mirror of https://github.com/CGAL/cgal
cleanup examples
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@ -16,7 +16,7 @@ typedef Mesh_approximation::Error_metric L21_metric;
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int main()
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{
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// read input surface triangle mesh
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// reads input surface triangle mesh
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Polyhedron input;
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std::ifstream file("data/mask.off");
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if (!file || !(file >> input) || input.empty()) {
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@ -24,34 +24,36 @@ int main()
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return EXIT_FAILURE;
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}
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// create VSA algorithm instance
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// creates VSA algorithm instance
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Mesh_approximation approx(input,
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get(boost::vertex_point, const_cast<Polyhedron &>(input)));
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// set error and fitting functors
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// sets error and fitting functors
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L21_metric metric(input,
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get(boost::vertex_point, const_cast<Polyhedron &>(input)));
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approx.set_metric(metric);
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// seeding 100 random proxies
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// seeds 100 random proxies
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approx.seeding(CGAL::Random, 100);
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// run 30 iterations
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// runs 30 iterations
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approx.run(30);
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// add 3 proxies to the one with the maximum fitting error
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// run 5 iterations between each addition
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// adds 3 proxies to the one with the maximum fitting error,
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// running 5 iterations between each addition
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approx.add_to_furthest_proxies(3, 5);
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// run 10 iterations
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// runs 10 iterations
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approx.run(10);
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// teleport 2 proxies to tunnel out of local minima
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// run 5 iterations between each teleport
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// teleports 2 proxies to tunnel out of local minima,
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// running 5 iterations between each teleport
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approx.teleport_proxies(2, 5);
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// runs 10 iterations
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approx.run(10);
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// meshing with default parameters
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// generates output mesh with default parameters
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approx.extract_mesh();
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return EXIT_SUCCESS;
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@ -62,7 +62,7 @@ typedef CGAL::VSA_approximation<
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int main()
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{
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// create polyhedral surface and read input mesh
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// creates polyhedral surface and reads input mesh
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Polyhedron input;
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std::ifstream file("data/bear.off");
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if (!file || !(file >> input) || input.empty()) {
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@ -70,7 +70,7 @@ int main()
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return EXIT_FAILURE;
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}
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// construct precomputed facet normal and area map
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// constructs precomputed facet normal and area map
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std::map<Facet_handle, FT> facet_areas;
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std::map<Facet_handle, Point> facet_centers;
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for(Facet_iterator fitr = input.facets_begin(); fitr != input.facets_end(); ++fitr) {
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@ -86,15 +86,15 @@ int main()
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Facet_area_map area_pmap(facet_areas);
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Facet_center_map center_pmap(facet_centers);
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// create compact metric approximation algorithm instance
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// creates compact metric approximation algorithm instance
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Approximation approx(input,
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get(boost::vertex_point, const_cast<Polyhedron &>(input)));
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// construct and set metric
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// constructs and set metric
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Compact_metric metric(center_pmap, area_pmap);
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approx.set_metric(metric);
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// approximation via 200 proxies and 30 iterations
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// approximates via 200 proxies and 30 iterations
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approx.seeding(CGAL::Hierarchical, 200);
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approx.run(30);
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@ -13,7 +13,7 @@ typedef boost::associative_property_map<Facet_index_map> Facet_proxy_pmap;
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int main()
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{
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// create polyhedral surface and read input surface triangle mesh
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// creates polyhedral surface and reads input mesh
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Polyhedron input;
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std::ifstream file("data/mask.off");
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if (!file || !(file >> input) || input.empty()) {
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@ -36,7 +36,7 @@ int main()
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nb_of_iterations(30). // number of iterations after seeding
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facet_proxy_map(fpxmap)); // output facet proxy-id map
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// TODO: retrieve segments of the segmentation
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// TODO: iterates over segments and outputs to console
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return EXIT_SUCCESS;
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}
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