}
for(int i = 0; i < min(global.nb_images, pool->nb_images()); i++) {
- image = pool->grab_image(i);
-
- RGBImage result(image->width(), image->height());
- image->to_rgb(&result);
- RGBImageSubpixel result_sp(&result);
-
- int u = 0;
-
- // image->compute_rich_structure();
-
- for(int t = 0; t < image->nb_targets(); t++) {
-
- image->get_target_pose(t)->draw(4, 255, 0, 0,
- hierarchy->nb_levels() - 1, &result_sp);
-
- hierarchy->get_containing_cell(image,
- hierarchy->nb_levels() - 1,
- image->get_target_pose(t), &target_cell);
-
- target_cell.get_centroid(&p);
-
- p.draw(4, 0, 255, 0, hierarchy->nb_levels() - 1, &result_sp);
-
- PiReferential referential(&target_cell);
-
- sprintf(buffer, "/tmp/referential-%05d-%02d.png", i, u);
- image->compute_rich_structure();
- write_referential_png(buffer, hierarchy->nb_levels() - 1, image, &referential, 0);
-
- if(detector) {
- int nb_features = 100;
- for(int f = 0; f < nb_features; f++)
- if(f == 0 || f ==50 || f == 53) {
- int n_family, n_feature;
- if(f < nb_features/2) {
- n_family = 0;
- n_feature = f;
- } else {
- n_family = detector->_nb_classifiers_per_level;
- n_feature = f - nb_features/2;
- }
- pf = detector->_pi_feature_families[n_family]->get_feature(n_feature);
- sprintf(buffer, "/tmp/pf-%05d-%02d-%03d.png", i, u, f);
- write_referential_png(buffer,
- hierarchy->nb_levels() - 1,
- image,
- &referential,
- pf);
+ image = pool->grab_image(i);
+
+ RGBImage result(image->width(), image->height());
+ image->to_rgb(&result);
+ RGBImageSubpixel result_sp(&result);
+
+ int u = 0;
+
+ // image->compute_rich_structure();
+
+ for(int t = 0; t < image->nb_targets(); t++) {
+
+ image->get_target_pose(t)->draw(4, 255, 0, 0,
+ hierarchy->nb_levels() - 1, &result_sp);
+
+ hierarchy->get_containing_cell(image,
+ hierarchy->nb_levels() - 1,
+ image->get_target_pose(t), &target_cell);
+
+ target_cell.get_centroid(&p);
+
+ p.draw(4, 0, 255, 0, hierarchy->nb_levels() - 1, &result_sp);
+
+ PiReferential referential(&target_cell);
+
+ sprintf(buffer, "/tmp/referential-%05d-%02d.png", i, u);
+ image->compute_rich_structure();
+ write_referential_png(buffer, hierarchy->nb_levels() - 1, image, &referential, 0);
+
+ if(detector) {
+ int nb_features = 100;
+ for(int f = 0; f < nb_features; f++)
+ if(f == 0 || f ==50 || f == 53) {
+ int n_family, n_feature;
+ if(f < nb_features/2) {
+ n_family = 0;
+ n_feature = f;
+ } else {
+ n_family = detector->_nb_classifiers_per_level;
+ n_feature = f - nb_features/2;
}
+ pf = detector->_pi_feature_families[n_family]->get_feature(n_feature);
+ sprintf(buffer, "/tmp/pf-%05d-%02d-%03d.png", i, u, f);
+ write_referential_png(buffer,
+ hierarchy->nb_levels() - 1,
+ image,
+ &referential,
+ pf);
}
- u++;
- }
+ }
+ u++;
+ }
- // sprintf(buffer, "/tmp/image-%05d.png", i);
- // cout << "Writing " << buffer << endl;
- // result_sp.write_png(buffer);
+ // sprintf(buffer, "/tmp/image-%05d.png", i);
+ // cout << "Writing " << buffer << endl;
+ // result_sp.write_png(buffer);
- // if(global.write_tag_images) {
- // sprintf(buffer, "/tmp/image-%05d_tags.png", i);
- // cout << "Writing " << buffer << endl;
- // image->compute_rich_structure();
- // image->write_tag_png(buffer);
- // }
+ // if(global.write_tag_images) {
+ // sprintf(buffer, "/tmp/image-%05d_tags.png", i);
+ // cout << "Writing " << buffer << endl;
+ // image->compute_rich_structure();
+ // image->write_tag_png(buffer);
+ // }
- pool->release_image(i);
- }
+ pool->release_image(i);
+ }
delete hierarchy;
}