static void Main( string[] args )
{
List<int[]> images = new List<int[]>();
string[] files = System.IO.Directory.GetFiles( @"..\..\Images\samples", "*.bmp" );
foreach( string filename in files )
{
int[] image = Load( filename );
images.Add( image );
}
MacroColumn macro = new MacroColumn( images[0].Length, 5 );
//do_draw_column_activity = true;
// macro.PrintReceptiveFields( "fields.txt", 16, 16 );
//macro.DrawReceptiveFields( "fields.bmp", w, h );
macro.on_iteration_end = DrawColumnActivity;
for( int v_cycle = 0; v_cycle < 1000; ++v_cycle )
{
if( ( v_cycle % 5 ) == 0 )
{
int i = (int)( Init.rnd.NextDouble() * images.Count );
int[] input_image = images[i];
macro.SetInputData( input_image );
}
macro.Do_VCycle( true );
Console.WriteLine( "cycle #={2} total_afferent_weight={0} count_afferents={1}", macro.GetTotalAfferentWeight(), macro.CountActiveAfferents(), v_cycle );
// macro.DrawReceptiveFields( string.Format( "fields_{0}.bmp", v_cycle ), w, h );
if( ( v_cycle % 10 ) == 0 )
{
// выведем карты афферентной чувствительности для каждой микроколонки
//macro.PrintReceptiveFields( "fields.txt", w, h );
string filename = string.Format( "fields_{0}.bmp", v_cycle );
macro.DrawReceptiveFields( filename, w, h );
wrt_seq.WriteLine( "{0}", filename );
wrt_seq.Flush();
}
/**/
}
return;
}