public SimilarPersistedFace GetLastSimilarPersistedFaceForFace(BitmapBounds faceBox)
{
if (this.lastSimilarPersistedFaceSample == null || !this.lastSimilarPersistedFaceSample.Any())
{
return(null);
}
SimilarFaceMatch match =
this.lastSimilarPersistedFaceSample.Where(f => CoreUtil.AreFacesPotentiallyTheSame(faceBox, f.Face.FaceRectangle))
.OrderBy(f => Math.Abs(faceBox.X - f.Face.FaceRectangle.Left) + Math.Abs(faceBox.Y - f.Face.FaceRectangle.Top)).FirstOrDefault();
return(match?.SimilarPersistedFace);
}
public IdentifiedPerson GetLastIdentifiedPersonForFace(BitmapBounds faceBox)
{
if (this.lastIdentifiedPersonSample == null || !this.lastIdentifiedPersonSample.Any())
{
return(null);
}
Tuple <Face, IdentifiedPerson> match =
this.lastIdentifiedPersonSample.Where(f => CoreUtil.AreFacesPotentiallyTheSame(faceBox, f.Item1.FaceRectangle))
.OrderBy(f => Math.Abs(faceBox.X - f.Item1.FaceRectangle.Left) + Math.Abs(faceBox.Y - f.Item1.FaceRectangle.Top)).FirstOrDefault();
if (match != null)
{
return(match.Item2);
}
return(null);
}
private static string GetDisplayTextForPersonAsync(ImageAnalyzer analyzer, SimilarFaceMatch item)
{
// See if we identified this person against a trained model
IdentifiedPerson identifiedPerson = analyzer.IdentifiedPersons.FirstOrDefault(p => p.FaceId == item.Face.FaceId);
if (identifiedPerson != null)
{
return(identifiedPerson.Person.Name);
}
if (identifiedPerson == null)
{
// Let's see if this is a celebrity
if (analyzer.AnalysisResult?.Categories != null)
{
foreach (var category in analyzer.AnalysisResult.Categories.Where(c => c.Detail != null))
{
foreach (var celebrity in category.Detail.Celebrities)
{
var celebrityFaceRectangle = new Microsoft.Azure.CognitiveServices.Vision.Face.Models.FaceRectangle(
celebrity.FaceRectangle.Width,
celebrity.FaceRectangle.Height,
celebrity.FaceRectangle.Left,
celebrity.FaceRectangle.Top);
if (CoreUtil.AreFacesPotentiallyTheSame(celebrityFaceRectangle, item.Face.FaceRectangle))
{
return(celebrity.Name.ToString());
}
}
}
}
}
return(string.Empty);
}
internal static bool AreFacesPotentiallyTheSame(BitmapBounds face1, FaceRectangle face2)
{
return(CoreUtil.AreFacesPotentiallyTheSame((int)face1.X, (int)face1.Y, (int)face1.Width, (int)face1.Height, face2.Left, face2.Top, face2.Width, face2.Height));
}
private void HandleFaces(Windows.Foundation.Size framePixelSize, IEnumerable <DetectedFace> detectedFaces, SoftwareBitmap currentFrame)
{
//var ignored = Dispatcher.RunAsync(Windows.UI.Core.CoreDispatcherPriority.Normal, () =>
//{
// FaceTrackingVisualizationCanvas.Children.Clear();
//});
//double actualWidth = FaceTrackingVisualizationCanvas.ActualWidth;
//double actualHeight = FaceTrackingVisualizationCanvas.ActualHeight;
if (captureManager.CameraStreamState == CameraStreamState.Streaming &&
detectedFaces != null /*&& actualWidth != 0 && actualHeight != 0*/)
{
//double widthScale = framePixelSize.Width / actualWidth;
//double heightScale = framePixelSize.Height / actualHeight;
List <BitmapBounds> currentFaces = new List <BitmapBounds>();
List <BitmapBounds> missingFaces = new List <BitmapBounds>();
foreach (DetectedFace detectedFace in detectedFaces)
{
//RealTimeFaceIdentificationBorder faceBorder = new RealTimeFaceIdentificationBorder();
//this.FaceTrackingVisualizationCanvas.Children.Add(faceBorder);
//faceBorder.ShowFaceRectangle((uint)(detectedFace.FaceBox.X / widthScale), (uint)(detectedFace.FaceBox.Y / heightScale), (uint)(detectedFace.FaceBox.Width / widthScale), (uint)(detectedFace.FaceBox.Height / heightScale));
if (currentFrame == null)
{
continue;
}
var potentialMatches = ActiveFaces.Where(existingFace =>
{
return(CoreUtil.AreFacesPotentiallyTheSame(existingFace, detectedFace.FaceBox));
});
// Is this a new face to us?
if (potentialMatches.Count() == 0)
{
var eventArgs = new FaceDetectedEventArgs()
{
Face = detectedFace,
Bitmap = currentFrame
};
if (!ActiveFaces.Any())
{
FaceDetectionStarted?.Invoke(this, new EventArgs());
}
FaceDetected?.Invoke(this, eventArgs);
}
currentFaces.Add(detectedFace.FaceBox);
}
if (currentFaces.Count == 0)
{
FacesNoLongerDetected?.Invoke(this, new EventArgs());
}
ActiveFaces = currentFaces;
}
}
public static Emotion FindFaceClosestToRegion(IEnumerable <Emotion> emotion, FaceRectangle region)
{
return(emotion?.Where(e => CoreUtil.AreFacesPotentiallyTheSame(e.FaceRectangle, region))
.OrderBy(e => Math.Abs(region.Left - e.FaceRectangle.Left) + Math.Abs(region.Top - e.FaceRectangle.Top)).FirstOrDefault());
}