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[folded-ctf.git] / 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                                           //
16 // (C) Idiap Research Institute                                          //
17 //                                                                       //
18 // Contact <francois.fleuret@idiap.ch> for comments & bug reports        //
19 ///////////////////////////////////////////////////////////////////////////
20
21 #include "error_rates.h"
22 #include "fusion_sort.h"
23 #include "pose_cell_hierarchy.h"
24 #include "boosted_classifier.h"
25 #include "parsing_pool.h"
26 #include "materials.h"
27
28 void compute_errors_on_one_image(int level,
29                                  LabelledImage *image,
30                                  PoseCellSet *cell_set,
31                                  int *nb_fns, int *nb_fas) {
32
33   int hit[image->nb_targets()];
34
35   for(int t = 0; t < image->nb_targets(); t++) {
36     hit[t] = 0;
37   }
38
39   Pose pose;
40
41   for(int c = 0; c < cell_set->nb_cells(); c++) {
42     cell_set->get_cell(c)->get_centroid(&pose);
43
44     int false_positive = 1;
45
46     for(int t = 0; t < image->nb_targets(); t++) {
47       if(pose.hit(level, image->get_target_pose(t))) {
48         hit[t] = 1;
49         false_positive = 0;
50       }
51     }
52
53     if(false_positive) (*nb_fas)++;
54   }
55
56   for(int t = 0; t < image->nb_targets(); t++) {
57     if(!hit[t]) (*nb_fns)++;
58   }
59 }
60
61 void print_decimated_error_rate(int level, LabelledImagePool *pool, Detector *detector) {
62   LabelledImage *image;
63   PoseCellScoredSet result_cell_set;
64
65   int nb_fns = 0, nb_fas = 0, nb_targets = 0;
66   long int total_surface = 0;
67
68   cout << "Testing the detector." << endl;
69
70   global.bar.init(&cout, pool->nb_images());
71   for(int i = 0; i < pool->nb_images(); i++) {
72     image = pool->grab_image(i);
73     total_surface += image->width() * image->height();
74     image->compute_rich_structure();
75
76     detector->parse(image, &result_cell_set);
77     result_cell_set.decimate_collide(level);
78     result_cell_set.decimate_hit(level);
79
80     compute_errors_on_one_image(level, image, &result_cell_set, &nb_fns, &nb_fas);
81
82     if(global.write_parse_images) {
83       char buffer[buffer_size];
84       sprintf(buffer, "%s/parse-%04d.png", global.result_path, i);
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 }