public byte[] ExtractTemplate(DataSetMain.ImageDataTable table)
{
if (extractor == null)
{
return(new byte[0]);
}
NLTemplate template = null;
try
{
// Start extraction of face template from a stream (sequence of images)
extractor.ExtractStart(table.Rows.Count);
NleExtractionStatus extractionStatus = NleExtractionStatus.None;
// process stream of images
foreach (DataSetMain.ImageRow row in table)
{
// read image
NImage image = NImage.FromStream(new MemoryStream(row.Image));
//????????????????????? Changing to NPixelFormat.Grayscale
using (NGrayscaleImage grayscaleImage = (NGrayscaleImage)NImage.FromImage(NPixelFormat.Grayscale, 0, image))
{
if (image != null)
{
image.Dispose();
}
// use image as another frame of stream
NleDetectionDetails details;
int baseFrameIndex;
extractionStatus = extractor.ExtractNext(grayscaleImage, out details, out baseFrameIndex, out template);
}
}
if (extractionStatus == NleExtractionStatus.TemplateCreated)
{
// return compressed template
return(template.Save().ToByteArray());
}
}
catch (Exception e)
{
string msg = e.InnerException != null ? e.InnerException.Message : e.Message;
throw new VerilookToolException(errormsg + msg);
}
finally
{
if (template != null)
{
template.Dispose();
}
}
return(new byte[0]);
}
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 { }
}
}
