static void processCamera(String trainingDataFolder, bool record)
{
try
{
Affdex.Detector detector = null;
System.Console.WriteLine("Trying to process a camera feed...");
double FPS = 30.0D;
uint faceNo = 1;
Affdex.FaceDetectorMode faceLarge = Affdex.FaceDetectorMode.LARGE_FACES;
detector = new Affdex.CameraDetector(0, FPS, FPS, faceNo, faceLarge);
if (detector != null)
{
System.Globalization.CultureInfo customCulture = (System.Globalization.CultureInfo)System.Threading.Thread.CurrentThread.CurrentCulture.Clone();
customCulture.NumberFormat.NumberDecimalSeparator = ".";
System.Threading.Thread.CurrentThread.CurrentCulture = customCulture;
string pV = Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments);
if (Environment.OSVersion.Version.Major >= 6)
{
pV = Directory.GetParent(pV).ToString();
}
string Fname = Path.Combine(@pV, "video_" + DateTime.Now.ToString("yyyyMMdd_HHmmss") + ".avi");
ProcessVideo videoForm = new ProcessVideo(detector, FPS);
if (record)
{
videoForm.setOutputVideoFile(Fname);
}
detector.setClassifierPath(trainingDataFolder);
detector.setDetectAllEmotions(true);
detector.setDetectAllExpressions(true);
detector.setDetectAllEmojis(true);
detector.setDetectAllAppearances(true);
detector.start();
System.Console.WriteLine("Face detector mode = " + detector.getFaceDetectorMode().ToString());
videoForm.ShowDialog();
videoForm.Dispose();
/*
* detector.stop();
* detector.Dispose();
*/
}
}
catch (Exception ex)
{
Console.WriteLine("ERROR: " + ex.Message);
}
}
static void Main(string[] args)
{
Affdex.Detector detector = new Affdex.CameraDetector(0, 30, 30, 3, Affdex.FaceDetectorMode.LARGE_FACES);
Form1 feed = new Form1(detector);
detector.setClassifierPath("E:\\Ufpel\\TCC\\APIs\\AffdexSDK\\data");
detector.setDetectAllEmotions(true);
detector.setDetectAllEmojis(true);
detector.start();
feed.ShowDialog();
detector.stop();
}
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);
}
}
/// <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>
/// Starts the camera processing.
/// </summary>
private void StartCameraProcessing()
{
try
{
btnStartCamera.IsEnabled = false;
btnResetCamera.IsEnabled =
Points.IsEnabled =
Metrics.IsEnabled =
Appearance.IsEnabled =
Emojis.IsEnabled =
btnStopCamera.IsEnabled =
btnAppShot.IsEnabled =
btnExit.IsEnabled = true;
// Instantiate CameraDetector using default camera ID
const int cameraId = 0;
const int numberOfFaces = 10;
const int cameraFPS = 15;
const int processFPS = 15;
Detector = new Affdex.CameraDetector(cameraId, cameraFPS, processFPS, numberOfFaces, Affdex.FaceDetectorMode.LARGE_FACES);
//Set location of the classifier data files, needed by the SDK
Detector.setClassifierPath(FilePath.GetClassifierDataFolder());
// Set the Classifiers that we are interested in tracking
TurnOnClassifiers();
Detector.setImageListener(this);
Detector.setProcessStatusListener(this);
Detector.start();
// Hide the logo, show the camera feed and the data canvas
logoBackground.Visibility = Visibility.Hidden;
cornerLogo.Visibility = Visibility.Visible;
canvas.Visibility = Visibility.Visible;
cameraDisplay.Visibility = Visibility.Visible;
}
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);
}
}
static void Main(string[] args)
{
CmdOptions options = new CmdOptions();
if (CommandLine.Parser.Default.ParseArguments(args, options))
{
Affdex.Detector detector = null;
List <string> imgExts = new List <string> {
".bmp", ".jpg", ".gif", ".png", ".jpe"
};
List <string> vidExts = new List <string> {
".avi", ".mov", ".flv", ".webm", ".wmv", ".mp4"
};
bool isCamera = (options.Input.ToLower() == "camera");
bool isImage = imgExts.Any <string>(s => (options.Input.Contains(s) || options.Input.Contains(s.ToUpper())));
bool isVideo = (!isImage && !isCamera);
if (isCamera)
{
System.Console.WriteLine("Trying to process a camera feed...");
detector = new Affdex.CameraDetector(0, 30, 30, (uint)options.numFaces, (Affdex.FaceDetectorMode)options.faceMode);
}
else if (isImage)
{
System.Console.WriteLine("Trying to process a bitmap image..." + options.Input.ToString());
detector = new Affdex.PhotoDetector((uint)options.numFaces, (Affdex.FaceDetectorMode)options.faceMode);
}
else if (isVideo)
{
System.Console.WriteLine("Trying to process a video file..." + options.Input.ToString());
detector = new Affdex.VideoDetector(15, (uint)options.numFaces, (Affdex.FaceDetectorMode)options.faceMode);
}
else
{
System.Console.WriteLine("File-Type not supported.");
}
if (detector != null)
{
ProcessVideo videoForm = new ProcessVideo(detector);
detector.setClassifierPath(options.DataFolder);
detector.setDetectAllEmotions(true);
detector.setDetectAllExpressions(true);
detector.setDetectAllEmojis(true);
detector.setDetectAllAppearances(true);
detector.start();
System.Console.WriteLine("Face detector mode = " + detector.getFaceDetectorMode().ToString());
if (isVideo)
{
((Affdex.VideoDetector)detector).process(options.Input);
}
else if (isImage)
{
((Affdex.PhotoDetector)detector).process(LoadFrameFromFile(options.Input));
}
else
{
;
}
videoForm.ShowDialog();
detector.stop();
//Hifza
//close socket after data transfer is complete
myNetworks.myNetwork.CloseClient();
}
}
}
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 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);
}
}
/// <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);
}
}
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);
}
}
/// <summary>
/// Starts the camera processing.
/// </summary>
private void StartCameraProcessing()
{
try
{
btnStartCamera.IsEnabled = false;
btnResetCamera.IsEnabled =
Points.IsEnabled =
Metrics.IsEnabled =
Appearance.IsEnabled =
Emojis.IsEnabled =
btnStopCamera.IsEnabled =
btnAppShot.IsEnabled =
btnExit.IsEnabled = true;
// Instantiate CameraDetector using default camera ID
const int cameraId = 0;
const int numberOfFaces = 10;
const int cameraFPS = 15;
const int processFPS = 15;
Detector = new Affdex.CameraDetector(cameraId, cameraFPS, processFPS, numberOfFaces, Affdex.FaceDetectorMode.LARGE_FACES);
//Set location of the classifier data files, needed by the SDK
Detector.setClassifierPath(FilePath.GetClassifierDataFolder());
// Set the Classifiers that we are interested in tracking
TurnOnClassifiers();
Detector.setImageListener(this);
Detector.setProcessStatusListener(this);
Detector.start();
// Hide the logo, show the camera feed and the data canvas
logoBackground.Visibility = Visibility.Hidden;
cornerLogo.Visibility = Visibility.Visible;
canvas.Visibility = Visibility.Visible;
cameraDisplay.Visibility = Visibility.Visible;
}
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);
}
}
