public void Parse()
{
foreach (string filePath in Directory.GetFiles(path))
{
int digit = int.Parse(Path.GetFileName(filePath)[0].ToString());
Bitmap bitmap = new Bitmap(filePath);
var digitImage = new DigitImage();
digitImage.Digit = digit;
digitImage.Width = bitmap.Width;
digitImage.Height = bitmap.Height;
for (int y = 0; y < bitmap.Height; y++)
{
for (int x = 0; x < bitmap.Width; x++)
{
Color color = bitmap.GetPixel(x, y);
digitImage.Pixels.Add(1 - color.GetBrightness());
}
}
DigitImages.Add(digitImage);
}
DigitImages.Shuffle();
originalCount = DigitImages.Count;
}
public void GenerateDataSets(float validationData, float disturbanceProbability = 0.1f, float disturbanceMaxDifference = 1)
{
int testDataCount = ((int)(DigitImages.Count * validationData)).Clamp(0, DigitImages.Count - 1);
var testImages = DigitImages.GetRange(0, testDataCount);
var trainImages = DigitImages.GetRange(testDataCount, DigitImages.Count - testDataCount);
TestData = testImages.ConvertAll(x => x.ConvertToTrainData());
if (disturbanceProbability > 0)
{
AddDisturbance(trainImages, disturbanceProbability, disturbanceMaxDifference);
}
TrainData = trainImages.ConvertAll(x => x.ConvertToTrainData());
}
