affdex-sdk-cpp-samples/AffdexMe/MainWindow.xaml.cs

878 lines
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C#
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using System;
using System.Collections.Generic;
using System.Drawing;
using System.Globalization;
using System.IO;
using System.Linq;
using System.Text;
using System.Windows;
using System.Windows.Controls;
using System.Windows.Media;
using System.Windows.Media.Imaging;
using System.Windows.Shapes;
using System.Collections.Specialized;
using Microsoft.Win32;
using System.Reflection;
namespace AffdexMe
{
/// <summary>
/// Interaction logic for MainWindow.xaml
/// </summary>
public partial class MainWindow : Window, Affdex.ImageListener, Affdex.ProcessStatusListener
{
#region Member Variables and Enums
/// <summary>
/// The minimum length of the Classifier Value textbox
/// </summary>
const int ClassiferValueDisplayLength = 90;
/// <summary>
/// So the Classifiers can be cached
/// </summary>
int[] mAffdexClassifierValues = new int[6];
/// <summary>
/// Once a face has been recognized, the number of captures that occur before the classifiers get zero displayed
/// This helps prevent classifier numbers from flashing on the screen.
/// </summary>
int mCachedSkipFaceResultsCount;
/// <summary>
/// Once a face's feature points get displayed, the number of successive captures that occur without
/// the points getting redrawn in the OnResults callback.
/// </summary>
int mFeaturePointsSkipCount;
/// <summary>
/// Used to delay the display of the Classifier panel until the 1st face is recognized
/// </summary>
bool mFirstFaceRecognized;
private Affdex.CameraDetector mCameraDetector;
private StringCollection mEnabledClassifiers;
private DateTime mStartTime;
private float mCurrentTimeStamp;
/// <summary>
/// Scale factor based on ratio between current and original size
/// </summary>
private double mImageXScaleFactor;
private double mImageYScaleFactor;
private bool mShowFacePoints;
private bool mShowMeasurements;
#endregion
#region Image and Results Arg Classes
/// <summary>
///
/// </summary>
class ImageCaptureDataUpdateArgs
{
public float ImageCaptureTimeStamp {get; set;}
public Affdex.Frame Image { get; set; }
}
/// <summary>
///
/// </summary>
class ImageResultsDataUpdateArgs
{
public float ImageResultsTimeStamp { get; set; }
public Affdex.Frame Image { get; set; }
public Affdex.Face Face { get; set; }
}
#endregion
#region Listener Implementation
public void onImageResults(Dictionary<int, Affdex.Face> faces, Affdex.Frame image)
{
// For now only single face is supported
if ((faces.Count() >= 1))
{
Affdex.Face face = faces[0];
UpdateClassifierPanel(face);
DisplayFeaturePoints(image, face);
DisplayMeasurements(face);
}
}
public void onImageCapture(Affdex.Frame image)
{
UpdateClassifierPanel();
DisplayImageToOffscreenCanvas(image);
}
public void onProcessingException(Affdex.AffdexException ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
public void onProcessingFinished()
{
}
#endregion
private void ShowExceptionAndShutDown(String exceptionMessage)
{
MessageBoxResult result = MessageBox.Show(exceptionMessage,
"AffdexMe Error",
MessageBoxButton.OK,
MessageBoxImage.Error);
this.Dispatcher.BeginInvoke((Action)(() =>
{
StopCameraProcessing();
}));
}
private String GetClassifierDataFolder()
{
// First see if we can get the Install Path from the registry
RegistryKey rkCurrentUser = RegistryKey.OpenBaseKey(RegistryHive.LocalMachine, RegistryView.Registry32);
RegistryKey rkAffdexMe = rkCurrentUser.OpenSubKey("Software\\Affectiva\\AffdexMe");
String classifierPath = String.Empty;
if (rkAffdexMe != null && !String.IsNullOrEmpty((String)rkAffdexMe.GetValue("Install Directory")))
{
classifierPath = (String)rkAffdexMe.GetValue("Install Directory") + "\\data";
}
else
{
String affdexClassifierDir = Environment.GetEnvironmentVariable("AFFDEX_DATA_DIR");
if (String.IsNullOrEmpty(affdexClassifierDir))
{
ShowExceptionAndShutDown("AFFDEX_DATA_DIR environment variable (Classifier Data Directory) is not set");
}
else
{
classifierPath = affdexClassifierDir;
}
}
DirectoryInfo directoryInfo = new DirectoryInfo(classifierPath);
if (!directoryInfo.Exists)
{
ShowExceptionAndShutDown("AFFDEX_DATA_DIR (Classifier Data Directory) is set to an invalid folder location");
}
return classifierPath;
}
private String GetAffdexLicense()
{
// First see if we can get the License from the registry
RegistryKey rkCurrentUser = Registry.LocalMachine;
RegistryKey rkAffdexMe = rkCurrentUser.OpenSubKey("Software\\Affectiva\\AffdexMe");
String licensePath = String.Empty;
if ( rkAffdexMe != null && !String.IsNullOrEmpty((string)rkAffdexMe.GetValue("Install Directory")))
{
licensePath = (String)rkAffdexMe.GetValue("Install Directory");
}
else
{
licensePath = Environment.GetEnvironmentVariable("AFFDEX_LICENSE_DIR");
if (String.IsNullOrEmpty(licensePath))
{
ShowExceptionAndShutDown("AFFDEX_LICENSE_DIR environment variable (Affdex License Folder) is not set");
}
}
// Test the directory
DirectoryInfo directoryInfo = new DirectoryInfo(licensePath);
if (!directoryInfo.Exists)
{
ShowExceptionAndShutDown("AFFDEX_License_DIR (Affex License Folder) is set to an invalid folder location");
}
return licensePath + "\\affdex.license";
}
public MainWindow()
{
InitializeComponent();
CenterWindowOnScreen();
}
private void Window_Loaded(object sender, RoutedEventArgs e)
{
InitializeCameraApp();
mEnabledClassifiers = AffdexMe.Settings.Default.Classifiers;
// Enable/Disable buttons on start
btnStartCamera.IsEnabled =
btnResetCamera.IsEnabled =
btnShowPoints.IsEnabled =
btnStopCamera.IsEnabled =
btnExit.IsEnabled = true;
if (AffdexMe.Settings.Default.ShowPoints)
{
btnShowPoints_Click(null, null);
}
if (AffdexMe.Settings.Default.ShowMeasurements)
{
btnShowMeasurements_Click(null, null);
}
this.ContentRendered += MainWindow_ContentRendered;
}
/// <summary>
/// Once the window las been loaded and the content rendered, the camera
/// can be initialized and started. This sequence allows for the underlying controls
/// and watermark logo to be displayed.
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
void MainWindow_ContentRendered(object sender, EventArgs e)
{
StartCameraProcessing();
}
/// <summary>
///
/// </summary>
private void CenterWindowOnScreen()
{
double screenWidth = System.Windows.SystemParameters.PrimaryScreenWidth;
double screenHeight = System.Windows.SystemParameters.PrimaryScreenHeight;
double windowWidth = this.Width;
double windowHeight = this.Height;
this.Left = (screenWidth / 2) - (windowWidth / 2);
this.Top = (screenHeight / 2) - (windowHeight / 2);
}
private BitmapSource ConstructImage(byte[] imageData, int width, int height)
{
try
{
if (imageData != null && imageData.Length > 0)
{
var stride = (width * PixelFormats.Bgr24.BitsPerPixel + 7) / 8;
var imageSrc = BitmapSource.Create(width, height, 96d, 96d, PixelFormats.Bgr24, null, imageData, stride);
return imageSrc;
}
}
catch(Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
return null;
}
private void DisplayMeasurements(Affdex.Face affdexFace)
{
//Update measurements
try
{
var result = this.Dispatcher.BeginInvoke((Action)(() =>
{
if (mShowMeasurements && (affdexFace != null))
{
interocularDistanceDisplay.Text = String.Format("Interocular Distance: {0}", affdexFace.Measurements.InterocularDistance);
pitchDisplay.Text = String.Format("Pitch Angle: {0}", affdexFace.Measurements.Orientation.Pitch);
yawDisplay.Text = String.Format("Yaw Angle: {0}", affdexFace.Measurements.Orientation.Yaw);
rollDisplay.Text = String.Format("Roll Angle: {0}", affdexFace.Measurements.Orientation.Roll);
}
}));
}
catch(Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
private void DisplayFeaturePoints(Affdex.Frame affdexImage, Affdex.Face affdexFace)
{
try
{
// Plot Face Points
if ((mShowFacePoints) && (affdexFace != null))
{
var result = this.Dispatcher.BeginInvoke((Action)(() =>
{
if ((mCameraDetector != null) && (mCameraDetector.isRunning()))
{
// Clear the previous points
canvasFacePoints.Children.Clear();
canvasFacePoints.Width = imgAffdexFaceDisplay.ActualWidth;
canvasFacePoints.Height = imgAffdexFaceDisplay.ActualHeight;
mImageXScaleFactor = imgAffdexFaceDisplay.ActualWidth / affdexImage.getWidth();
mImageYScaleFactor = imgAffdexFaceDisplay.ActualHeight / affdexImage.getHeight();
SolidColorBrush pointBrush = new SolidColorBrush(Colors.Cornsilk);
var featurePoints = affdexFace.FeaturePoints;
foreach (var point in featurePoints)
{
Ellipse ellipse = new Ellipse()
{
Width = 4,
Height = 4,
Fill = pointBrush
};
canvasFacePoints.Children.Add(ellipse);
Canvas.SetLeft(ellipse, point.X * mImageXScaleFactor);
Canvas.SetTop(ellipse, point.Y * mImageYScaleFactor);
}
// Draw Face Bounding Rectangle
var xMax = featurePoints.Max(r => r.X);
var xMin = featurePoints.Min(r => r.X);
var yMax = featurePoints.Max(r => r.Y);
var yMin = featurePoints.Min(r => r.Y);
// Adjust the x/y min to accomodate all points
xMin -= 2;
yMin -= 2;
// Increase the width/height to accomodate the entire max pixel position
// EllipseWidth + N to make sure max points in the box
double width = (xMax - xMin + 6) * mImageXScaleFactor;
double height = (yMax - yMin + 6) * mImageYScaleFactor;
SolidColorBrush boundingBrush = new SolidColorBrush(Colors.Bisque);
Rectangle boundingBox = new Rectangle()
{
Width = width,
Height = height,
Stroke = boundingBrush,
StrokeThickness = 1,
};
canvasFacePoints.Children.Add(boundingBox);
Canvas.SetLeft(boundingBox, xMin * mImageXScaleFactor);
Canvas.SetTop(boundingBox, yMin * mImageYScaleFactor);
mFeaturePointsSkipCount = 0;
}
}));
}
}
catch(Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
/// <summary>
/// Since the panel is getting updated from a separate callback thread, access to controls must be
/// made through BeginInvoke()
/// </summary>
/// <param name="face"></param>
private void UpdateClassifierPanel(Affdex.Face face = null)
{
try
{
bool displayClassifiers = (imgAffdexFaceDisplay.Visibility == Visibility.Hidden)? false : true;
if (mCameraDetector.isRunning() == true)
{
// A Face was found - this comes from ImageResults CallBack
if (face != null)
{
int index = 0;
foreach (String metric in mEnabledClassifiers)
{
PropertyInfo info;
float value = -1;
if ((info = face.Expressions.GetType().GetProperty(NameMappings(metric))) != null) value = (float)info.GetValue(face.Expressions, null);
else if ((info = face.Emotions.GetType().GetProperty(NameMappings(metric))) != null) value = (float)info.GetValue(face.Emotions, null);
// Convert classifier value to Integer (percentage) for display purposes
mAffdexClassifierValues[index] = Convert.ToInt32(Math.Round(value, MidpointRounding.AwayFromZero));
index++;
}
// Reset the cache count
mCachedSkipFaceResultsCount = 0;
mFirstFaceRecognized =
displayClassifiers = true;
}
else if (mFirstFaceRecognized == false)
{
displayClassifiers = false;
}
else if (++mCachedSkipFaceResultsCount > 10)
{
for (int r = 0; r < mAffdexClassifierValues.Count(); r++) mAffdexClassifierValues[r] = 0;
// If we haven't seen a face in the past 30 frames (roughly 30/15fps seconds), don't display the classifiers
if (mCachedSkipFaceResultsCount >= 30)
{
displayClassifiers = false;
}
}
var result = this.Dispatcher.BeginInvoke((Action)(() =>
{
// Only display the classifiers and FacePoints if we've had a re
if (displayClassifiers)
{
int r = 0;
foreach (String classifier in mEnabledClassifiers)
{
String stackPanelName = String.Format("stackPanel{0}", r);
TextBlock ClassifierName = (TextBlock) gridClassifierDisplay.FindName(String.Format("{0}Name", stackPanelName));
TextBlock ClassifierValueBackgroud = (TextBlock)gridClassifierDisplay.FindName(String.Format("{0}ValueBackgroud", stackPanelName));
TextBlock ClassifierValue = (TextBlock)gridClassifierDisplay.FindName(String.Format("{0}Value", stackPanelName));
// Update the Classifier Display
UpdateClassifier(ClassifierName, ClassifierValue, ClassifierValueBackgroud, classifier, r);
r++;
}
}
// Update the Image control from the UI thread
if ((mCameraDetector != null) && (mCameraDetector.isRunning()))
{
if (imgAffdexFaceDisplay.Visibility == Visibility.Hidden)
{
imgAffdexFaceDisplay.Visibility =
stackPanelClassifiersBackground.Visibility =
stackPanelLogoBackground.Visibility = Visibility.Visible;
}
stackPanelClassifiers.Visibility = (displayClassifiers)?Visibility.Visible : Visibility.Hidden;
interocularDistanceDisplay.Visibility = (displayClassifiers && mShowMeasurements) ? Visibility.Visible : Visibility.Hidden;
pitchDisplay.Visibility = (displayClassifiers && mShowMeasurements) ? Visibility.Visible : Visibility.Hidden;
yawDisplay.Visibility = (displayClassifiers && mShowMeasurements) ? Visibility.Visible : Visibility.Hidden;
rollDisplay.Visibility = (displayClassifiers && mShowMeasurements) ? Visibility.Visible : Visibility.Hidden;
}
}));
}
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
private String NameMappings(String classifierName)
{
if (classifierName == "Frown")
{
return "LipCornerDepressor";
}
return classifierName;
}
private void UpdateClassifier(TextBlock txtClassifier, TextBlock txtClassifierValue,
TextBlock txtClassifierValueBackground, String classifierName, int classifierIndex)
{
try
{
UpperCaseConverter conv = new UpperCaseConverter();
txtClassifier.Text = (String)conv.Convert(classifierName, null, null, null);
int classifierValue = mAffdexClassifierValues[(int)classifierIndex];
// Calculate the width
double width = ClassiferValueDisplayLength * Math.Abs(classifierValue) / 100;
var backgroundColor = Colors.Transparent;
if (classifierValue > 0)
{
backgroundColor = Colors.LimeGreen;
}
else if (classifierValue < 0)
{
backgroundColor = Colors.Red;
}
txtClassifierValueBackground.Background = new SolidColorBrush(backgroundColor);
txtClassifierValueBackground.Width = width;
txtClassifierValue.Text = String.Format("{0}%", classifierValue);
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
private void DisplayImageToOffscreenCanvas(Affdex.Frame image)
{
// Update the Image control from the UI thread
var result = this.Dispatcher.BeginInvoke((Action)(() =>
{
try
{
mCurrentTimeStamp = image.getTimestamp();
// Update the Image control from the UI thread
//imgAffdexFaceDisplay.Source = rtb;
imgAffdexFaceDisplay.Source = ConstructImage(image.getBGRByteArray(), image.getWidth(), image.getHeight());
// Allow N successive OnCapture callbacks before the FacePoint drawing canvas gets cleared.
if (++mFeaturePointsSkipCount > 4)
{
canvasFacePoints.Children.Clear();
mFeaturePointsSkipCount = 0;
}
if (image != null)
{
image.Dispose();
}
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}));
}
/// <summary>
///
/// </summary>
private void InitializeCameraApp()
{
try
{
mCameraDetector = null;
// Initialize Button Click Handlers
btnStartCamera.Click += btnStartCamera_Click;
btnStopCamera.Click += btnStopCamera_Click;
btnShowPoints.Click += btnShowPoints_Click;
btnShowMeasurements.Click += btnShowMeasurements_Click;
btnResetCamera.Click += btnResetCamera_Click;
btnExit.Click += btnExit_Click;
// Disable Stop/Reset buttons
btnResetCamera.IsEnabled =
btnStopCamera.IsEnabled = false;
mFeaturePointsSkipCount =
mCachedSkipFaceResultsCount = 0;
// Initially hide Classifier Panels
stackPanelLogoBackground.Visibility =
stackPanelClassifiersBackground.Visibility =
stackPanelClassifiers.Visibility = Visibility.Hidden;
// Face Points are off by default
mShowFacePoints = false;
mShowMeasurements = false;
// Show the logo
imgAffdexLogoDisplay.Visibility = Visibility.Visible;
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
/// <summary>
///
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
void btnShowPoints_Click(object sender, RoutedEventArgs e)
{
try
{
Style style;
String buttonText = String.Empty;
mShowFacePoints = !mShowFacePoints;
if (mShowFacePoints)
{
style = this.FindResource("PointsOnButtonStyle") as Style;
buttonText = "Hide Points";
}
else
{
style = this.FindResource("CustomButtonStyle") as Style;
buttonText = "Show Points";
}
btnShowPoints.Style = style;
btnShowPoints.Content = buttonText;
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
void btnShowMeasurements_Click(object sender, RoutedEventArgs e)
{
try
{
Style style;
String buttonText = String.Empty;
mShowMeasurements = !mShowMeasurements;
if (mShowMeasurements)
{
style = this.FindResource("PointsOnButtonStyle") as Style;
buttonText = "Hide Measurements";
interocularDistanceDisplay.Visibility = Visibility.Visible;
pitchDisplay.Visibility = Visibility.Visible;
yawDisplay.Visibility = Visibility.Visible;
rollDisplay.Visibility = Visibility.Visible;
}
else
{
style = this.FindResource("CustomButtonStyle") as Style;
buttonText = "Show Measurements";
interocularDistanceDisplay.Visibility = Visibility.Hidden;
pitchDisplay.Visibility = Visibility.Hidden;
yawDisplay.Visibility = Visibility.Hidden;
rollDisplay.Visibility = Visibility.Hidden;
}
btnShowMeasurements.Style = style;
btnShowMeasurements.Content = buttonText;
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
private void btnResetCamera_Click(object sender, RoutedEventArgs e)
{
ResetCameraProcessing();
}
void btnStartCamera_Click(object sender, RoutedEventArgs e)
{
try
{
StartCameraProcessing();
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
void btnStopCamera_Click(object sender, RoutedEventArgs e)
{
StopCameraProcessing();
ResetDisplayArea();
}
void btnExit_Click(object sender, RoutedEventArgs e)
{
SaveSettings();
Application.Current.Shutdown();
}
void SaveSettings()
{
AffdexMe.Settings.Default.ShowPoints = mShowFacePoints;
AffdexMe.Settings.Default.ShowMeasurements = mShowMeasurements;
AffdexMe.Settings.Default.Classifiers = mEnabledClassifiers;
AffdexMe.Settings.Default.Save();
}
private void ClearClassifiersAndPointsDisplay()
{
// Hide AffdexFace Image
imgAffdexFaceDisplay.Visibility =
stackPanelLogoBackground.Visibility =
stackPanelClassifiersBackground.Visibility = Visibility.Hidden;
//Clean measurements
interocularDistanceDisplay.Text = String.Format("Interocular Distance: {0}", 0);
pitchDisplay.Text = String.Format("Pitch Angle: {0}", 0);
yawDisplay.Text = String.Format("Yaw Angle: {0}", 0);
rollDisplay.Text = String.Format("Roll Angle: {0}", 0);
// Hide the Classifier Panel
stackPanelClassifiers.Visibility = Visibility.Hidden;
// Clear any Face Points
canvasFacePoints.Children.Clear();
}
private void ResetDisplayArea()
{
try
{
ClearClassifiersAndPointsDisplay();
// Show the logo
imgAffdexLogoDisplay.Visibility = Visibility.Visible;
}
catch (Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
private void TurnOnClassifiers()
{
mCameraDetector.setDetectAllEmotions(false);
mCameraDetector.setDetectAllExpressions(false);
foreach (String metric in mEnabledClassifiers)
{
MethodInfo setMethodInfo = mCameraDetector.GetType().GetMethod(String.Format("setDetect{0}", NameMappings(metric)));
setMethodInfo.Invoke(mCameraDetector, new object[] { true });
}
}
private void StartCameraProcessing()
{
try
{
btnStartCamera.IsEnabled = false;
btnResetCamera.IsEnabled =
btnShowPoints.IsEnabled =
btnStopCamera.IsEnabled =
btnExit.IsEnabled = true;
// Instantiate CameraDetector using default camera ID
mCameraDetector = new Affdex.CameraDetector();
mCameraDetector.setClassifierPath(GetClassifierDataFolder());
// Set the Classifiers that we are interested in tracking
TurnOnClassifiers();
// Initialize Classifier cache
for (int index = 0; index < mAffdexClassifierValues.Count(); index++)
{
mAffdexClassifierValues[index] = 0;
}
mCachedSkipFaceResultsCount = 0;
mCameraDetector.setImageListener(this);
mCameraDetector.setProcessStatusListener(this);
// Set the License Path
mCameraDetector.setLicensePath(GetAffdexLicense());
mStartTime = DateTime.Now;
mCameraDetector.start();
// Delay loading the Classifier panel until 1st face
mFirstFaceRecognized = false;
// Hide the logo
imgAffdexLogoDisplay.Visibility = Visibility.Hidden;
}
catch(Affdex.AffdexException ex)
{
if (!String.IsNullOrEmpty(ex.Message))
{
// If this is a camera failure, then reset the application to allow the user to turn on/enable camera
if (ex.Message.Equals("Unable to open webcam."))
{
MessageBoxResult result = MessageBox.Show(ex.Message,
"AffdexMe Error",
MessageBoxButton.OK,
MessageBoxImage.Error);
StopCameraProcessing();
return;
}
}
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
catch(Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
private void ResetCameraProcessing()
{
try
{
mCameraDetector.reset();
}
catch(Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
private void StopCameraProcessing()
{
try
{
if ((mCameraDetector != null) && (mCameraDetector.isRunning()))
{
mCameraDetector.stop();
mCameraDetector.Dispose();
mCameraDetector = null;
}
// Enable/Disable buttons on start
btnStartCamera.IsEnabled = true;
btnResetCamera.IsEnabled =
btnStopCamera.IsEnabled = false;
}
catch(Exception ex)
{
String message = String.IsNullOrEmpty(ex.Message) ? "AffdexMe error encountered." : ex.Message;
ShowExceptionAndShutDown(message);
}
}
private void Window_Closing(object sender, System.ComponentModel.CancelEventArgs e)
{
StopCameraProcessing();
SaveSettings();
Application.Current.Shutdown();
}
private void btnChooseWin_Click(object sender, RoutedEventArgs e)
{
Boolean wasRunning = false;
if ((mCameraDetector != null) && (mCameraDetector.isRunning()))
{
StopCameraProcessing();
ResetDisplayArea();
wasRunning = true;
}
MetricSelectionUI w = new MetricSelectionUI(mEnabledClassifiers);
w.ShowDialog();
mEnabledClassifiers = w.Classifiers;
if (wasRunning)
{
StartCameraProcessing();
}
}
}
}