NICE_VisLearning/features/localfeatures/LFColorWeijer.cpp

#include "vislearning/features/localfeatures/LFColorWeijer.h"

#include <fstream>
#include <iostream>
#include <exception>
#include "vislearning/baselib/ColorSpace.h"

using namespace OBJREC;

using namespace std;

using namespace NICE;

//! color representation for visualization
const int colors[11][3] =
{
  {0,     0,   0}, // black
  {0,     0, 255}, // blue
  {165,  42,  42}, // brown
  {190, 190, 190}, // grey
  {  0, 255,   0}, // green
  {255, 165,   0}, // orange
  {255, 192, 203}, // pink
  {160,  32, 240}, // purple
  {255,   0,   0}, // red
  {255, 255, 255}, // white
  {255, 255,   0}, // yellow
};


LFColorWeijer::LFColorWeijer( const Config *c )
{
  conf = c;
  tfile = conf->gS( "LFColorWeijer", "table", "/home/dbv/bilder/colorWeijer/w2c.txt");
  restore();
}

LFColorWeijer::~LFColorWeijer()
{
}

int LFColorWeijer::getDescSize() const
{
  return LASTCOLOR;
}

void LFColorWeijer::restore()
{
  ifstream fin( tfile.c_str() );
  if(!fin.is_open())
  {
    fthrow(Exception,"ColorWeijer: could not find lookup table file.");
  }
  
  while(!fin.eof())
  {
    double rd,gd,bd;
    int r,g,b;
    fin >> rd;
    fin >> gd;
    fin >> bd;
        
    r = rd/8;
    g = gd/8;
    b = bd/8;

    for(int i = 0; i < 11; i++)
    {
      fin >> hist[r][g][b][i];
    }
  }
    /*
  for(int r = 0; r < 32; r++)
  {
    for(int g = 0; g < 32; g++)
    {
      for(int b = 0; b < 32; b++)
      {
        for(int i = 0; i < 11; i++)
        {
          fin >> hist[r][g][b][i];
        }
      }
    }
  }  */
}

int LFColorWeijer::getDescriptors( const NICE::Image & img, VVector & positions, VVector & features ) const
{
  cerr << "this are COLOR Features, they won't work on gray value images" << endl;
  exit( -1 );
}

int LFColorWeijer::getDescriptors( const NICE::ColorImage & img, VVector & positions, VVector & features ) const
{
  int width = ( int )img.width();
  int height = ( int )img.height();

  for ( int j = 0; j < ( int )positions.size(); j++ )
  {
    int x = positions[j][0];
    int y = positions[j][1];
    int r = img(x,y,0)/8;
    int g = img(x,y,1)/8;
    int b = img(x,y,2)/8;
      
    Vector feat( 11 );
    for ( uint i = 0; i < 11; i++ )
    {
      feat[i] = hist[r][g][b][i];
    }
    features.push_back( feat );
  }
 
  return 1;
}

void LFColorWeijer::visualizeFeatures( NICE::Image & mark, const VVector & positions, size_t color ) const
{

}

int LFColorWeijer::findColor( string &fn )
{
  if ( fn.find( "black" ) != string::npos )
    return BLACK;
  if ( fn.find( "blue" ) != string::npos )
    return BLUE;
  if ( fn.find( "brown" ) != string::npos )
    return BROWN;
  if ( fn.find( "grey" ) != string::npos )
    return GREY;
  if ( fn.find( "green" ) != string::npos )
    return GREEN;
  if ( fn.find( "orange" ) != string::npos )
    return ORANGE;
  if ( fn.find( "pink" ) != string::npos )
    return PINK;
  if ( fn.find( "purple" ) != string::npos )
    return PURPLE;
  if ( fn.find( "red" ) != string::npos )
    return RED;
  if ( fn.find( "white" ) != string::npos )
    return WHITE;
  if ( fn.find( "yellow" ) != string::npos )
    return YELLOW;

  return -1;
}

void LFColorWeijer::visualizeFeatures( NICE::ColorImage & out, const VVector & features, const VVector & position ) const
{
  for ( int i = 0; i < ( int )position.size(); i++ )
  {
    int maxpos = 0;
    double maxval = 0.0;
    for ( int j = 0; j < ( int )features[i].size(); j++ )
    {
      if ( maxval < features[i][j] )
      {
        maxval = features[i][j];
        maxpos = j;
      }
    }

    out.setPixel( position[i][0], position[i][1], colors[maxpos][0], colors[maxpos][1], colors[maxpos][2] );
  }
}

void LFColorWeijer::visualizeFeatures( const NICE::ColorImage & cimg ) const
{
  ColorImage out;
  visualizeFeatures( cimg, out );
}

void LFColorWeijer::visualizeFeatures( const NICE::ColorImage & cimg, NICE::ColorImage &out ) const
{
  VVector pos, feats;
  for ( int y = 0; y < cimg.height(); y++ )
  {
    for ( int x = 0; x < cimg.width(); x++ )
    {
      Vector vec( 2 );
      vec[0] = x;
      vec[1] = y;
      pos.push_back( vec );
    }
  }

  getDescriptors( cimg, pos, feats );
  
  //heatmap for a special class
  /*ofstream fout("out.txt");
  
  int counter = 0;
  for ( int y = 0; y < cimg.height(); y++ )
  {
    for ( int x = 0; x < cimg.width(); x++, counter++ )
    {
      fout << feats[counter][8] << " ";
    }
  }
  cout << "counter: " << counter << " feats.size(): " << feats.size() << endl;
  
  fout.close();*/

  out.resize( cimg.width(), cimg.height() );
  out.set( 0, 0, 0 );
  visualizeFeatures( out, feats, pos );
  ColorImage combinedout( cimg.width()*2, cimg.height() );

  int width = ( int )cimg.width();

  for ( int y = 0; y < ( int )cimg.height(); y++ )
  {
    for ( int x = 0; x < width; x++ )
    {
      combinedout.setPixel( x, y, cimg.getPixel( x, y, 0 ), cimg.getPixel( x, y, 1 ), cimg.getPixel( x, y, 2 ) );
      combinedout.setPixel( x + width, y, out.getPixel( x, y, 0 ), out.getPixel( x, y, 1 ), out.getPixel( x, y, 2 ) );
    }
  }

  showImage( combinedout, "result" );
}

void LFColorWeijer::getFeats( const ColorImage &img, MultiChannelImageT<double> &feats )
{
  int width = ( int )img.width();
  int height = ( int )img.height();
  feats.reInit( width, height, 11);

  for ( int y = 0; y < height; y++ )
  {
    for ( int x = 0; x < width; x++ )
    {
      int r = img(x,y,0)/8;
      int g = img(x,y,1)/8;
      int b = img(x,y,2)/8;
      
      for ( uint i = 0; i < 11; i++ )
      {
        feats.set( x, y, hist[r][g][b][i], i );
      }
    }
  }

  return;
}