private void Button_PhotoImages(object sender, RoutedEventArgs e)
{
ImageRecognition IR = new ImageRecognition(Convert.ToInt32(k_box.Text));
var watch = new System.Diagnostics.Stopwatch();
IR.TrainingImages = PhotoReader.TrainingImages();
if ("Plain" == PhotoTest.SelectionBoxItem.ToString())
{
IR.TestImages = PhotoReader.TestImagesPlain();
}
if ("Light" == PhotoTest.SelectionBoxItem.ToString())
{
IR.TestImages = PhotoReader.TestImagesLight();
}
if ("Light_30deg" == PhotoTest.SelectionBoxItem.ToString())
{
IR.TestImages = PhotoReader.TestImagesLight30();
}
watch.Start();
IR.CalculateTraits();
IR.CalculateDistances(Metrice.SelectionBoxItem.ToString());
IR.Classify();
Result.Text = (IR.Result * 100).ToString();
watch.Stop();
System.IO.File.WriteAllText("Resultstime.txt", $"Execution Time: {(float)watch.ElapsedMilliseconds / 1000} s");
Console.WriteLine($"Execution Time: {(float)watch.ElapsedMilliseconds / 1000} s");
}
private void Button_TextureImages(object sender, RoutedEventArgs e)
{
var watch = new System.Diagnostics.Stopwatch();
Law.CalculateMasks();
ImageRecognition IR = new ImageRecognition(Convert.ToInt32(k_box.Text));
//IR.TrainingImages = TextureReader.TrainingImages(true, true);
//IR.TestImages = TextureReader.TestImages(true, true);
IR.TrainingImages = TextureReader.TrainingImagesFromFile(true, true);
IR.TestImages = TextureReader.TestImagesFromFile(true, true);
watch.Start();
IR.CalculateTraits();
IR.CalculateDistances(Metrice.SelectionBoxItem.ToString());
IR.Classify();
Result.Text = (IR.Result * 100).ToString();
watch.Stop();
System.IO.File.WriteAllText("Resultstime.txt", $"Execution Time: {(float)watch.ElapsedMilliseconds / 1000} s");
Console.WriteLine($"Execution Time: {(float)watch.ElapsedMilliseconds / 1000} s");
}