private async Task<Face[]> imageProcessor()
{
string imageFileUriPath = System.IO.Path.Combine(Directory.GetCurrentDirectory(), Guid.NewGuid().ToString() + ".jpg");
FileStream fileStream = TakeSnapshotUsingTemporaryFile(imageFileUriPath);
Face[] faces;
try
{
ImageAnalyzer analyzer = new ImageAnalyzer();
faces = await analyzer.AnalyzeImageUsingHelper(fileStream);
}
catch (Exception e)
{
Ids.Children.Clear();
return null;
}
double videoWidth = CameraVideoDeviceControl.ActualWidth * WebcamDevice.thisDpiWidthFactor;
double videoHeight = CameraVideoDeviceControl.ActualHeight * WebcamDevice.thisDpiHeightFactor;
double imageWidth = OutputImage.ActualWidth;
double imageHeight = OutputImage.ActualHeight;
double widthRatio = videoWidth / imageWidth;
double heightRatio = videoHeight / imageHeight;
this.Dispatcher.Invoke((Action)(() =>
{
UpdateUIWithFaces(faces, widthRatio, heightRatio);
}));
fileStream.Close();
File.Delete(imageFileUriPath);
return faces;
}
/// <summary>
/// Train the model to detect particular faces.
/// </summary>
private async void TrainFaceDetector(object sender, RoutedEventArgs e)
{
StatusText.Text = "Training...";
ImageAnalyzer analyzer = new ImageAnalyzer();
await analyzer.TrainFaceDetector();
}