public Bitmap GetBitmap()
{
Bitmap b = new Bitmap(Width, Height);
BitmapVector c = this.Clone();
c = c.Scale();
if (!c.matrix[0, 0].Equals(double.NaN))
{
for (int x = 0; x < Width; x++)
{
for (int y = 0; y < Height; y++)
{
try
{
b.SetPixel(x, y, Color.FromArgb((int)(c.matrix[x, y] * 255.0), (int)(c.matrix[x, y] * 255.0), (int)(c.matrix[x, y] * 255.0)));
}
catch (ArgumentException)
{
// TODO - c is usually filled with NaN if you get here
}
}
}
}
else
{
// TODO - hmmm...
}
return(b);
}
public BitmapVector GetClosestMatch(BitmapVector v)
{
if (vectors.Count == 0)
{
throw new CaptchaSolverException("There are no patterns loaded to match a sample pattern to!");
}
int index = 0;
double best = BitmapVector.RootMeanSquareDistance(vectors[0].Scale(), v.Scale());
//vectors[0].GetBitmap().Save("getmatch-a--" + index.ToString() + ".bmp");
//v.GetBitmap().Save("getmatch--b-" + index.ToString() + ".bmp");
//(vectors[0].Scale() - v.Scale()).GetBitmap().Save("getmatch-ab-" + index.ToString() + ".bmp");
//for (int i = 1; i < vectors.Count; i++)
Parallel.For(1, vectors.Count, i =>
{
//vectors[i].GetBitmap().Save("getmatch-a--" + i.ToString() + ".bmp");
//v.GetBitmap().Save("getmatch--b-" + i.ToString() + ".bmp");
//(vectors[i].Scale() - v.Scale()).GetBitmap().Save("getmatch-ab-" + i.ToString() + ".bmp");
double test = BitmapVector.RootMeanSquareDistance(vectors[i].Scale(), v.Scale());
if (test < best)
{
best = test;
index = i;
}
});
return(vectors[index]);
}
public BitmapVector GetClosestMatch(BitmapVector v)
{
if (vectors.Count == 0)
{
throw new CaptchaSolverException("There are no patterns loaded to which a sample pattern may be matched!");
}
int index = 0;
double best = BitmapVector.RootMeanSquareDistance(vectors[0].Scale(), v.Scale());
Parallel.For(1, vectors.Count, i =>
{
double test = BitmapVector.RootMeanSquareDistance(vectors[i].Scale(), v.Scale());
if (test < best)
{
best = test;
index = i;
}
});
return(vectors[index]);
}
public BitmapVector GetClosestMatch(BitmapVector v)
{
if (vectors.Count == 0)
{
throw new CaptchaSolverException("There are no patterns loaded to match a sample pattern to!");
}
int index = 0;
double best = BitmapVector.RootMeanSquareDistance(vectors[0].Scale(), v.Scale());
//vectors[0].GetBitmap().Save("getmatch-a--" + index.ToString() + ".bmp");
//v.GetBitmap().Save("getmatch--b-" + index.ToString() + ".bmp");
//(vectors[0].Scale() - v.Scale()).GetBitmap().Save("getmatch-ab-" + index.ToString() + ".bmp");
//for (int i = 1; i < vectors.Count; i++)
Parallel.For(1, vectors.Count, i =>
{
//vectors[i].GetBitmap().Save("getmatch-a--" + i.ToString() + ".bmp");
//v.GetBitmap().Save("getmatch--b-" + i.ToString() + ".bmp");
//(vectors[i].Scale() - v.Scale()).GetBitmap().Save("getmatch-ab-" + i.ToString() + ".bmp");
double test = BitmapVector.RootMeanSquareDistance(vectors[i].Scale(), v.Scale());
if (test < best)
{
best = test;
index = i;
}
});
return vectors[index];
}
public BitmapVector GetClosestMatch(BitmapVector v)
{
if (vectors.Count == 0)
{
throw new CaptchaSolverException("There are no patterns loaded to which a sample pattern may be matched!");
}
int index = 0;
double best = BitmapVector.RootMeanSquareDistance(vectors[0].Scale(), v.Scale());
Parallel.For(1, vectors.Count, i =>
{
double test = BitmapVector.RootMeanSquareDistance(vectors[i].Scale(), v.Scale());
if (test < best)
{
best = test;
index = i;
}
});
return vectors[index];
}