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Diffstat (limited to 'src/Nerve_GIC/example/Nerve.cpp')
-rw-r--r-- | src/Nerve_GIC/example/Nerve.cpp | 96 |
1 files changed, 0 insertions, 96 deletions
diff --git a/src/Nerve_GIC/example/Nerve.cpp b/src/Nerve_GIC/example/Nerve.cpp deleted file mode 100644 index 6abdedc7..00000000 --- a/src/Nerve_GIC/example/Nerve.cpp +++ /dev/null @@ -1,96 +0,0 @@ -/* This file is part of the Gudhi Library. The Gudhi library - * (Geometric Understanding in Higher Dimensions) is a generic C++ - * library for computational topology. - * - * Author(s): Mathieu Carrière - * - * Copyright (C) 2017 INRIA - * - * This program is free software: you can redistribute it and/or modify - * it under the terms of the GNU General Public License as published by - * the Free Software Foundation, either version 3 of the License, or - * (at your option) any later version. - * - * This program is distributed in the hope that it will be useful, - * but WITHOUT ANY WARRANTY; without even the implied warranty of - * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the - * GNU General Public License for more details. - * - * You should have received a copy of the GNU General Public License - * along with this program. If not, see <http://www.gnu.org/licenses/>. - */ - -#include <gudhi/GIC.h> - -#include <string> -#include <vector> - -void usage(int nbArgs, char *const progName) { - std::cerr << "Error: Number of arguments (" << nbArgs << ") is not correct\n"; - std::cerr << "Usage: " << progName << " filename.off coordinate resolution gain [--v] \n"; - std::cerr << " i.e.: " << progName << " ../../data/points/human.off 2 10 0.3 --v \n"; - exit(-1); // ----- >> -} - -int main(int argc, char **argv) { - if ((argc != 5) && (argc != 6)) usage(argc, argv[0]); - - using Point = std::vector<float>; - - std::string off_file_name(argv[1]); - int coord = atoi(argv[2]); - int resolution = atoi(argv[3]); - double gain = atof(argv[4]); - bool verb = 0; - if (argc == 6) verb = 1; - - // -------------------------------- - // Init of a Nerve from an OFF file - // -------------------------------- - - Gudhi::cover_complex::Cover_complex<Point> SC; - SC.set_verbose(verb); - - bool check = SC.read_point_cloud(off_file_name); - - if (!check) { - std::cout << "Incorrect OFF file." << std::endl; - } else { - SC.set_type("Nerve"); - - SC.set_color_from_coordinate(coord); - SC.set_function_from_coordinate(coord); - - SC.set_graph_from_OFF(); - SC.set_resolution_with_interval_number(resolution); - SC.set_gain(gain); - SC.set_cover_from_function(); - - SC.find_simplices(); - - SC.write_info(); - - Gudhi::Simplex_tree<> stree; - SC.create_complex(stree); - SC.compute_PD(); - - // ---------------------------------------------------------------------------- - // Display information about the graph induced complex - // ---------------------------------------------------------------------------- - - if (verb) { - std::cout << "Nerve is of dimension " << stree.dimension() << " - " << stree.num_simplices() << " simplices - " - << stree.num_vertices() << " vertices." << std::endl; - - std::cout << "Iterator on Nerve simplices" << std::endl; - for (auto f_simplex : stree.filtration_simplex_range()) { - for (auto vertex : stree.simplex_vertex_range(f_simplex)) { - std::cout << vertex << " "; - } - std::cout << std::endl; - } - } - } - - return 0; -} |