static void Main(string[] args)
{
var config = Config.LoadConfig(args[0]);
String inputFolder = config.Get("input_folder");
String path = inputFolder + config.Get("image_file");
String outPath = inputFolder + "output_file.png";
bool saveAsGrayScale = config.Bool("save_input_as_grayscale", false);
float threshold = config.Float("threshold", 0.99f);
int numTrainings = config.Int("num_trainings", 100);
int numLabels = config.Int("num_labels", 20);
int numSeedPositions = config.Int("num_seed_positions", 100);
Bitmap bm = LoadImage(path);
if (true)
{
Bitmap mp = ConvertToGrayScale(bm);
SaveImage(mp, outPath + "input_as_grayscale.png");
}
List <float[]> data = LoadImageAsGrayScale(bm);
Data cellData = new Data(data);
List <int> labels = cellData.SeedValues(numLabels, numSeedPositions);
float maxIntensity = cellData.GetMaxIntensity();
CA ca = new CA(maxIntensity, threshold);
DebugSeedPositions(cellData, labels);
DebugLabels(labels);
for (int i = 0; i < numTrainings; i++)
{
IterateCells(ca, cellData, labels, threshold);
"Iteration: {0} Num state transitions: {1}".Cout(i, ca.NumStateTransitions);
if (ca.NumStateTransitions == 0)
{
break;
}
ca.NumStateTransitions = 0;
}
DebugSeedPositions(cellData, labels);
DebugLabels(labels);
SaveOutputImage(cellData, labels, outPath);
}
public static Data IterateCells(CA ca, Data cellData, List <int> labels, float threshold)
{
var imageData = cellData.GetData();
int y = 0;
foreach (float[] row in imageData)
{
int x = 0;
foreach (float pixel_value in row)
{
int[] fp = new int[2];
fp[0] = x;
fp[1] = y;
Position p = new Position(fp);
CellState s = cellData.GetCellState(p);
ca.ProcessCell(cellData, labels, p, s);
x++;
}
y++;
}
return(cellData);
}
public CellState[][] Train(List <float[]> data, float threshold)
{
Data d = new Data(data);
float maxIntensity = d.GetMaxIntensity();
CA ca = new CA(maxIntensity, threshold);
List <int> labels = d.SeedValues(20, 40);
for (int i = 0; i < 400; i++)
{
int y = 0;
foreach (float[] row in data)
{
int x = 0;
foreach (float pixel_value in row)
{
int[] fp = new int[2];
fp[0] = x;
fp[1] = y;
Position p = new Position(fp);
CellState s = d.GetCellState(p);
ca.ProcessCell(d, labels, p, s);
x++;
}
y++;
}
"Iteration: {0} Num state transitions: {1}".Cout(i, ca.NumStateTransitions);
if (ca.NumStateTransitions == 0)
{
break;
}
ca.NumStateTransitions = 0;
}
return(d.CellStates);
}
