/// <summary>
/// Entry point of program
/// </summary>
/// <param name="args"></param>
/// <returns></returns>
static void Main(string[] args)
{
Console.WriteLine("Face Sentiment Analyzer .NetCore 3.0 Console App: Please face your camera");
Task.Run(async() =>
{
try
{
var sceneClassifierSkilldesc = new FaceSentimentAnalyzerDescriptor();
m_skill = await sceneClassifierSkilldesc.CreateSkillAsync() as FaceSentimentAnalyzerSkill;
var skillDevice = m_skill.Device;
Console.WriteLine("Running Skill on : " + skillDevice.ExecutionDeviceKind.ToString() + ": " + skillDevice.Name);
m_binding = await m_skill.CreateSkillBindingAsync() as FaceSentimentAnalyzerBinding;
await StartMediaCaptureAsync();
}
catch (Exception e)
{
Console.WriteLine("Error:: " + e.Message.ToString() + e.TargetSite.ToString() + e.Source.ToString() + e.StackTrace.ToString());
Environment.Exit(e.HResult);
}
}).Wait();
Console.WriteLine("\nPress Any key to stop\n");
var key = Console.ReadKey();
}
private async void UIButtonFilePick_Click(object sender, RoutedEventArgs e)
{
// Stop Camera preview
UICameraPreview.Stop();
if (UICameraPreview.CameraHelper != null)
{
await UICameraPreview.CameraHelper.CleanUpAsync();
}
UICameraPreview.Visibility = Visibility.Collapsed;
UIImageViewer.Visibility = Visibility.Visible;
// Disable subsequent trigger of this event callback
UICameraToggle.IsEnabled = false;
UIButtonFilePick.IsEnabled = false;
await m_lock.WaitAsync();
try
{
// Initialize skill with the selected supported device
m_skill = await m_skillDescriptor.CreateSkillAsync(m_availableExecutionDevices[UISkillExecutionDevices.SelectedIndex]) as FaceSentimentAnalyzerSkill;
// Instantiate a binding object that will hold the skill's input and output resource
m_binding = await m_skill.CreateSkillBindingAsync() as FaceSentimentAnalyzerBinding;
var frame = await LoadVideoFrameFromFilePickedAsync();
if (frame != null)
{
await m_bitmapSource.SetBitmapAsync(frame.SoftwareBitmap);
UIImageViewer.Source = m_bitmapSource;
UIImageViewer_SizeChanged(null, null);
await RunSkillAsync(frame);
}
m_skill = null;
m_binding = null;
m_currentFrameSourceToggled = FrameSourceToggledType.ImageFile;
}
catch (Exception ex)
{
await(new MessageDialog(ex.Message)).ShowAsync();
m_currentFrameSourceToggled = FrameSourceToggledType.None;
}
m_lock.Release();
// Enable subsequent trigger of this event callback
UIButtonFilePick.IsEnabled = true;
UICameraToggle.IsEnabled = true;
}
private async void UICameraToggle_Click(object sender, RoutedEventArgs e)
{
await m_lock.WaitAsync();
try
{
UICameraPreview.Stop();
if (UICameraPreview.CameraHelper != null)
{
await UICameraPreview.CameraHelper.CleanUpAsync();
}
m_isCameraFrameDimensionInitialized = false;
// Initialize skill with the selected supported device
m_skill = await m_skillDescriptor.CreateSkillAsync(m_availableExecutionDevices[UISkillExecutionDevices.SelectedIndex]) as FaceSentimentAnalyzerSkill;
// Instantiate a binding object that will hold the skill's input and output resource
m_binding = await m_skill.CreateSkillBindingAsync() as FaceSentimentAnalyzerBinding;
// Initialize the CameraPreview control, register frame arrived event callback
UIImageViewer.Visibility = Visibility.Collapsed;
UICameraPreview.Visibility = Visibility.Visible;
await UICameraPreview.StartAsync();
UICameraPreview.CameraHelper.FrameArrived += CameraHelper_FrameArrived;
m_currentFrameSourceToggled = FrameSourceToggledType.Camera;
}
catch (Exception ex)
{
await(new MessageDialog(ex.Message)).ShowAsync();
m_currentFrameSourceToggled = FrameSourceToggledType.None;
}
finally
{
m_lock.Release();
}
}
