示例#1
0
        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;
        }
示例#2
0
        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);
                }

                // Detecting emotion
                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 (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);
                    }

                    foreach (Emotion emotion in imageWithFace.DetectedEmotion)
                    {
                        if (face.FaceRectangle.Left.Equals(emotion.FaceRectangle.Left))
                        {
                            faceUI.ShowEmotionData(emotion);
                            break;
                        }
                    }

                    this.hostGrid.Children.Add(faceUI);

                    if (!this.ShowMultipleFaces)
                    {
                        break;
                    }
                }



                if (this.PerformRecognition && !string.IsNullOrEmpty(ImageAnalyzer.PeopleGroupsUserDataFilter))
                {
                    if (imageWithFace.IdentifiedPersons == null)
                    {
                        await imageWithFace.IdentifyFacesAsync();
                    }

                    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;

                                faceUI.ShowIdentificationData(age, gender, (uint)Math.Round(confidence * 100), name);
                            }
                        }
                    }
                }
            }

            this.progressIndicator.IsActive = false;
        }