/// <summary>
/// Draws the image captured from the camera.
/// </summary>
/// <param name="image">The image captured.</param>
private void DrawCapturedImage(object sender, FaceWatcherEventArgs e)
{
// Update the Image control from the UI thread
var result = this.Dispatcher.BeginInvoke((Action)(() =>
{
try
{
Affdex.Frame image = e.Frame;
// Update the Image control from the UI thread
//cameraDisplay.Source = rtb;
cameraDisplay.Source = ConstructImage(image.getBGRByteArray(), image.getWidth(), image.getHeight());
// Allow N successive OnCapture callbacks before the FacePoint drawing canvas gets cleared.
if (++DrawSkipCount > 4)
{
canvas.Faces = new Dictionary <int, Affdex.Face>();
canvas.InvalidateVisual();
DrawSkipCount = 0;
}
if (image != null)
{
image.Dispose();
}
}
catch (Exception ex)
{
DataManager.ShowExceptionAndShutDown(ex);
}
}));
}
/// <summary>
/// Draws the facial analysis captured by Affdex.Detector.
/// </summary>
/// <param name="image">The image analyzed.</param>
/// <param name="faces">The faces found in the image analyzed.</param>
private void DrawData(object sender, FaceWatcherEventArgs e)
{
try
{
Affdex.Frame image = e.Frame;
Dictionary <int, Affdex.Face> faces = e.Faces;
// Plot Face Points
if (faces != null)
{
var result = this.Dispatcher.BeginInvoke((Action)(() =>
{
if ((DataManager.FaceWatcher.Detector != null) && (DataManager.FaceWatcher.Detector.isRunning()))
{
canvas.Faces = faces;
canvas.Width = cameraDisplay.ActualWidth;
canvas.Height = cameraDisplay.ActualHeight;
canvas.XScale = canvas.Width / image.getWidth();
canvas.YScale = canvas.Height / image.getHeight();
canvas.InvalidateVisual();
DrawSkipCount = 0;
}
}));
}
}
catch (Exception ex)
{
DataManager.ShowExceptionAndShutDown(ex);
}
}
/// <summary>
/// Continuously Update Emotions on Chart Control
/// </summary>
private void ExtractData(object sender, FaceWatcherEventArgs e)
{
Dictionary <int, Affdex.Face> FaceDictionary = e.Faces;
if (FaceDictionary.Count != 0)
{
foreach (string classifier in DataManager.FaceWatcher.EnabledClassifiers)
{
float value = DataManager.ExtractFeaturePropertyValue(FaceDictionary.ElementAt(0).Value, classifier);
DataManager.TrackData(classifier, value);
}
}
}