private async Task DetectAndShowEmotion()
{
this.progressIndicator.IsActive = true;
this.DetectFaceAttributes = 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)
{
double renderedImageXTransform = this.imageControl.RenderSize.Width / this.bitmapImage.PixelWidth;
double renderedImageYTransform = this.imageControl.RenderSize.Height / this.bitmapImage.PixelHeight;
if (imageWithFace.DetectedFaces == null)
{
await imageWithFace.DetectFacesAsync(detectFaceAttributes : this.DetectFaceAttributes, detectFaceLandmarks : this.DetectFaceLandmarks);
}
foreach (Face face in imageWithFace.DetectedFaces)
{
FaceIdentificationBorder faceUI = new FaceIdentificationBorder();
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);
Microsoft.ProjectOxford.Common.Rectangle rectangle = new Microsoft.ProjectOxford.Common.Rectangle();
rectangle.Height = face.FaceRectangle.Height;
rectangle.Left = face.FaceRectangle.Left;
rectangle.Top = face.FaceRectangle.Top;
rectangle.Width = face.FaceRectangle.Width;
Emotion emotion = new Emotion();
emotion.FaceRectangle = rectangle;
emotion.Scores = face.FaceAttributes.Emotion;
faceUI.ShowEmotionData(emotion);
this.hostGrid.Children.Add(faceUI);
if (!this.ShowMultipleFaces)
{
break;
}
}
}
this.progressIndicator.IsActive = false;
}
private async Task DetectAndShowEmotion()
{
ShowProgressBar();
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.DetectedEmotion == null)
{
EmotionDetecting?.Invoke(this, new EventArgs());
await imageWithFace.DetectEmotionAsync();
EmotionDetected?.Invoke(this, new EventArgs());
}
double renderedImageXTransform = this.imageControl.RenderSize.Width / this.bitmapImage.PixelWidth;
double renderedImageYTransform = this.imageControl.RenderSize.Height / this.bitmapImage.PixelHeight;
foreach (Emotion emotion in imageWithFace.DetectedEmotion)
{
FaceIdentificationBorder faceUI = new FaceIdentificationBorder();
faceUI.Margin = new Thickness((emotion.FaceRectangle.Left * renderedImageXTransform) + ((this.ActualWidth - this.imageControl.RenderSize.Width) / 2),
(emotion.FaceRectangle.Top * renderedImageYTransform) + ((this.ActualHeight - this.imageControl.RenderSize.Height) / 2), 0, 0);
faceUI.BalloonBackground = this.BalloonBackground;
faceUI.BalloonForeground = this.BalloonForeground;
faceUI.ShowFaceRectangle(emotion.FaceRectangle.Width * renderedImageXTransform, emotion.FaceRectangle.Height * renderedImageYTransform);
faceUI.ShowEmotionData(emotion);
this.emotionEmojiControl.UpdateEmotion(emotion.Scores);
this.hostGrid.Children.Add(faceUI);
if (!this.ShowMultipleFaces)
{
break;
}
}
}
//this.progressIndicator.IsActive = false;
HideProgressBar();
}
private async Task DetectAndShowEmotion()
{
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 : true);
}
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
{
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),
BalloonBackground = this.BalloonBackground,
BalloonForeground = this.BalloonForeground
};
faceUI.ShowFaceRectangle(face.FaceRectangle.Width * renderedImageXTransform, face.FaceRectangle.Height * renderedImageYTransform);
faceUI.ShowEmotionData(face.FaceAttributes.Emotion);
this.hostGrid.Children.Add(faceUI);
if (!this.ShowMultipleFaces)
{
break;
}
}
}
this.progressIndicator.IsActive = false;
}
private async Task DetectAndShowComputerVisionAnalysis()
{
this.progressIndicator.IsActive = true;
this.imageControl.RenderTransform = null;
foreach (var child in this.hostGrid.Children.Where(c => !(c is Image)).ToArray())
{
this.hostGrid.Children.Remove(child);
}
if (this.DataContext is ImageAnalyzer img)
{
List <Task> tasks = new List <Task>();
if (img.AnalysisResult == null)
{
tasks.Add(img.AnalyzeImageAsync(new List <Details> {
Details.Celebrities, Details.Landmarks
}));
}
if (this.PerformOCRAnalysis && (img.TextOperationResult == null || img.TextRecognitionMode != this.TextRecognitionMode))
{
tasks.Add(img.RecognizeTextAsync(this.TextRecognitionMode));
}
if (this.PerformObjectDetection && img.DetectedObjects == null)
{
tasks.Add(img.DetectObjectsAsync());
}
await Task.WhenAll(tasks);
double renderedImageXTransform = this.imageControl.RenderSize.Width / this.bitmapImage.PixelWidth;
double renderedImageYTransform = this.imageControl.RenderSize.Height / this.bitmapImage.PixelHeight;
if (img.AnalysisResult.Faces != null)
{
foreach (FaceDescription face in img.AnalysisResult.Faces)
{
FaceIdentificationBorder faceUI = new FaceIdentificationBorder
{
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),
BalloonBackground = this.BalloonBackground,
BalloonForeground = this.BalloonForeground
};
faceUI.ShowFaceRectangle(face.FaceRectangle.Width * renderedImageXTransform, face.FaceRectangle.Height * renderedImageYTransform);
var faceGender = Util.GetFaceGender(face.Gender);
faceUI.ShowIdentificationData(face.Age, faceGender, 0, null);
this.hostGrid.Children.Add(faceUI);
this.GetCelebrityInfoIfAvailable(img, face.FaceRectangle, out string celebRecoName, out double celebRecoConfidence);
if (!string.IsNullOrEmpty(celebRecoName))
{
Border celebUI = new Border
{
Child = new TextBlock
{
Text = string.Format("{0} ({1}%)", celebRecoName, (uint)Math.Round(celebRecoConfidence * 100)),
Foreground = this.BalloonForeground,
FontSize = 14
},
Background = this.BalloonBackground,
VerticalAlignment = VerticalAlignment.Top,
HorizontalAlignment = HorizontalAlignment.Left
};
celebUI.SizeChanged += (ev, ar) =>
{
celebUI.Margin = new Thickness(faceUI.Margin.Left - (celebUI.ActualWidth - face.FaceRectangle.Width * renderedImageXTransform) / 2,
faceUI.Margin.Top + 2 + face.FaceRectangle.Height * renderedImageYTransform, 0, 0);
};
this.hostGrid.Children.Add(celebUI);
}
}
}
// Clean up any old results
foreach (var child in this.hostGrid.Children.Where(c => (c is OCRBorder)).ToArray())
{
this.hostGrid.Children.Remove(child);
}
// OCR request (Printed / Handwritten)
if (this.PerformOCRAnalysis && img.TextOperationResult?.RecognitionResult?.Lines != null)
{
this.imageControl.RenderTransform = new RotateTransform {
Angle = 0, CenterX = this.imageControl.RenderSize.Width / 2, CenterY = this.imageControl.RenderSize.Height / 2
};
foreach (Line line in img.TextOperationResult.RecognitionResult.Lines)
{
foreach (var word in line.Words)
{
double[] boundingBox = word?.BoundingBox?.ToArray() ?? new double[] { };
if (boundingBox.Length == 8)
{
double minLeft = renderedImageXTransform * (new List <double>()
{
boundingBox[0], boundingBox[2], boundingBox[4], boundingBox[6]
}).Min();
double minTop = renderedImageYTransform * (new List <double>()
{
boundingBox[1], boundingBox[3], boundingBox[5], boundingBox[7]
}).Min();
var points = new PointCollection()
{
new Windows.Foundation.Point(boundingBox[0] * renderedImageXTransform - minLeft, boundingBox[1] * renderedImageYTransform - minTop),
new Windows.Foundation.Point(boundingBox[2] * renderedImageXTransform - minLeft, boundingBox[3] * renderedImageYTransform - minTop),
new Windows.Foundation.Point(boundingBox[4] * renderedImageXTransform - minLeft, boundingBox[5] * renderedImageYTransform - minTop),
new Windows.Foundation.Point(boundingBox[6] * renderedImageXTransform - minLeft, boundingBox[7] * renderedImageYTransform - minTop)
};
// The four points (x-coordinate, y-coordinate) of the detected rectangle from the left-top corner and clockwise
IEnumerable <Windows.Foundation.Point> leftPoints = points.OrderBy(p => p.X).Take(2);
IEnumerable <Windows.Foundation.Point> rightPoints = points.OrderByDescending(p => p.X).Take(2);
Windows.Foundation.Point leftTop = leftPoints.OrderBy(p => p.Y).FirstOrDefault();
Windows.Foundation.Point leftBottom = leftPoints.OrderByDescending(p => p.Y).FirstOrDefault();
Windows.Foundation.Point rightTop = rightPoints.OrderBy(p => p.Y).FirstOrDefault();
Windows.Foundation.Point rightBottom = rightPoints.OrderByDescending(p => p.Y).FirstOrDefault();
var orderedPoints = new PointCollection()
{
leftTop, rightTop, rightBottom, leftBottom
};
// simple math to get angle of the text
double diffWidth = Math.Abs(leftTop.X - rightTop.X);
double diffHeight = Math.Abs(leftTop.Y - rightTop.Y);
double sign = leftTop.Y > rightTop.Y ? -1 : 1;
double angle = sign * Math.Atan2(diffHeight, diffWidth) * (180 / Math.PI); // angle in degrees
OCRBorder ocrUI = new OCRBorder
{
Margin = new Thickness(minLeft + ((this.ActualWidth - this.imageControl.RenderSize.Width) / 2),
minTop + ((this.ActualHeight - this.imageControl.RenderSize.Height) / 2), 0, 0)
};
ocrUI.SetPoints(orderedPoints, word.Text, angle);
this.hostGrid.Children.Add(ocrUI);
}
}
}
}
if (this.PerformObjectDetection && img.DetectedObjects != null)
{
this.ShowObjectDetectionRegions(img.DetectedObjects);
}
}
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);
}
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 <bool> DetectAndShowEmotion()
{
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.DetectedEmotion == null)
{
await imageWithFace.DetectEmotionAsync();
}
double renderedImageXTransform = this.imageControl.RenderSize.Width / this.bitmapImage.PixelWidth;
double renderedImageYTransform = this.imageControl.RenderSize.Height / this.bitmapImage.PixelHeight;
if (App.RequiredEmotion != Areas.ExpectedEmotion.NaN)
{
if (imageWithFace.DetectedEmotion.Count() != 2)
{
this.progressIndicator.IsActive = false;
if (this.OnFailure != null)
{
this.OnFailure(this, false);
}
}
int winnerId = 0;
switch (App.RequiredEmotion)
{
case Areas.ExpectedEmotion.Happy:
winnerId = imageWithFace.DetectedEmotion.Where(e => e.Scores.Happiness == imageWithFace.DetectedEmotion.Max(i => i.Scores.Happiness)).FirstOrDefault().FaceRectangle.Left;
break;
case Areas.ExpectedEmotion.Sad:
winnerId = imageWithFace.DetectedEmotion.Where(e => e.Scores.Sadness == imageWithFace.DetectedEmotion.Max(i => i.Scores.Sadness)).FirstOrDefault().FaceRectangle.Left;
break;
case Areas.ExpectedEmotion.Angry:
winnerId = imageWithFace.DetectedEmotion.Where(e => e.Scores.Anger == imageWithFace.DetectedEmotion.Max(i => i.Scores.Anger)).FirstOrDefault().FaceRectangle.Left;
break;
case Areas.ExpectedEmotion.Surprised:
winnerId = imageWithFace.DetectedEmotion.Where(e => e.Scores.Surprise == imageWithFace.DetectedEmotion.Max(i => i.Scores.Surprise)).FirstOrDefault().FaceRectangle.Left;
break;
case Areas.ExpectedEmotion.Neutral:
winnerId = imageWithFace.DetectedEmotion.Where(e => e.Scores.Neutral == imageWithFace.DetectedEmotion.Max(i => i.Scores.Neutral)).FirstOrDefault().FaceRectangle.Left;
break;
}
if (winnerId == 0)
{
this.progressIndicator.IsActive = false;
if (this.OnFailure != null)
{
this.OnFailure(this, false);
}
}
//Game
foreach (Emotion emotion in imageWithFace.DetectedEmotion)
{
//Result:
float r = 1;
switch (App.RequiredEmotion)
{
case Areas.ExpectedEmotion.Happy:
r = emotion.Scores.Happiness;
break;
case Areas.ExpectedEmotion.Sad:
r = emotion.Scores.Sadness;
break;
case Areas.ExpectedEmotion.Angry:
r = emotion.Scores.Anger;
break;
case Areas.ExpectedEmotion.Surprised:
r = emotion.Scores.Surprise;
break;
case Areas.ExpectedEmotion.Neutral:
r = emotion.Scores.Neutral;
break;
}
EmotionFaceIdentificationBorder faceUI = new EmotionFaceIdentificationBorder(emotion.FaceRectangle.Left == winnerId, r);
//faceUI.Winner = emotion.FaceRectangle.Left == winnerId;
// faceUI.RequestedEmotion = App.RequiredEmotion.ToString();
faceUI.Margin = new Thickness((emotion.FaceRectangle.Left * renderedImageXTransform) + ((this.ActualWidth - this.imageControl.RenderSize.Width) / 2),
(emotion.FaceRectangle.Top * renderedImageYTransform) + ((this.ActualHeight - this.imageControl.RenderSize.Height) / 2), 0, 0);
//faceUI.BalloonBackground = this.BalloonBackground;
//faceUI.BalloonForeground = this.BalloonForeground;
faceUI.ShowFaceRectangle(emotion.FaceRectangle.Width * renderedImageXTransform, emotion.FaceRectangle.Height * renderedImageYTransform);
//faceUI.ShowEmotionData(emotion);
this.hostGrid.Children.Add(faceUI);
}
this.progressIndicator.IsActive = false;
if (this.OnSuccess != null)
{
this.OnSuccess(this, true);
}
//return true;
}
else
{
foreach (Emotion emotion in imageWithFace.DetectedEmotion)
{
//logic goes here.
FaceIdentificationBorder faceUI = new FaceIdentificationBorder();
faceUI.Margin = new Thickness((emotion.FaceRectangle.Left * renderedImageXTransform) + ((this.ActualWidth - this.imageControl.RenderSize.Width) / 2),
(emotion.FaceRectangle.Top * renderedImageYTransform) + ((this.ActualHeight - this.imageControl.RenderSize.Height) / 2), 0, 0);
faceUI.BalloonBackground = this.BalloonBackground;
faceUI.BalloonForeground = this.BalloonForeground;
faceUI.ShowFaceRectangle(emotion.FaceRectangle.Width * renderedImageXTransform, emotion.FaceRectangle.Height * renderedImageYTransform);
faceUI.ShowEmotionData(emotion);
this.hostGrid.Children.Add(faceUI);
if (!this.ShowMultipleFaces)
{
break;
}
}
// return true;
}
}
this.progressIndicator.IsActive = false;
return(false);
}
private async Task DetectAndShowComputerVisionAnalysis()
{
this.progressIndicator.IsActive = true;
this.imageControl.RenderTransform = null;
foreach (var child in this.hostGrid.Children.Where(c => !(c is Image)).ToArray())
{
this.hostGrid.Children.Remove(child);
}
ImageAnalyzer img = this.DataContext as ImageAnalyzer;
if (img != null)
{
if (this.PerformOCRAnalysis && img.OcrResults == null)
{
await Task.WhenAll(img.AnalyzeImageAsync(detectCelebrities: true), img.RecognizeTextAsync());
}
else if (img.AnalysisResult == null)
{
await img.AnalyzeImageAsync(detectCelebrities : true);
}
double renderedImageXTransform = this.imageControl.RenderSize.Width / this.bitmapImage.PixelWidth;
double renderedImageYTransform = this.imageControl.RenderSize.Height / this.bitmapImage.PixelHeight;
if (img.AnalysisResult.Faces != null)
{
foreach (Microsoft.ProjectOxford.Vision.Contract.Face face in img.AnalysisResult.Faces)
{
FaceIdentificationBorder faceUI = new FaceIdentificationBorder();
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);
faceUI.ShowIdentificationData(face.Age, face.Gender, 0, null);
this.hostGrid.Children.Add(faceUI);
double celebRecoConfidence = 0;
string celebRecoName;
this.GetCelebrityInfoIfAvailable(img, face.FaceRectangle, out celebRecoName, out celebRecoConfidence);
if (!string.IsNullOrEmpty(celebRecoName))
{
Border celebUI = new Border
{
Child = new TextBlock
{
Text = string.Format("{0} ({1}%)", celebRecoName, (uint)Math.Round(celebRecoConfidence * 100)),
Foreground = this.BalloonForeground,
FontSize = 14
},
Background = this.BalloonBackground,
VerticalAlignment = VerticalAlignment.Top,
HorizontalAlignment = HorizontalAlignment.Left
};
celebUI.SizeChanged += (ev, ar) =>
{
celebUI.Margin = new Thickness(faceUI.Margin.Left - (celebUI.ActualWidth - face.FaceRectangle.Width * renderedImageXTransform) / 2,
faceUI.Margin.Top + 2 + face.FaceRectangle.Height * renderedImageYTransform, 0, 0);
};
this.hostGrid.Children.Add(celebUI);
}
}
}
if (this.PerformOCRAnalysis && img.OcrResults.Regions != null)
{
if (img.OcrResults.TextAngle.HasValue)
{
this.imageControl.RenderTransform = new RotateTransform {
Angle = -img.OcrResults.TextAngle.Value, CenterX = this.imageControl.RenderSize.Width / 2, CenterY = this.imageControl.RenderSize.Height / 2
};
}
foreach (Microsoft.ProjectOxford.Vision.Contract.Region ocrRegion in img.OcrResults.Regions)
{
foreach (var line in ocrRegion.Lines)
{
foreach (var word in line.Words)
{
OCRBorder ocrUI = new OCRBorder();
ocrUI.Margin = new Thickness((word.Rectangle.Left * renderedImageXTransform) + ((this.ActualWidth - this.imageControl.RenderSize.Width) / 2),
(word.Rectangle.Top * renderedImageYTransform) + ((this.ActualHeight - this.imageControl.RenderSize.Height) / 2), 0, 0);
ocrUI.SetData(word.Rectangle.Width * renderedImageXTransform, word.Rectangle.Height * renderedImageYTransform, word.Text);
this.hostGrid.Children.Add(ocrUI);
}
}
}
}
}
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;
}
