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;
}
