/// <summary>
/// Image Processing. It is done using OpenCVSharp Library.
/// </summary>
private void ProcessFrame(object sender, EventArgs e)
{
// increment counter
counter++;
videoInput.GetPixels(deviceID, frame.ImageData, false, !InvertVertical);
if (InvertHorizontal)
{
frame.Flip(frame, FlipMode.Y);
}
// convert to grayscale image
Cv.CvtColor(frame, grayFrame, ColorConversion.BgrToGray);
// apply force field transform
transformedFrame = ForceFieldTransform(grayFrame);
//Cv.Threshold(grayFrame, grayFrame, grayLowValue, 255, ThresholdType.Binary);
//Cv.CvtColor(grayFrame, frame, ColorConversion.GrayToBgr);
//Cv.Smooth(grayFrame, grayFrame, SmoothType.Gaussian, smoothGaussianValue);
// show image on the separate window
window.Image = transformedFrame;
}
private void CaptureMotion()
{
try
{
float wFactor = (float)this.Width / (float)CaptureBox.Width;
float hFactor = (float)this.Height / (float)CaptureBox.Height;
CvArr array = null;
CvCapture cap = CvCapture.FromCamera(CaptureDevice.Any);
this.Invoke(new Action(() =>
{
lblLoading.Visible = false;
GBBox.Visible = true;
CamBox.Visible = true;
RadarBox.Visible = true;
lblGhost.Visible = true;
GhostBox.Visible = true;
lblDescription.Visible = true;
CaptureBox.Visible = true;
}));
SoundTrack.Play();
SoundTrack = new SoundPlayer("Alarm.wav");
Thread.Sleep(3600);
while (true)
{
IplImage img = cap.QueryFrame();
if (img == null)
{
continue;
}
//int black = img
//if (black < 10)
//{
// MessageBox.Show("Please get off cameras' field of view and switch off the lights!", "Ghost Busters Cam");
// continue;
//}
img.Flip(array, FlipMode.Y);
string filepath = "haarcascade_frontalface_alt2.xml";
CvHaarClassifierCascade cascade = CvHaarClassifierCascade.FromFile(filepath);
CvSeq <CvAvgComp> faces = Cv.HaarDetectObjects(img, cascade, Cv.CreateMemStorage(), 3.0, 1,
HaarDetectionType.Zero, new CvSize(70, 70),
new CvSize(500, 500));
Bitmap Image = BitmapConverter.ToBitmap(img);
Image.SetResolution(240, 180);
this.Invoke(new Action(() =>
{
CaptureBox.Image = Image;
}));
foreach (CvAvgComp face in faces)
{
IplImage ClonedImage = img.Clone();
Cv.SetImageROI(ClonedImage, face.Rect);
IplImage ThisFace = Cv.CreateImage(face.Rect.Size, ClonedImage.Depth, ClonedImage.NChannels);
Cv.Copy(ClonedImage, ThisFace, null);
Cv.ResetImageROI(ClonedImage);
Bitmap GhostImage = BitmapConverter.ToBitmap(ThisFace);
GhostImage.SetResolution(114, 103);
img.DrawRect(face.Rect, CvColor.Red, 3);
Bitmap FaceImage = BitmapConverter.ToBitmap(img);
FaceImage.SetResolution(240, 180);
this.Invoke(new Action(() =>
{
AlertTimer.Enabled = true;
CaptureBox.Image = FaceImage;
GhostBox.Image = GhostImage;
}));
SoundTrack.Play();
Thread.Sleep(2500);
this.Invoke(new Action(() =>
{
AlertTimer.Enabled = false;
lblGhostAlert.Visible = false;
}));
SoundTrack.Stop();
break;
}
}
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}
private void CaptureMotion()
{
try
{
float wFactor = (float)this.Width / (float)CaptureBox.Width;
float hFactor = (float)this.Height / (float)CaptureBox.Height;
CvArr array = null;
CvCapture cap = CvCapture.FromCamera(CaptureDevice.Any);
this.Invoke(new Action(() =>
{
lblLoading.Visible = false;
radioButton1.Visible = true;
radioButton2.Visible = true;
}));
while (true)
{
IplImage img = cap.QueryFrame();
if (img == null)
{
continue;
}
img.Flip(array, FlipMode.Y);
if (mode == 1)
{
string filepath = "haarcascade_frontalface_alt2.xml";
CvHaarClassifierCascade cascade = CvHaarClassifierCascade.FromFile(filepath);
CvSeq <CvAvgComp> faces = Cv.HaarDetectObjects(img, cascade, Cv.CreateMemStorage(), 3.0, 1,
HaarDetectionType.Zero, new CvSize(70, 70),
new CvSize(500, 500));
foreach (CvAvgComp face in faces)
{
//IplImage ClonedImage = img.Clone();
//Cv.SetImageROI(ClonedImage, face.Rect);
//IplImage ThisFace = Cv.CreateImage(face.Rect.Size, ClonedImage.Depth, ClonedImage.NChannels);
//Cv.Copy(ClonedImage, ThisFace, null);
//Cv.ResetImageROI(ClonedImage);
//Bitmap FaceImage = BitmapConverter.ToBitmap(ThisFace);
//FaceImage.SetResolution(240, 180);
//CaptureBox.Image = FaceImage;
img.DrawRect(face.Rect, CvColor.Red, 3);
Bitmap FaceImage = BitmapConverter.ToBitmap(img);
FaceImage.SetResolution(240, 180);
CaptureBox.Image = FaceImage;
this.Invoke(new Action(() =>
{
LifeBox.Left = (int)(face.Rect.Left * wFactor - (float)(LifeBox.Width / 2.0) - (float)(this.Width / 2.0));
LifeBox.Top = (int)(face.Rect.Top * hFactor - (float)(LifeBox.Height / 2.0) - (float)(this.Height / 2.0));
if (LifeBox.Left > (this.Width - LifeBox.Width - 12))
{
LifeBox.Left = (this.Width - LifeBox.Width - 24);
}
if (LifeBox.Top > (this.Height - LifeBox.Height - 48))
{
LifeBox.Top = (this.Height - LifeBox.Height - 48);
}
if (LifeBox.Left < 12)
{
LifeBox.Left = 12;
}
if (LifeBox.Top < 12)
{
LifeBox.Top = 12;
}
Thread.Sleep(30);
}));
break;
}
}
else
{
int AllBlobs = 0;
CvBlobs blobs = null;
IplImage imgHSVsrc = Cv.CreateImage(Cv.GetSize(img), BitDepth.U8, 3);
IplImage imgHSVdst = Cv.CreateImage(Cv.GetSize(img), BitDepth.U8, 1);
Cv.CvtColor(img, imgHSVsrc, ColorConversion.BgrToHsv);
Cv.InRangeS(imgHSVsrc, new CvScalar(86, 80, 30), new CvScalar(115, 250, 250), imgHSVdst);
Cv.ReleaseImage(imgHSVsrc);
blobs = new CvBlobs(imgHSVdst);
blobs.FilterByArea(7000, 40000);
AllBlobs = blobs.Count;
foreach (KeyValuePair <int, CvBlob> blob in blobs)
{
CvBlob CurrentBlob = blob.Value;
CvRect BlobRect = CurrentBlob.Rect;
CvPoint Point1, Point2;
Point1.X = BlobRect.X;
Point1.Y = BlobRect.Y;
Point2.X = BlobRect.X + BlobRect.Width;
Point2.Y = BlobRect.Y + BlobRect.Height;
img.DrawRect(Point1, Point2, CvColor.LightGreen, 3, LineType.AntiAlias);
this.Invoke(new Action(() =>
{
LifeBox.Left = (int)(BlobRect.Left * wFactor - (float)(LifeBox.Width / 2.0) - (float)(this.Width / 2.0));
LifeBox.Top = (int)(BlobRect.Top * hFactor - (float)(LifeBox.Height / 2.0) - (float)(this.Height / 2.0));
if (LifeBox.Left > (this.Width - LifeBox.Width - 12))
{
LifeBox.Left = (this.Width - LifeBox.Width - 24);
}
if (LifeBox.Top > (this.Height - LifeBox.Height - 48))
{
LifeBox.Top = (this.Height - LifeBox.Height - 48);
}
if (LifeBox.Left < 12)
{
LifeBox.Left = 12;
}
if (LifeBox.Top < 12)
{
LifeBox.Top = 12;
}
Thread.Sleep(30);
}));
break;
}
Bitmap Item = BitmapConverter.ToBitmap(img);
Item.SetResolution(240, 180);
CaptureBox.Image = Item;
Bitmap HSVItem = BitmapConverter.ToBitmap(imgHSVdst);
HSVItem.SetResolution(240, 180);
HSVCaptureBox.Image = HSVItem;
Cv.ReleaseImage(imgHSVdst);
}
}
}
catch (Exception e)
{
Console.WriteLine("ERROR: " + e.Message + "DETAILS: " + e.StackTrace);
}
}
