private void train_Click(object sender, EventArgs e)
{
//string line;
//DirectoryInfo dir = new DirectoryInfo("E:/libbs");
//dir.Create();
//StreamReader file = new StreamReader("SystemLibPath.txt");
//while ((line = file.ReadLine()) != null)
//{
// Console.WriteLine(line);
// FileInfo f = new FileInfo(line);
// File.Copy(line, dir.FullName + "/" + f.Name);
//}
EDRIPMain.getInstance().loadPredictor();
FolderBrowserDialog fbd = new FolderBrowserDialog();
DialogResult result = fbd.ShowDialog();
string[] files = { };
if (result == System.Windows.Forms.DialogResult.OK)
{
files = Directory.GetFiles(fbd.SelectedPath, "*", SearchOption.AllDirectories);
}
if (Methodology.SelectedIndex == 1)
{
EDRIPMainDistanceAndWrinkledBased.getInstance().TrainSystemForEmotionDistanceAndWrinkledBased(files);
}
else if (Methodology.SelectedIndex == 0)
{
EDRIPMainDistanceBased.getInstance().TrainSystemForEmotionDistancedBased(files);
}
else if (Methodology.SelectedIndex == 2)
{
EDRIPMainReducedDimensionsBased.getInstance().TrainSystemForEmotionReducedDimentionsBased(files);
}
else if (Methodology.SelectedIndex == 3)
{
OpticalflowViewTrain(files);
}
else if (Methodology.SelectedIndex == 4)
{
EDRIPHybridMethodologyBasedMain.getInstance().TrainSystemForEmotionHybrid(files);
}
}
private void Upload_Click(object sender, EventArgs e)
{
Stream fileStream = null;
UploadImage.Multiselect = true;
if ((UploadImage.ShowDialog() == DialogResult.OK) && (fileStream = UploadImage.OpenFile()) != null)
{
string fileName = UploadImage.FileName;
FileInfo file = new FileInfo(UploadImage.FileName);
Mat ImageMat = new Mat(file.FullName);
string emotions = "";
EmotionBusinessModel mod = new EmotionBusinessModel();
if (Methodology.SelectedIndex == 1)
{
mod = EDRIPMainDistanceAndWrinkledBased.getInstance().DetectEmotionsDistanceAndWrinkledBased(new Mat[] { ImageMat }, FDIPMAin.DetectFace(ImageMat));
}
else if (Methodology.SelectedIndex == 2)
{
mod = EDRIPMainReducedDimensionsBased.getInstance().DetectEmotionsReducedDimentionsBased(new Mat[] { ImageMat });
}
// emotions = EDRIPMainReducedDimensionsBased.getInstance().DetectEmotionsReducedDimentionsBased(new Mat[] { ImageMat }).outputResult;
else if (Methodology.SelectedIndex == 3)
{
OpticalflowView(UploadImage);
OpticalFlow.Visible = true;
}
else if (Methodology.SelectedIndex == 4)
{
EDRIPHybridMethodologyBasedMain.getInstance().testSystemForEmotionHybrid(UploadImage.FileNames);
}
emotions = mod.outputMessage;
CvInvoke.Resize(ImageMat, ImageMat, new Size(320, 240), 0, 0, Inter.Linear);
Image <Bgr, byte> I2 = mod.images[0].image.ToImage <Bgr, byte>();
GC.Collect();
Logger log = new Logger();
log.LogIntoFile(Log.logType.INFO, "message to be written");
// I2.Draw(emotions, new Point(10, 30), FontFace.HersheyPlain, 2.0, new Bgr(10, 0, 255));
imageBox1.Image = I2;
}
}