public static void LoadLetterMnist(string path, string secondPath, out Bitmap[] bitmap, out char[] labels, PictureBox pictureBoxAI)
{
Bitmap[] tempBitmap = null;
byte[] tempLabels = null;
bitmap = null;
labels = null;
try
{
Console.WriteLine("\nBegin\n");
FileStream ifsLabels =
new FileStream(path,
FileMode.Open); // test labels
FileStream ifsImages =
new FileStream(secondPath,
FileMode.Open); // test images
BinaryReader brLabels =
new BinaryReader(ifsLabels);
BinaryReader brImages =
new BinaryReader(ifsImages);
int magic1 = BigEndianUtils.ReadBigInt32(brImages); // discard
int numImages = BigEndianUtils.ReadBigInt32(brImages);
int numRows = BigEndianUtils.ReadBigInt32(brImages);
int numCols = BigEndianUtils.ReadBigInt32(brImages);
tempBitmap = new Bitmap[numImages];
int magic2 = BigEndianUtils.ReadBigInt32(brLabels);
int numLabels = BigEndianUtils.ReadBigInt32(brLabels);
tempLabels = new byte[numLabels];
int alphaCounter = 0;
// each test image
for (int di = 0; di < numImages; ++di)
{
byte curLabel = brLabels.ReadByte();
if (curLabel < 10)
{
for (int i = 0; i < LetterNN.IMAGE_SIDE; ++i)
{
for (int j = 0; j < LetterNN.IMAGE_SIDE; ++j)
{
brImages.ReadByte();
}
}
}
else
{
tempBitmap[alphaCounter] = new Bitmap(numRows, numCols);
for (int i = 0; i < LetterNN.IMAGE_SIDE; ++i)
{
for (int j = 0; j < LetterNN.IMAGE_SIDE; ++j)
{
byte b = brImages.ReadByte();
tempBitmap[alphaCounter].SetPixel(i, j, Color.FromArgb(b, b, b));
}
}
tempLabels[alphaCounter++] = curLabel;
}
} // each image
bitmap = new Bitmap[alphaCounter];
labels = new char[alphaCounter];
for (int i = 0; i < bitmap.Length; i++)
{
bitmap[i] = tempBitmap[i];
labels[i] = (char)LetterNN.MAPPING[tempLabels[i]];
}
ifsImages.Close();
brImages.Close();
ifsLabels.Close();
brLabels.Close();
Console.WriteLine("\nEnd\n");
Console.ReadLine();
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
Console.ReadLine();
}
pictureBoxAI.Invoke(new Action(() =>
{
if (NeuralNetwork.digit)
{
pictureBoxAI.Image = Properties.Resources.ai;
}
else
{
pictureBoxAI.Image = null;
}
}));
}
public static void LoadDigitMnist(string path, string secondPath, out Bitmap[] bitmap, out byte[] labels, PictureBox pictureBoxAI)
{
bitmap = null;
labels = null;
try
{
Console.WriteLine("\nBegin\n");
FileStream ifsLabels =
new FileStream(path,
FileMode.Open); // test labels
FileStream ifsImages =
new FileStream(secondPath,
FileMode.Open); // test images
BinaryReader brLabels =
new BinaryReader(ifsLabels);
BinaryReader brImages =
new BinaryReader(ifsImages);
int magic1 = BigEndianUtils.ReadBigInt32(brImages); // discard
int numImages = BigEndianUtils.ReadBigInt32(brImages);
int numRows = BigEndianUtils.ReadBigInt32(brImages);
int numCols = BigEndianUtils.ReadBigInt32(brImages);
bitmap = new Bitmap[numImages];
int magic2 = BigEndianUtils.ReadBigInt32(brLabels);
int numLabels = BigEndianUtils.ReadBigInt32(brLabels);
labels = new byte[numLabels];
// each test image
for (int di = 0; di < numImages; ++di)
{
bitmap[di] = new Bitmap(numRows, numCols);
for (int i = 0; i < DigitNN.IMAGE_SIDE; ++i)
{
for (int j = 0; j < DigitNN.IMAGE_SIDE; ++j)
{
byte b = brImages.ReadByte();
bitmap[di].SetPixel(j, i, Color.FromArgb(b, b, b));
}
}
labels[di] = brLabels.ReadByte();
} // each image
ifsImages.Close();
brImages.Close();
ifsLabels.Close();
brLabels.Close();
Console.WriteLine("\nEnd\n");
Console.ReadLine();
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
Console.ReadLine();
}
pictureBoxAI.Invoke(new Action(() =>
{
if (NeuralNetwork.digit)
{
pictureBoxAI.Image = Properties.Resources.ai;
}
else
{
pictureBoxAI.Image = null;
}
}));
}
