private void recognizeButton_Click(object sender, EventArgs e)
{
Webcam.Retrieve(Frame);
var imageFrame = Frame.ToImage <Gray, byte>();
if (imageFrame != null)
{
var faces = FaceDetection.DetectMultiScale(imageFrame, 1.3, 5);
Console.WriteLine($"Faces detected: {faces.Count()}");
if (faces.Count() != 0)
{
var processedImage = imageFrame.Copy(faces[0]).Resize(ProcessedImageWidth, ProcessedImageHeight, Emgu.CV.CvEnum.Inter.Cubic);
try
{
var result = FaceRecognition.Predict(processedImage);
Console.WriteLine(CheckRecognizeResults(result, _threshold));
}
catch (Exception ex)
{
//Console.WriteLine("No faces trained, can't recognize");
}
}
else
{
//Console.WriteLine("No faces found");
}
}
}
private void Timer_Tick1(object sender, EventArgs e)
{
Webcam.Retrieve(Frame);
var imageFrame = Frame.ToImage <Gray, byte>();
if (imageFrame != null)
{
var faces = FaceDetection.DetectMultiScale(imageFrame, 1.3, 5);
if (faces.Count() != 0)
{
Image <Gray, byte> processedImage = imageFrame.Copy(faces[0]).Resize(ProcessedImageWidth, ProcessedImageHeight, Inter.Cubic);
result = FaceRecognition.Predict(processedImage);
foreach (var id in listOfIds)
{
if (result.Label == id)
{
isUnknown = false;
isPredicted = true;
}
else
{
isUnknown = true;
}
}
}
}
}
public void Webcam_ImageGrabbed(object sender, EventArgs e)
{
Webcam.Retrieve(Frame);
var ImageFrame = Frame.ToImage <Bgr, byte>();
if (ImageFrame != null)
{
var grayFrame = ImageFrame.Convert <Gray, byte>();
var faces = FaceDetection.DetectMultiScale(grayFrame, 1.3, 5); // Et array af firkanter, som holder alle ansigter den finder.
// var eyes = EyeDetection.DetectMultiScale(grayFrame, 1.3, 5); // Samme med øjne
foreach (var face in faces)
{
ImageFrame.Draw(face, new Bgr(Color.LimeGreen), 3);
if (result.Label != -1 || isPredicted && doneTraining)
{
try
{
Graphics graphicImage1 = Graphics.FromImage(ImageFrame.Bitmap);
graphicImage1.DrawString(listOfNames[result.Label - 1],
new Font("Arial",
15, FontStyle.Bold),
new SolidBrush(Color.LimeGreen),
new Point(face.X, face.Y));
}
catch (Exception exception)
{
//No action as the error is useless, it is simply an error in
//no data being there to process and this occurss sporadically
}
}
if (result.Label == 0 || result.Label == -1)
{
Graphics graphicImage2 = Graphics.FromImage(ImageFrame.Bitmap);
graphicImage2.DrawString("Unknown",
new Font("Arial",
15, FontStyle.Bold),
new SolidBrush(Color.Red),
new Point(face.X, face.Y));
}
}
// ID checker
Graphics graphicImage = Graphics.FromImage(ImageFrame.Bitmap);
graphicImage.DrawString($"Face ID: " + result.Label.ToString(),
new Font("Arial",
15, FontStyle.Bold),
new SolidBrush(Color.LimeGreen),
new Point(0, 50));
WebcamBox.Image = ImageFrame.ToBitmap(); // shows frames in the UI.
}
}
private void Timer_Tick(object sender, EventArgs e)
{
Webcam.Retrieve(Frame);
var imageFrame = Frame.ToImage <Gray, byte>();
if (TimerCounter < TimeLimit)
{
TimerCounter++;
if (imageFrame != null)
{
Rectangle[] faces = FaceDetection.DetectMultiScale(imageFrame, 1.3, 5);
if (faces.Any())
{
var processedImage = imageFrame.Copy(faces[0]).Resize(ProcessedImageWidth, ProcessedImageHeight, Inter.Cubic); // Will zoom into the rectangle it finds to only see that.
Faces.Add(processedImage.Mat);
IDs.Add(userId);
ScanCounter++;
OutputBox.AppendText($"{ScanCounter} Successful Scans Taken...{Environment.NewLine}");
OutputBox.ScrollToCaret();
}
}
}
else
{
FaceRecognition.Train(new VectorOfMat(Faces.ToArray()), new VectorOfInt(IDs.ToArray())); // Here we finally train on face and ID collection we just captures and is written to the pathfile "YMLPath"
FaceRecognition.Write(YMLPath);
Timer.Stop();
TimerCounter = 0;
//IDBox.Clear();
nameBox.Clear();
TrainButton.Enabled = !TrainButton.Enabled;
//IDBox.Enabled = !IDBox.Enabled;
nameBox.Enabled = !nameBox.Enabled;
OutputBox.AppendText($"Training Complete! {Environment.NewLine}");
//MessageBox.Show("Training Complete");
doneTraining = true;
Timer = new Timer();
Timer.Interval = 500; // ticks every 0.5 sec
Timer.Tick += Timer_Tick1; // this method gets called every time the timer fires.
Timer.Start();
}
}
private void Webcam_ImageGrabbed(object sender, EventArgs e)
{
currentPeople = new List <Person>();
Webcam.Retrieve(Frame);
var imageFrame = Frame.ToImage <Bgr, byte>();
if (imageFrame != null)
{
var grayFrame = imageFrame.Convert <Gray, byte>();
var faces = FaceDetection.DetectMultiScale(grayFrame, 1.3, 5);
//var eyes = EyeDetection.DetectMultiScale(grayFrame, 1.3, 5);
if ((flags & (byte)~Flags.FACE_SQUARE) != 0 && faces.Count() != 0)
{
foreach (var face in faces)
{
var processedImage = grayFrame.Copy(face).Resize(ProcessedImageWidth, ProcessedImageHeight, Emgu.CV.CvEnum.Inter.Cubic);
try
{
var result = FaceRecognition.Predict(processedImage);
//var id = CheckRecognizeResults(result, _threshold);
var recognisedPerson = CheckRecognizeResults(result, _threshold);
var personNameIfFound = recognisedPerson == null
? "Spooky ghost no. " + result.Label.ToString()
: recognisedPerson.Name;
imageFrame.Draw(personNameIfFound, face.Location, FontFace.HersheyTriplex, 1.0, new Bgr(Color.Chartreuse)); //since we dont store person objects over restarts we wont have any info about the id
}
catch (Exception ex)
{
Console.WriteLine("Message: " + ex.Message + " Data: " + ex.Data);
}
imageFrame.Draw(face, new Bgr(Color.BurlyWood), 3);
}
}
/*if (EyeSquare)
* {
* foreach (var eye in eyes)
* {
* imageFrame.Draw(eye, new Bgr(Color.Yellow), 3);
* }
* }*/
picLiveFeed.Image = imageFrame.ToBitmap();
}
}
