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 });
}
}
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);
}
}