private void Button_Click_1(object sender, RoutedEventArgs e)
{
DigitImage currImage = trainImages[0];
Bitmap bitMap = MakeBitmap(currImage, 6);
foto.Source = bitMap.ToBitmapImage();
}
public static DigitImage[] LoadData(string pixelFile, string labelFile, int numImages)
{
DigitImage[] result = new DigitImage[numImages];
byte[][] pixels = new byte[28][];
for (int i = 0; i < pixels.Length; ++i)
{
pixels[i] = new byte[28];
}
FileStream ifsPixels = new FileStream(pixelFile, FileMode.Open);
FileStream ifsLabels = new FileStream(labelFile, FileMode.Open);
BinaryReader brImages = new BinaryReader(ifsPixels);
BinaryReader brLabels = new BinaryReader(ifsLabels);
int magic1 = brImages.ReadInt32(); // stored as big endian
magic1 = ReverseBytes(magic1); // convert to Intel format
int imageCount = brImages.ReadInt32();
imageCount = ReverseBytes(imageCount);
int numRows = brImages.ReadInt32();
numRows = ReverseBytes(numRows);
int numCols = brImages.ReadInt32();
numCols = ReverseBytes(numCols);
int magic2 = brLabels.ReadInt32();
magic2 = ReverseBytes(magic2);
int numLabels = brLabels.ReadInt32();
numLabels = ReverseBytes(numLabels);
for (int di = 0; di < numImages; ++di)
{
for (int i = 0; i < 28; ++i) // get 28x28 pixel values
{
for (int j = 0; j < 28; ++j)
{
byte b = brImages.ReadByte();
pixels[i][j] = b;
}
}
byte lbl = brLabels.ReadByte(); // get the label
DigitImage dImage = new DigitImage(28, 28, pixels, lbl);
result[di] = dImage;
} // Each image
ifsPixels.Close(); brImages.Close();
ifsLabels.Close(); brLabels.Close();
return(result);
}
public static Bitmap MakeBitmap(DigitImage dImage, int mag)
{
int width = dImage.width * mag;
int height = dImage.height * mag;
Bitmap result = new Bitmap(width, height);
Graphics gr = Graphics.FromImage(result);
for (int i = 0; i < dImage.height; ++i)
{
for (int j = 0; j < dImage.width; ++j)
{
int pixelColor = 255 - dImage.pixels[i][j]; // black digits
System.Drawing.Color c = System.Drawing.Color.FromArgb(pixelColor, pixelColor, pixelColor);
SolidBrush sb = new SolidBrush(c);
gr.FillRectangle(sb, j * mag, i * mag, mag, mag);
}
}
return(result);
}
public async Task <bool> Lern()
{
await Task.Factory.StartNew(async() =>
{
await GenerateRandomWeight();
await GenerateBias();
await LoadTreningData(trainImages);
//for every image
for (int c = 0; c < 60000; c++)
{
DigitImage currImage = trainImages[c];
Bitmap bitMap = MakeBitmap(currImage, 6);
foto.Dispatcher.Invoke(new UpdateImageCallback(this.UpdateImage), bitMap);
await CountHLOutput(c);
await CountOLOutput(c);
await ErrorTotals(c);
await ErrorHiddenOuT(c);
await ErrorHiddenIn(c);
}
await LoadTreningData(testImages);
for (int t = 0; t < 10000; t++)
{
DigitImage currImage = testImages[t];
Bitmap bitMap = MakeBitmap(currImage, 6);
TestFoto.Dispatcher.Invoke(new UpdateImageCallback(this.UpdateTestImage), bitMap);
await CountHLOutput(t);
await CountOLOutput(t);
await CheckResult(t);
}
});
return(true);
}