global.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, (C) IDIAP                                //
  16 // Contact <francois.fleuret@idiap.ch> for comments & bug reports        //
  17 ///////////////////////////////////////////////////////////////////////////
  18
  19 #ifndef GLOBAL_H
  20 #define GLOBAL_H
  21
  22 #include <iostream>
  23
  24 using namespace std;
  25
  26 #include "misc.h"
  27 #include "param_parser.h"
  28 #include "progress_bar.h"
  29
  30 enum { LOSS_EXPONENTIAL,
  31        LOSS_EV_REGULARIZED,
  32        LOSS_HINGE,
  33        LOSS_LOGISTIC };
  34
  35 class Global {
  36 public:
  37   int niceness;
  38   int random_seed;
  39   int pictures_for_article;
  40
  41   char pool_name[buffer_size];
  42   char test_pool_name[buffer_size];
  43   char detector_name[buffer_size];
  44   char result_path[buffer_size];
  45
  46   char materials_image_numbers[buffer_size];
  47   char materials_pf_numbers[buffer_size];
  48
  49   int loss_type;
  50
  51   int nb_images;
  52
  53   int tree_depth_max;
  54
  55   int nb_weak_learners_per_classifier;
  56   int nb_classifiers_per_level;
  57   int nb_levels;
  58
  59   scalar_t proportion_negative_cells_for_training;
  60   int nb_negative_samples_per_positive;
  61   int nb_features_for_boosting_optimization;
  62   int force_head_belly_independence;
  63
  64   scalar_t proportion_for_train;
  65   scalar_t proportion_for_validation;
  66   scalar_t proportion_for_test;
  67   bool write_validation_rocs;
  68   bool write_parse_images;
  69   bool write_tag_images;
  70   scalar_t wanted_true_positive_rate;
  71   int nb_wanted_true_positive_rates;
  72
  73   int nb_scales_per_power_of_two;
  74   scalar_t min_head_radius;
  75   scalar_t max_head_radius;
  76   int root_cell_nb_xy_per_scale;
  77
  78   scalar_t pi_feature_window_min_size;
  79
  80   ProgressBar bar;
  81
  82   Global();
  83   ~Global();
  84
  85   void init_parser(ParamParser *parser);
  86   void read_parser(ParamParser *parser);
  87
  88   ostream *log_stream;
  89
  90   inline int scale_to_discrete_log_scale(scalar_t scale_ratio) {
  91     return int(floor(log(scale_ratio) / log(2.0) * nb_scales_per_power_of_two));
  92   }
  93
  94   inline scalar_t discrete_log_scale_to_scale(int discrete_scale) {
  95     return exp( - scalar_t(discrete_scale) * log(2.0) / scalar_t(nb_scales_per_power_of_two));
  96   }
  97 };
  98
  99 extern Global global;
 100
 101 #endif