private void StartTrainingCNN()
{
CNNController ctrl = new CNNController();
ctrl.CreateAndCompileModel("model6final.json", "model6final2");
//ctrl.WriteToFile();
ctrl.PrepareImageSets("data/Train", "data/Test", "data/Valid");
//ctrl.Test(2);
while (true)
{
try
{
ctrl.Train(416, "model6final2", 2, 0.000025);
}
catch (Exception e)
{
ctrl.CreateAndCompileModel("model6final.json", "model6final2");
}
ctrl.ShuffleSets();
}
}
private void EvaluateCNN()
{
CNNController ctrl = new CNNController();
ctrl.CreateAndCompileModel("model6final.json", "model6final2");
ctrl.PrepareImageSets("data/Train", "data/Test", "data/Valid");
ctrl.EvaluateModel();
}
public char GetPrediction(CNNController ctrl)
{
using (Bitmap img = new Bitmap(imagePath))
{
Bitmap bmp = ImageProcessing.CropWhite(img, 75, 75);
bmp.RotateFlip(RotateFlipType.Rotate180FlipNone);
img.Dispose();
return(ctrl.RecogniseImage(bmp));
}
}
private void StartTrainingTasks()
{
Task[] tasks = new Task[2];
tasks[0] = Task.Run(() =>
{
try
{
CNNController ctrl = new CNNController();
ctrl.CreateAndCompileModel5();
ctrl.WriteToFile("model5final.json", "model5final");
ctrl.PrepareImageSets("data/Train", "data/Test", "data/Valid");
//ctrl.Test(1);
ctrl.Train(208, "model5final", 1, 0.05);
}
catch (Exception ex)
{
Console.WriteLine("Process 1: " + ex.Message);
}
});
tasks[1] = Task.Run(() =>
{
try
{
CNNController ctrl = new CNNController();
ctrl.CreateAndCompileModel6();
ctrl.WriteToFile("model6final.json", "model6final");
ctrl.PrepareImageSets("data/Train", "data/Test", "data/Valid");
ctrl.Test(2);
ctrl.Train(416, "model6final", 2, 0.005);
}
catch (Exception ex)
{
Console.WriteLine("Process 2: " + ex.ToString());
}
});
Task.WaitAll(tasks);
}