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 processVideo(String pVideo, CmdOptions options)
{
try
{
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 isImage = imgExts.Any <string>(s => (pVideo.Contains(s) || pVideo.Contains(s.ToUpper())));
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
{
System.Console.WriteLine("Trying to process a video file..." + options.Input.ToString());
detector = new Affdex.VideoDetector(60F, (uint)options.numFaces, (Affdex.FaceDetectorMode)options.faceMode);
}
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 = Directory.GetParent(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData)).FullName;
if (Environment.OSVersion.Version.Major >= 6)
{
pV = Directory.GetParent(pV).ToString();
}
Boolean research = false;
StreamWriter outputFile = null;
string Fname = Path.Combine(@pV, "blinkValues_" + DateTime.Now.ToString("yyMMdd_hhmmss") + ".txt");
string fileHeader = "";
fileHeader += "Blink\tEye-Aspect-Rate\t";
fileHeader += "frame";
System.Console.WriteLine(fileHeader);
outputFile = new StreamWriter(Fname);
outputFile.WriteLine(fileHeader);
ProcessVideo videoForm = new ProcessVideo(detector, 15);
videoForm.setOutputVideoFileLog(outputFile);
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 (isImage)
{
Affdex.Frame img = LoadFrameFromFile(options.Input);
((Affdex.PhotoDetector)detector).process(img);
}
else
{
((Affdex.VideoDetector)detector).process(options.Input);
}
videoForm.ShowDialog();
videoForm.Dispose();
//videoForm = null;
outputFile.Close();
detector.stop();
detector.Dispose();
}
}
catch (Exception ex)
{
Console.WriteLine("ERROR: " + ex.Message);
}
}
