diff options
Diffstat (limited to 'src/Persistence_representations/utilities/persistence_heat_maps')
10 files changed, 592 insertions, 0 deletions
diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/CMakeLists.txt b/src/Persistence_representations/utilities/persistence_heat_maps/CMakeLists.txt new file mode 100644 index 00000000..89ef232f --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/CMakeLists.txt @@ -0,0 +1,14 @@ +project(Persistence_representations_heat_maps_utilities) + +add_persistence_representation_creation_utility(create_pssk "10" "-1" "-1" "4" "-1") +add_persistence_representation_creation_utility(create_p_h_m_weighted_by_arctan_of_their_persistence "10" "-1" "-1" "4" "-1") +add_persistence_representation_creation_utility(create_p_h_m_weighted_by_distance_from_diagonal "10" "-1" "-1" "4" "-1") +add_persistence_representation_creation_utility(create_p_h_m_weighted_by_squared_diag_distance "10" "-1" "-1" "4" "-1") +# Need to set grid min and max for further average, distance and scalar_product +add_persistence_representation_creation_utility(create_persistence_heat_maps "10" "0" "35" "10" "-1") + +add_persistence_representation_plot_utility(plot_persistence_heat_map ".mps") + +add_persistence_representation_function_utility(average_persistence_heat_maps ".mps") +add_persistence_representation_function_utility(compute_distance_of_persistence_heat_maps ".mps" "1") +add_persistence_representation_function_utility(compute_scalar_product_of_persistence_heat_maps ".mps") diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp new file mode 100644 index 00000000..3d088b58 --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp @@ -0,0 +1,51 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#include <gudhi/Persistence_heat_maps.h> + +#include <iostream> +#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 computes average of persistence heat maps stored in files (the files needs to be " + << "created beforehand).\n" + << "The parameters of this programs are names of files with persistence heat maps.\n"; + + if (argc < 3) { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + std::vector<const char*> filenames; + for (int i = 1; i < argc; ++i) { + filenames.push_back(argv[i]); + } + + std::vector<Persistence_heat_maps*> maps; + for (size_t i = 0; i != filenames.size(); ++i) { + Persistence_heat_maps* l = new Persistence_heat_maps; + l->load_from_file(filenames[i]); + maps.push_back(l); + } + + Persistence_heat_maps av; + av.compute_average(maps); + av.print_to_file("average.mps"); + + for (size_t i = 0; i != filenames.size(); ++i) { + delete maps[i]; + } + + std::cout << "Average can be found in 'average.mps' file\n"; + return 0; +} diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp new file mode 100644 index 00000000..48000bb1 --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -0,0 +1,82 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#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 computes distance of persistence heat maps stored in files (the files needs to be " + << "created beforehand).\n" + << "The first parameter of a program is an integer p. The program compute L^p distance of the two heat " + << "maps. For L^infty distance choose p = -1. \n" + << "The remaining parameters of this program are names of files with persistence heat maps.\n"; + + if (argc < 3) { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int pp = atoi(argv[1]); + double p = std::numeric_limits<double>::max(); + if (pp != -1) { + p = pp; + } + + std::vector<const char*> filenames; + for (int i = 2; i < argc; ++i) { + filenames.push_back(argv[i]); + } + std::vector<Persistence_heat_maps> maps; + maps.reserve(filenames.size()); + for (size_t file_no = 0; file_no != filenames.size(); ++file_no) { + Persistence_heat_maps l; + l.load_from_file(filenames[file_no]); + maps.push_back(l); + } + + // and now we will compute the scalar product of landscapes. + + // first we prepare an array: + std::vector<std::vector<double> > distance(filenames.size()); + for (size_t i = 0; i != filenames.size(); ++i) { + std::vector<double> v(filenames.size(), 0); + distance[i] = v; + } + + // and now we can compute the distances: + for (size_t i = 0; i != filenames.size(); ++i) { + for (size_t j = i; j != filenames.size(); ++j) { + distance[i][j] = distance[j][i] = maps[i].distance(maps[j], p); + } + } + + // and now output the result to the screen and a file: + std::ofstream out; + out.open("distance.mps"); + for (size_t i = 0; i != distance.size(); ++i) { + for (size_t j = 0; j != distance.size(); ++j) { + std::cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + std::cout << std::endl; + out << std::endl; + } + out.close(); + + std::cout << "Distance can be found in 'distance.mps' file\n"; + return 0; +} diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp new file mode 100644 index 00000000..8a96f1b0 --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -0,0 +1,73 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#include <gudhi/Persistence_heat_maps.h> + +#include <iostream> +#include <sstream> +#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 computes scalar product of persistence heat maps stored in a file (the file needs to be " + << "created beforehand). \n" + << "The parameters of this programs are names of files with persistence heat maps.\n"; + + if (argc < 3) { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + std::vector<const char*> filenames; + for (int i = 1; i < argc; ++i) { + filenames.push_back(argv[i]); + } + std::vector<Persistence_heat_maps> maps; + maps.reserve(filenames.size()); + for (size_t file_no = 0; file_no != filenames.size(); ++file_no) { + Persistence_heat_maps l; + l.load_from_file(filenames[file_no]); + maps.push_back(l); + } + + // and now we will compute the scalar product of landscapes. + + // first we prepare an array: + std::vector<std::vector<double> > scalar_product(filenames.size()); + for (size_t i = 0; i != filenames.size(); ++i) { + std::vector<double> v(filenames.size(), 0); + scalar_product[i] = v; + } + + // and now we can compute the scalar product: + for (size_t i = 0; i != maps.size(); ++i) { + for (size_t j = i; j != maps.size(); ++j) { + scalar_product[i][j] = scalar_product[j][i] = maps[i].compute_scalar_product(maps[j]); + } + } + + // and now output the result to the screen and a file: + std::ofstream out; + out.open("scalar_product.mps"); + for (size_t i = 0; i != scalar_product.size(); ++i) { + for (size_t j = 0; j != scalar_product.size(); ++j) { + std::cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + std::cout << std::endl; + out << std::endl; + } + out.close(); + + std::cout << "Distance can be found in 'scalar_product.mps' file\n"; + return 0; +} diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_arctan_of_their_persistence.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_arctan_of_their_persistence.cpp new file mode 100644 index 00000000..f82a39b0 --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_arctan_of_their_persistence.cpp @@ -0,0 +1,69 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#include <gudhi/Persistence_heat_maps.h> + +#include <iostream> +#include <sstream> +#include <limits> +#include <vector> + +using arc_tan_of_persistence_of_point = Gudhi::Persistence_representations::arc_tan_of_persistence_of_point; +using Persistence_heat_maps = + Gudhi::Persistence_representations::Persistence_heat_maps<arc_tan_of_persistence_of_point>; + +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.The Gaussian kernels are weighted by the arc tangential of their persistence.\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 a 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; +} diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_distance_from_diagonal.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_distance_from_diagonal.cpp new file mode 100644 index 00000000..5a657b13 --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_distance_from_diagonal.cpp @@ -0,0 +1,69 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#include <gudhi/Persistence_heat_maps.h> + +#include <iostream> +#include <sstream> +#include <limits> +#include <vector> + +using distance_from_diagonal_scaling = Gudhi::Persistence_representations::distance_from_diagonal_scaling; +using Persistence_heat_maps = Gudhi::Persistence_representations::Persistence_heat_maps<distance_from_diagonal_scaling>; + +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.The Gaussian kernels are weighted by the distance of a center from the " + << "diagonal.\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 a 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; +} diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_squared_diag_distance.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_squared_diag_distance.cpp new file mode 100644 index 00000000..8d67a54d --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/create_p_h_m_weighted_by_squared_diag_distance.cpp @@ -0,0 +1,71 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#include <gudhi/Persistence_heat_maps.h> + +#include <iostream> +#include <sstream> +#include <limits> +#include <vector> + +using squared_distance_from_diagonal_scaling = + Gudhi::Persistence_representations::squared_distance_from_diagonal_scaling; +using Persistence_heat_maps = + Gudhi::Persistence_representations::Persistence_heat_maps<squared_distance_from_diagonal_scaling>; + +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.The Gaussian kernels are weighted by the square of distance of a center from the " + << "diagonal.\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 a 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; +} diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp new file mode 100644 index 00000000..29170c32 --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -0,0 +1,66 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#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; +} diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/create_pssk.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/create_pssk.cpp new file mode 100644 index 00000000..995771b9 --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/create_pssk.cpp @@ -0,0 +1,67 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#include <gudhi/PSSK.h> + +#include <iostream> +#include <sstream> +#include <limits> +#include <vector> + +using PSSK = Gudhi::Persistence_representations::PSSK; + +int main(int argc, char** argv) { + std::cout << "This program creates PSSK files (*.pssk) 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 PSSK." + << "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 first 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 PSSK based on a file : " << filenames[i] << std::endl; + PSSK l(filenames[i], filter, size_of_grid, min_, max_, dimension); + + std::stringstream ss; + ss << filenames[i] << ".pssk"; + l.print_to_file(ss.str().c_str()); + } + return 0; +} diff --git a/src/Persistence_representations/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Persistence_representations/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp new file mode 100644 index 00000000..cf6e07cb --- /dev/null +++ b/src/Persistence_representations/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp @@ -0,0 +1,30 @@ +/* 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): Pawel Dlotko + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +#include <gudhi/Persistence_heat_maps.h> + +#include <iostream> +#include <sstream> + +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 a gnuplot script from a persistence heat maps stored in a file (the file needs " + << "to be created beforehand). Please call the code with the name of a single heat maps file \n"; + if (argc != 2) { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + Persistence_heat_maps l; + l.load_from_file(argv[1]); + l.plot(argv[1]); + return 0; +} |