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Global change of API

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This commit is contained in:
Simon Giraudot
2017-03-16 14:16:44 +01:00
parent 5a63cbba62
commit 77a590d338
31 changed files with 3122 additions and 3106 deletions
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Classification/examples/Classification/example_feature.cpp
+37 -29
View File
@@ -4,12 +4,7 @@
#include <string>
#include <CGAL/Simple_cartesian.h>
#include <CGAL/Classifier.h>
#include <CGAL/Classification/Point_set_neighborhood.h>
#include <CGAL/Classification/Planimetric_grid.h>
#include <CGAL/Classification/Feature_base.h>
#include <CGAL/Classification/Feature/Eigen.h>
#include <CGAL/Classification.h>
#include <CGAL/IO/read_ply_points.h>
typedef CGAL::Simple_cartesian<double> Kernel;
@@ -18,15 +13,19 @@ typedef Kernel::Iso_cuboid_3 Iso_cuboid_3;
typedef std::vector<Point> Point_range;
typedef CGAL::Identity_property_map<Point> Pmap;
typedef CGAL::Classifier<Point_range, Pmap> Classifier;
namespace Classif = CGAL::Classification;
typedef CGAL::Classification::Point_set_neighborhood<Kernel, Point_range, Pmap> Neighborhood;
typedef CGAL::Classification::Local_eigen_analysis<Kernel, Point_range, Pmap> Local_eigen_analysis;
typedef Classif::Sum_of_weighted_features_predicate Classification_predicate;
typedef CGAL::Classification::Label_handle Label_handle;
typedef CGAL::Classification::Feature_handle Feature_handle;
typedef Classif::Point_set_neighborhood<Kernel, Point_range, Pmap> Neighborhood;
typedef Classif::Local_eigen_analysis<Kernel, Point_range, Pmap> Local_eigen_analysis;
typedef CGAL::Classification::Feature::Sphericity<Kernel, Point_range, Pmap> Sphericity;
typedef Classif::Label_handle Label_handle;
typedef Classif::Feature_handle Feature_handle;
typedef Classif::Label_set Label_set;
typedef Classif::Feature_set Feature_set;
typedef Classif::Feature::Sphericity<Kernel, Point_range, Pmap> Sphericity;
// User-defined feature that identifies a specific area of the 3D
@@ -37,10 +36,12 @@ class My_feature : public CGAL::Classification::Feature_base
const Point_range& range;
double xmin, xmax, ymin, ymax;
public:
My_feature (const Point_range& range, // constructor should start with item range
My_feature (const Point_range& range,
double xmin, double xmax, double ymin, double ymax)
: range (range), xmin(xmin), xmax(xmax), ymin(ymin), ymax(ymax)
{ }
{
this->set_name ("my_feature");
}
double value (std::size_t pt_index)
{
@@ -70,29 +71,36 @@ int main (int argc, char** argv)
Neighborhood neighborhood (pts, Pmap());
Local_eigen_analysis eigen (pts, Pmap(), neighborhood.k_neighbor_query(6));
Classifier classifier (pts, Pmap());
Label_set labels;
Label_handle a = labels.add ("label_A");
Label_handle b = labels.add ("label_B");
std::cerr << "Computing features" << std::endl;
Feature_handle sphericity = classifier.add_feature<Sphericity> (eigen);
Feature_set features;
Feature_handle sphericity = features.add<Sphericity> (pts, eigen);
// Feature that identifies points whose x coordinate is between -20
// and 20 and whose y coordinate is between -15 and 15
Feature_handle my_feature = classifier.add_feature<My_feature> (-20., 20., -15., 15.);
Feature_handle my_feature = features.add<My_feature> (pts, -20., 20., -15., 15.);
Classification_predicate predicate (labels, features);
std::cerr << "Setting weights" << std::endl;
sphericity->set_weight(0.5);
my_feature->set_weight(0.25);
predicate.set_weight(sphericity, 0.5);
predicate.set_weight(my_feature, 0.25);
std::cerr << "Setting up labels" << std::endl;
Label_handle a = classifier.add_label ("label_A");
a->set_feature_effect (sphericity, CGAL::Classification::Feature::FAVORING);
a->set_feature_effect (my_feature, CGAL::Classification::Feature::FAVORING);
predicate.set_effect (a, sphericity, Classification_predicate::FAVORING);
predicate.set_effect (a, my_feature, Classification_predicate::FAVORING);
predicate.set_effect (b, sphericity, Classification_predicate::PENALIZING);
predicate.set_effect (b, my_feature, Classification_predicate::PENALIZING);
Label_handle b = classifier.add_label ("label_B");
b->set_feature_effect (sphericity, CGAL::Classification::Feature::PENALIZING);
b->set_feature_effect (my_feature, CGAL::Classification::Feature::PENALIZING);
classifier.run_with_graphcut (neighborhood.k_neighbor_query(12), 0.2);
std::vector<std::size_t> label_indices;
Classif::classify_with_graphcut<CGAL::Sequential_tag>
(pts, Pmap(), Pmap(), labels, predicate,
neighborhood.k_neighbor_query(12),
0.5, 1, label_indices);
std::cerr << "All done" << std::endl;
return EXIT_SUCCESS;