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Diffstat (limited to 'utilities/Persistence_representations/persistence_heat_maps/create_persistence_heat_maps.cpp')
-rw-r--r-- | utilities/Persistence_representations/persistence_heat_maps/create_persistence_heat_maps.cpp | 78 |
1 files changed, 78 insertions, 0 deletions
diff --git a/utilities/Persistence_representations/persistence_heat_maps/create_persistence_heat_maps.cpp b/utilities/Persistence_representations/persistence_heat_maps/create_persistence_heat_maps.cpp new file mode 100644 index 00000000..25cd1067 --- /dev/null +++ b/utilities/Persistence_representations/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -0,0 +1,78 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 INRIA (France) + * + * 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/Persistence_heat_maps.h> + +#include <iostream> +#include <sstream> +#include <limits> +#include <vector> + +using constant_scaling_function = Gudhi::Persistence_representations::constant_scaling_function; +using Persistence_heat_maps = Gudhi::Persistence_representations::Persistence_heat_maps<constant_scaling_function>; + +int main(int argc, char** argv) { + std::cout << "This program creates persistence heat map files (*.mps) of persistence diagrams files (*.pers) " + << "provided as an input.\n" + << "The first parameter of a program is an integer, a size of a grid.\n" + << "The second and third parameters are min and max of the grid. If you want those numbers to be computed " + << "based on the data, set them both to -1 \n" + << "The fourth parameter is an integer, the standard deviation of a Gaussian kernel expressed in a number " + << "of pixels.\n" + << "The fifth parameter of this program is a dimension of persistence that will be used in creation of " + << "the persistence heat maps." + << "If your input files contains persistence pairs of various dimension, as a fifth parameter of the " + << "procedure please provide the dimension of persistence you want to use." + << "If in your files there are only birth-death pairs of the same dimension, set the fifth parameter to " + << "-1.\n" + << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if (argc < 7) { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + size_t size_of_grid = (size_t)atoi(argv[1]); + double min_ = atof(argv[2]); + double max_ = atof(argv[3]); + size_t stdiv = atof(argv[4]); + + unsigned dimension = std::numeric_limits<unsigned>::max(); + int dim = atoi(argv[5]); + if (dim >= 0) { + dimension = (unsigned)dim; + } + std::vector<const char*> filenames; + for (int i = 6; i < argc; ++i) { + filenames.push_back(argv[i]); + } + + std::vector<std::vector<double> > filter = Gudhi::Persistence_representations::create_Gaussian_filter(stdiv, 1); + for (size_t i = 0; i != filenames.size(); ++i) { + std::cout << "Creating a heat map based on file : " << filenames[i] << std::endl; + Persistence_heat_maps l(filenames[i], filter, false, size_of_grid, min_, max_, dimension); + + std::stringstream ss; + ss << filenames[i] << ".mps"; + l.print_to_file(ss.str().c_str()); + } + return 0; +} |