private void capture()
{
if (System.Configuration.ConfigurationManager.AppSettings["Verify"] != "file")
{
if (_camera == null)
{
LogLine("No camera set", true);
return;
}
try
{
if (_pendingFormat != null)
{
_camera.SetCurrentFormat(_pendingFormat);
_pendingFormat = null;
}
_camera.StartCapturing();
UpdateFormatList();
startCapturing();
}
catch (Exception ex)
{
ShowError(ex.Message);
}
}
else
{
enrollFromImage(true); // to view2
score = Identify(_capturedTemplateList, _enrolledTemplateList);
LogLine(string.Format("Face match details: score {0}.", score), true);
backgroundWorker_RunWorkerCompleted(null, null);
}
}
private void backgroundWorker_DoWork(object sender, DoWorkEventArgs e)
{
try
{
activeCamera = (NCamera)e.Argument;
activeCamera.StartCapturing();
while (activeCamera.IsCapturing)
{
if (backgroundWorker.CancellationPending)
{
activeCamera.StopCapturing();
}
if (activeCamera != null && activeCamera.IsCapturing)
{
using (NImage image = activeCamera.GetFrame())
{
video = image.ToBitmap();
using (NLExtractor extractor = new NLExtractor())
{
// convert image to grayscale
NGrayscaleImage grayscale = (NGrayscaleImage)NImage.FromImage(NPixelFormat.Grayscale, 0, image);
extractor.MaxRecordsPerTemplate = 1;
// detect all faces that are suitable for face recognition in the image
NleFace[] faces = extractor.DetectFaces(grayscale);
//NleDetectionDetails[] detectionDetails
facedetectdetails = new NleDetectionDetails[faces.Length];
for (int i = 0; i < facedetectdetails.Length; i++)
{
facedetectdetails[i] = extractor.DetectFacialFeatures(grayscale, faces[i]);
}
facesView.DrawConfidenceForEyes = true;
facesView.DrawFaceConfidence = true;
facesView.DetectionDetails = facedetectdetails;
for (int i = 0; i < facedetectdetails.Length; i++)
{
faceAvailabilityStatus = facedetectdetails[i].FaceAvailable;
}
if (facesView.DrawConfidenceForEyes == true & facesView.DrawFaceConfidence == true)
{
faceAvailabilityStatus = true;
}
else
{
faceAvailabilityStatus = false;
}
}
}
}
}
}
catch (Exception exp)
{
// MessageBox.Show("Error Capturing Image - Close and re-open browser window");
// Logger.LogError(exp.ToString());
//errorLog.Append(exp.ToString() + Environment.NewLine);
e.Cancel = true;
}
}
private void getLiveVideo()
{
// what if the camera is disconnected during feed?
verifyLicense();
NLExtractor liveExtractor = new NLExtractor();
NleFace [] theseFaces = null;
List <NleDetectionDetails> faceDetails = new List <NleDetectionDetails> ();
liveExtractor.DetectAllFeaturePoints = false; // False, will only detect eyes.
NGrayscaleImage liveGrayImage;
Bitmap displayBmp;
Draw drawfeatures = new Draw();
myPen = new System.Drawing.Pen(System.Drawing.Color.Blue, 2);
System.Drawing.Point faceConfLoc = new System.Drawing.Point();
System.Drawing.Point rEye = new System.Drawing.Point();
System.Drawing.Point lEye = new System.Drawing.Point();
var timer = new System.Diagnostics.Stopwatch();
int timeSpan;
int elapsed = 0;
int frameDelay = 1000 / frameRate;
int autoDetectDelay = 0;
int largestFaceNumber = 0;
camera.StartCapturing();
while (isLive == true)
{
// this loop only draws on the live display box. Largest face is detected elsewhere.
try {
currentImage = camera.GetFrame();
if (currentImage != null)
{
currentImage.FlipHorizontally();
// create grayscale image for extractor operations
liveGrayImage = currentImage.ToGrayscale();
displayBmp = currentImage.ToBitmap();
theseFaces = liveExtractor.DetectFaces(liveGrayImage);
int largestFaceWidth = 0;
int liveFaceCount = theseFaces.Count();
if (liveFaceCount > 0)
{
if (faceDetails.Count() != 0)
{
faceDetails.Clear();
}
for (int i = 0; i < theseFaces.Length; i++)
{
faceDetails.Add(liveExtractor.DetectFacialFeatures(liveGrayImage, theseFaces [i]));
faceConfLoc.X = faceDetails [i].Face.Rectangle.Left;
faceConfLoc.Y = faceDetails [i].Face.Rectangle.Bottom;
rEye.X = faceDetails [i].RightEyeCenter.X;
rEye.Y = faceDetails [i].RightEyeCenter.Y;
lEye.X = faceDetails [i].LeftEyeCenter.X;
lEye.Y = faceDetails [i].LeftEyeCenter.Y;
if (boundingBoxOn)
{
displayBmp = drawfeatures.drawFaceRectangle(faceDetails [i], displayBmp, myPen);
}
if (faceConfCheckBox.Checked)
{
displayBmp = drawfeatures.faceConfidence(displayBmp, (int)faceDetails [i].Face.Confidence, faceConfLoc, myPen);
}
if (drawEyesCheckBox.Checked)
{
displayBmp = drawfeatures.connect(displayBmp, rEye, lEye, myPen);
}
if (showEyeCheckBox.Checked)
{
displayBmp = drawfeatures.confidence(displayBmp, faceDetails [i].LeftEyeCenter.Confidence, lEye, myPen);
displayBmp = drawfeatures.confidence(displayBmp, faceDetails [i].RightEyeCenter.Confidence, rEye, myPen);
}
if (faceDetails [i].Face.Rectangle.Width > largestFaceWidth)
{
largestFaceNumber = i;
}
globalInsetFaceBmp = drawfeatures.snipFace(currentImage.ToBitmap(), faceDetails [largestFaceNumber]); //make face clipping here
}
if (autoDetect)
{
autoDetectDelay++;
}
}
liveGrayImage.Dispose();
currentImage.Dispose();
if (matchNow || autoDetectDelay == 50)
{
autoDetectDelay = 0;
attemptMatch();
}
// display image on pictureBox
if (mainFeedPictureBox.InvokeRequired)
{
mainFeedPictureBox.Invoke(new Action(() => mainFeedPictureBox.Image = displayBmp));
}
else
{
mainFeedPictureBox.Image = displayBmp;
}
timer.Stop();
elapsed = (Int32)timer.ElapsedMilliseconds;
timeSpan = frameDelay - elapsed;
if (timeSpan < 0)
{
timeSpan = 0;
}
Thread.Sleep(timeSpan);
timer.Reset();
theseFaces = null;
}
} catch (Exception ex) {
// do nothing
}
}
camera.StopCapturing();
}
