/// <summary>
/// Выполнить обучение.
/// </summary>
private static void DoLearnWork()
{
Console.BackgroundColor = ConsoleColor.Green;
Console.ForegroundColor = ConsoleColor.Black;
Console.WriteLine(ConsoleMessageConstants.LEARN_RESULT_MESSAGE);
Console.BackgroundColor = ConsoleColor.Black;
Console.ForegroundColor = ConsoleColor.Green;
var pathToFiles = GetPathToFiles();
var pathToResources = PathHelper.GetResourcesPath();
if (string.IsNullOrEmpty(pathToFiles))
{
pathToFiles = pathToResources;
}
var images = Directory.GetFiles(pathToFiles).ToList();
var converter = new ImageConverterUtil(images);
var listOfPicturesMatrix = converter.ConvertImagesToMatrix();
var iterationsCount = listOfPicturesMatrix.Count;
var configuration = new Configuration
{
Alpha = 3.1,
Epsilon = 3.1,
EpochCount = 3,
IdealResult = 1,
IterationsInEpochCount = iterationsCount
};
var layers = new List <Layer>();
var filterCore = FilterCoreModel.Initialize();
LayersInitialize(listOfPicturesMatrix, layers, filterCore,
out Dictionary <string, double> inputLayerWeights,
out List <NeuronModel> convolutionalLayerNeurons,
out List <NeuronModel> hiddenLayerNeurons,
out NeuronModel outputNeuron);
var learningUtil = new LearningUtil(layers, configuration, listOfPicturesMatrix);
learningUtil.StartToLearn();
}
/// <summary>
/// Распознать изображение.
/// </summary>
/// <param name="data">Данные весов.</param>
private static void RecognizeImage(Dictionary <BL.Enums.WeightsType, Dictionary <int, List <double> > > data)
{
Console.WriteLine(ConsoleMessageConstants.PATH_MESSAGE);
var pathToImages = Console.ReadLine();
if (string.IsNullOrEmpty(pathToImages))
{
pathToImages = PathHelper.GetResourcesPath();
}
if (!Directory.Exists(pathToImages))
{
ErrorHelper.DirectoryError();
}
var filesInDirectory = Directory.GetFiles(pathToImages).ToList();
var imagesInDirectory = filesInDirectory.FindAll(file =>
file.Contains(FileConstants.IMAGE_EXTENSION));
ErrorHelper.CheckFiles(imagesInDirectory);
var imageName = string.Empty;
var breakFlag = false;
do
{
Console.BackgroundColor = ConsoleColor.Blue;
Console.ForegroundColor = ConsoleColor.Black;
Console.WriteLine(ConsoleMessageConstants.IMAGES_IN_DIRECTORY_MESSAGE);
imagesInDirectory.ForEach(imagePath =>
Console.WriteLine(Path.GetFileNameWithoutExtension(imagePath) + " "));
Console.Write(ConsoleMessageConstants.FILE_NAME_MESSAGE);
imageName = Console.ReadLine();
if (imagesInDirectory.Contains(Path.Combine(pathToImages, imageName + FileConstants.IMAGE_EXTENSION)))
{
breakFlag = true;
}
Console.BackgroundColor = ConsoleColor.Black;
Console.ForegroundColor = ConsoleColor.Green;
} while (!breakFlag);
var fullPath = Path.Combine(pathToImages, $"{imageName}{FileConstants.IMAGE_EXTENSION}");
if (!data.TryGetValue(BL.Enums.WeightsType.Hidden, out var hiddenLayerWeights))
{
ErrorHelper.GetDataError();
}
if (!data.TryGetValue(BL.Enums.WeightsType.Output, out var outputLayerWeights))
{
ErrorHelper.GetDataError();
}
var imageConverterUtil = new ImageConverterUtil(new List <string> {
fullPath
});
var imageMatrixList = imageConverterUtil.ConvertImagesToMatrix();
var imageData = imageMatrixList.FirstOrDefault();
if (imageData == null)
{
ErrorHelper.GetDataError();
}
var recognizeUtil = new RecognizeUtil(outputLayerWeights, hiddenLayerWeights, imageData);
recognizeUtil.InitializeNetwork();
}