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);
}
}
/*private Affdex.Frame LoadFrameFromFile(string fileName)
* {
* Bitmap bitmap = new Bitmap(fileName);
*
* // Lock the bitmap's bits.
* Rectangle rect = new Rectangle(0, 0, bitmap.Width, bitmap.Height);
* BitmapData bmpData = bitmap.LockBits(rect, ImageLockMode.ReadWrite, bitmap.PixelFormat);
*
* // Get the address of the first line.
* IntPtr ptr = bmpData.Scan0;
*
* // Declare an array to hold the bytes of the bitmap.
* int numBytes = bitmap.Width * bitmap.Height * 3;
* byte[] rgbValues = new byte[numBytes];
*
* int data_x = 0;
* int ptr_x = 0;
* int row_bytes = bitmap.Width * 3;
*
* // The bitmap requires bitmap data to be byte aligned.
* // http://stackoverflow.com/questions/20743134/converting-opencv-image-to-gdi-bitmap-doesnt-work-depends-on-image-size
*
* for (int y = 0; y < bitmap.Height; y++)
* {
* Marshal.Copy(ptr + ptr_x, rgbValues, data_x, row_bytes);//(pixels, data_x, ptr + ptr_x, row_bytes);
* data_x += row_bytes;
* ptr_x += bmpData.Stride;
* }
*
* bitmap.UnlockBits(bmpData);
*
* return new Affdex.Frame(bitmap.Width, bitmap.Height, rgbValues, Affdex.Frame.COLOR_FORMAT.BGR);
* }*/
private void restart_mode()
{
if (initialized)
{
//if (videoSurface != null)
// videoSurface.Close();
Affdex.FaceDetectorMode FaceDeteMode = largeFacesCheckBox.Checked ? Affdex.FaceDetectorMode.LARGE_FACES : Affdex.FaceDetectorMode.SMALL_FACES;
if (modeChecListkbox.SelectedIndex == 0)
{
detector = new Affdex.CameraDetector((int)camIDNumericUpDown.Value, (double)camFPSNumericUpDown.Value, (double)camFPSNumericUpDown.Value, (uint)numFacesNumericUpDown.Value, FaceDeteMode);
}
else if (modeChecListkbox.SelectedIndex == 1)
{
detector = new Affdex.PhotoDetector((uint)numFacesNumericUpDown.Value, FaceDeteMode);
}
else if (modeChecListkbox.SelectedIndex == 2)
{
detector = new Affdex.VideoDetector(30, (uint)numFacesNumericUpDown.Value, FaceDeteMode);
}
//detector.setClassifierPath("C:\\Program Files\\Affectiva\\AffdexSDK\\data");
detector.setClassifierPath(Directory.GetCurrentDirectory() + "\\affectiva_SDK_data");
detector.setDetectAllEmotions(true);
detector.setDetectAllExpressions(false);
detector.setDetectAllEmojis(false);
detector.setDetectAllAppearances(false);
detector.start();
//System.Console.WriteLine("Face detector mode = " + detector.getFaceDetectorMode().ToString());
//if (modeCheckbox.SelectedIndex == 2) ((Affdex.VideoDetector)detector).process(options.Input);
//else if (modeCheckbox.SelectedIndex == 1) ((Affdex.PhotoDetector)detector).process(LoadFrameFromFile(options.Input));
MainForm affForm = new MainForm(detector);
affForm.Show();
//detector.stop();
}
}