/// <summary>
/// Worker thread for image processing.
/// </summary>
public void CvMainThread()
{
var faceCascade = new CascadeClassifier();
var eyesCascade = new CascadeClassifier();
faceCascade.load("haarcascade_frontalface_alt.xml");
eyesCascade.load("haarcascade_eye_tree_eyeglasses.xml");
var srcFrame = new Mat();
var dstFrame = new Mat();
var imgProc = new ImgProc();
_videoIo.StartCapture();
while (true)
{
_videoIo.GetFrame(srcFrame);
switch (_processingMethodIndex)
{
// passthrough
case 0:
break;
// gray
case 1:
imgProc.cvtColor(srcFrame, dstFrame, ColorConversionCodes.COLOR_RGBA2GRAY);
imgProc.cvtColor(dstFrame, srcFrame, ColorConversionCodes.COLOR_GRAY2RGB);
break;
// canny
case 3:
imgProc.cvtColor(srcFrame, dstFrame, cvRT.ColorConversionCodes.COLOR_RGBA2GRAY);
imgProc.GaussianBlur(dstFrame, dstFrame, new cvRT.Size(7, 7), 1.5, 1.5);
imgProc.Canny(dstFrame, dstFrame, 0, 30, 3);
imgProc.cvtColor(dstFrame, srcFrame, ColorConversionCodes.COLOR_GRAY2RGB);
break;
// contour
case 4:
{
var contours = new VectorOfVectorOfPoint();
var hierarchy = new VectorOfVec4i();
var color = new Scalar(255, 255, 255, 255);
imgProc.Canny(srcFrame, dstFrame, 100, 100 * 2, 3);
imgProc.FindContours(dstFrame, contours, hierarchy, ContourRetrievalAlgorithm.RETR_TREE, ContourApproximationModes.CHAIN_APPROX_SIMPLE, new Point(0, 0));
srcFrame.Set(new Scalar(0, 0, 0, 0));
for (var i = 0 ; i < contours.Count(); i++)
{
imgProc.DrawContours(srcFrame, contours, i, color, 2, 8, hierarchy, 0, new Point(0, 0));
}
break;
}
// face detect
case 5:
{
imgProc.cvtColor(srcFrame, dstFrame, ColorConversionCodes.COLOR_RGBA2GRAY);
imgProc.EqualizeHist(dstFrame, dstFrame);
// Faces in the frame.
var faces = new List<Rect>();
try
{
faces = new List<Rect>();
faceCascade.detectMultiScale(dstFrame, faces, 1.1, 2, (int)(0 | CV_HAAR.SCALE_IMAGE), new cvRT.Size(30, 30));
}
catch (Exception ex)
{
Debug.WriteLine("Exception {0}", ex.Message);
}
// For each face, detect the eyes
foreach (var face in faces)
{
// Draw ellipse for the face.
var faceCenter = new Point(face.X + face.Width / 2, face.Y + face.Height / 2);
imgProc.Ellipse(srcFrame, faceCenter, new cvRT.Size(face.Width / 2, face.Height / 2), 0, 0, 360, new Scalar(255, 0, 255, 0), 4, 8, 0);
// Detect the eyes for the face
var faceRoi = dstFrame.RectOfInterest(face);
var eyes = new List<Rect>();
eyesCascade.detectMultiScale(faceRoi, eyes, 1.1, 2, (int) (0 | CASCADE_FLAG.CASCADE_SCALE_IMAGE),new cvRT.Size(30, 30));
// Draw the eyes
foreach (var eye in eyes)
{
var eyeCenter = new Point(face.X + eye.X + eye.Width/2, face.Y + eye.Y + eye.Height/2);
var radius = (int) Math.Round((eye.Width + eye.Height) * 0.25);
imgProc.Circle(srcFrame, eyeCenter, radius, new Scalar(255, 0, 0, 0), 4, 8, 0);
}
}
break;
}
default:
break;
}
_videoIo.ShowFrame(srcFrame);
}
}
/// <summary>
/// Worker thread for image processing.
/// </summary>
public void CvMainThread()
{
var faceCascade = new CascadeClassifier();
var eyesCascade = new CascadeClassifier();
faceCascade.load("haarcascade_frontalface_alt.xml");
eyesCascade.load("haarcascade_eye_tree_eyeglasses.xml");
var srcFrame = new Mat();
var dstFrame = new Mat();
var imgProc = new ImgProc();
_videoIo.StartCapture();
while (true)
{
_videoIo.GetFrame(srcFrame);
switch (_processingMethodIndex)
{
// passthrough
case 0:
break;
// gray
case 1:
imgProc.cvtColor(srcFrame, dstFrame, ColorConversionCodes.COLOR_RGBA2GRAY);
imgProc.cvtColor(dstFrame, srcFrame, ColorConversionCodes.COLOR_GRAY2RGB);
break;
// canny
case 3:
imgProc.cvtColor(srcFrame, dstFrame, cvRT.ColorConversionCodes.COLOR_RGBA2GRAY);
imgProc.GaussianBlur(dstFrame, dstFrame, new cvRT.Size(7, 7), 1.5, 1.5);
imgProc.Canny(dstFrame, dstFrame, 0, 30, 3);
imgProc.cvtColor(dstFrame, srcFrame, ColorConversionCodes.COLOR_GRAY2RGB);
break;
// contour
case 4:
{
var contours = new VectorOfVectorOfPoint();
var hierarchy = new VectorOfVec4i();
var color = new Scalar(255, 255, 255, 255);
imgProc.Canny(srcFrame, dstFrame, 100, 100 * 2, 3);
imgProc.FindContours(dstFrame, contours, hierarchy, ContourRetrievalAlgorithm.RETR_TREE, ContourApproximationModes.CHAIN_APPROX_SIMPLE, new Point(0, 0));
srcFrame.Set(new Scalar(0, 0, 0, 0));
for (var i = 0; i < contours.Count(); i++)
{
imgProc.DrawContours(srcFrame, contours, i, color, 2, 8, hierarchy, 0, new Point(0, 0));
}
break;
}
// face detect
case 5:
{
imgProc.cvtColor(srcFrame, dstFrame, ColorConversionCodes.COLOR_RGBA2GRAY);
imgProc.EqualizeHist(dstFrame, dstFrame);
// Faces in the frame.
var faces = new List <Rect>();
try
{
faces = new List <Rect>();
faceCascade.detectMultiScale(dstFrame, faces, 1.1, 2, (int)(0 | CV_HAAR.SCALE_IMAGE), new cvRT.Size(30, 30));
}
catch (Exception ex)
{
Debug.WriteLine("Exception {0}", ex.Message);
}
// For each face, detect the eyes
foreach (var face in faces)
{
// Draw ellipse for the face.
var faceCenter = new Point(face.X + face.Width / 2, face.Y + face.Height / 2);
imgProc.Ellipse(srcFrame, faceCenter, new cvRT.Size(face.Width / 2, face.Height / 2), 0, 0, 360, new Scalar(255, 0, 255, 0), 4, 8, 0);
// Detect the eyes for the face
var faceRoi = dstFrame.RectOfInterest(face);
var eyes = new List <Rect>();
eyesCascade.detectMultiScale(faceRoi, eyes, 1.1, 2, (int)(0 | CASCADE_FLAG.CASCADE_SCALE_IMAGE), new cvRT.Size(30, 30));
// Draw the eyes
foreach (var eye in eyes)
{
var eyeCenter = new Point(face.X + eye.X + eye.Width / 2, face.Y + eye.Y + eye.Height / 2);
var radius = (int)Math.Round((eye.Width + eye.Height) * 0.25);
imgProc.Circle(srcFrame, eyeCenter, radius, new Scalar(255, 0, 0, 0), 4, 8, 0);
}
}
break;
}
default:
break;
}
_videoIo.ShowFrame(srcFrame);
}
}
