/*
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 (Capture capture = new Capture())
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 CameraTracking(int subtractionHistory, int subtractionThreshold, int frameBlurStrength, int largestDetectionHeightSizeDivisor, int largestDetectionWidthSizeDivisor, int smallestDetectionHeightSizeDivisor, int smallestDetectionWidthSizeDivisor)
{
FrameBlurStrength = frameBlurStrength;
LargestDetectionHeightSizeDivisor = largestDetectionHeightSizeDivisor;
LargestDetectionWidthSizeDivisor = largestDetectionWidthSizeDivisor;
SmallestDetectionHeightSizeDivisor = smallestDetectionHeightSizeDivisor;
SmallestDetectionWidthSizeDivisor = smallestDetectionWidthSizeDivisor;
try
{
_cameraCapture = new VideoCapture();
// I had to set this by hand to match our camera as opencv doesn't always pull these properties correctly and sometimes shows funky frames or nothing at all
// _cameraCapture.SetCaptureProperty(CapProp.FrameWidth, 1600);
// _cameraCapture.SetCaptureProperty(CapProp.FrameHeight, 1200);
// _cameraCapture.SetCaptureProperty(CapProp.FourCC, Emgu.CV.VideoWriter.Fourcc('Y', 'U', 'Y', '2'));
_fgDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2(subtractionHistory, subtractionThreshold);
_blobDetector = new CvBlobDetector();
_tracker = new CvTracks();
Ready = true;
}
catch (Exception e)
{
Ready = false;
}
}
public mouse()
{
InitializeComponent();
//CvInvoke.UseOpenCL = false;
while (global.capture == null)
{
}
try
{
capture = global.capture; //new Capture();
// capture = new Capture();
//if (capture != null) capture.FlipHorizontal = !capture.FlipHorizontal;
capture.ImageGrabbed += ProcessFrame;
}
catch (NullReferenceException excpt)
{
MessageBox.Show(excpt.Message);
}
// MessageBox.Show("" + Screen.PrimaryScreen.Bounds + " __ " + capture.Width + " " + capture.Height);
fgDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
blobDetector = new Emgu.CV.Cvb.CvBlobDetector();
cursor_history_x = new Queue <int>();
cursor_history_y = new Queue <int>();
//initilize queue with initial
for (int i = 0; i < queue_cursor_length; i++)
{
cursor_history_x.Enqueue(Screen.PrimaryScreen.Bounds.Width / 2);
cursor_history_y.Enqueue(Screen.PrimaryScreen.Bounds.Height / 2);
}
}
public gesture()
{
InitializeComponent();
fow_prop = new gesture_recog();
fow_prop.Show();
//CvInvoke.UseOpenCL = false;
try
{
grabber = global.capture;
}
catch (NullReferenceException excpt)
{
MessageBox.Show(excpt.Message);
}
grabber.QueryFrame();
frameWidth = grabber.Width;
frameHeight = grabber.Height;
// detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.NONE);
hsv_min = new Hsv(0, 45, 0);
hsv_max = new Hsv(20, 254, 254);
// YCrCb_min = new Ycc(0, 131, 80);
//YCrCb_max = new Ycc(255, 185, 135);
YCrCb_min = new Ycc(0, 130, 80);
YCrCb_max = new Ycc(255, 185, 135);
index = 0;
for (int i = 0; i < 10; i++)
{
na[i] = 1;
}
fgDetector = new BackgroundSubtractorMOG2();
blobDetector = new Emgu.CV.Cvb.CvBlobDetector();
Application.Idle += new EventHandler(FrameGrabber);
}
public ObjectTracker(
TrackerSettings settings)
{
_settings = settings;
_foregroundDetector = new BackgroundSubtractorMOG2(_settings.BackgroundSubtractorHistory.Value, _settings.BackgroundSubtractorMaxComponents.Value, false);
_blobDetector = new CvBlobDetector();
_blobs = new CvBlobs();
_tracks = new CvTracks();
_trackedObjectIdentities = new Dictionary<uint, TrackedObject>();
}
void Run()
{
try
{
_cameraCapture = new VideoCapture(1);
_fgDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
_blobDetector = new CvBlobDetector();
_tracker = new CvTracks();
Application.Idle += ProcessFrame;
}
catch (Exception e)
{
}
}
public camera()
{
InitializeComponent();
CvInvoke.UseOpenCL = false;
try
{
capture = global.capture;
capture.ImageGrabbed += ProcessFrame;
}
catch (NullReferenceException excpt)
{
MessageBox.Show(excpt.Message);
}
fgDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
blobDetector = new Emgu.CV.Cvb.CvBlobDetector();
}
void Run()
{
try
{
_cameraCapture = new Capture();
}
catch (Exception e)
{
MessageBox.Show(e.Message);
return;
}
_fgDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
_blobDetector = new CvBlobDetector();
//_tracker = new BlobTrackerAuto<Bgr>();
Application.Idle += ProcessFrame;
}
void Run()
{
try
{
_cameraCapture = new VideoCapture();
}
catch (Exception e)
{
MessageBox.Show(e.Message);
return;
}
_fgDetector = new BackgroundSubtractorMOG2();
_blobDetector = new CvBlobDetector();
_tracker = new CvTracks();
Application.Idle += ProcessFrame;
}
public void Dispose()
{
if (_foregroundDetector == null) return;
try
{
_blobDetector.Dispose();
_blobs.Dispose();
_tracks.Dispose();
((IDisposable)_foregroundDetector).Dispose();
}
catch (Exception ex)
{
Log.Error("Exception disposing foreground detector", ex);
}
_blobDetector = null;
_blobs = null;
_tracks = null;
_foregroundDetector = null;
}
static void Main(string[] args)
{
if (args.Length == 0)
{
Console.WriteLine("Please pass in camera name and address");
return;
}
var codeFiles = @"C:\Users\jakka\Documents\code.txt";
_code = File.ReadAllText(codeFiles);
AppDomain.CurrentDomain.ProcessExit += CurrentDomain_ProcessExit;
_fgDetector = new BackgroundSubtractorMOG2();
_blobDetector = new CvBlobDetector();
_tracker = new CvTracks();
_name = args[0];
var address = args[1];
var fn = Path.Combine(Path.GetTempPath(), "survel");
if (!Directory.Exists(fn))
{
Directory.CreateDirectory(fn);
}
else
{
//foreach (var f in Directory.GetFiles(fn))
//{
// File.Delete(f);
//}
}
Task.Run(async() =>
{
await _processor(address, fn);
});
_watcher(_name, fn).GetAwaiter().GetResult();
}
public CameraTracking(int subtractionHistory, int subtractionThreshold, int frameBlurStrength, int largestDetectionHeightSizeDivisor, int largestDetectionWidthSizeDivisor, int smallestDetectionHeightSizeDivisor, int smallestDetectionWidthSizeDivisor)
{
Debug.WriteLine("CameraTracking:: Initializing");
if (largestDetectionHeightSizeDivisor > smallestDetectionHeightSizeDivisor ||
largestDetectionWidthSizeDivisor > smallestDetectionWidthSizeDivisor)
{
throw new Exception("The large detection divisors should be smaller then the smallest detection divisors!");
}
this.frameBlurStrength = frameBlurStrength;
this.largestDetectionHeightSizeDivisor = largestDetectionHeightSizeDivisor;
this.largestDetectionWidthSizeDivisor = largestDetectionWidthSizeDivisor;
this.smallestDetectionHeightSizeDivisor = smallestDetectionHeightSizeDivisor;
this.smallestDetectionWidthSizeDivisor = smallestDetectionWidthSizeDivisor;
try
{
CameraTracking._cameraCapture = new VideoCapture();
// I had to set this by hand to match our camera as opencv doesn't always pull these properties correctly
// and sometimes shows funky frames or nothing at all
// CameraTracking._cameraCapture.SetCaptureProperty(CapProp.FrameWidth, 1600);
// CameraTracking._cameraCapture.SetCaptureProperty(CapProp.FrameHeight, 1200);
// CameraTracking._cameraCapture.SetCaptureProperty(CapProp.FourCC, Emgu.CV.VideoWriter.Fourcc('Y', 'U', 'Y', '2'));
CameraTracking._fgDetector = new Emgu.CV.BackgroundSubtractorMOG2(subtractionHistory, subtractionThreshold);
CameraTracking._blobDetector = new CvBlobDetector();
CameraTracking._tracker = new CvTracks();
this.Ready = true;
Debug.WriteLine("CameraTracking:: Camera Initialized");
}
catch (Exception e)
{
throw new Exception("Unable to initialize the webcam!");
}
}
static void Main(string[] args)
{
_cameraCapture = new VideoCapture(1);
_fgDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
_blobDetector = new CvBlobDetector();
_tracker = new CvTracks();
Task.Run(() =>
{
DetectFaces();
})
.ContinueWith((p) =>
{
if (p != null && p.IsFaulted)
{
Console.WriteLine(p.Exception.InnerException.Message);
}
});
Task.Run(() =>
{
IdentifyFaces();
})
.ContinueWith((p) =>
{
if (p != null && p.IsFaulted)
{
Console.WriteLine(p.Exception.InnerException.Message);
}
});
Console.ReadKey();
}
protected override void inicializarVariaveis()
{
base.inicializarVariaveis();
mDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
mBlobDetector = new CvBlobDetector();
Size vTamanhoDasImagens = mImagemColorida.Size;
mImagemCinzaSemPlanoDeFundo = new Mat();
mImagemDoPlanoDeFundo = new Mat(vTamanhoDasImagens.Width, vTamanhoDasImagens.Height, DepthType.Cv32F, 3);
mImagemSemPlanoDeFundo = null;// = cvCreateImage(gTamanhoDaImagem, IPL_DEPTH_32F, 3);;
mCopiaImagemPlanoDeFundo = null;
mImagemBinariaSemPlanoDeFundo = new Mat();
vHist = new Emgu.CV.UI.HistogramBox();
vHist.Show();
vHist.Visible = true;
mPrimeiraExecucao = true;
dicionarioMonitores = new Dictionary<int, MonitorDePessoa>();
dicionarioBlobs = new Dictionary<int, MCvBlob>();
}
public static WriteableBitmap DrawBlobBoundingBoxsAroundCroppedBitmap(WriteableBitmap writeableBitmap,
WriteableBitmap gradientBitmapRef, WriteableBitmap realBitmapRef, int returnBitmapIndex)
{
Bitmap normalBitmap = BitmapFromWriteableBitmap(writeableBitmap);
var cvImage = new Image<Gray, byte>(new Bitmap(normalBitmap));
if (cvImage != null)
{
Image<Gray, byte> greyImg = cvImage.Convert<Gray, byte>();
Image<Gray, Byte> greyThreshImg = greyImg.ThresholdBinaryInv(new Gray(150), new Gray(255));
Emgu.CV.Cvb.CvBlobs resultingImgBlobs = new Emgu.CV.Cvb.CvBlobs();
Emgu.CV.Cvb.CvBlobDetector bDetect = new Emgu.CV.Cvb.CvBlobDetector();
uint numWebcamBlobsFound = bDetect.Detect(greyThreshImg, resultingImgBlobs);
Image<Rgb, byte> blobImg = greyThreshImg.Convert<Rgb, byte>();
Rgb red = new Rgb(255, 0, 0);
int blobNumber = 0;
foreach (Emgu.CV.Cvb.CvBlob targetBlob in resultingImgBlobs.Values)
{
int imageArea = blobImg.Width*blobImg.Height;
int blobArea = targetBlob.Area;
int blobBoundingBoxArea = targetBlob.BoundingBox.Width*targetBlob.BoundingBox.Height;
if (blobArea > 200.0 && blobBoundingBoxArea < (imageArea*0.99))
{
blobNumber++;
Rectangle rectangle = targetBlob.BoundingBox;
Rect convertedRect = new Rect(rectangle.X - 10, rectangle.Y - 10, rectangle.Width + 20,
rectangle.Height + 20);
//BitmapColorer.DrawRectangle(writeableBitmap, convertedRect);
writeableBitmap = writeableBitmap.Crop(rectangle.X - 10, rectangle.Y - 10, rectangle.Width + 20,
rectangle.Height + 20);
gradientBitmapRef = gradientBitmapRef.Crop(rectangle.X - 10, rectangle.Y - 10,
rectangle.Width + 20, rectangle.Height + 20);
realBitmapRef = realBitmapRef.Crop(rectangle.X - 10, rectangle.Y - 10, rectangle.Width + 20,
rectangle.Height + 20);
}
}
}
if (returnBitmapIndex == 1)
{
return writeableBitmap;
}
else if (returnBitmapIndex == 2)
{
return gradientBitmapRef;
}
else
{
return realBitmapRef;
}
}
public void mapear()
{
mDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
mBlobDetector = new CvBlobDetector();
_capture = new Capture(mNomeDoArquivo);
//_capture = new Capture();
inicializarKalman();
Application.Idle += ProcessFrame;
}
/// <summary>
/// 图漾粗略找合适的轮廓
/// </summary>
/// <param name="point_3d">三维点</param>
public static void getContours(float[] point_3d)
{
GLB.TitleStr = "";
int AREA = GLB.BUFW * GLB.BUFH; //总面积
var gray = GLB.MyFrame.Convert <Gray, Byte>(); //灰度化
Emgu.CV.Cvb.CvBlobs myBlobs = new Emgu.CV.Cvb.CvBlobs();
Emgu.CV.Cvb.CvBlobDetector bd = new Emgu.CV.Cvb.CvBlobDetector();
uint n = bd.Detect(gray, myBlobs);//发现区块
////遍历各区块:
for (uint i = 1; i <= myBlobs.Count; i++)
{
int area = myBlobs[i].Area; //获取面积
RotatedRect rect = CvInvoke.MinAreaRect(new VectorOfPoint(myBlobs[i].GetContour())); //最小矩形
float width = rect.Size.Width; //像素宽
float height = rect.Size.Height; //像素长
if (height < width)
{
float temp = height;
height = width;
width = temp;
}
float H2W = height / width;
if (area > 0.02 * AREA && area < 0.75 * AREA && H2W > 1 && H2W < 2)//通过面积 长宽比 初略筛选
{
if (getProduceInfo(myBlobs[i], point_3d) == true)
{
if (ProduceMacth() == true)//匹配成功
{
//////#########################################队列求均值--获取中心坐标#################################################
//GLB.avgCameraPoint3.Enqueue(new Point3(GLB.camera_device_point.X, GLB.camera_device_point.Y, GLB.camera_device_point.Z));
//if (GLB.avgCameraPoint3.Count > 5)
//{
// GLB.avgCameraPoint3.Dequeue();
//}
//else
//{
// return ;
//}
//GLB.camera_device_point.Z = (int)GLB.avgCameraPoint3.Average(o => o.Z);//中心点的深度//Z
//GLB.camera_device_point.Y = (int)GLB.avgCameraPoint3.Average(o => o.Y);//Y
//GLB.camera_device_point.X = (int)GLB.avgCameraPoint3.Average(o => o.X);//X
//RotatedRect boxCenter = new RotatedRect(new PointF((float )GLB.obj.jd.Average(o => o.X), (float)GLB.obj.jd.Average(o => o.Y)), new Size(8, 8), 0);
//CvInvoke.Ellipse(GLB.MyFrame, boxCenter, new MCvScalar(255, 0, 0), 4);//在中心画一个小圆
//CvInvoke.PutText(GLB.MyFrame, "x:" + (float)GLB.obj.jd.Average(o => o.X) + "y:" + (float)GLB.obj.jd.Average(o => o.Y) + "XC=" + GLB.obj.xCenter + "YC=" + GLB.obj.yCenter + "Depth=" + GLB.obj.Depth, new System.Drawing.Point((int)GLB.obj.jd.Average(o => o.X) - 176, (int)GLB.obj.jd.Average(o => o.Y) + 25), Emgu.CV.CvEnum.FontFace.HersheyDuplex, .75, new MCvScalar(255, 255, 255), 2);//深度显示
////////队列求均值
//GLB.avgAngle.Enqueue((float)GLB.obj.Angle);
//if (GLB.avgAngle.Count > 5)
//{
// GLB.avgAngle.Dequeue();
//}
//else
//{
// return ;
//}
//GLB.obj.Angle = GLB.avgAngle.Average();//旋转角
//CvInvoke.PutText(GLB.MyFrame, "Angl=" + GLB.obj.Angle, new System.Drawing.Point((int)GLB.obj.jd[3].X, (int)GLB.obj.jd[3].Y), Emgu.CV.CvEnum.FontFace.HersheyDuplex, .75, new MCvScalar(0, 0, 255), 2);
////#########################################坐标换算#################################################
GLB.robot_device_point.X = GLB.MatTuYangCam[0] * GLB.camera_device_point.X + GLB.MatTuYangCam[1] * GLB.camera_device_point.Y + GLB.MatTuYangCam[2];
GLB.robot_device_point.Y = GLB.MatTuYangCam[3] * GLB.camera_device_point.X + GLB.MatTuYangCam[4] * GLB.camera_device_point.Y + GLB.MatTuYangCam[5];
GLB.robot_device_point.Z = 2818 - GLB.camera_device_point.Z;
GLB.device_angl += -2.6f;//相机与机器人夹角2.6度
GLB.device_angl = (float)(GLB.device_angl * Math.PI / 180f);
//限定范围
if (GLB.robot_device_point.X < -600 || GLB.robot_device_point.X > 600 ||
GLB.robot_device_point.Y < -2200 || GLB.robot_device_point.Y > -800 ||
GLB.robot_device_point.Z < 280 || GLB.robot_device_point.Z > 1100)
{
GLB.Match_success = false;
GLB.TitleStr += "，但是超出范围";
}
else
{
GLB.Match_success = true;
}
}
else
{
GLB.Match_success = false;
}
}
}
}
}
private void Form1_Load(object sender, EventArgs e)
{
blobDetector = new CvBlobDetector();
}
public static WriteableBitmap DrawBlobBoundingBoxsCV(WriteableBitmap writeableBitmap, WriteableBitmap gradientBitmapRef, WriteableBitmap realBitmapRef)
{
Bitmap normalBitmap = BitmapFromWriteableBitmap(writeableBitmap);
var cvImage = new Image<Gray, byte>(new Bitmap(normalBitmap));
//var classifications = ClassifyBitmap( writeableBitmap, cvImage );
if (cvImage != null)
{
// This takes our nice looking color png and converts it to black and white
Image<Gray, byte> greyImg = cvImage.Convert<Gray, byte>();
// We again threshold it based on brightness...BUT WE INVERT THE PNG. BLOB DETECTOR DETECTS WHITE NOT BLACK
// this will esentially eliminate the color differences
// you could also do cool things like threshold only certain colors here for a color based blob detector
Image<Gray, Byte> greyThreshImg = greyImg.ThresholdBinaryInv(new Gray(150), new Gray(255));
Emgu.CV.Cvb.CvBlobs resultingImgBlobs = new Emgu.CV.Cvb.CvBlobs();
Emgu.CV.Cvb.CvBlobDetector bDetect = new Emgu.CV.Cvb.CvBlobDetector();
uint numWebcamBlobsFound = bDetect.Detect(greyThreshImg, resultingImgBlobs);
// This is a simple way of just drawing all blobs reguardless of their size and not iterating through them
// It draws on top of whatever you input. I am inputting the threshold image. Specifying an alpha to draw with of 0.5 so its half transparent.
//Emgu.CV.Image<Bgr, byte> blobImg = bDetect.DrawBlobs(webcamThreshImg, resultingWebcamBlobs, Emgu.CV.Cvb.CvBlobDetector.BlobRenderType.Default, 0.5);
// Here we can iterate through each blob and use the slider to set a threshold then draw a red box around it
Image<Rgb, byte> blobImg = greyThreshImg.Convert<Rgb, byte>();
Rgb red = new Rgb(255, 0, 0);
int blobNumber = 0;
// Lets try and iterate the blobs?
foreach (Emgu.CV.Cvb.CvBlob targetBlob in resultingImgBlobs.Values)
{
int imageArea = blobImg.Width*blobImg.Height;
int blobArea = targetBlob.Area;
int blobBoundingBoxArea = targetBlob.BoundingBox.Width*targetBlob.BoundingBox.Height;
// Only use blobs with area greater than some threshold
// If the blob bounding rect is basically size of the whole image ignore it for now
if (blobArea > 200.0 && blobBoundingBoxArea < (imageArea*0.99))
{
Rectangle rectangle = targetBlob.BoundingBox;
int CentroidX = (int)targetBlob.Centroid.X;
int CentroidY = (int)targetBlob.Centroid.Y;
int croppedWidth = rectangle.Width + 50;
int croppedHeight = rectangle.Height + 50;
int CroppedX = CentroidX - (int)(croppedWidth / 2.0);
int CroppedY = CentroidY - (int)(croppedHeight / 2.0);
var croppedBlobBitmap = writeableBitmap.Crop(CroppedX, CroppedY, croppedWidth, croppedHeight);
var croppedGradientBlobBitmap = gradientBitmapRef.Crop(CroppedX, CroppedY, croppedWidth, croppedHeight);
var croppedRealBitmapRef = realBitmapRef.Crop(CroppedX, CroppedY, croppedWidth, croppedHeight);
double blobAngle = -RadianToDegree(CalculateBlobAngle(targetBlob));
CroppedX = (int) (croppedWidth/2.0);
CroppedY = (int) (croppedHeight/2.0);
var rotatedandCroppedBlobBitmap = RotateWriteableBitmap(croppedBlobBitmap, blobAngle);
var rotatedGradientBlobBitmap = RotateColorWriteableBitmap(croppedGradientBlobBitmap, blobAngle);
var rotatedRealBitmapRef = RotateColorWriteableBitmap(croppedRealBitmapRef, blobAngle);
var refinedBitmap = DrawBlobBoundingBoxsAroundCroppedBitmap(rotatedandCroppedBlobBitmap, rotatedGradientBlobBitmap, rotatedRealBitmapRef, 1);
rotatedGradientBlobBitmap = DrawBlobBoundingBoxsAroundCroppedBitmap(rotatedandCroppedBlobBitmap, rotatedGradientBlobBitmap, rotatedRealBitmapRef, 2);
rotatedRealBitmapRef = DrawBlobBoundingBoxsAroundCroppedBitmap(rotatedandCroppedBlobBitmap, rotatedGradientBlobBitmap, rotatedRealBitmapRef, 3);
var areaCheck = refinedBitmap.PixelHeight*refinedBitmap.PixelWidth;
if (areaCheck >= 200)
{
blobNumber++;
var thresholded = refinedBitmap.Clone();
ThresholdBitmap(thresholded, 10, false);
BitmapColorer.ColorBitmap(thresholded);
System.Windows.Media.Color blobColor = PixelColorOfCentralBlob(thresholded);
BitmapColorer.EraseAllButCertainColorandWhite(thresholded, blobColor);
var shouldFlip = shouldFlipThresholdedBitmap(thresholded, blobColor);
if (shouldFlip)
{
thresholded = thresholded.Rotate(180);
rotatedGradientBlobBitmap = rotatedGradientBlobBitmap.Rotate(180);
rotatedRealBitmapRef = rotatedRealBitmapRef.Rotate(180);
}
var orientedBitmap = NormalizeBitmapSize(thresholded);
var orientedGradientBitmap = NormalizeBitmapSize(rotatedGradientBlobBitmap);
var orientedRealBitmap = NormalizeBitmapSize(rotatedRealBitmapRef);
ApplyBlobMaskToOtherBitmaps(orientedBitmap, orientedGradientBitmap, orientedRealBitmap, blobColor);
string fileName1 = saveDirectory + "\\croppedBlob" + blobNumber + ".png";
ExtensionMethods.Save(orientedRealBitmap, fileName1);
}
}
}
}
return writeableBitmap;
}
void Run()
{
try
{
_cameraCapture = new VideoCapture();
}
catch (Exception e)
{
MessageBox.Show(e.Message);
return;
}
_fgDetector = new Emgu.CV.VideoSurveillance.BackgroundSubtractorMOG2();
_blobDetector = new CvBlobDetector();
_tracker = new CvTracks();
Application.Idle += ProcessFrame;
}
