private void CmbNeuralNetwork_SelectionChanged(object sender, SelectionChangedEventArgs e)
{
cmbPredictedObject.Items.Clear();
var nn = cmbNeuralNetwork.SelectedValue;
if (nn != null)
{
btnCreateFile.IsEnabled = true;
TrainingConfig = TrainingService.GetTrainingConfig(((NeuralNetworkDto)nn).Id);
ImageProcessingConfig = NeuralNetworkService.GetImageProcessingActiveConfig(((NeuralNetworkDto)nn).Id);
cmbPredictedObject.ItemsSource = TrainingConfig.PredictedObjects;
cmbPredictedObject.DisplayMemberPath = "ObjectName";
}
else
{
btnCreateFile.IsEnabled = false;
}
}
public static List <double> ProcessImageClientAppBinarized(Image <Gray, Byte> image, ImageProcessingConfigDto processingConfig)
{
image = ImageHelpers.ResizeBW(image, processingConfig.ResizeSize);
return(ImageHelpers.ImageToList(image));
}
public static Image <Gray, Byte> ProcessImageClientApp(Image <Bgr, Byte> image, ImageProcessingConfigDto processingConfig)
{
Main mainFunctions = new Main();
//image = ImageHelpers.Resize(image, processingConfig.ResizeSize);
switch (processingConfig.ImageFilter)
{
case ImageFilter.box:
image = mainFunctions.BoxFilter(image, processingConfig.ImageFilterSize);
break;
case ImageFilter.median:
default:
image = mainFunctions.MedianFilter(image, processingConfig.ImageFilterSize);
break;
}
Image <Gray, Byte> imageGray = mainFunctions.Binarization(image, processingConfig.ValuesFactor, processingConfig.BlueAvg, processingConfig.BlueStd,
processingConfig.GreenAvg, processingConfig.GreenStd, processingConfig.RedAvg, processingConfig.RedStd);
imageGray = mainFunctions.MorphOp(imageGray);
//imageGray = ImageHelpers.ResizeBW(imageGray, processingConfig.ResizeSize);
return(imageGray);
}