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Diffstat (limited to 'src/Nerve_GIC/example/GIC.cpp')
-rw-r--r-- | src/Nerve_GIC/example/GIC.cpp | 77 |
1 files changed, 77 insertions, 0 deletions
diff --git a/src/Nerve_GIC/example/GIC.cpp b/src/Nerve_GIC/example/GIC.cpp new file mode 100644 index 00000000..5161a46b --- /dev/null +++ b/src/Nerve_GIC/example/GIC.cpp @@ -0,0 +1,77 @@ +#include <gudhi/GIC.h> + +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\n"; + std::cerr << " i.e.: " << progName << " ../../data/points/test.off 1.5 1 10 0.3 \n"; + exit(-1); // ----- >> +} + +int main(int argc, char **argv) { + if ((argc != 6) && (argc != 7)) usage(argc, (argv[0] - 1)); + + std::string off_file_name(argv[1]); + double threshold = atof(argv[2]); + //std::string func_file_name = argv[3]; + int coord = atoi(argv[3]); + double resolution = atof(argv[4]); + double gain = atof(argv[5]); + bool verb = 0; if(argc == 7) verb = 1; + + // Type definitions + using Graph_t = boost::adjacency_list < boost::vecS, boost::vecS, boost::undirectedS,\ + boost::property < vertex_filtration_t, Filtration_value >,\ + boost::property < edge_filtration_t, Filtration_value > >; + + // ---------------------------------------------------------------------------- + // Init of a graph induced complex from an OFF file + // ---------------------------------------------------------------------------- + + Gudhi::graph_induced_complex::Graph_induced_complex GIC; + GIC.set_verbose(verb); + + GIC.set_graph_from_automatic_rips(off_file_name); + //GIC.set_graph_from_rips(threshold, off_file_name); + //GIC.set_graph_from_OFF(off_file_name); + + GIC.set_function_from_coordinate(coord, off_file_name); + //GIC.set_function_from_file(func_file_name); + + GIC.set_color_from_coordinate(coord, off_file_name); + //GIC.set_color_from_file(func_file_name); + + GIC.set_automatic_resolution_for_GICMAP(); + GIC.set_gain(); + GIC.set_cover_from_function(1); + + //GIC.find_GIC_simplices(); + //GIC.find_Nerve_simplices(); + GIC.find_GICMAP_simplices_with_functional_minimal_cover(); + + GIC.plot_with_KeplerMapper(); + + Simplex_tree stree; GIC.create_complex(stree); + + std::streambuf* streambufffer = std::cout.rdbuf(); + std::ostream output_stream(streambufffer); + + // ---------------------------------------------------------------------------- + // Display information about the graph induced complex + // ---------------------------------------------------------------------------- + + if(verb){ + output_stream << "Graph induced complex is of dimension " << stree.dimension() << + " - " << stree.num_simplices() << " simplices - " << + stree.num_vertices() << " vertices." << std::endl; + + output_stream << "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)) { + output_stream << vertex << " "; + } + output_stream << std::endl; + } + } + + return 0; +} |