pi_feature_family.h

   1
   2 ///////////////////////////////////////////////////////////////////////////
   3 // This program is free software: you can redistribute it and/or modify  //
   4 // it under the terms of the version 3 of the GNU General Public License //
   5 // as published by the Free Software Foundation.                         //
   6 //                                                                       //
   7 // This program is distributed in the hope that it will be useful, but   //
   8 // WITHOUT ANY WARRANTY; without even the implied warranty of            //
   9 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU      //
  10 // General Public License for more details.                              //
  11 //                                                                       //
  12 // You should have received a copy of the GNU General Public License     //
  13 // along with this program. If not, see <http://www.gnu.org/licenses/>.  //
  14 //                                                                       //
  15 // Written by Francois Fleuret                                           //
  16 // (C) Idiap Research Institute                                          //
  17 //                                                                       //
  18 // Contact <francois.fleuret@idiap.ch> for comments & bug reports        //
  19 ///////////////////////////////////////////////////////////////////////////
  20
  21 /*
  22
  23   A PiFeatureFamily is simply a set of pi-features, with a method to
  24   extract a subfamily, so that we can forget all the features not used
  25   by a classifier when the learning is over.
  26
  27  */
  28
  29 #ifndef PI_FEATURE_FAMILY_H
  30 #define PI_FEATURE_FAMILY_H
  31
  32 #include "misc.h"
  33 #include "pose_cell_set.h"
  34 #include "pi_feature.h"
  35
  36 class PiFeatureFamily : public Storable {
  37   int _nb_features;
  38   PiFeature *_pi_features;
  39
  40 public:
  41   PiFeatureFamily();
  42   ~PiFeatureFamily();
  43
  44   inline int nb_features() { return _nb_features; }
  45
  46   inline PiFeature *get_feature(int f) {
  47     ASSERT(f >= 0 && f < _nb_features);
  48     return _pi_features + f;
  49   }
  50
  51   void read(istream *is);
  52   void write(ostream *os);
  53
  54   void resize(int nb_features);
  55   void randomize(int level);
  56
  57   void extract(PiFeatureFamily *pi_feature_family, bool *used_features, int *new_feature_indexes);
  58 };
  59
  60 #endif