public static Bitmap MakeBitmapFromMnist(MnistImage mnsIm, int coof)
{
Bitmap bmI = new Bitmap(mnsIm.width * coof, mnsIm.height * coof);
Graphics gr = Graphics.FromImage(bmI);
for (int i = 0; i < mnsIm.width; i++)
{
for (int j = 0; j < mnsIm.height; j++)
{
int pixelColor = 255 - mnsIm.pixels[i][j];
System.Drawing.Color c = System.Drawing.Color.FromArgb(pixelColor, pixelColor, pixelColor);
SolidBrush sb = new SolidBrush(c);
gr.FillRectangle(sb, j * coof, i * coof, coof, coof);
}
}
return(bmI);
}
public static List <MnistImage> ReadMnistBase(string imageFilePath, string labelFilePath)
{
List <MnistImage> images = new List <MnistImage>();
System.IO.FileStream fsImage = new System.IO.FileStream(imageFilePath, System.IO.FileMode.Open);
System.IO.FileStream fsLabel = new System.IO.FileStream(labelFilePath, System.IO.FileMode.Open);
System.IO.BinaryReader brImage = new System.IO.BinaryReader(fsImage);
System.IO.BinaryReader brLabel = new System.IO.BinaryReader(fsLabel);
int magic1 = ReverseByte(brImage.ReadInt32());
int imageCount = ReverseByte(brImage.ReadInt32());
int rowsCount = ReverseByte(brImage.ReadInt32());
int colsCount = ReverseByte(brImage.ReadInt32());
int magic2 = ReverseByte(brLabel.ReadInt32());
int labesCount = ReverseByte(brLabel.ReadInt32());
for (int n = 0; n < imageCount; n++)
{
List <List <byte> > bytes = new List <List <byte> >();
for (int i = 0; i < rowsCount; i++)
{
List <byte> col = new List <byte>();
for (int j = 0; j < colsCount; j++)
{
col.Add(brImage.ReadByte());
}
bytes.Add(col);
}
byte label = brLabel.ReadByte();
MnistImage img = new MnistImage(rowsCount, colsCount, bytes, label);
images.Add(img);
}
fsImage.Close();
fsLabel.Close();
brImage.Close();
brLabel.Close();
return(images);
}
public void MakeMnistTeacherList(string pathToImages, string pathToLabels)
{
List <MnistImage> images = MnistImage.ReadMnistBase(pathToImages, pathToLabels);
double average = 0, sum = 0, max = double.MinValue;
int n = 0;
for (int i = 0; i < images.Count; i++)
{
for (int l = 0; l < images[i].height; l++)
{
for (int m = 0; m < images[i].width; m++)
{
sum += images[i].pixels[m][l];
n++;
if (max < images[i].pixels[m][l])
{
max = images[i].pixels[m][l];
}
}
}
}
average = sum / n;
List <List <double> > im = new List <List <double> >();
for (int i = 0; i < images.Count; i++)
{
DataParticle tp = new DataParticle();
for (int l = 0; l < images[i].height; l++)
{
List <double> temp = new List <double>();
for (int m = 0; m < images[i].width; m++)
{
temp.Add((images[i].pixels[m][l] - average) / max);
}
tp.image.Add(temp);
}
string s = "";
for (int l = 0; l < 9; l++)
{
if (images[i].label != l)
{
s += "0 ";
}
else
{
s += "1 ";
}
}
if (images[i].label != 9)
{
s += "0";
}
else
{
s += "1";
}
tp.label = s;
List.Add(tp);
tp.answ = images[i].label.ToString();
}
batchLenght = images.Count();
}