public MainWindow()
{
m_imagePath = "";
InitializeComponent();
m_emotionsQueue = new Queue <CalcScores>();
m_averageEmotion = new CalcScores();
m_player = new WindowsMediaPlayer();
m_player.settings.autoStart = false;
Binding binding_1 = new Binding("SelectedValue");
binding_1.Source = VideoDevicesComboBox;
WebcamCtrl.SetBinding(Webcam.VideoDeviceProperty, binding_1);
m_picturesDefaultPath = Environment.GetFolderPath(Environment.SpecialFolder.MyPictures);
WebcamCtrl.ImageDirectory = m_picturesDefaultPath;
m_picturesDefaultPath += @"\snapshot.jpg";
WebcamCtrl.FrameRate = 30;
WebcamCtrl.FrameSize = new System.Drawing.Size(640, 480);
var vidDevices = EncoderDevices.FindDevices(EncoderDeviceType.Video);
VideoDevicesComboBox.ItemsSource = vidDevices;
VideoDevicesComboBox.SelectedIndex = 0;
startCapturing();
scan();
}
private async void scan()
{
Emotion[] emotionResult = await UploadAndDetectEmotions();
LogEmotionResult(emotionResult);
Scores emotion = selectEmotion(emotionResult);
if (emotion == null)
{
analysisResult.Content = "No emotion detected";
return;
}
getBestValue(emotion, true);
CalcScores cScore = new CalcScores(emotion);
int n = m_emotionsQueue.Count;
if (m_emotionsQueue.Count < m_maxEmotions)
{
m_averageEmotion = n * m_averageEmotion * (1 / (n + 1)) + cScore * (1 / (n + 1));
}
else
{
m_averageEmotion = m_averageEmotion + m_emotionsQueue.Peek() * (-1 / n) + cScore * (1 / n);
m_emotionsQueue.Dequeue();
}
m_emotionsQueue.Enqueue(cScore);
}
