private void button1_Click(object sender, EventArgs e)
{
Idx = (Idx + 1) % 9;
Left = new Image <Rgb, byte>((Idx + 1) + "right.png").Resize(320, 240, INTER.CV_INTER_NN);
Right = new Image <Rgb, byte>((Idx + 1) + "left.png").Resize(320, 240, INTER.CV_INTER_NN);
Network = new MarkovNetwork(Left, Right);
while (Network.Step > 1)
{
LogProbability maxProb = LogProbability.Zero;
int afterMaxStepsCount = 0;
while (afterMaxStepsCount < 5)
{
afterMaxStepsCount++;
Network.HiggsStep();
UpdateImage();
var prob = Network.GetPotential();
if (prob > maxProb)
{
maxProb = prob;
afterMaxStepsCount = 0;
}
}
Network.ReduceStep();
}
for (int i = 0; i < 100; i++)
{
Network.HiggsStep();
UpdateImage();
}
}
public string PrintLogProbability()
{
StringBuilder sb = new StringBuilder();
int iteration = 1;
sb.Append("Log Probability for iteration " + iteration.ToString().PadLeft(2) + ": ");
sb.Append(LogProbability.ToString("F10"));
sb.AppendLine();
return(sb.ToString());
}
public LogProbability GetPotential()
{
LogProbability prob = LogProbability.One;
for (int y = 0; y < RightMap.GetLength(0); y += Step)
{
for (int x = 0; x < RightMap.GetLength(1); x += Step)
{
prob *= Net[y, x].GetRightDownProb();
}
}
return(prob);
}
