/* 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 . */ #include #include #include void usage(int nbArgs, char *const progName) { std::cerr << "Error: Number of arguments (" << nbArgs << ") is not correct\n"; std::cerr << "Usage: " << progName << " filename.off threshold coordinate resolution gain [--v] \n"; std::cerr << " i.e.: " << progName << " ../../data/points/human.off 0.075 2 0.075 0 --v \n"; exit(-1); // ----- >> } int main(int argc, char **argv) { if ((argc != 6) && (argc != 7)) usage(argc, argv[0]); using Point = std::vector; std::string off_file_name(argv[1]); double threshold = atof(argv[2]); int coord = atoi(argv[3]); double resolution = atof(argv[4]); double gain = atof(argv[5]); bool verb = 0; if (argc == 7) verb = 1; // ---------------------------------------------------------------------------- // Init of a graph induced complex from an OFF file // ---------------------------------------------------------------------------- Gudhi::graph_induced_complex::Graph_induced_complex GIC; GIC.set_verbose(verb); bool check = GIC.read_point_cloud(off_file_name); if (!check) { std::cout << "Incorrect OFF file." << std::endl; } else { GIC.set_color_from_coordinate(coord); GIC.set_function_from_coordinate(coord); GIC.set_graph_from_rips(threshold, Gudhi::Euclidean_distance()); GIC.set_resolution_with_interval_length(resolution); GIC.set_gain(gain); GIC.set_cover_from_function(); GIC.find_GIC_simplices(); GIC.plot_TXT_for_KeplerMapper(); Gudhi::Simplex_tree<> stree; GIC.create_complex(stree); // ---------------------------------------------------------------------------- // Display information about the graph induced complex // ---------------------------------------------------------------------------- if (verb) { std::cout << "Graph induced complex is of dimension " << stree.dimension() << " - " << stree.num_simplices() << " simplices - " << stree.num_vertices() << " vertices." << std::endl; std::cout << "Iterator on graph induced complex 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; }