// Generate point
void GeneratePoints()
{
int width = pointsPanel.ClientRectangle.Width;
int height = pointsPanel.ClientRectangle.Height;
int diameter = groupRadius * 2;
// generate groups of ten points
for (int i = 0; i < pointsCount;)
{
int cx = rand.Next(width);
int cy = rand.Next(height);
// generate group
for (int j = 0; (i < pointsCount) && (j < 10);)
{
int x = cx + rand.Next(diameter) - groupRadius;
int y = cy + rand.Next(diameter) - groupRadius;
// check if wee are not out
if ((x < 0) || (y < 0) || (x >= width) || (y >= height))
{
continue;
}
// add point
points[i, 0] = x;
points[i, 1] = y;
j++;
i++;
}
}
map = null;
pointsPanel.Invalidate();
mapPanel.Invalidate();
}
// Update map from network weights
void UpdateMap()
{
// lock
System.Threading.Monitor.Enter(this);
// lock bitmap
BitmapData mapData = mapBitmap.LockBits(new RectI(0, 0, 200, 200),
ImageLockMode.ReadWrite, PixelFormat.Format24bppRgb);
int stride = mapData.Stride;
int offset = stride - 200 * 3;
Layer layer = network.Layers[0];
byte[] ptr = mapData.Scan0;
int ptr_index = 0;
// for all rows
for (int y = 0, i = 0; y < 100; y++)
{
// for all pixels
for (int x = 0; x < 100; x++, i++, ptr_index += 6)
{
Neuron neuron = layer.Neurons[i];
// red
ptr[ptr_index + 2] = ptr[ptr_index + 2 + 3] = ptr[ptr_index + 2 + stride] = ptr[ptr_index + 2 + 3 + stride] =
(byte)Math.Max(0, Math.Min(255, neuron.Weights[0]));
// green
ptr[ptr_index + 1] = ptr[ptr_index + 1 + 3] = ptr[ptr_index + 1 + stride] = ptr[ptr_index + 1 + 3 + stride] =
(byte)Math.Max(0, Math.Min(255, neuron.Weights[1]));
// blue
ptr[ptr_index + 0] = ptr[ptr_index + 0 + 3] = ptr[ptr_index + 0 + stride] = ptr[ptr_index + 0 + 3 + stride] =
(byte)Math.Max(0, Math.Min(255, neuron.Weights[2]));
}
ptr_index += offset;
ptr_index += stride;
}
// unlock image
mapBitmap.UnlockBits(mapData);
// unlock
System.Threading.Monitor.Exit(this);
// invalidate maps panel
mapPanel.Invalidate();
}
