minNeighbors, Size minSize)
{
IList <RoI> rois = new List <RoI>();
// convert to openCV format
HAAR_DETECTION_TYPE detectionTypeOpenCV = EnumHelper.StringToEnum <HAAR_DETECTION_TYPE>(detectionType.ToString());
try
{
Image <Gray, byte> gray = new Image <Gray, byte>(new Bitmap(image));
//Face Detector
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
scale,
minNeighbors,
detectionTypeOpenCV,
minSize
);
// create a RoI object for every detected face
foreach (MCvAvgComp f in facesDetected[0])
{
RoI roi = new RoI();
roi.X = f.rect.X;
roi.Y = f.rect.Y;
roi.Width = f.rect.Width;
roi.Height = f.rect.Height;
rois.Add(roi);
}
}
catch
{
throw new FaceDetectionException("Error while detecting faces!");
}
return(rois);
}
public Detect(string faceFile, string eyeFile)
{
EyeCascade = new HaarCascade(eyeFile);
FaceCascade = new HaarCascade(faceFile);
detectType = HAAR_DETECTION_TYPE.DO_CANNY_PRUNING;
}
