static void Main(string[] args)
{
string inputfile = "";
Affdex.VideoDetector detector = new Affdex.VideoDetector(30, 1, Affdex.FaceDetectorMode.LARGE_FACES);
Form1 f1 = new Form1();
ProcessVideo feed = new ProcessVideo(detector);
System.Console.WriteLine("ranunaaa");
detector.setClassifierPath("C:\\Program Files\\Affectiva\\AffdexSDK\\data");
detector.setDetectAllEmotions(true);
detector.setDetectAllEmojis(true);
detector.setDetectAllExpressions(true);
detector.setDetectAge(true);
detector.setDetectGender(true);
detector.setDetectGlasses(true);
detector.setDetectLipCornerDepressor(false);
detector.setDetectLipPress(false);
detector.setDetectLipPucker(false);
detector.setDetectLipStretch(false);
detector.setDetectLipSuck(false);
detector.setDetectMouthOpen(false);
detector.setDetectSmile(false);
detector.setDetectSmirk(false);
detector.setDetectUpperLipRaise(false);
System.Console.WriteLine("all functions on");
Application.Run(f1);
using (Form1 form2 = new Form1())
{
inputfile = Form1.getFilename();
Console.WriteLine("hey from program");
Console.WriteLine(inputfile);
}
detector.start();
System.Console.WriteLine("detector started");
//System.Diagnostics.Process.Start("C:\\Users\\Rana\\Desktop\\video\\test.avi");
//var dir = new DirectoryInfo(@"C:\Users\Rana\Desktop\video\enterface database");
//foreach (var file in dir.EnumerateFiles("*.avi", SearchOption.AllDirectories))
{
// dynamic filename = file.FullName;
detector.process(inputfile);
Application.Run(feed);
//feed.ShowDialog();
// System.Console.WriteLine("detector reset");
detector.reset();
}
System.Console.WriteLine("detector stopped");
detector.stop();
}
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();
}
}
}
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);
}
}
