void Global::init_parser(ParamParser *parser) {
// The nice level of the process
- parser->add_association("niceness", "5", false);
+ parser->add_association("niceness", "15", false);
// Seed to initialize the random generator
parser->add_association("random-seed", "0", false);
// How many images to produce/process
parser->add_association("nb-images", "-1", false);
+ // What is the number of the feature to show in the images
+ parser->add_association("material-feature-nb", "-1", false);
// What is the maximum tree depth
parser->add_association("tree-depth-max", "1", false);
// Do we allow head-belly registration
parser->add_association("force-head-belly-independence", "no", false);
// How many weak-learners in every classifier
- parser->add_association("nb-weak-learners-per-classifier", "10", false);
+ parser->add_association("nb-weak-learners-per-classifier", "100", false);
// How many classifiers per level
parser->add_association("nb-classifiers-per-level", "25", false);
// How many levels
- parser->add_association("nb-levels", "1", false);
+ parser->add_association("nb-levels", "2", false);
// Proportion of images from the pool to use for training
parser->add_association("proportion-for-train", "0.5", false);
parser->add_association("write-tag-images", "no", false);
// What is the wanted true overall positive rate
- parser->add_association("wanted-true-positive-rate", "0.5", false);
+ parser->add_association("wanted-true-positive-rate", "0.75", false);
// How many rates to try for the sequence of tests
parser->add_association("nb-wanted-true-positive-rates", "10", false);
}
nb_images = parser->get_association_int("nb-images");
+ material_feature_nb = parser->get_association_int("material-feature-nb");
tree_depth_max = parser->get_association_int("tree-depth-max");
nb_weak_learners_per_classifier = parser->get_association_int("nb-weak-learners-per-classifier");
nb_classifiers_per_level = parser->get_association_int("nb-classifiers-per-level");