private void DisplayTrainingLibraryImagesBottomClass(Object sender, EventArgs e)
{
PicesClass bottomClass = GetSelectedBottomClass();
if ((bottomClass == null) || (trainingModel == null))
{
return;
}
String dir = trainingModel.DirectoryPathForClass(bottomClass);
if (String.IsNullOrEmpty(dir))
{
return;
}
DisplayPicesImages dpi = new DisplayPicesImages(dir);
String[] svNames = trainingModel.SupportVectorNames(selectedTopClass, bottomClass);
if (svNames != null)
{
dpi.SummportVectorNames(svNames);
}
dpi.ShowDialog();
dpi.Dispose();
dpi = null;
} /* DisplayTrainingLibraryImagesBottomClass */
} /* GetSelectedBottomClass */
private void DisplayTrainingImages(PicesClass mlClass)
{
if (trainingModel == null)
{
return;
}
String dir = trainingModel.DirectoryPathForClass(mlClass);
if (String.IsNullOrEmpty(dir))
{
return;
}
DisplayPicesImages dpi = new DisplayPicesImages(dir);
dpi.ShowDialog();
dpi.Dispose();
dpi = null;
} /* DisplayTrainingImages */
} /* DisplayWorstTrainingImages */
private void DisplayWorstTrainingImages2(PicesClass bottomClass)
{
if (trainingModel == null)
{
return;
}
String dir1 = trainingModel.DirectoryPathForClass(selectedTopClass);
String dir2 = trainingModel.DirectoryPathForClass(bottomClass);
if (String.IsNullOrEmpty(dir1) && String.IsNullOrEmpty(dir2))
{
return;
}
ProbNamePair[] worstTrainingImages = trainingModel.FindWorstSupportVectors2(featureVector, 500, selectedTopClass, bottomClass);
DisplayPicesImages dpi = new DisplayPicesImages(dir1, dir2, worstTrainingImages);
dpi.ShowDialog();
dpi.Dispose();
dpi = null;
}
private void MLClassChoices_NodeMouseDoubleClick(object sender, TreeNodeMouseClickEventArgs e)
{
if (e.Button == MouseButtons.Left)
{
selectionMade = true;
selectedClass = PicesClassList.GetUniqueClass(e.Node.Text, "");
Close();
return;
}
else if (e.Button == MouseButtons.Right)
{
if (String.IsNullOrEmpty(rootDir))
{
return;
}
String fullDirPath = rootDir + e.Node.Text;
DisplayPicesImages dpi = new DisplayPicesImages(fullDirPath);
dpi.ShowDialog();
dpi.Dispose();
dpi = null;
}
}