/* 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;
}