public override void PrintOnCanvas(Canvas canvas)
{
float height;
int iHeight;
if (values == null || values.Length != size.X)
{
values = new float[size.X];
}
float step = 1 / (float)size.X;
float tempVal;
values = PiwotToolsLib.Data.Arrays.BuildArray(size.X, (x) => func.Invoke(x * step));
float maxval = 0;
int maxvalid = 0;
for (int x = size.X - 1; x >= 0; x--)
{
if ((tempVal = func.Invoke(x * step)) != values[x])
{
values[x] = tempVal;
}
if (tempVal > maxval)
{
maxval = tempVal;
maxvalid = x;
}
}
float halfStep = step / 2;
string forwardCol = "";
for (int x = size.X - 1; x >= 0; x--)
{
height = values[x] * size.Y;
iHeight = (int)height;
iHeight = Arit.Clamp(iHeight, size.Y);
height -= iHeight;
forwardCol = (x == maxvalid ? "FF0000" : "FFFFFF");
for (int y = 0; y < size.Y - iHeight; y++)
{
canvas.DrawOnCanvas(" ", forwardCol, "000000", position.X + x, position.Y + y);
}
if (height >= 0.5f && iHeight != size.Y)
{
canvas.DrawOnCanvas("▄", forwardCol, "000000", position.X + x, position.Y + size.Y - iHeight - 1);
}
else if (iHeight == 0 && height >= 0.1f)
{
canvas.DrawOnCanvas("_", forwardCol, "000000", position.X + x, position.Y + size.Y - 1);
}
for (int y = size.Y - iHeight; y < size.Y; y++)
{
canvas.DrawOnCanvas("█", forwardCol, "000000", position.X + x, position.Y + y);
}
}
}
Exp term()
{
Exp x = unario();
while (token.TokenType == TokenType.OPMULTI || token.TokenType == TokenType.OPDIV)
{
Token tok = token; mover(); x = new Arit(tok, x, unario());
}
return(x);
}
Exp expr()
{
Exp x = term();
while (token.TokenType == TokenType.OPMAS || token.TokenType == TokenType.OPMENOS)
{
Token tok = token; mover(); x = new Arit(tok, x, term());
}
return(x);
}
static Bitmap VectorToBitmap(Vector <double> v)
{
Bitmap b = new Bitmap(pWidth, pHeight);
int xpos = 0;
int ypos = 0;
for (int i = 0; i < pTotal; i++)
{
xpos = i % pWidth;
ypos = i / pWidth;
b.SetPixel(xpos, ypos, Color.FromArgb(255, Arit.Clamp((int)(v[i] * 255), 0, 255), Arit.Clamp((int)(v[i + pTotal] * 255), 0, 255), Arit.Clamp((int)(v[i + pTotal * 2] * 255), 0, 255)));
}
return(b);
}
public void AddCanvas(Canvas canvas, int x, int y, int fromX, int fromY, int fromWidth, int fromHeight)
{
Int2 otherSize = canvas.Size;
if (x < 0)
{
x = 0;
}
int xStart = x;
if (y < 0)
{
y = 0;
}
int otherX;
int otherY = fromY;
fromHeight = Arit.Clamp(fromHeight + fromY, 0, canvas.Size.Y);
fromWidth = Arit.Clamp(fromWidth + fromX, 0, canvas.Size.X);
while (y < Size.Y && otherY < fromHeight)
{
otherX = fromX;
x = xStart;
while (x < Size.X && otherX < fromWidth)
{
frameFrontColorMap[y, x] = canvas.canvasFrontColorMap[otherY, otherX];
frameBackColorMap[y, x] = canvas.canvasBackColorMap[otherY, otherX];
frameCharMap[y][x] = canvas.canvasCharMap[otherY][otherX];
otherX++;
x++;
}
refreshMap[y, Size.X] = true;
otherY++;
y++;
}
canvasUpToDate = false;
}
static void Main(string[] args)
{
// Renderer.FrameLenght = 30;
displaySize = new Int2(100, 10);
memory = new float[displaySize.X - 2];
for (int i = 0; i < memory.Length; i++)
{
memory[i] = 0;
}
memoryLong = new List <float>();
Renderer.WindowSize = new Int2(Arit.Clamp(Arit.Clamp(pWidth * 2, 12, int.MaxValue) + 9 + displaySize.X, 20, int.MaxValue), Arit.Clamp(pHeight + 4 + pHeight % 2, displaySize.Y * 3, int.MaxValue));
Renderer.AsyncMode = false;
Renderer.WindowTitle = "FlagLearning";
string[] filePaths = Directory.GetFiles("flags");
Bitmap[] flagBitmaps = new Bitmap[filePaths.Length];
flagMatrixes = new Vector <double> [filePaths.Length];
PiwotDrawingLib.UI.Containers.PictureBox pb = new PiwotDrawingLib.UI.Containers.PictureBox(new Int2(1, 0), new Int2(pWidth + 2, pHeight / 2 + 2 + pHeight % 2), "OrgFlg", PiwotDrawingLib.Misc.Boxes.BoxType.round, new Bitmap(10, 10));
PiwotDrawingLib.UI.Containers.PictureBox pb2 = new PiwotDrawingLib.UI.Containers.PictureBox(new Int2(pWidth + 5, 0), new Int2(pWidth + 2, pHeight / 2 + 2 + pHeight % 2), "GenFlg", PiwotDrawingLib.Misc.Boxes.BoxType.round, new Bitmap(10, 10));
pb.SizeDifferenceHandling = PiwotDrawingLib.UI.Containers.Container.ContentHandling.CropContent;
pb2.SizeDifferenceHandling = PiwotDrawingLib.UI.Containers.Container.ContentHandling.CropContent;
pb.Draw();
pb2.Draw();
for (int i = 0; i < filePaths.Length; i++)
{
flagBitmaps[i] = PiwotToolsLib.PGraphics.Bitmaper.CutColorBits(PiwotToolsLib.PGraphics.Bitmaper.StreachToSize(new Bitmap(filePaths[i]), pWidth, pHeight), PiwotToolsLib.PGraphics.Coloring.ColorEncoding.Bit9);
flagMatrixes[i] = Vector <double> .Build.Dense(pTotal *3, (x) =>
{
int xpoint = (x % pTotal);
int ypoint = xpoint / pWidth;
xpoint = xpoint % pWidth;
switch (x / pTotal)
{
case 0:
return((double)flagBitmaps[i].GetPixel(xpoint, ypoint).R / 255);
case 1:
return((double)flagBitmaps[i].GetPixel(xpoint, ypoint).G / 255);
default:
return((double)flagBitmaps[i].GetPixel(xpoint, ypoint).B / 255);
}
});
}
//PiwotBrainLib.BrainCore bc = new PiwotBrainLib.BrainCore(pTotal * 3, new int[5] { 128, 64, 32, 64, 128 }, pTotal * 3);
PiwotBrainLib.BrainCore bc = new PiwotBrainLib.BrainCore("brain_mid_103.txt");
bc.StreachLayer(0, 2, 2, 12, 0.25);
bc.StreachLayer(6, 2, 2, 12, 0.25);
PiwotDrawingLib.UI.Containers.SimpleFunctionDisplay f = new PiwotDrawingLib.UI.Containers.SimpleFunctionDisplay(
new Int2(Arit.Clamp(pb2.Position.X + pb2.Size.X + 1, 20, int.MaxValue), pb2.Position.Y), displaySize, "Moment Error", PiwotDrawingLib.Misc.Boxes.BoxType.doubled, ErrorFunc);
PiwotDrawingLib.UI.Containers.SimpleFunctionDisplay f2 = new PiwotDrawingLib.UI.Containers.SimpleFunctionDisplay(
f.Position + new Int2(0, f.Size.Y), displaySize, "Moment error zoom", PiwotDrawingLib.Misc.Boxes.BoxType.doubled, ErrorFunc2);
PiwotDrawingLib.UI.Containers.SimpleFunctionDisplay f3 = new PiwotDrawingLib.UI.Containers.SimpleFunctionDisplay(
f2.Position + new Int2(0, f2.Size.Y), displaySize, "History error", PiwotDrawingLib.Misc.Boxes.BoxType.doubled, ErrorFuncLong);
PiwotDrawingLib.Misc.Boxes.DrawBox(PiwotDrawingLib.Misc.Boxes.BoxType.normal, 1, pHeight / 2 + 2, f.Position.X - 1, Renderer.WindowSize.Y - (pHeight / 2 + 2));
PiwotBrainLib.LearningBrain learningBrain = new PiwotBrainLib.LearningBrain(bc)
{
ExampleBlockSize = 1,
DataExtractor = RandomData,
Accuracy = 100000,
ErrorMemoryLenght = 200,
Momentum = 0.1,
NeuronActivation = new PiwotBrainLib.SechActivation()
};
Vector <double> ranfFlag;
Stopwatch stopwatch = new Stopwatch();
uint lTime = 0, cTime = 0;
int saved = 0;
long times = 0;
while (true)
{
stopwatch.Restart();
learningBrain.LearnBlocks(100);
stopwatch.Stop();
lTime = (uint)stopwatch.ElapsedMilliseconds;
ranfFlag = RandomFlag();
pb.Image = VectorToBitmap(ranfFlag);
stopwatch.Restart();
pb2.Image = VectorToBitmap(learningBrain.Calculate(ranfFlag));
stopwatch.Stop();
cTime = (uint)stopwatch.ElapsedMilliseconds;
pb.RefreshContent();
pb2.RefreshContent();
memory[memoryPoint] = (float)learningBrain.MeanSquaredError;
if (memoryLong.Contains(0))
{
System.Console.ReadKey(true);
}
memoryPoint++;
if (memoryPoint >= displaySize.X - 2)
{
memoryPoint = 0;
}
GetMaxErr();
Renderer.Draw($"AvgErr: {learningBrain.MeanSquaredError.ToString("0.0000")} -", 2, pHeight / 2 + 3);
Renderer.Draw($"MaxErr: {maxErr.ToString("0.0000")} -", 2, pHeight / 2 + 4);
Renderer.Draw($"MinErr: {minErr.ToString("0.0000")} -", 2, pHeight / 2 + 5);
Renderer.Draw($"Max-Min: {(maxErr - minErr).ToString("0.0000")} -", 2, pHeight / 2 + 6);
Renderer.Draw($"HMaxErr: {maxErrLong.ToString("0.0000")} -", 2, pHeight / 2 + 7);
Renderer.Draw($"Learned: {learningBrain.ExamplesDone} -", 2, pHeight / 2 + 8);
Renderer.Draw($"Learn T: {lTime} -", 2, pHeight / 2 + 9);
Renderer.Draw($"Calc T: {cTime} -", 2, pHeight / 2 + 10);
Renderer.Draw($"Acc: {learningBrain.Accuracy} -", 2, pHeight / 2 + 11);
Renderer.Draw($"Mom: {learningBrain.Momentum} -", 2, pHeight / 2 + 12);
f.Draw();
f2.Draw();
f3.Draw();
f.RefreshContent();
f2.RefreshContent();
f3.RefreshContent();
Renderer.ForcePrint();
times++;
if (times % 10 == 0)
{
memoryLong.Add((float)learningBrain.MeanSquaredError);
}
if (times > 100)
{
times = 0;
learningBrain.SaveToFile("", $"brain_mid_{saved}");
saved++;
}
//Console.ReadKey(true);
}
}
