private List <float> GetDatasetValuesFromImage(string base64Image)
{
base64Image = base64Image.Replace("data:image/png;base64,", "");
var imageBytes = Convert.FromBase64String(base64Image).ToArray();
Image image;
using (var stream = new MemoryStream(imageBytes))
{
image = Image.FromStream(stream);
}
var res = new Bitmap(SizeOfImage, SizeOfImage);
using (var g = Graphics.FromImage(res))
{
g.Clear(Color.White);
g.DrawImage(image, 0, 0, SizeOfImage, SizeOfImage);
}
var datasetValue = handwritingRecognition.GetDatasetValues(res, "ffffffff");
return(datasetValue);
}
static void Main(string[] args)
{
var fontsList = new List <string>()
{
"Arial", "Arial Narrow", "Calibri", "Times New Roman", "Calibri Light"
};
var fontStyles = new List <FontStyle>()
{
FontStyle.Bold
};
var pathDataset = @"../../../../MulticlassClassificationML.ConsoleApp/dataset.csv";
var drawString = "ABCDEFGHIJKLMNOPQRSTUVWXYZ";
var backgroundColor = "ffffffff";
var saveFiles = false;
var filesCatalogName = "images";
var tw = new StreamWriter(pathDataset);
tw.WriteLine("PixelValues,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,Number");
if (saveFiles)
{
var dn = new DirectoryInfo(filesCatalogName);
if (!dn.Exists)
{
dn.Create();
}
}
foreach (var c in drawString)
{
foreach (var fontName in fontsList)
{
for (int size = 10; size < 26; size++)
{
foreach (var fontStyle in fontStyles)
{
for (int angle = -13; angle < 13; angle++)
{
var res = new Bitmap(32, 32);
// Create font and brush.
Font drawFont = new Font(fontName, size, fontStyle);
var drawBrush = new SolidBrush(Color.Black);
// Create point for upper-left corner of drawing.
float x = 1;
float y = 1;
// Set format of string.
StringFormat drawFormat = new StringFormat();
using (var g = Graphics.FromImage(res))
{
g.Clear(Color.White);
g.RotateTransform(angle); // set up rotate
g.DrawString(c.ToString(), drawFont, drawBrush, x, y, drawFormat);
}
if (saveFiles)
{
var path = $"{filesCatalogName}\\{c}_{Guid.NewGuid()}.png";
res.Save(path);
}
var handwritingRecognition = new HandwritingRecognition();
var datasetValue = handwritingRecognition.GetDatasetValues(res, backgroundColor);
tw.WriteLine($"{string.Join(",", datasetValue)},{c - 'A'}");
}
}
}
}
}
tw.Close();
}