private void ProcessFrame(object sender, EventArgs arg)
{
if (_capture != null && _capture.Ptr != IntPtr.Zero)
{
_capture.Retrieve(_frame, 0);
}
}
private void M_capture_ImageGrabbed(object sender, EventArgs e)
{
// Console.WriteLine("test: " + startIndex.ToString());
// startIndex++;
destin = SaveRecordingLocation_textbox.Text;
if (fileChanged)
{
// destin = SaveRecordingLocation_textbox.Text;
totalFrames = m_capture.GetCaptureProperty(Emgu.CV.CvEnum.CapProp.FrameCount);
fps = m_capture.GetCaptureProperty(Emgu.CV.CvEnum.CapProp.Fps);
int fourcc = Convert.ToInt32(m_capture.GetCaptureProperty(Emgu.CV.CvEnum.CapProp.FourCC));
int frameHeight = Convert.ToInt32(m_capture.GetCaptureProperty(Emgu.CV.CvEnum.CapProp.FrameHeight));
int frameWidth = Convert.ToInt32(m_capture.GetCaptureProperty(Emgu.CV.CvEnum.CapProp.FrameWidth));
string destination = destin + i + ".avi";
videoWriter = new Emgu.CV.VideoWriter(destination, Emgu.CV.VideoWriter.Fourcc('I', 'Y', 'U', 'V'), fps, new System.Drawing.Size(frameWidth, frameHeight), true);
fileChanged = false;
}
Emgu.CV.Mat m = new Emgu.CV.Mat();
m_capture.Retrieve(m);
// pictureBox1.Image = m.ToImage<Bgr, byte>().Bitmap;
videoWriter.Write(m);
//throw new NotImplementedException();
}
private void Capture_ImageGrabbed(object sender, EventArgs e)
{
ActFrame = Convert.ToInt32(capture.GetCaptureProperty(CapProp.PosFrames));
capture.Retrieve(Frame);
//ProcessFrame(frame);
ProcessFrameBallSearch(Frame);
}
private void Capture_ImageGrabbed(object sender, EventArgs e)
{
capture = (sender as VideoCapture);
if (capture != null)
{
capture.Retrieve(currentFrame);
imagesCircQ.Enqueue(currentFrame);
areGetNewImage.Set();
}
}
private void Grab()
{
Mat mat = new Mat();
capture.Grab();
capture.Retrieve(mat);
if (rec != null && !mat.Size.IsEmpty)
{
rec.Invoke(mat);
}
}
private void ImageReceived(object sender, EventArgs e)
{
try
{
Mat frame = new Mat(); //Matrix to save the picture
capture.Retrieve(frame, 0); //retrieve the picture to the matrinx
Image <Bgr, byte> image = frame.ToImage <Bgr, byte>();
var imgBytes = image.ToJpegData();
var img = (Bitmap)((new ImageConverter().ConvertFrom(imgBytes)));
pictureBox1.Image = img;
}
catch (Exception)
{
throw;
}
}
private void Capture_ImageGrabbed(object sender, EventArgs e)
{
try
{
Emgu.CV.Mat frame = new Emgu.CV.Mat();
if (capture.Retrieve(frame))
{
Emgu.CV.Mat grayFrame = new Emgu.CV.Mat();
Emgu.CV.CvInvoke.CvtColor(frame, grayFrame, Emgu.CV.CvEnum.ColorConversion.Bgr2Gray);
Rectangle[] faces = emguFaceClassifier.DetectMultiScale(grayFrame, ScaleFactor, Neighbors);
foreach (var face in faces)
{
Emgu.CV.CvInvoke.Rectangle(frame, face, new MCvScalar(0, 0, 255));
}
//ImageSource = ToBitmapSource(currentFrame);
//Bitmap bmi = frame.ToBitmap();
//ImageSource = ToBitmapImage(bmi);
}
}
catch (Exception ex)
{
}
}
/*
public void TestGpuVibe()
{
int warmUpFrames = 20;
GpuVibe<Gray> vibe = null;
Image<Gray, Byte> mask = null;
using (ImageViewer viewer = new ImageViewer()) //create an image viewer
using (Capture capture = new Capture()) //create a camera captue
{
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{
//run this until application closed (close button click on image viewer)
using(Image<Bgr, byte> frame = capture.RetrieveBgrFrame(0))
using (CudaImage<Bgr, byte> gpuFrame = new CudaImage<Bgr, byte>(frame))
using (CudaImage<Gray, Byte> gpuGray = gpuFrame.Convert<Gray, Byte>())
{
if (warmUpFrames > 0)
{
warmUpFrames--;
return;
}
if (vibe == null)
{
vibe = new GpuVibe<Gray>(1234567, gpuGray, null);
return;
}
else
{
vibe.Apply(gpuGray, null);
if (mask == null)
mask = new Image<Gray, byte>(vibe.ForgroundMask.Size);
vibe.ForgroundMask.Download(mask);
viewer.Image = frame.ConcateHorizontal(mask.Convert<Bgr, Byte>()); //draw the image obtained from camera
}
}
};
capture.Start();
viewer.ShowDialog(); //show the image viewer
}
}
public void TestGpuBackgroundModel()
{
int warmUpFrames = 20;
int totalFrames = 0;
//CudaBackgroundSubtractorMOG2<Bgr> bgModel = null;
//CudaBackgroundSubtractorMOG<Bgr> bgModel = null;
CudaBackgroundSubtractorGMG<Bgr> bgModel = null;
//CudaBackgroundSubtractorFGD<Bgr> bgModel = null;
Image<Gray, Byte> mask = null;
using (ImageViewer viewer = new ImageViewer()) //create an image viewer
using (Capture capture = new Capture()) //create a camera captue
{
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{
//run this until application closed (close button click on image viewer)
totalFrames++;
if (viewer != null && !viewer.IsDisposed)
{
if (viewer.InvokeRequired)
{
viewer.Invoke((Action)delegate { viewer.Text = String.Format("Processing {0}th frame.", totalFrames); });
}
else
{
viewer.Text = String.Format("Processing {0}th frame.", totalFrames);
}
}
using (Image<Bgr, byte> frame = capture.RetrieveBgrFrame(0))
using (CudaImage<Bgr, byte> gpuFrame = new CudaImage<Bgr, byte>(frame))
{
if (warmUpFrames > 0)
{
warmUpFrames--;
return;
}
if (bgModel == null)
{
//bgModel = new CudaBackgroundSubtractorMOG2<Bgr>(500, 16, true);
//bgModel = new CudaBackgroundSubtractorMOG<Bgr>(200, 5, 0.7, 0);
bgModel = new CudaBackgroundSubtractorGMG<Bgr>(120, 0.8);
bgModel.Apply(gpuFrame, -1.0f, null);
//bgModel = new CudaBackgroundSubtractorFGD<Bgr>(128, 15, 25, 64, 25, 40, true, 1, 0.1f, 0.005f, 0.1f, 2.0f, 0.9f, 15.0f);
//bgModel.Apply(gpuFrame, -1.0f);
return;
}
else
{
bgModel.Apply(gpuFrame, -1.0f, null);
//bgModel.Apply(gpuFrame, -1.0f);
if (mask == null)
mask = new Image<Gray, byte>(bgModel.ForgroundMask.Size);
bgModel.ForgroundMask.Download(mask);
Image<Bgr, Byte> result = frame.ConcateHorizontal(mask.Convert<Bgr, Byte>());
if (viewer != null && !viewer.IsDisposed)
{
if (viewer.InvokeRequired)
{
viewer.Invoke((Action)delegate { viewer.Image = result; });
}
else
{
viewer.Image = result; //draw the image obtained from camera
}
}
}
}
};
capture.Start();
viewer.ShowDialog(); //show the image viewer
}
}*/
public void CameraTest()
{
using (ImageViewer viewer = new ImageViewer()) //create an image viewer
using (VideoCapture capture = new VideoCapture()) //create a camera captue
{
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{ //run this until application closed (close button click on image viewer)
Mat m = new Mat();
capture.Retrieve(m);
viewer.Image = m; //draw the image obtained from camera
};
capture.Start();
viewer.ShowDialog(); //show the image viewer
}
}
/*
public void TestCodeBookBGModel()
{
using (Capture capture = new Capture())
using (BGCodeBookModel<Bgr> model = new BGCodeBookModel<Bgr>())
{
ImageViewer viewer = new ImageViewer();
Image<Gray, byte> fgMask = capture.QueryFrame().Convert<Gray, Byte>();
Application.Idle += delegate(Object sender, EventArgs args)
{
Mat frame = capture.QueryFrame();
model.Apply(frame);
viewer.Image = model.ForegroundMask;
};
viewer.ShowDialog();
}
}
public void TestBlobTracking()
{
MCvFGDStatModelParams fgparam = new MCvFGDStatModelParams();
fgparam.alpha1 = 0.1f;
fgparam.alpha2 = 0.005f;
fgparam.alpha3 = 0.1f;
fgparam.delta = 2;
fgparam.is_obj_without_holes = 1;
fgparam.Lc = 32;
fgparam.Lcc = 16;
fgparam.minArea = 15;
fgparam.N1c = 15;
fgparam.N1cc = 25;
fgparam.N2c = 25;
fgparam.N2cc = 35;
fgparam.perform_morphing = 0;
fgparam.T = 0.9f;
BlobTrackerAutoParam<Bgr> param = new BlobTrackerAutoParam<Bgr>();
param.BlobDetector = new BlobDetector(Emgu.CV.CvEnum.BlobDetectorType.CC);
param.FGDetector = new FGDetector<Bgr>(Emgu.CV.CvEnum.ForgroundDetectorType.Fgd, fgparam);
param.BlobTracker = new BlobTracker(Emgu.CV.CvEnum.BLOBTRACKER_TYPE.MSFG);
param.FGTrainFrames = 10;
BlobTrackerAuto<Bgr> tracker = new BlobTrackerAuto<Bgr>(param);
//MCvFont font = new MCvFont(Emgu.CV.CvEnum.FontFace.HersheySimplex, 1.0, 1.0);
using(ImageViewer viewer = new ImageViewer())
using (Capture capture = new Capture())
{
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{
tracker.Process(capture.RetrieveBgrFrame());
//Image<Bgr, Byte> img = capture.RetrieveBgrFrame();
Image<Bgr, Byte> img = tracker.ForegroundMask.Convert<Bgr, Byte>();
foreach (MCvBlob blob in tracker)
{
img.Draw((Rectangle)blob, new Bgr(255.0, 255.0, 255.0), 2);
img.Draw(blob.ID.ToString(), Point.Round(blob.Center), CvEnum.FontFace.HersheySimplex, 1.0, new Bgr(255.0, 255.0, 255.0));
}
viewer.Image = img;
};
capture.Start();
viewer.ShowDialog();
}
}*/
public void TestCvBlob()
{
//MCvFont font = new MCvFont(Emgu.CV.CvEnum.FontFace.HersheySimplex, 0.5, 0.5);
using (CvTracks tracks = new CvTracks())
using (ImageViewer viewer = new ImageViewer())
using (VideoCapture capture = new VideoCapture())
using (Mat fgMask = new Mat())
{
//BGStatModel<Bgr> bgModel = new BGStatModel<Bgr>(capture.QueryFrame(), Emgu.CV.CvEnum.BG_STAT_TYPE.GAUSSIAN_BG_MODEL);
BackgroundSubtractorMOG2 bgModel = new BackgroundSubtractorMOG2(0, 0, true);
//BackgroundSubstractorMOG bgModel = new BackgroundSubstractorMOG(0, 0, 0, 0);
capture.ImageGrabbed += delegate(object sender, EventArgs e)
{
Mat frame = new Mat();
capture.Retrieve(frame);
bgModel.Apply(frame, fgMask);
using (CvBlobDetector detector = new CvBlobDetector())
using (CvBlobs blobs = new CvBlobs())
{
detector.Detect(fgMask.ToImage<Gray, Byte>(), blobs);
blobs.FilterByArea(100, int.MaxValue);
tracks.Update(blobs, 20.0, 10, 0);
Image<Bgr, Byte> result = new Image<Bgr, byte>(frame.Size);
using (Image<Gray, Byte> blobMask = detector.DrawBlobsMask(blobs))
{
frame.CopyTo(result, blobMask);
}
//CvInvoke.cvCopy(frame, result, blobMask);
foreach (KeyValuePair<uint, CvTrack> pair in tracks)
{
if (pair.Value.Inactive == 0) //only draw the active tracks.
{
CvBlob b = blobs[pair.Value.BlobLabel];
Bgr color = detector.MeanColor(b, frame.ToImage<Bgr, Byte>());
result.Draw(pair.Key.ToString(), pair.Value.BoundingBox.Location, CvEnum.FontFace.HersheySimplex, 0.5, color);
result.Draw(pair.Value.BoundingBox, color, 2);
Point[] contour = b.GetContour();
result.Draw(contour, new Bgr(0, 0, 255), 1);
}
}
viewer.Image = frame.ToImage<Bgr, Byte>().ConcateVertical(fgMask.ToImage<Bgr, Byte>().ConcateHorizontal(result));
}
};
capture.Start();
viewer.ShowDialog();
}
}
public void TestFileCapturePause()
{
int totalFrames1 = 0;
String fileName = EmguAssert.GetFile("tree.avi");
String fileName2 = fileName.Replace("tree.avi", "tree2.avi");
File.Copy(fileName, fileName2, true);
VideoCapture capture1 = new VideoCapture(fileName);
//capture one will continute capturing all the frames.
EventHandler captureHandle1 = delegate
{
Mat img = new Mat();
capture1.Retrieve(img);
totalFrames1++;
Trace.WriteLine(String.Format("capture 1 frame {0}: {1}", totalFrames1, DateTime.Now.ToString()));
};
capture1.ImageGrabbed += captureHandle1;
capture1.Start();
System.Threading.Thread.Sleep(2);
int totalFrames2 = 0;
VideoCapture capture2 = new VideoCapture(fileName2);
int counter = 0;
//capture 2 will capture 2 frames, pause for 1 seconds, then continute;
EventHandler captureHandle = delegate
{
counter++;
totalFrames2++;
bool needPause = (counter >= 2);
if (needPause)
{
capture2.Pause();
counter = 0;
}
Mat img = new Mat();
capture2.Retrieve(img);
Trace.WriteLine(String.Format("capture 2 frame {0}: {1}", totalFrames2, DateTime.Now.ToString()));
if (needPause)
{
System.Threading.ThreadPool.QueueUserWorkItem(delegate
{
Trace.WriteLine("Sleep for 1 sec");
System.Threading.Thread.Sleep(1000);
capture2.Start();
});
}
};
capture2.ImageGrabbed += captureHandle;
capture2.Start();
//int totalFrames = 69;
Stopwatch s = Stopwatch.StartNew();
while (! (totalFrames1 == totalFrames2))
{
System.Threading.Thread.Sleep(1000);
if (s.ElapsedMilliseconds > 120 * 1000)
{
EmguAssert.IsTrue(false, "Unable to finished reading frames in 2 mins");
break;
}
}
capture1.Dispose();
capture2.Dispose();
}
public void TestFileCaptureNonAscii()
{
String fileName = EmguAssert.GetFile("tree.avi");
String newName = fileName.Replace("tree.avi", "树.avi");
File.Copy(fileName, newName, true);
VideoCapture capture = new VideoCapture(EmguAssert.GetFile(newName));
int counter = 0;
using (Mat m = new Mat())
while (capture.Grab())
{
capture.Retrieve(m);
counter++;
}
Trace.WriteLine(String.Format("{0} frames found in file {1}", counter, newName));
}
public void TestCaptureFromFile()
{
using (VideoCapture capture = new VideoCapture(EmguAssert.GetFile( "tree.avi")))
using (VideoWriter writer = new VideoWriter("tree_invert.avi", 10, new Size(capture.Width, capture.Height), true))
{
int maxCount = 10;
Mat img = new Mat();
while (capture.Grab() && maxCount > 0)
{
capture.Retrieve(img);
CvInvoke.BitwiseNot(img, img);
writer.Write(img);
maxCount--;
}
}
}