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);
}
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;
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.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);
}
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 (this.ShowRecognitionResults)
{
foreach (Face face in imageWithFace.DetectedFaces)
{
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;
faceUI.ShowIdentificationData(age, gender, (uint)Math.Round(confidence * 100), name);
}
}
}
}
}
this.progressIndicator.IsActive = false;
}