public ProcessVideo(Affdex.Detector detector, double FPS)
{
InitializeComponent();
this.panel1.setDetector(detector);
this.panel1.setFPS(FPS);
}
public void setDetector(Affdex.Detector detector)
{
this.detector = detector;
detector.setImageListener(this);
detector.setProcessStatusListener(this);
}
public AffectivaSurface(Affdex.Detector detector)
{
detector.setImageListener(this);
detector.setProcessStatusListener(this);
//InitializeComponent();
rwLock = new ReaderWriterLock();
this.DoubleBuffered = true;
//this.FormBorderStyle = FormBorderStyle.FixedSingle;
SetStyle(ControlStyles.AllPaintingInWmPaint | ControlStyles.UserPaint | ControlStyles.OptimizedDoubleBuffer | ControlStyles.ResizeRedraw, 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);
}
}
public ProcessVideo(Affdex.Detector detector)
{
System.Console.WriteLine("Starting Interface...");
this.detector = detector;
detector.setImageListener(this);
detector.setProcessStatusListener(this);
InitializeComponent();
rwLock = new ReaderWriterLock();
this.DoubleBuffered = true;
this.FormBorderStyle = FormBorderStyle.FixedSingle;
SetStyle(ControlStyles.AllPaintingInWmPaint | ControlStyles.UserPaint | ControlStyles.OptimizedDoubleBuffer | ControlStyles.ResizeRedraw, true);
}
public MainForm(Affdex.Detector detector)
{
InitializeComponent();
affSurface = new AffectivaSurface(detector);
this.panel1.Controls.Add(affSurface);
this.EmotionsTextBox.SelectAll();
this.EmotionsTextBox.SelectionAlignment = HorizontalAlignment.Right;
this.EmotionsTextBox.Select(0, 0);
affSurface.ResultsChanged += new System.EventHandler(this.affSurf_ResultsChanged);
this.textResults_sorted_values = new float[5];
// Start Timers
TextTimer.Start();
secondsTimer.Start();
}
public ProcessVideo(Affdex.Detector detector)
{
System.Console.WriteLine("Starting Interface...");
this.detector = detector;
detector.setImageListener(this);
detector.setProcessStatusListener(this);
InitializeComponent();
rwLock = new ReaderWriterLock();
this.DoubleBuffered = true;
this.FormBorderStyle = FormBorderStyle.FixedSingle;
SetStyle(ControlStyles.AllPaintingInWmPaint | ControlStyles.UserPaint | ControlStyles.OptimizedDoubleBuffer | ControlStyles.ResizeRedraw, true);
//Line added by Hifza
//Affdex log contains full log from last session of emotion game
//Affdex results are sent to emotion game code to process data in chunks
//System.IO.File.WriteAllText(@"C:\Users\artmed\Desktop\sangwonlee\Affdex_Outputs\Affdex_Log.txt", String.Empty);
//System.IO.File.WriteAllText(@"C:\Users\artmed\Documents\sangwonlee\Affdex_Outputs\Affdex_Results.txt", String.Empty);
}
private void startWebCamProsessing()
{
try
{
const int cameraId = 1;
const int numberOfFaces = 1;
const int cameraFPS = 15;
const int processFPS = 15;
Detector = new Affdex.CameraDetector(cameraId, cameraFPS, processFPS, numberOfFaces, Affdex.FaceDetectorMode.LARGE_FACES);
Detector.setClassifierPath("C:\\Program Files\\Affectiva\\AffdexSDK\\data");
Detector.setDetectAllEmotions(true);
Detector.setDetectGender(true);
Detector.setImageListener(this);
Detector.start();
}
catch (Affdex.AffdexException ex) {
MessageBox.Show("Ocurrió un error al inicializar el analizador: " + 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();
}
}
private void Window_Closing(object sender, System.ComponentModel.CancelEventArgs e)
{
if (_colorReader != null)
{
_colorReader.Dispose();
}
if (_bodyReader != null)
{
_bodyReader.Dispose();
}
if (_sensor != null)
{
this._sensor.Close();
this._sensor = null;
}
if (this.convertStream != null)
{
this.convertStream.SpeechActive = false;
}
if (this.speechEngine != null)
{
this.speechEngine.SpeechRecognized -= this.SpeechEngine_SpeechRecognized;
this.speechEngine.SpeechRecognitionRejected -= this.SpeechEngine_SpeechRecognitionRejected;
this.speechEngine.RecognizeAsyncStop();
}
if ((Detector != null) && (Detector.isRunning()))
{
Detector.stop();
Detector.Dispose();
Detector = null;
}
}
public Form1(Affdex.Detector detector)
{
detector.setImageListener(this);
InitializeComponent();
}
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);
}
}
