private void btnSave_Click(object sender, EventArgs e)
{
int selectedIndex = lvResults.SelectedIndices[0];
if (selectedIndex >= 0 && selectedIndex < rcgnResultList.Count)
{
string sourceFile = rcgnResultList[selectedIndex].FileName;
string destFile = Program.trainingSetDir + @"\" + Path.GetFileName(sourceFile);
// Check if this image is already part of the training set
if (File.Exists(destFile))
{
System.Windows.Forms.MessageBox.Show("This image already exist in the training set.");
return;
}
// Copy the result image file to training set folder
System.IO.File.Copy(sourceFile, destFile, true);
// Add the item to the training set
TrainingItem item = new TrainingItem();
item.FileName = Path.GetFileName(sourceFile);
item.Label = txtLabel.Text;
item.AddToCSV(Program.trainingSetCSVFile);
// Process the update training set and update the display tabs
//ilTrainingSet.Images.Clear();
//lvTrainingSet.Items.Clear();
//ilEigenFaces.Images.Clear();
//lvEigenFaces.Items.Clear();
//Program.Train();
//showTrainingSet();
//showEigenFaces();
}
}
// Converts the images in a directory into the appropriate dimension
// and saves them to the trianing set directory
public static void Convert()
{
// Load the images in the directory with training set images
DirectoryInfo di = new DirectoryInfo(@".\trainingset\tests");
FileInfo[] fi = di.GetFiles("*", SearchOption.TopDirectoryOnly);
// Empty the data csv file
System.IO.File.WriteAllText(trainingSetCSVFile, "FileName, Label\r\n");
foreach (FileInfo file in fi)
{
//// Convert the image into gray and the training width and height
//Image<Gray, Byte> image = new Image<Gray, Byte>(file.FullName);
//image = image.Resize(trainingImgWidth, trainingImgHeight, INTER.CV_INTER_CUBIC);
//// Save file in bmp
//string label = Path.GetFileNameWithoutExtension(file.FullName);
//string fileName = label + imageExt;
//image.Save(@".\trainingset\" + fileName);
List<RecognizerResult> list = Detect(file.FullName);
string fileName = Path.GetFileName(list[0].FileName);
File.Move(list[0].FileName, trainingSetDir + @"/" + fileName);
// Add item to CSV
TrainingItem item = new TrainingItem();
item.FileName = fileName;
item.Label = Path.GetFileNameWithoutExtension(list[0].FileName);
item.AddToCSV(trainingSetCSVFile);
}
}
// Converts the images in a directory into the appropriate dimension
// and saves them to the trianing set directory
public static void Convert()
{
// Load the images in the directory with training set images
DirectoryInfo di = new DirectoryInfo(@".\trainingset\tests");
FileInfo[] fi = di.GetFiles("*", SearchOption.TopDirectoryOnly);
// Empty the data csv file
System.IO.File.WriteAllText(trainingSetCSVFile, "FileName, Label\r\n");
foreach (FileInfo file in fi)
{
//// Convert the image into gray and the training width and height
//Image<Gray, Byte> image = new Image<Gray, Byte>(file.FullName);
//image = image.Resize(trainingImgWidth, trainingImgHeight, INTER.CV_INTER_CUBIC);
//// Save file in bmp
//string label = Path.GetFileNameWithoutExtension(file.FullName);
//string fileName = label + imageExt;
//image.Save(@".\trainingset\" + fileName);
List <RecognizerResult> list = Detect(file.FullName);
string fileName = Path.GetFileName(list[0].FileName);
File.Move(list[0].FileName, trainingSetDir + @"/" + fileName);
// Add item to CSV
TrainingItem item = new TrainingItem();
item.FileName = fileName;
item.Label = Path.GetFileNameWithoutExtension(list[0].FileName);
item.AddToCSV(trainingSetCSVFile);
}
}
private void btnSave_Click(object sender, EventArgs e)
{
int selectedIndex = lvResults.SelectedIndices[0];
if (selectedIndex >= 0 && selectedIndex < rcgnResultList.Count)
{
string sourceFile = rcgnResultList[selectedIndex].FileName;
string destFile = Program.trainingSetDir + @"\" + Path.GetFileName(sourceFile);
// Check if this image is already part of the training set
if (File.Exists(destFile))
{
System.Windows.Forms.MessageBox.Show("This image already exist in the training set.");
return;
}
// Copy the result image file to training set folder
System.IO.File.Copy(sourceFile, destFile, true);
// Add the item to the training set
TrainingItem item = new TrainingItem();
item.FileName = Path.GetFileName(sourceFile);
item.Label = txtLabel.Text;
item.AddToCSV(Program.trainingSetCSVFile);
// Process the update training set and update the display tabs
//ilTrainingSet.Images.Clear();
//lvTrainingSet.Items.Clear();
//ilEigenFaces.Images.Clear();
//lvEigenFaces.Items.Clear();
//Program.Train();
//showTrainingSet();
//showEigenFaces();
}
}