Nerve_GIC/Nerve.cpp
/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
* See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
* Author(s): Mathieu Carrière
*
* Copyright (C) 2017 Inria
*
* Modification(s):
* - YYYY/MM Author: Description of the modification
*/
#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
// --------------------------------
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_gain(gain);
SC.write_info();
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;
}
GUDHI  Version 3.1.1  - C++ library for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.  - Copyright : MIT Generated on Fri Feb 7 2020 16:35:35 for GUDHI by Doxygen 1.8.13