error_rates.cc

   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 #include "error_rates.h"
  20 #include "fusion_sort.h"
  21 #include "pose_cell_hierarchy.h"
  22 #include "boosted_classifier.h"
  23 #include "parsing_pool.h"
  24 #include "chrono.h"
  25 #include "materials.h"
  26
  27 void compute_errors_on_one_image(int level,
  28                                  LabelledImage *image,
  29                                  PoseCellSet *cell_set,
  30                                  int *nb_fns, int *nb_fas) {
  31
  32   int hit[image->nb_targets()];
  33
  34   for(int t = 0; t < image->nb_targets(); t++) {
  35     hit[t] = 0;
  36   }
  37
  38   Pose pose;
  39
  40   for(int c = 0; c < cell_set->nb_cells(); c++) {
  41     cell_set->get_cell(c)->get_centroid(&pose);
  42
  43     int false_positive = 1;
  44
  45     for(int t = 0; t < image->nb_targets(); t++) {
  46       if(pose.hit(level, image->get_target_pose(t))) {
  47         hit[t] = 1;
  48         false_positive = 0;
  49       }
  50     }
  51
  52     if(false_positive) (*nb_fas)++;
  53   }
  54
  55   for(int t = 0; t < image->nb_targets(); t++) {
  56     if(!hit[t]) (*nb_fns)++;
  57   }
  58 }
  59
  60 void print_decimated_error_rate(int level, LabelledImagePool *pool, Detector *detector) {
  61   LabelledImage *image;
  62   PoseCellScoredSet result_cell_set;
  63
  64   int nb_fns = 0, nb_fas = 0, nb_targets = 0;
  65   long int total_surface = 0;
  66
  67   cout << "Testing the detector." << endl;
  68
  69   global.bar.init(&cout, pool->nb_images());
  70   for(int i = 0; i < pool->nb_images(); i++) {
  71     image = pool->grab_image(i);
  72     total_surface += image->width() * image->height();
  73     image->compute_rich_structure();
  74
  75     detector->parse(image, &result_cell_set);
  76     result_cell_set.decimate_collide(level);
  77     result_cell_set.decimate_hit(level);
  78
  79     compute_errors_on_one_image(level, image, &result_cell_set, &nb_fns, &nb_fas);
  80
  81     if(global.write_parse_images) {
  82       char buffer[buffer_size];
  83       sprintf(buffer, "%s/parse-%04d.png", global.result_path, i);
  84       cout << "LEVEL = " << level << endl;
  85       write_image_with_detections(buffer,
  86                                   image,
  87                                   &result_cell_set, level);
  88     }
  89
  90     nb_targets += image->nb_targets();
  91     pool->release_image(i);
  92     global.bar.refresh(&cout, i);
  93   }
  94   global.bar.finish(&cout);
  95
  96   scalar_t fn_rate = scalar_t(nb_fns)/scalar_t(nb_targets);
  97   scalar_t nb_fas_per_vga = (scalar_t(nb_fas) / scalar_t(total_surface)) * scalar_t(640 * 480);
  98
  99   (*global.log_stream)
 100     << "INFO DECIMATED_NB_FALSE_NEGATIVES " << nb_fns << endl
 101     << "INFO DECIMATED_NB_TARGETS " << nb_targets << endl
 102     << "INFO DECIMATED_FALSE_NEGATIVE_RATE " << fn_rate << endl
 103     << "INFO DECIMATED_NB_FALSE_POSITIVES " << nb_fas << endl
 104     << "INFO DECIMATED_NB_FALSE_POSITIVES_PER_VGA " << nb_fas_per_vga << endl
 105     << "INFO NB_SCENES " << pool->nb_images() << endl
 106     << "INFO TOTAL_SURFACE " << total_surface << endl;
 107   ;
 108 }
 109
 110 void parse_scene(Detector *detector, const char *image_name) {
 111   RGBImage tmp;
 112   tmp.read_jpg(image_name);
 113   RichImage image(tmp.width(), tmp.height());
 114
 115   for(int y = 0; y < tmp.height(); y++) {
 116     for(int x = 0; x < tmp.width(); x++) {
 117       image.set_value(x, y, int(scalar_t(tmp.pixel(x, y, 0)) * 0.2989 +
 118                                 scalar_t(tmp.pixel(x, y, 1)) * 0.5870 +
 119                                 scalar_t(tmp.pixel(x, y, 2)) * 0.1140));
 120     }
 121   }
 122
 123   image.compute_rich_structure();
 124
 125   PoseCellScoredSet cell_set;
 126   detector->parse(&image, &cell_set);
 127   cell_set.decimate_hit(detector->nb_levels() - 1);
 128
 129   cout << "RESULT " << image_name << endl;
 130   for(int c = 0; c < cell_set.nb_cells(); c++) {
 131     cout << "ALARM " << c << endl;
 132     Pose alarm;
 133     cell_set.get_cell(c)->get_centroid(&alarm);
 134     alarm.print(&cout);
 135   }
 136   cout << "END_RESULT" << endl;
 137 }