public void write() {
int codec = Emgu.CV.CvInvoke.CV_FOURCC('P', 'I', 'M', '1');
int fps = 25;
if (list_timestamps.Count > 0)
{
String tempvideopath = Program.getConfiguration().Mediafolderpath + @"\" + list_timestamps[0].ToString() + ".mpg";
Capture tempcapture = new Capture(tempvideopath);
fps = (int)tempcapture.GetCaptureProperty(CAP_PROP.CV_CAP_PROP_FPS);
tempcapture.Dispose();
}
VideoWriter videowriter = new VideoWriter(videopath, codec, fps, 640, 480, true);
for (int i = 0; i < list_timestamps.Count; i++)
{
videopath = Program.getConfiguration().Mediafolderpath + @"\" + list_timestamps[i].ToString() + ".mpg";
try
{
Capture joincapture = new Capture(videopath);
Image<Bgr, byte> frame = joincapture.QueryFrame();
for (int n = 1; n < 15; n++)
joincapture.QueryFrame();
while (frame != null)
{
videowriter.WriteFrame(frame);
frame = joincapture.QueryFrame();
}
joincapture.Dispose();
// Notify main frame to update its progressbar
ExportVideoProgressEventArgs e = new ExportVideoProgressEventArgs(i);
DoneAppendingRallyVideoEvent(this, e);
}
catch (NullReferenceException) { Console.WriteLine("unreadable video file"); }
}
videowriter.Dispose();
}
public void processarVideo(ParametrosDinamicos parametros)
{
mCapture = new Capture(mNomeDoArquivo);
inicializarVariaveis();
carregarParametrosNaTela(parametros);
while (mImagemColorida != null)
{
atualizarParametros(parametros);
mContadorDeFrames++;
processarImagem(false);
CvInvoke.WaitKey(100);
// CvInvoke.cvShowImage("Imagem", mImagemColorida);
desenharNaImagem(parametros);
exibirImagem(false);
if (mSalvarImagem)
{
/*CvInvoke.SaveImage(String.Format(@"C:\Users\Tadeu Rahian\Dropbox\Dropbox\UFMG\PFC1\Imagens\mImagemColorida{0}.jpg", mContadorDeFrames), mImagemColorida);
EnviarImagensEmail(new Attachment(String.Format(@"C:\Users\Tadeu Rahian\Dropbox\Dropbox\UFMG\PFC1\Imagens\mImagemColorida{0}.jpg", mContadorDeFrames)));
mSalvarImagem = false;*/
}
mImagemColorida = mCapture.QueryFrame();
}
mCapture.Dispose();
}
public RecognitionOnPrem()
{
InitializeComponent();
Loaded += (s, e) =>
{
if (grabber == null)
{
_faceClassifier = new CascadeClassifier("haarcascade_frontalface_default.xml");
//count number of trained faces
ContTrain = CommonData.TrainingImages.Count;
grabber = new Capture();
grabber.QueryFrame();
}
else
{
grabber.Start();
}
};
Unloaded += (s, e) => {
grabber.Stop();
};
CompositionTarget.Rendering += CompositionTarget_Rendering;
}
private void StartScanning()
{
Application.Idle += new EventHandler(delegate(object senders, EventArgs ee)
{
var mat = cap.QueryFrame();
Bitmap bitmap = mat.Bitmap;
Image <Gray, byte> img = new Image <Gray, byte>(bitmap);
MCvAvgComp[][] rectangles = img.DetectHaarCascade(_cascadeClassifier, 1.2, 0, HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new System.Drawing.Size(20, 20));
foreach (var rect in rectangles[0])
{
mat.Draw(rect.rect, new Bgr(255, 0, 0), 2);
img = new Image <Gray, byte>(bitmap);
string name = FaceRecognition(img);
MCvFont mCvFont = new MCvFont(FONT.CV_FONT_HERSHEY_PLAIN, 20, 20);
label1.Text = name;
//break;
}
imageBox1.Image = mat;
});
}
public void StartStreaming()
{
grabber = new Capture();
grabber.QueryFrame();
Application.Idle += new EventHandler(FrameGrabber);
//All.Enabled = false;
}
public LogIn()
{
InitializeComponent();
//Load haarcascades for face detection
face = new HaarCascade("haarcascade_frontalface_default.xml");
//eye = new HaarCascade("haarcascade_eye.xml");
//Load of previus trainned faces and labels for each image
string Labelsinfo = File.ReadAllText(Application.StartupPath + "/Faces/TrainedLabels.txt");
string[] Labels = Labelsinfo.Split('%');
NumLabels = Convert.ToInt16(Labels[0]);
ContTrain = NumLabels;
string LoadFaces;
for (int tf = 1; tf < NumLabels + 1; tf++)
{
LoadFaces = "face" + tf + ".bmp";
trainingImages.Add(new Image <Gray, byte>(Application.StartupPath + "/Faces/" + LoadFaces));
labels.Add(Labels[tf]);
}
grabber = new Emgu.CV.Capture();
grabber.QueryFrame();
Application.Idle += new EventHandler(FrameGrabber);
}
/// <summary>
/// Подсчет количества кадров видео
/// </summary>
/// <param name="data">Информация о видео</param>
/// <returns>Количество кадров</returns>
public Task<int> CountFramesNumberAsync(object data)
{
try
{
if (data == null)
throw new ArgumentNullException("Null data in LoadFrames");
IOData ioData = (IOData)data;
string videoFileName = ioData.FileName;
if (videoFileName == null || videoFileName.Length == 0)
throw new ArgumentNullException("Null videoFileName in LoadFrames");
return Task.Run(() =>
{
List<Image<Bgr, Byte>> frames = new List<Image<Bgr, byte>>();
Capture capture = new Capture(videoFileName);
Image<Bgr, Byte> frame = null;
int frameNumber = 0;
do
{
frame = capture.QueryFrame();
if (frame != null)
++frameNumber;
}
while (frame != null);
return frameNumber;
});
}
catch (Exception exception)
{
throw exception;
}
}
public ColorSampleForm(Capture c)
{
InitializeComponent();
sampleImg = c.QueryFrame();
sampleImg = sampleImg.Resize(_frameWidth, _frameHeight, true); //resize while maintaining proportion.
sampleImageBox.Image = sampleImg;
}
public AIRecognition()
{
InitializeComponent();
_faceClassifier = new CascadeClassifier("haarcascade_frontalface_default.xml");
Loaded += (s, e) =>
{
_vmodel.Pictures.Clear();
_vmodel.PersonRecognized = 0;
this.DataContext = _vmodel;
if (grabber == null)
{
CommonData.LoadSavedData();
//check how many faces we already have
_countFaces = CommonData.PicturesVM.Pictures.Count;
grabber = new Capture();
grabber.QueryFrame();
grabber.Start();
}
else
{
grabber.Start();
}
};
Unloaded += (s, e) =>
{
grabber.Stop();
};
CompositionTarget.Rendering += CompositionTarget_Rendering;
}
public Form1()
{
InitializeComponent();
grabber = new Emgu.CV.Capture("C:/Users/L33549.CITI/Desktop/a.avi");
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, 255, 255);
YCrCb_min = new Ycc(0, 129, 40);
YCrCb_max = new Ycc(255, 185, 135);
box = new MCvBox2D();
ellip = new Ellipse();
contourStorage = new MemStorage();
approxStorage = new MemStorage();
hullStorage = new MemStorage();
defectsStorage = new MemStorage();
tipPts = new Point[MAX_POINTS]; // coords of the finger tips
foldPts = new Point[MAX_POINTS]; // coords of the skin folds between fingers
depths = new float[MAX_POINTS]; // distances from tips to folds
cogPt = new Point();
fingerTips = new List<Point>();
face = new CascadeClassifier("C:/Users/L33549.CITI/Desktop/AbuseAnalysis/HandGestureRecognition/HandGestureRecognition/HandGestureRecognition/haar/Original/haarcascade_hand.xml");
Application.Idle += new EventHandler(FrameGrabber);
/*foreach (var potentialSensor in KinectSensor.KinectSensors)
{
if (potentialSensor.Status == KinectStatus.Connected)
{
this.sensor = potentialSensor;
break;
}
}
if (null != this.sensor)
{
// Turn on the color stream to receive color frames
this.sensor.ColorStream.Enable(ColorImageFormat.RgbResolution640x480Fps30);
// Allocate space to put the pixels we'll receive
this.colorPixels = new byte[this.sensor.ColorStream.FramePixelDataLength];
// This is the bitmap we'll display on-screen
this.colorBitmap = new WriteableBitmap(this.sensor.ColorStream.FrameWidth, this.sensor.ColorStream.FrameHeight, 96.0, 96.0, PixelFormats.Bgr32, null);
// Set the image we display to point to the bitmap where we'll put the image data
//this.Image.Source = this.colorBitmap;
// Add an event handler to be called whenever there is new color frame data
this.sensor.ColorFrameReady += this.SensorColorFrameReady;
// Start the sensor!
this.sensor.Start();
}*/
}
private void btn_LoadFileList_Click(object sender, EventArgs e)
{
button2.Enabled = true;
FolderBrowserDialog fbd = new FolderBrowserDialog();
if (fbd.ShowDialog() == DialogResult.OK)
{
this.txtBox_fileDirectory.Text = fbd.SelectedPath;
this.frameNum = 0;
this.curImageIndx = 0;
string[] files = Directory.GetFiles(fbd.SelectedPath, "*.flv");
System.Windows.Forms.MessageBox.Show("Files found: " + files.Length.ToString(), "Message");
listFiles = new SortedList <string, string>();
foreach (string file in files)
{
listFiles.Add(file, file);
}
System.Windows.Forms.MessageBox.Show("First file: " + listFiles.Values[0].ToString(), "Message");
currentFileName = listFiles.Values[0].ToString();
if (currentFileName.Length > 4)
{
cap = new Emgu.CV.Capture(currentFileName);
prevFrame = cap.QueryFrame();
updateFrameNumber();
textBox2.Text = currentFileName;
pictureBox1.Image = prevFrame.Bitmap.Clone() as Bitmap;
}
}
}
public Admin()
{
InitializeComponent();
face = new HaarCascade("haarcascade_frontalface_default.xml");
Loaded += (s, e) =>
{
this.DataContext = CommonData.PicturesVM;
if (grabber == null)
{
CommonData.LoadSavedData();
//check how many faces we already have
_countFaces = CommonData.PicturesVM.Pictures.Count;
grabber = new Capture();
grabber.QueryFrame();
grabber.Start();
}
else
{
grabber.Start();
}
};
Unloaded += (s, e) =>
{
grabber.Stop();
};
CompositionTarget.Rendering += CompositionTarget_Rendering;
}
private void BTn_Detect_Click(object sender, RoutedEventArgs e)
{
grabberRecognition = new Emgu.CV.Capture(1); //when click camera wil be opened
//initializing the grabber event
grabberRecognition.QueryFrame();
//Now to capture the video
ComponentDispatcher.ThreadIdle += new EventHandler(FrameGrabberRecognition); //if the application is idel and the camera is on then call the frame grabber event
}
private void button1_Click(object sender, EventArgs e)
{
//Inicializar el dispositivo de Captura
grabber = new Capture();
grabber.QueryFrame();
//Controlar el Evento de la Camara
Application.Idle += new EventHandler(FrameGrabber);
button1.Enabled = false;
}
private void button1_Click(object sender, EventArgs e)
{
//Initialize the capture device
webcam = new Emgu.CV.Capture();
webcam.QueryFrame();
//Initialize the FrameGraber event
Application.Idle += new EventHandler(Framewebcam);
button1.Enabled = false;
}
private void button1_Click(object sender, EventArgs e)
{
//Menginisialisasi perangkat capture
grabber = new Capture();
grabber.QueryFrame();
//Menginisialisasi FrameGraber
Application.Idle += new EventHandler(FrameGrabber);
button1.Enabled = false;
}
private void InitializeEmguCv()
{
capture = new Capture(CaptureType.Any);
background = capture
.QueryFrame()
.ToGrey()
.GaussianBlur(new Size(11, 11));
}
private void button1_Click(object sender, EventArgs e)
{
//Initialize the capture device
grabber = new Capture();
grabber.QueryFrame();
//Initialize the FrameGraber event
Application.Idle += new EventHandler(FrameGrabber);
button1.Enabled = false;
}
private void BTn_CaptureAgain_Click(object sender, RoutedEventArgs e)
{
imageCaptured = false;
//faceCount = eyeCount = mouthCount = noseCount = 0;
grabber = new Emgu.CV.Capture(1); //when click camera wil be opened
//initializing the grabber event
grabber.QueryFrame();
//Now to capture the video
ComponentDispatcher.ThreadIdle += new EventHandler(FrameGrabber); //if the application is idel and the camera is on then call the frame grabber event
}
public void createCaptures()
{
devices = new List<Capture>();
for (int i = 0; i < 2; i++)
{
Capture c = new Capture(i);
if (c.QueryFrame() != null)
devices.Add(c);
}
}
public void testCam()
{
ImageViewer viewer = new ImageViewer(); //create an image viewer
Capture capture = new Capture(); //create a camera captue
Application.Idle += new EventHandler(delegate(object sender, EventArgs e)
{ //run this until application closed (close button click on image viewer)
viewer.Image = capture.QueryFrame(); //draw the image obtained from camera
});
viewer.ShowDialog(); //show the image viewer
}
static void Main(string[] args)
{
LoCoMoCo MyBot = new LoCoMoCo("COM3"); // com port number
var MainToken = new CancellationTokenSource(); //create token for the cancel
UdpClient MainServerSocket = new UdpClient(15000); // declare a client
byte[] MainDataReceived = new byte[1024]; // prepare container for received data
string MainStringData = "";
Capture capture = new Capture(); // declare object for camera
Image<Bgr, Byte> frame; // declare image for capture
int TotalMessageCount = 0;
while (true) // this while for keeping the main server "listening"
{
try {
frame = capture.QueryFrame();
Console.WriteLine("Waiting for a UDP client..."); // display stuff
IPEndPoint MainClient = new IPEndPoint(IPAddress.Any,0); // prepare a client
MainDataReceived = MainServerSocket.Receive(ref MainClient); // receive packet
MainStringData = Encoding.ASCII.GetString(MainDataReceived, 0, MainDataReceived.Length); // get string from packet
Console.WriteLine("Response from " + MainClient.Address); // display stuff
Console.WriteLine("Message " + TotalMessageCount++ + ": " + MainStringData + "\n"); // display client's string
if (MainStringData.Equals("Picture"))
{
MainToken = new CancellationTokenSource(); // new cancellation token every iteration
Task.Run(() => SendPicture(MainServerSocket, MainClient, frame), MainToken.Token); //start method on another thread
}
if (MainStringData.Equals("StopV"))
MainToken.Cancel();
else if (MainStringData.Equals("Forward"))
MyBot.forward();
else if (MainStringData.Equals("Backward"))
MyBot.backward();
else if (MainStringData.Equals("Left"))
MyBot.turnleft();
else if (MainStringData.Equals("Right"))
MyBot.turnright();
else if (MainStringData.Equals("Stop"))
MyBot.stop();
} catch (Exception e)
{ }
}
}
public static void TestCodeBook()
{
int learningFrames = 40;
using (Capture capture = new Capture("tree.avi"))
using (BGCodeBookModel<Ycc> bgmodel = new BGCodeBookModel<Ycc>())
{
#region Set color thresholds values
MCvBGCodeBookModel param = bgmodel.MCvBGCodeBookModel;
param.modMin[0] = param.modMin[1] = param.modMin[2] = 3;
param.modMax[0] = param.modMax[1] = param.modMax[2] = 10;
param.cbBounds[0] = param.cbBounds[1] = param.cbBounds[2] = 10;
bgmodel.MCvBGCodeBookModel = param;
#endregion
ImageViewer viewer = new ImageViewer();
int count = 0;
EventHandler processFrame = delegate(Object sender, EventArgs e)
{
Image<Bgr, Byte> img = capture.QueryFrame();
if (img == null)
{
return;
}
Image<Gray, byte> mask = new Image<Gray, Byte>(img.Size);
mask.SetValue(255);
viewer.Text = String.Format("Processing {0}th image. {1}", count++, learningFrames > 0 ? "(Learning)" : String.Empty);
using (Image<Ycc, Byte> ycc = img.Convert<Ycc, Byte>()) //using YCC color space for BGCodeBook
{
bgmodel.Update(ycc, ycc.ROI, mask);
if (learningFrames == 0) //training is completed
bgmodel.ClearStale(bgmodel.MCvBGCodeBookModel.t / 2, ycc.ROI, mask);
learningFrames--;
Image<Gray, Byte> m = bgmodel.ForgroundMask.Clone();
if (count == 56)
{
m = bgmodel.ForgroundMask.Clone();
}
//m._EqualizeHist();
viewer.Image = m;
//viewer.Image = img;
System.Threading.Thread.Sleep(100);
}
img.Dispose();
};
Application.Idle += processFrame;
viewer.ShowDialog();
}
}
static void Main(string[] args)
{
/* One File
string desktop = Environment.GetFolderPath(Environment.SpecialFolder.Desktop);
string workingDir = @"E:\REDID\vids";//Path.Combine(desktop, "test", "Dancing_Resized");
string videoName = "pos_030.avi";
*/
string workingDir = @"C:\Users\Paolo\Desktop\crowd_results\New folder";
string outDir = @"C:\Users\Paolo\Desktop\crowd_results";
int maxFrames = 1000;
string[] files = Directory.GetFiles(workingDir, "*.avi");
foreach (string f in files)
{
string filename = Path.GetFileName(f);
string outDirFile = Path.Combine(outDir, filename.Remove(filename.Length - 4));
if (!Directory.Exists(outDirFile))
Directory.CreateDirectory(outDirFile);
else
{
Console.WriteLine("Directory already exists! OVERWRITE?");
if ( Console.ReadKey().Key == ConsoleKey.Y)
{
Directory.Delete(outDirFile, true);
CvInvoke.cvWaitKey(100);
}
else
Environment.Exit(1);
}
Capture cap = new Capture(f);
string rootFile = Path.GetFileName(f);
rootFile = rootFile.Remove(rootFile.Length - 4);
int totFrames = (int)cap.GetCaptureProperty(Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FRAME_COUNT);
if (totFrames > maxFrames && maxFrames != 0)
totFrames = maxFrames;
Console.WriteLine("FILE {0}: {1} frames", rootFile, totFrames);
StreamWriter sw1 = new StreamWriter(Path.Combine(outDirFile, "imageList.txt"));
for (int frameNumber = 1; frameNumber < totFrames; frameNumber++)
{
IMG currentFrame = cap.QueryFrame();
if (currentFrame == null)
continue;
string fileOut = string.Format("{0}_{1}.jpg", rootFile, frameNumber.ToString("D8"));
currentFrame.Save(Path.Combine(outDirFile, fileOut));
sw1.Write(fileOut + '\n');
if (frameNumber % 100 == 0)
Console.WriteLine("Frame {0} written...", frameNumber);
}
sw1.Dispose();
}
}
private void Window_Loaded(object sender, RoutedEventArgs e)
{
Capture capture = new Capture(7);
capture.Start();
ComponentDispatcher.ThreadIdle += (o, arg) =>
{
var img = capture.QueryFrame();
Emgu.CV.Contour<Bgr> con = new Contour<Bgr>(new MemStorage());
Display.Source = BitmapSourceConvert.ToBitmapSource(img);
};
}
private void button2_Click(object sender, EventArgs e)
{
Capture c = new Capture(openFileDialog1.FileName);
Image<Bgr, Byte> frame = null;
do
{
frame = c.QueryFrame();
if (frame == null)
break;
q.Enqueue(frame.Clone());
} while (true);
}
/// <summary>
/// Captures a frame from camera
/// </summary>
private static void CaptureFrame()
{
try
{
if (CaptureSettings.Instance().MOTION_DETECTION)
{
Image <Bgr, byte> originalFrame = lastFrame.Clone();
lastFrame = camera.QueryFrame();
CalculateDiff(originalFrame, lastFrame);
}
else
{
lastFrame = camera.QueryFrame();
}
lastFrameTime = DateTime.Now;
}
catch
{
Console.WriteLine("Unable to capture camera image");
}
}
private void ShowCameraScreen(object sender, EventArgs e)
{
var imageFrame = _capture.QueryFrame().ToImage <Bgr, byte>();
DrawThankYouText(imageFrame, "Thank you!");
if (!_doBadge && !_doFace && !_doTracking)
{
DrawAttractiveText(imageFrame, "xConnect\r\n in Action");
}
DrawBestFace(imageFrame);
DrawBestBadge(imageFrame);
DrawFrame(imageFrame);
if (needRefresh)
{
needRefresh = false;
Start();
}
}
private void BTn_Go_Click(object sender, RoutedEventArgs e)
{
LBl_WarningMsg.Content = "";
if (TBx_Matriculation.Text != "")
{
int i;
if (int.TryParse(TBx_Matriculation.Text, out i))
{
bool hasMat, studExists;
string uniStudents = File.ReadAllText(AppDomain.CurrentDomain.BaseDirectory + "/TrainedFaces/UniStudents.txt");
string[] arrayUniStudents = uniStudents.Split('%');
hasMat = Array.IndexOf(arrayUniStudents, TBx_Matriculation.Text) >= 0;
if (hasMat)
{
string addedStudents = File.ReadAllText(AppDomain.CurrentDomain.BaseDirectory + "/TrainedFaces/TrainedNames.txt");
string[] arrayaddedStudents = addedStudents.Split('%');
studExists = Array.IndexOf(arrayaddedStudents, TBx_Matriculation.Text) >= 0;
LBl_WarningMsg.Content = "";
if (!studExists)
{
try
{
TBx_Nose.Visibility = TBx_Eyes.Visibility = TBx_Face.Visibility = TBx_Mouth.Visibility = BTn_AddStudent.Visibility = BTn_CaptureAgain.Visibility = Visibility.Visible;
grabber = new Emgu.CV.Capture(1); //when click camera wil be opened
grabber.QueryFrame(); //Now to capture the video
ComponentDispatcher.ThreadIdle += new EventHandler(FrameGrabber); //if the application is idel and the camera is on then call the frame grabber event
}
catch (Exception ex)
{
MessageBox.Show(ex.Message);
}
}
else
{
LBl_WarningMsg.Content = "Student already added in the Attendance System";
}
}
else
{
LBl_WarningMsg.Content = "Student is not enrolled in the university";
}
}
else
{
LBl_WarningMsg.Content = "Characters otherthan numbers not allowed!";
}
}
else
{
LBl_WarningMsg.Content = "Matriculation number can not be empty!";
}
}
static void Run(string file)
{
//load image
Mat image;// = new Mat(file,LoadImageType.Color);
long detectionTime;
//declare rectangles for detection
List<Rectangle> breast = new List<Rectangle>();
//disable cuda module
bool tryUseCuda = false;
bool tryUseOpenCL = true;
int itr = 0;
//capture video file
Capture capture = new Capture(file);
image = capture.QueryFrame();
while (image != null)
{
if (itr == 161) break;
Console.WriteLine(itr++);
image = capture.QueryFrame();
detect.detect1(image, "cascade.xml", breast, tryUseCuda, tryUseOpenCL,out detectionTime);
//put rectangles
foreach (Rectangle b in breast)
CvInvoke.Rectangle(image, b, new Bgr(Color.Red).MCvScalar, 2);
}
capture.Dispose();
//show image
/*ImageViewer.Show(image, String.Format(
"Completed face and eye detection using {0} in {1} milliseconds",
(tryUseCuda && CudaInvoke.HasCuda) ? "GPU"
: (tryUseOpenCL && CvInvoke.HaveOpenCLCompatibleGpuDevice) ? "OpenCL"
: "CPU",
detectionTime));*/
}
/// <summary>
/// Retrieve the current frame.
/// </summary>
/// <returns></returns>
public Image <Bgr, Byte> Frame()
{
lock (this) {
if (this.IsConnected && _device != null)
{
return(_device.QueryFrame());
}
else
{
return(null);
}
}
}
private static double AvrLum(Capture webcam)
{
Image<Bgr, Byte> testFrame = webcam.QueryFrame();
Image<Bgr, Byte> cloneFrame = testFrame.Clone();
int sum = new int();
foreach (int lum in cloneFrame.Data)
{
sum += lum;
}
Double avr = sum / (cloneFrame.Height * cloneFrame.Width * 3);
return avr;
}
public override void OnStart()
{
PackageHost.WriteInfo("Package starting - IsRunning: {0} - IsConnected: {1}", PackageHost.IsRunning, PackageHost.IsConnected);
string startupPath = System.Reflection.Assembly.GetExecutingAssembly().CodeBase;
IDBAccess dataStore = new DBAccess("facesDB.db");
recoEngine = new RecognizerEngine(
Path.Combine(Environment.CurrentDirectory, "data/facesDB.db"),
Path.Combine(Environment.CurrentDirectory, "data/RecognizerEngineData.YAML")); //"/data/facesDB.db", startupPath + "/data/RecognizerEngineData.YAML");
cap = new Capture();
//cap.QueryFrame().Save(Path.Combine(Environment.CurrentDirectory, "test.bmp"));
Task.Factory.StartNew(() =>
{
while (PackageHost.IsRunning)
{
Rectangle[] faces;
//string bla = System.Reflection.Assembly.GetExecutingAssembly(). CodeBase + "/haarcascade_frontalface_default.xml";
cascadeClassifier = new CascadeClassifier( Path.Combine(Environment.CurrentDirectory, "haarcascade_frontalface_default.xml"));
using (var imageFrame = cap.QueryFrame().ToImage<Bgr, Byte>())
{
if (imageFrame != null)
{
var grayframe = imageFrame.Convert<Gray, byte>();
faces = cascadeClassifier.DetectMultiScale(grayframe, 1.2, 10, Size.Empty); //the actual face detection happens here
PackageHost.PushStateObject<Rectangle[]>("faces", faces);
foreach (var face in faces)
{
int nameID = recoEngine.RecognizeUser(imageFrame.GetSubRect(face).Convert<Gray, byte>());
if (nameID == 0)
{
PackageHost.WriteWarn("unknown face");
PackageHost.PushStateObject<String>("Face", "Unknown");
}
else
{
string name = dataStore.GetUsername(nameID);
PackageHost.WriteInfo("face recognized : {0}", name);
PackageHost.PushStateObject<String>("Face", name);
}
}
}
}
Thread.Sleep(5000);//PackageHost.GetSettingValue<int>("RefreshRate")
}
});
}
private static void Main(string[] args)
{
var capture = new Capture(0);
Native.Create(@"D:\GitHub\videotools\Debug\model\main_clm_general.txt");
var id = 0;
while (capture.Grab()) {
var mat = capture.QueryFrame();
Native.SessionPoint[] points;
var result = Native.Process(mat, out points);
Console.WriteLine(@"{0:D5}:{1}", id, Native.ToString(result));
++id;
}
Native.Destroy();
}
public GeometryModel3D Create3DImage()
{
cap = new Capture(0);
IImage frame = cap.QueryFrame();
wallPaper = new SubclassWallpaperCreater(frame);
wallPaper.designWallpaper();
IImage pic = wallPaper.WallpaperImage;
image3D = new Image3D();
image3D.BuildSolid(pic, ref mGeometry);
cap = null;
return mGeometry;
}
void showCaptureImage()
{
lock (lock1)
{
while (true)
{
Mat a = capture.QueryFrame();
//pictureBox.Image = a.Bitmap;
pictureBox.Image = a.Bitmap;
currentImage = new Image <Bgr, byte>(a.Bitmap);
Thread.Sleep(5);
}
}
}
private void FrameGrabber(object sender, EventArgs e)
{
Users.Add("");
//Recheck at this point
currentFrame = grabber.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
gray = currentFrame.Convert <Gray, Byte>();
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
1.2,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(20, 20));
foreach (MCvAvgComp f in facesDetected[0])
{
result = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
currentFrame.Draw(f.rect, new Bgr(Color.Red), 2);
if (trainingImages.ToArray().Length != 0)
{
//TermCriteria for face recognition with numbers of trained images like maxIteration
MCvTermCriteria termCrit = new MCvTermCriteria(ContTrain, 0.001);
//Eigen face recognizer
EigenObjectRecognizer recognizer = new EigenObjectRecognizer(
trainingImages.ToArray(),
labels.ToArray(),
3000,
ref termCrit);
name = recognizer.Recognize(result);
//Validation = name;
//Draw the label for each face detected and recognized
currentFrame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.BlueViolet));
}
Users.Add("");
}
cameraBox.Image = currentFrame;
if (!string.IsNullOrWhiteSpace(name) && name == "Lac")
{
Application.Idle -= new EventHandler(FrameGrabber);
grabber.Dispose();
RibbonForm1 form2 = new RibbonForm1();
this.Hide();
form2.ShowDialog();
this.Close();
}
names = "";
Users.Clear();
}
private void button1_Click(object sender, EventArgs e)
{
try
{
//Initialize the capture device
grabber = new Capture();
grabber.QueryFrame();
//Initialize the FrameGraber event
Application.Idle += FrameGrabber;
button1.Enabled = false;
}
catch (NullReferenceException)
{
MessageBox.Show(@"Nu ai pornit camera sau nu ai atasat calculatorului");
}
}
public void startLoad()
{
Capture c = new Capture(path);
Image<Bgr, Byte> frame = null;
do
{
frame = c.QueryFrame();
if (frame == null)
break;
Bitmap bmp = frame.ToBitmap();
byte[] payload = FrameHelper.getFrameBytes(bmp);
RTPModel pkg = new RTPModel(0, frames.Count, frames.Count, payload);
frames.Add(pkg.toBytes());
FrameLoaded.Invoke(this, frames.Count - 1);
} while (true);
}
public Form1()
{
InitializeComponent();
grabber = new Emgu.CV.Capture(@".\..\..\..\M2U00253.MPG");
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, 255, 255);
YCrCb_min = new Ycc(0, 131, 80);
YCrCb_max = new Ycc(255, 185, 135);
box = new MCvBox2D();
ellip = new Ellipse();
Application.Idle += new EventHandler(FrameGrabber);
}
private Mat GetNextFile()
{
curImageIndx++;
b_listFinished = true;
if (curImageIndx < listFiles.Count && curImageIndx >= 0)
{
b_listFinished = false;
currentFileName = listFiles.Values[curImageIndx];
if (currentFileName.Length > 4)
{
if (cap != null)
{
cap.Dispose();
cap = null;
GC.Collect(GC.MaxGeneration, GCCollectionMode.Forced);
GC.WaitForFullGCComplete();
}
cap = new Emgu.CV.Capture(currentFileName);
//System.Threading.Thread.Sleep(1000);
//while(true)
try
{
nextFrame = cap.QueryFrame();
//break;
}
catch (CvException cf) {
/// Занятый ресурс - наведена мышка
cap.Dispose();
cap = null;
GC.Collect();
//Emgu.CV.Capture.CaptureModuleType.
cap = new Emgu.CV.Capture(currentFileName);
string str = cf.ErrorMessage;
}
//updateFrameNumber();
textBox2.Text = currentFileName;
if (!b_AutoRun)
{
pictureBox1.Image = prevFrame.Bitmap.Clone() as Bitmap;
}
}
}
return(nextFrame);
}
public Form1()
{
InitializeComponent();
markedPoints = new Dictionary<string, Point[]>();
try
{
capture = new Capture("kinect_local_rgb_raw_synced.avi");
capture.SetCaptureProperty(Emgu.CV.CvEnum.CapProp.PosFrames, currentFrame);
pictureBox.Image = capture.QueryFrame().Bitmap;
frameCount = (int) capture.GetCaptureProperty(Emgu.CV.CvEnum.CapProp.FrameCount);
} catch ( Exception e)
{
Console.WriteLine(e);
}
}
public Form1()
{
InitializeComponent();
grabber = new Emgu.CV.Capture();
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, 255, 255);
YCrCb_min = new Ycc(0, 131, 80);
YCrCb_max = new Ycc(255, 185, 135);
box = new MCvBox2D();
// ellip = new Ellipse();
_face = new HaarCascade("haarcascade_frontalface_alt_tree.xml");
eyes = new HaarCascade("haarcascade_mcs_eyepair_big.xml");
reye = new HaarCascade("haarcascade_mcs_lefteye.xml");
leye = new HaarCascade("haarcascade_mcs_righteye.xml");
label1.Hide();
}
private void button1_Click(object sender, EventArgs e)
{
button2.Enabled = true;
OpenFileDialog openPic = new OpenFileDialog();
//openPic.Filter = ".avi";
if (openPic.ShowDialog() == DialogResult.OK)
{
currentFileName = openPic.FileName;
this.frameNum = 0;
if (currentFileName.Length > 4)
{
cap = new Emgu.CV.Capture(currentFileName);
prevFrame = cap.QueryFrame();
updateFrameNumber();
textBox2.Text = currentFileName;
pictureBox1.Image = prevFrame.Bitmap.Clone() as Bitmap;
}
}
}
private void getFrame(object sender, EventArgs arg)
{
try
{
m = capture.QueryFrame();
displayImage(m.Bitmap);
if (!detectWorker.IsBusy)
{
if (!detectWorker.CancellationPending)
{
detectWorker.RunWorkerAsync();
}
}
}
catch (NullReferenceException e)
{
Application.Idle -= getFrame;
capture.Stop();
MessageBox.Show(e.Message);
}
}
void Web()
{
SqlConnection con;
SqlCommand cmd;
string id = getID();
//Get the current frame from capture device
// currentFrame = grabber.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
DsDevice[] _SystemCamereas = DsDevice.GetDevicesOfCat(FilterCategory.VideoInputDevice);
if (_SystemCamereas.Length > 0)
{
grabber.QueryFrame(); grabber.QueryFrame();
currentFrame = grabber.QueryFrame(); //draw the image obtained from camera
imageBoxFrameGrabber.Image = currentFrame;
imageBoxFrameGrabber.Image.Save("WebCam.jpg");
Image img = Image.FromFile("WebCam.jpg");
MemoryStream tmpStream = new MemoryStream();
img.Save(tmpStream, ImageFormat.Jpeg);
byte[] imgBytes = new byte[1304140];
tmpStream.Read(imgBytes, 0, 1304140);
byte[] image = null;
string filepath = "WebCam.jpg";
FileStream fs = new FileStream(filepath, FileMode.Open, FileAccess.Read);
BinaryReader br = new BinaryReader(fs);
image = br.ReadBytes((int)fs.Length);
string sql = " Update table1 Set Web = @Imgg where Id='" + id + "'";
con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
if (con.State != ConnectionState.Open)
{
con.Open();
}
cmd = new SqlCommand(sql, con);
cmd.Parameters.Add(new SqlParameter("@Imgg", image));
int x = cmd.ExecuteNonQuery();
con.Close();
}
}
//процедура по сверке лица из базы с камерой
private void FrameProcedure(object sender, EventArgs e)
{
//проверка на всякий случай
try
{
//добавляю новое лицо, не имеющее (пока что) имени
Users.Add("");
//создаю объект Frame, устанавливаю для него разрешение камеры (855х588)
Frame = camera.QueryFrame().Resize(cameraBox.Width, cameraBox.Height, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//делаю изображение чёрно-белым
grayFace = Frame.Convert <Gray, Byte>();
MCvAvgComp[][] facesDetectedNow = grayFace.DetectHaarCascade(faceDetected, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(20, 20));
//беру КАЖДОЕ фото из "базы лиц" и делаю для каждого лица следующее
foreach (MCvAvgComp f in facesDetectedNow[0])
{
//изменяю размер "лица", делаю его чёрно-белым
result = Frame.Copy(f.rect).Convert <Gray, Byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//делаю обводку лица зелёного цвета в ширине линии = 3
Frame.Draw(f.rect, new Bgr(Color.Green), 3);
//если фото из базы совпадает, то....
if (trainingImames.ToArray().Length != 0)
{
MCvTermCriteria termCriterias = new MCvTermCriteria(Count, 0.001);
//распознаю лицо из базы (создаю объект, который распознаёт лицо)
EigenObjectRecognizer recognizer = new EigenObjectRecognizer(trainingImames.ToArray(), labels.ToArray(), 1500, ref termCriterias);
//вывожу имя (name)
name = recognizer.Recognize(result);
//делаю подпись имени лица в зависимости от координат, в которых находится зелёный "квадрат" обводки лица
//т.е. отталкиваюсь от предыдущих координат лица, которые получены были выше
Frame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.Red));
}
//если ничего не нашёл, печатаю пустоту
Users.Add("");
}
//вывод найденого лица в label4
if (name == "")
{
metroLabel3.Text = "Лица нет в базе лиц";
metroLabel5.Text = "или";
metroLabel6.Text = "Лицо не найдено";
}
else
{
metroLabel3.Text = name;
metroLabel5.Text = "";
metroLabel6.Text = "";
}
//пытаюсьь, подключена ли камера. В случае чего, вывожу ошибку
try
{
cameraBox.Image = Frame;
name = "";
Users.Clear();
}
catch (Exception)
{
//вывод сообщения и закрытие приложения, если всё плохо
var camfail = MessageBox.Show("Похоже, что камера не была обнаружена. Вы уверены, что камера подключена и стабильно работает?", "Камера не обнаружена", MessageBoxButtons.YesNo, MessageBoxIcon.Question);
if (camfail == DialogResult.Yes)
{
cameraBox.Image = Frame;
name = "";
Users.Clear();
}
if (camfail == DialogResult.No)
{
MessageBox.Show("Попробуйте перезапустить компьютер. Если ошибка не исчезла, сообщите на почту: [email protected]", "Спасибо", MessageBoxButtons.OK, MessageBoxIcon.None);
Close();
Environment.Exit(0);
Application.Exit();
}
}
}
catch (Exception)
{
//вывод сообщения и закрытие приложения, если всё плохо
var camfail = MessageBox.Show("Похоже, что камера не была обнаружена. Вы уверены, что камера подключена и стабильно работает?", "Камера не обнаружена", MessageBoxButtons.YesNo, MessageBoxIcon.Question);
if (camfail == DialogResult.Yes)
{
}
if (camfail == DialogResult.No)
{
MessageBox.Show("Попробуйте перезапустить компьютер. Если ошибка не исчезла, сообщите на почту: [email protected]", "Спасибо", MessageBoxButtons.OK, MessageBoxIcon.None);
Close();
Environment.Exit(0);
Application.Exit();
}
}
}
private void GetCameraXY(System.Windows.Forms.PictureBox picturebox1, System.Windows.Forms.PictureBox picturebox2)
{
Image <Bgr, Byte> frame = capture.QueryFrame();
//Image<Bgr, Byte> frame = new Image<Bgr, Byte>("Capture.jpg");
if (frame != null)
{
Image <Gray, Byte> gray = frame.Convert <Gray, Byte>();
double cannyThreshold = 180.0;
double cannyThresholdLinking = 120.0;
Image <Gray, Byte> cannyEdges = gray.Canny(cannyThreshold, cannyThresholdLinking);
List <Triangle2DF> triangleList = new List <Triangle2DF>();
List <MCvBox2D> boxList = new List <MCvBox2D>(); //a box is a rotated rectangle
using (MemStorage storage = new MemStorage()) //allocate storage for contour approximation
for (
Contour <Point> contours = cannyEdges.FindContours(
Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_SIMPLE,
Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_LIST,
storage);
contours != null;
contours = contours.HNext)
{
Contour <Point> currentContour = contours.ApproxPoly(contours.Perimeter * 0.05, storage);
if (currentContour.Area > 400 && currentContour.Area < 20000) //only consider contours with area greater than 250
{
if (currentContour.Total == 4) //The contour has 4 vertices.
{
// determine if all the angles in the contour are within [80, 100] degree
bool isRectangle = true;
Point[] pts = currentContour.ToArray();
LineSegment2D[] edges = PointCollection.PolyLine(pts, true);
for (int i = 0; i < edges.Length; i++)
{
double angle = Math.Abs(
edges[(i + 1) % edges.Length].GetExteriorAngleDegree(edges[i]));
if (angle < 80 || angle > 100)
{
isRectangle = false;
break;
}
}
if (isRectangle)
{
boxList.Add(currentContour.GetMinAreaRect());
}
}
}
}
Image <Bgr, Byte> triangleRectangleImage = frame.CopyBlank();
foreach (Triangle2DF triangle in triangleList)
{
triangleRectangleImage.Draw(triangle, new Bgr(Color.DarkBlue), 2);
}
foreach (MCvBox2D box in boxList)
{
frm.SetText(frm.Controls["textBoxImageY"], box.center.Y.ToString());
frm.SetText(frm.Controls["textBoxDeg"], box.angle.ToString());
frm.SetText(frm.Controls["textBoxImageX"], box.center.X.ToString());
CameraHasData = true;
triangleRectangleImage.Draw(box, new Bgr(Color.DarkOrange), 2);
}
// add cross hairs to image
int totalwidth = frame.Width;
int totalheight = frame.Height;
PointF[] linepointshor = new PointF[] {
new PointF(0, totalheight / 2),
new PointF(totalwidth, totalheight / 2)
};
PointF[] linepointsver = new PointF[] {
new PointF(totalwidth / 2, 0),
new PointF(totalwidth / 2, totalheight)
};
triangleRectangleImage.DrawPolyline(Array.ConvertAll <PointF, Point>(linepointshor, Point.Round), false, new Bgr(Color.AntiqueWhite), 1);
triangleRectangleImage.DrawPolyline(Array.ConvertAll <PointF, Point>(linepointsver, Point.Round), false, new Bgr(Color.AntiqueWhite), 1);
picturebox2.Image = triangleRectangleImage.ToBitmap();
frame.DrawPolyline(Array.ConvertAll <PointF, Point>(linepointshor, Point.Round), false, new Bgr(Color.AntiqueWhite), 1);
frame.DrawPolyline(Array.ConvertAll <PointF, Point>(linepointsver, Point.Round), false, new Bgr(Color.AntiqueWhite), 1);
picturebox1.Image = frame.ToBitmap();
}
}
void Framewebcam(object sender, EventArgs e)
{
//label3.Text = "0";
//label4.Text = "";
NamePersons.Add("");
//Get the current frame form capture device
currentFrame = webcam.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//Convert it to Grayscale
gray = currentFrame.Convert <Gray, Byte>();
//Face Detector
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
1.2,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(20, 20));
//Action for each element detected
foreach (MCvAvgComp f in facesDetected[0])
{
t = t + 1;
result = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//draw the face detected in the 0th (gray) channel with blue color
currentFrame.Draw(f.rect, new Bgr(Color.Red), 2);
if (trainingImages.ToArray().Length != 0)
{
//TermCriteria for face recognition with numbers of trained images like maxIteration
MCvTermCriteria termCrit = new MCvTermCriteria(ContTrain, 0.001);
//Eigen face recognizer
#pragma warning disable CS0436 // Type conflicts with imported type
#pragma warning disable CS0436 // Type conflicts with imported type
EigenObjectRecognizer recognizer = new EigenObjectRecognizer(
#pragma warning restore CS0436 // Type conflicts with imported type
#pragma warning restore CS0436 // Type conflicts with imported type
trainingImages.ToArray(),
labels.ToArray(),
3000,
ref termCrit);
name = recognizer.Recognize(result);
//Draw the label for each face detected and recognized
currentFrame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.LightGreen));
}
NamePersons[t - 1] = name;
NamePersons.Add("");
//Set the number of faces detected on the scene
label3.Text = dataGridView1.Rows.Count.ToString();
//facesDetected[0].Length.ToString();
/*
* //Set the region of interest on the faces
*
* gray.ROI = f.rect;
* MCvAvgComp[][] eyesDetected = gray.DetectHaarCascade(
* eye,
* 1.1,
* 10,
* Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
* new Size(20, 20));
* gray.ROI = Rectangle.Empty;
*
* foreach (MCvAvgComp ey in eyesDetected[0])
* {
* Rectangle eyeRect = ey.rect;
* eyeRect.Offset(f.rect.X, f.rect.Y);
* currentFrame.Draw(eyeRect, new Bgr(Color.Blue), 2);
* }
*/
}
t = 0;
//Names concatenation of persons recognized
for (int nnn = 0; nnn < facesDetected[0].Length; nnn++)
{
names = names + NamePersons[nnn];
}
//Show the faces procesed and recognized
imageBoxFramewebcam.Image = currentFrame;
label4.Text = names;
names = "";
//Clear the list(vector) of names
NamePersons.Clear();
if (label4.Text != names)
{
OleDbCommand cmd = new OleDbCommand();
cmd.CommandText = "INSERT INTO [Table1] ([sinfo],[time]) VALUES (@info, @time)";
cmd.Connection = connection;
connection.Open();
if (connection.State == System.Data.ConnectionState.Open)
{
cmd.Parameters.Add("@info", OleDbType.VarChar).Value = label4.Text;
cmd.Parameters.Add("@time", OleDbType.VarChar).Value = DateTime.Now.ToShortTimeString();
try
{
cmd.ExecuteNonQuery();
dataGridView1.Rows.Add();
dataGridView1.Rows[dataGridView1.Rows.Count - 1].Cells[0].Value = dataGridView1.Rows.Count - 1;
dataGridView1.Rows[dataGridView1.Rows.Count - 1].Cells[1].Value = label4.Text;
dataGridView1.Rows[dataGridView1.Rows.Count - 1].Cells[2].Value = DateTime.Now.ToShortTimeString();
connection.Close();
}
catch (OleDbException)
{
connection.Close();
}
}
else
{
MessageBox.Show("Connection Failed");
}
/*
* connection.Open();
* OleDbCommand comd = new OleDbCommand();
* comd.CommandText = "SELECT * FROM Table1";
* comd.Connection = connection;
* connection.Open();
* cmd.ExecuteNonQuery();
*
* dataGridView1.Rows.Add();
* dataGridView1.Rows[dataGridView1.Rows.Count - 1].Cells[0].Value = dataGridView1.Rows.Count - 1;
* dataGridView1.Rows[dataGridView1.Rows.Count - 1].Cells[1].Value = label4.Text;
* dataGridView1.Rows[dataGridView1.Rows.Count - 1].Cells[2].Value = DateTime.Now.ToShortTimeString();
*/
}
}
void timer_Tick(object sender, EventArgs e)
{
string id = getID(), text = GetMACAddress();
SqlConnection con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
SqlCommand cmd;
SqlDataReader dr;
cmd = new SqlCommand("Select Control from table1 where Id='" + id + "'", con);
con.Open();
dr = cmd.ExecuteReader();
dr.Read();
if (Convert.ToString(dr[0]) == "2")
{
con.Close();
con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
cmd = new SqlCommand("Update table1 Set Control='1' where ID='" + id + "'", con);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
fullScreen();
}
else if (Convert.ToString(dr[0]) == "5")
{
con.Close();
con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
cmd = new SqlCommand("Update table1 Set Control='1' where ID='" + id + "'", con);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
logoff();
}
else if (Convert.ToString(dr[0]) == "4")
{
con.Close();
this.WindowState = FormWindowState.Minimized;
con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
cmd = new SqlCommand("Update table1 Set Control='1' where ID='" + id + "'", con);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
}
else if (Convert.ToString(dr[0]) == "3")
{
con.Close();
con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
cmd = new SqlCommand("Update table1 Set Control='1' where ID='" + id + "'", con);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
screenCapture(true);
this.Close();
Process.Start("PCBC.exe");
}
else if (Convert.ToString(dr[0]) == "6")
{
con.Close();
con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
cmd = new SqlCommand("Update table1 Set Control='1' where ID='" + id + "'", con);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
Process.Start("shutdown", "/s /t 0");
}
else if (Convert.ToString(dr[0]) == "7")
{
con.Close();
con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
cmd = new SqlCommand("Update table1 Set Control='1' where ID='" + id + "'", con);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
grabber = new Emgu.CV.Capture();
grabber.QueryFrame();
Web();
this.Close();
Process.Start("PCBC.exe");
}
else if (Convert.ToString(dr[0]) == "8")
{
con.Close();
con = new SqlConnection("workstation id=MyPDBPCC.mssql.somee.com;packet size=4096;user id=cma93_SQLLogin_1;pwd=jztlqk3kqs;data source=MyPDBPCC.mssql.somee.com;persist security info=False;initial catalog=MyPDBPCC");
cmd = new SqlCommand("Update table1 Set Control='1' where ID='" + id + "'", con);
con.Open();
cmd.ExecuteNonQuery();
con.Close();
localFetchImages();
Process.Start("PCBC.exe");
}
}
private void Timer畫面運作_Tick(object sender, EventArgs e)
{
Image <Bgr, Byte> 框架 = cap.QueryFrame();
pictureBox1.Image = 框架.ToBitmap();
}
void FrameGrabber(object sender, EventArgs e)
{
label3.Text = "0";
//label4.Text = "";
NamePersons.Add("");
//Get the current frame form capture device
currentFrame = grabber.QueryFrame().Resize(320, 240, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//Convert it to Grayscale
gray = currentFrame.Convert <Gray, Byte>();
//Face Detector
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(
face,
1.2,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(20, 20));
//Action for each element detected
foreach (MCvAvgComp f in facesDetected[0])
{
t = t + 1;
result = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
//draw the face detected in the 0th (gray) channel with blue color
currentFrame.Draw(f.rect, new Bgr(Color.Red), 2);
if (trainingImages.ToArray().Length != 0)
{
//TermCriteria for face recognition with numbers of trained images like maxIteration
MCvTermCriteria termCrit = new MCvTermCriteria(ContTrain, 0.001);
//Eigen face recognizer
EigenObjectRecognizer recognizer = new EigenObjectRecognizer(
trainingImages.ToArray(),
labels.ToArray(),
3000,
ref termCrit);
name = recognizer.Recognize(result);
//Draw the label for each face detected and recognized
currentFrame.Draw(name, ref font, new Point(f.rect.X - 2, f.rect.Y - 2), new Bgr(Color.LightGreen));
}
NamePersons[t - 1] = name;
NamePersons.Add("");
//Set the number of faces detected on the scene
label3.Text = facesDetected[0].Length.ToString();
}
t = 0;
//Names concatenation of persons recognized
for (int nnn = 0; nnn < facesDetected[0].Length; nnn++)
{
names = names + NamePersons[nnn] + ", ";
}
//Show the faces procesed and recognized
imageBoxFrameGrabber.Image = currentFrame;
label4.Text = names;
names = "";
//Clear the list(vector) of names
NamePersons.Clear();
}
//Кнопка "Начать работу алгоритма"
private void start_Click(object sender, EventArgs e)
{
//прячу и показываю необходимые кнопки
start.Visible = false;
metroButton1.Visible = true;
label1.Visible = true;
textName.Visible = true;
metroComboBox1.Visible = true;
metroCheckBox1.Visible = true;
metroLabel1.Visible = true;
metroLabel2.Visible = true;
metroTrackBar1.Visible = true;
metroLabel4.Visible = true;
metroLabel3.Visible = true;
metroLabel5.Visible = true;
metroLabel6.Visible = true;
metroLabel7.Visible = false;
metroButton2.Visible = true;
metroButton5.Visible = true;
metroButton6.Visible = true;
//проверяю, существует ли камера и подключаюсь к ней, показываю её и запускаю процедуру
try
{
camera = new Emgu.CV.Capture();
camera.QueryFrame();
Application.Idle += new EventHandler(FrameProcedure);
}
catch (Exception)
{
//вывод сообщения и закрытие приложения, если всё плохо
var camfail = MessageBox.Show("Похоже, что камера не была обнаружена. Вы уверены, что камера подключена и стабильно работает?", "Камера не обнаружена", MessageBoxButtons.YesNo, MessageBoxIcon.Question);
if (camfail == DialogResult.Yes)
{
try
{
camera = new Emgu.CV.Capture();
camera.QueryFrame();
Application.Idle += new EventHandler(FrameProcedure);
}
catch { }
}
if (camfail == DialogResult.No)
{
MessageBox.Show("Попробуйте перезапустить компьютер. Если ошибка не исчезла, сообщите на почту: [email protected]", "Спасибо", MessageBoxButtons.OK, MessageBoxIcon.None);
DirectoryInfo di = new DirectoryInfo(Application.StartupPath + "/Faces/");
try
{
foreach (FileInfo file in di.EnumerateFiles())
{
try
{
file.Delete();
}
catch (Exception) { }
}
foreach (DirectoryInfo dir in di.EnumerateDirectories())
{
try
{
dir.Delete(true);
}
catch (Exception) { }
}
//чистка всех переменных
di.Delete();
Count = 0;
trainingImames.Clear();
labels.Clear();
name = null;
metroComboBox1.Items.Clear();
Environment.Exit(0);
Application.Exit();
}
catch
{
//повторная чистка и закрытие приложения
Count = 0;
trainingImames.Clear();
labels.Clear();
name = null;
metroComboBox1.Items.Clear();
Close();
Environment.Exit(0);
Application.Exit();
}
Close();
Environment.Exit(0);
Application.Exit();
}
}
}
private bool FindNextFrame()
{
bool b_NeedStop = false;
if (currentFileName.Length > 4 && cap != null)
{
using (Mat image = cap.QueryFrame())
{
SetPrevFrame();
Mat nextFrame = image;
if (image == null)
{
nextFrame = GetNextFile();
}
updateFrameNumber();
bool stop = false;
while (nextFrame != null && !stop)
{
SetPrevFrame();
SkipNFrames();
if (nextFrame != null && testDiff())
{
if (!b_AutoRun)
{
pictureBox1.Image = nextFrame.Bitmap.Clone() as Bitmap;
pictureBox1.Refresh();
}
stop = true;
}
if (b_listFinished)
{
break;
}
}
if (nextFrame == null && b_listFinished)
{
button2.Enabled = false;
MessageBox.Show("Обработка окончена");
//pictureBox1.Image = prevFrame.Bitmap.Clone() as Bitmap;
b_NeedStop = true;
}
else
{
SetPrevFrame();
if (!b_AutoRun)
{
pictureBox1.Image = nextFrame.Bitmap.Clone() as Bitmap;
}
}
if (!b_AutoRun)
{
pictureBox1.Refresh();
}
}
}
return(b_NeedStop);
}
private void timImage_Tick(object sender, EventArgs e)
{
Emgu.CV.Image <Bgr, Byte> photo = imgCapture.QueryFrame();
picProfile.Image = photo.ToBitmap();
}
public void FrameGrabber(object sender, EventArgs e) //Frame grabber event
{
try
{
if (imageCaptured == false)
{
//initialize current frame with query grabber which is catching the frame
currentFrame = grabber.QueryFrame().Resize(501, 407, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC); //resizing the frame with cubic frame
// Converting image frame to gray scale (image processing)
gray = currentFrame.Convert <Gray, Byte>();
// Detecting face by using Haar Classifier
MCvAvgComp[][] facesDetected = gray.DetectHaarCascade(face, 1.2, 1, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new System.Drawing.Size(20, 20));
MCvAvgComp[][] eyesDetected = gray.DetectHaarCascade(eyes, 1.2, 5, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new System.Drawing.Size(20, 20));
MCvAvgComp[][] mouthDetected = gray.DetectHaarCascade(mouth, 1.2, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new System.Drawing.Size(50, 50));
MCvAvgComp[][] noseDetected = gray.DetectHaarCascade(nose, 1.2, 5, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new System.Drawing.Size(20, 20));
//face is name of the haar cascade, giving sizes to the cascade, applying canny pruning on haar classifier
// Checking each frame of image processed by the classifer through ImageBox (video is processed as image frames for face detection), then detect face
foreach (MCvAvgComp f in facesDetected[0])
{
// If face is detected then increment t into 1 = True
faceCount = faceCount + 1;
// Copy detected face in a frame name as resultFace (gray.resultFace)
resultFace = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
// Drawing rectangle around on detected image (face)
currentFrame.Draw(f.rect, new Bgr(System.Drawing.Color.Red), 2);
}
foreach (MCvAvgComp f in eyesDetected[0])
{
// If face is detected then increment t into 1 = True
eyeCount = eyeCount + 1;
// Copy detected face in a frame name as resultFace (gray.resultFace)
resultEyes = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
// Drawing rectangle around on detected image
currentFrame.Draw(f.rect, new Bgr(System.Drawing.Color.White), 2);
}
foreach (MCvAvgComp f in mouthDetected[0])
{
// If face is detected then increment t into 1 = True
mouthCount = mouthCount + 1;
// Copy detected face in a frame name as resultFace (gray.resultFace)
resultMouth = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
// Drawing rectangle around on detected image
currentFrame.Draw(f.rect, new Bgr(System.Drawing.Color.Green), 2);
}
foreach (MCvAvgComp f in noseDetected[0])
{
// If face is detected then increment t into 1 = True
noseCount = noseCount + 1;
// Copy detected face in a frame name as resultFace (gray.resultFace)
resultNose = currentFrame.Copy(f.rect).Convert <Gray, byte>().Resize(100, 100, Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
// Drawing rectangle around on detected image
currentFrame.Draw(f.rect, new Bgr(System.Drawing.Color.Blue), 2);
}
//View current frame in the imported ImageBox
imgBox.Image = currentFrame; //current frame = captured from the camera into the imagebox
if (faceCount > 0 & eyeCount > 0 & mouthCount > 0 & noseCount > 0)
{
ExtractFeatures();
}
}
}
catch (Exception ex)
{
MessageBox.Show("Press Ok to Continue");
}
}
