private void backgroundWorker_DoWork(object sender, DoWorkEventArgs e)
{
bool extractionStarted = false;
try
{
NImage frame = null;
NGrayscaleImage grayscaleImage = null;
int frameNumber = 0;
int bestFrame;
int frameCount = Tools.LiveEnrolFrameCount;
_extractor.DetectAllFeaturePoints = false;
while (backgroundWorker.CancellationPending == false)
{
if (_pendingFormat != null && _fromCamera)
{
_camera.SetCurrentFormat(_pendingFormat);
_pendingFormat = null;
}
if (!_fromCamera && _pause)
{
System.Threading.Thread.Sleep(500);
continue;
}
try
{
TimeSpan duration = TimeSpan.Zero;
TimeSpan timeStamp = TimeSpan.Zero;
if (_fromCamera)
{
frame = _camera.GetFrame();
}
else
{
lock (_readerLock)
{
frame = _videoReader.ReadVideoSample(out timeStamp, out duration);
}
}
if (frame == null) //camera unplugged or end of file
{
createFaceRecord = false;
SetImageToView(null, null, null, NleExtractionStatus.None, -1, timeStamp);
return;
}
using (grayscaleImage = frame.ToGrayscale())
{
if (createFaceRecord)
{
NleDetectionDetails details;
NLTemplate template = null;
//NBuffer template = null;
if (!extractionStarted)
{
UpdateExtractorTemplateSize();
frameCount = Tools.LiveEnrolFrameCount;
_extractor.ExtractStart();
extractionStarted = true;
frameNumber = 0;
ClearCapturedImages();
}
frameNumber++;
NleExtractionStatus status = _extractor.ExtractNext(grayscaleImage, out details);
capturedImages.Add((NImage)frame.Clone());
if (status != NleExtractionStatus.None || frameNumber >= frameCount)
{
template = _extractor.ExtractEnd(out bestFrame, out status);
if (status == NleExtractionStatus.TemplateCreated)
{
NTemplate nTemplate = new NTemplate();
NImage bestImage = frame;
if (bestFrame < capturedImages.Count && bestFrame >= 0)
{
bestImage = capturedImages[bestFrame];
}
_newRecord = new FaceRecord(template, bestImage, details);
_newRecord.AddToTemplate(nTemplate);
template.Dispose();
capturedImages.Remove(bestImage);
_capturedTemplateList = new List <byte[]>();
_capturedTemplateList.Add(nTemplate.Save().ToByteArray());
score = Identify(_capturedTemplateList, _enrolledTemplateList);
LogLine(string.Format("Face match details: score {0}.", score), true);
backgroundWorker.CancelAsync();
}
else
{
_newRecord = null;
}
extractionStarted = false;
createFaceRecord = false;
}
if (!createFaceRecord)
{
ClearCapturedImages();
}
SetImageToView(nlView2, frame.ToBitmap(), new NleDetectionDetails[] { details }, status, (int)(frameNumber * 100.0 / frameCount), timeStamp);
if (status != NleExtractionStatus.None && status != NleExtractionStatus.TemplateCreated)
{
backgroundWorker.CancelAsync();
score = 0;
}
}
else
{
NleDetectionDetails[] details = null;
try
{
NleFace[] faces = _extractor.DetectFaces(grayscaleImage);
if (faces != null)
{
details = new NleDetectionDetails[faces.Length];
for (int i = 0; i < faces.Length; i++)
{
details[i] = _extractor.DetectFacialFeatures(grayscaleImage, faces[i]);
}
}
}
finally
{
SetImageToView(nlView2, frame.ToBitmap(), details, NleExtractionStatus.None, -1, timeStamp);
}
}
} //using
} // try
finally
{
if (frame != null)
{
frame.Dispose();
}
}
}// while
}
catch (Exception ex)
{
foreach (NImage img in capturedImages)
{
img.Dispose();
}
capturedImages.Clear();
ShowError(ex.Message);
}
finally
{
try
{
int baseFrameIndex;
NleExtractionStatus status;
if (extractionStarted)
{
_extractor.ExtractEnd(out baseFrameIndex, out status);
}
if (_fromCamera && _camera != null)
{
_camera.StopCapturing();
}
if (!_fromCamera && _videoReader != null)
{
_videoReader.Stop();
}
}
catch { }
}
}
private void StopVideoCapture()
{
try
{
backgroundWorker.CancelAsync();
timer.Stop();
if (facesView.Face.Image != null & facedetectdetails.Length > 0)
{
HorizontalPst = (((facedetectdetails[0].Eyes.First.X) + (facedetectdetails[0].Eyes.Second.X)) / 2);
VerticalPst = (facedetectdetails[0].Eyes.First.Y + facedetectdetails[0].Eyes.Second.Y) / 2;
BottomPst = facedetectdetails[0].Face.Rectangle.Bottom;
var image = activeCamera.GetFrame();
var ntfi = new Ntfi();
var token = ntfi.CreateTokenFaceImage(image, facedetectdetails[0].Eyes.First, facedetectdetails[0].Eyes.Second);
_croppedImage = token.ToBitmap();
faceInImage = true; buttonUseImage.Enabled = true;
activeCamera.StopCapturing();
/* commented by Ayo
* if (VerticalPst < 320)
* {
* if (HorizontalPst > 230)
* {
* if (BottomPst < 335)
* {
* NImage image = activeCamera.GetCurrentFrame();
* Ntfi ntfi = new Ntfi();
* NImage token = ntfi.CreateTokenFaceImage(image, facedetectdetails[0].Eyes.First, facedetectdetails[0].Eyes.Second);
* croppedImage = token.ToBitmap();
* faceInImage = true; buttonUseImage.Enabled = true;
* activeCamera.StopCapturing();
* }
* else { MessageBox.Show("Image Not Position Properly!", "Bottom Post"); }
*
* }
* else
* {
* MessageBox.Show("Image Not position Properly!", "Horzontal Post");
* }
* }
* else
* {
* MessageBox.Show("Image too close to camera!", "Vertical Post");
* }
*/
//end ayo comments
}
else
{
faceInImage = false;
MessageBox.Show(this, @"No eyes and face detected", @"Face Biometrics", MessageBoxButtons.OK, MessageBoxIcon.Information);
}
}
catch (Exception exp)
{
_errorLog.Append(exp.ToString() + Environment.NewLine);
}
finally
{
btCaptureDevicePhoto.Enabled = true;
buttonStopCapture.Enabled = false;
}
}
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();
}