private async Task DetectAndShowFaceBorders()
{
this.progressIndicator.IsActive = true;
foreach (var child in this.hostGrid.Children.Where(c => !(c is Image)).ToArray())
{
this.hostGrid.Children.Remove(child);
}
if (this.DataContext is ImageAnalyzer imageWithFace)
{
if (imageWithFace.DetectedFaces == null)
{
await imageWithFace.DetectFacesAsync(detectFaceAttributes : this.DetectFaceAttributes, detectFaceLandmarks : this.DetectFaceLandmarks);
}
double renderedImageXTransform = this.imageControl.RenderSize.Width / this.bitmapImage.PixelWidth;
double renderedImageYTransform = this.imageControl.RenderSize.Height / this.bitmapImage.PixelHeight;
foreach (DetectedFace face in imageWithFace.DetectedFaces)
{
FaceIdentificationBorder faceUI = new FaceIdentificationBorder()
{
Tag = face.FaceId,
};
faceUI.Margin = new Thickness((face.FaceRectangle.Left * renderedImageXTransform) + ((this.ActualWidth - this.imageControl.RenderSize.Width) / 2),
(face.FaceRectangle.Top * renderedImageYTransform) + ((this.ActualHeight - this.imageControl.RenderSize.Height) / 2), 0, 0);
faceUI.BalloonBackground = this.BalloonBackground;
faceUI.BalloonForeground = this.BalloonForeground;
faceUI.ShowFaceRectangle(face.FaceRectangle.Width * renderedImageXTransform, face.FaceRectangle.Height * renderedImageYTransform);
if (this.ShowFaceLandmarks)
{
faceUI.ShowFaceLandmarks(renderedImageXTransform, renderedImageYTransform, face);
}
this.hostGrid.Children.Add(faceUI);
if (!this.ShowMultipleFaces)
{
break;
}
}
if (this.PerformRecognition)
{
if (imageWithFace.IdentifiedPersons == null)
{
await imageWithFace.IdentifyFacesAsync();
}
if (this.ShowRecognitionResults)
{
foreach (DetectedFace face in imageWithFace.DetectedFaces)
{
// Get the border for the associated face id
FaceIdentificationBorder faceUI = (FaceIdentificationBorder)this.hostGrid.Children.FirstOrDefault(e => e is FaceIdentificationBorder && (Guid)(e as FaceIdentificationBorder).Tag == face.FaceId);
if (faceUI != null)
{
IdentifiedPerson faceIdIdentification = imageWithFace.IdentifiedPersons.FirstOrDefault(p => p.FaceId == face.FaceId);
string name = this.DetectFaceAttributes && faceIdIdentification != null ? faceIdIdentification.Person.Name : null;
Microsoft.Azure.CognitiveServices.Vision.Face.Models.Gender?gender = this.DetectFaceAttributes ? face.FaceAttributes.Gender : null;
double age = this.DetectFaceAttributes ? face.FaceAttributes.Age.GetValueOrDefault() : 0;
double confidence = this.DetectFaceAttributes && faceIdIdentification != null ? faceIdIdentification.Confidence : 0;
faceUI.ShowIdentificationData(age, gender, (uint)Math.Round(confidence * 100), name);
}
}
}
}
}
this.progressIndicator.IsActive = false;
}
private async Task DetectAndShowFaceBorders()
{
this.progressIndicator.IsActive = true;
foreach (var child in this.hostGrid.Children.Where(c => !(c is Image)).ToArray())
{
this.hostGrid.Children.Remove(child);
}
ImageAnalyzer imageWithFace = this.DataContext as ImageAnalyzer;
if (imageWithFace != null)
{
if (imageWithFace.DetectedFaces == null)
{
await imageWithFace.DetectFacesAsync(detectFaceAttributes : this.DetectFaceAttributes, detectFaceLandmarks : this.DetectFaceLandmarks);
}
double renderedImageXTransform = this.imageControl.RenderSize.Width / this.bitmapImage.PixelWidth;
double renderedImageYTransform = this.imageControl.RenderSize.Height / this.bitmapImage.PixelHeight;
foreach (Face face in imageWithFace.DetectedFaces)
{
FaceIdentificationBorder faceUI = new FaceIdentificationBorder()
{
Tag = face.FaceId,
};
faceUI.Margin = new Thickness((face.FaceRectangle.Left * renderedImageXTransform) + ((this.ActualWidth - this.imageControl.RenderSize.Width) / 2),
(face.FaceRectangle.Top * renderedImageYTransform) + ((this.ActualHeight - this.imageControl.RenderSize.Height) / 2), 0, 0);
faceUI.BalloonBackground = this.BalloonBackground;
faceUI.BalloonForeground = this.BalloonForeground;
faceUI.ShowFaceRectangle(face.FaceRectangle.Width * renderedImageXTransform, face.FaceRectangle.Height * renderedImageYTransform);
if (this.DetectFaceLandmarks)
{
faceUI.ShowFaceLandmarks(renderedImageXTransform, renderedImageYTransform, face);
}
this.hostGrid.Children.Add(faceUI);
if (!this.ShowMultipleFaces)
{
break;
}
}
if (this.PerformRecognition)
{
if (imageWithFace.IdentifiedPersons == null)
{
await imageWithFace.IdentifyFacesAsync();
}
////if (imageWithFace.DetectedFaces.Count<Face>() <= 0)
////{
//// FaceIdentificationBorder faceUI = (FaceIdentificationBorder)this.hostGrid.Children.FirstOrDefault(e => e is FaceIdentificationBorder && (Guid)(e as FaceIdentificationBorder).Tag == face.FaceId);
//// if (faceUI != null)
//// {
//// faceUI.ShowCaptionMessage("Sorry could not identify attendee");
//// }
////}
if (this.ShowRecognitionResults)
{
foreach (Face face in imageWithFace.DetectedFaces)
{
// Get the border for the associated face id
FaceIdentificationBorder faceUI = (FaceIdentificationBorder)this.hostGrid.Children.FirstOrDefault(e => e is FaceIdentificationBorder && (Guid)(e as FaceIdentificationBorder).Tag == face.FaceId);
if (faceUI != null)
{
IdentifiedPerson faceIdIdentification = imageWithFace.IdentifiedPersons.FirstOrDefault(p => p.FaceId == face.FaceId);
string name = this.DetectFaceAttributes && faceIdIdentification != null ? faceIdIdentification.Person.Name : null;
string gender = this.DetectFaceAttributes ? face.FaceAttributes.Gender : null;
double age = this.DetectFaceAttributes ? face.FaceAttributes.Age : 0;
double confidence = this.DetectFaceAttributes && faceIdIdentification != null ? faceIdIdentification.Confidence : 0;
if (name == null)
{
faceUI.ShowCaptionMessage("Sorry could not identify attendee");
}
else
{
faceUI.ShowIdentificationData(age, gender, (uint)Math.Round(confidence * 100), name);
// TODO Add code to mark attendee as checked in using <name>
Windows.Storage.StorageFolder storageFolder = Windows.Storage.KnownFolders.PicturesLibrary;
Windows.Storage.StorageFile sampleFile = await storageFolder.GetFileAsync("eventlog.txt");
await Windows.Storage.FileIO.AppendTextAsync(sampleFile, "\n" + name + " |Checked In at| " + System.DateTime.Now);
}
}
}
}
}
}
this.progressIndicator.IsActive = false;
}