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-rw-r--r--utilities/Persistence_representations/persistence_landscapes_on_grid/CMakeLists.txt11
-rw-r--r--utilities/Persistence_representations/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp63
-rw-r--r--utilities/Persistence_representations/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp93
-rw-r--r--utilities/Persistence_representations/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp85
-rw-r--r--utilities/Persistence_representations/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp79
-rw-r--r--utilities/Persistence_representations/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp44
6 files changed, 375 insertions, 0 deletions
diff --git a/utilities/Persistence_representations/persistence_landscapes_on_grid/CMakeLists.txt b/utilities/Persistence_representations/persistence_landscapes_on_grid/CMakeLists.txt
new file mode 100644
index 00000000..c5ea4bbf
--- /dev/null
+++ b/utilities/Persistence_representations/persistence_landscapes_on_grid/CMakeLists.txt
@@ -0,0 +1,11 @@
+cmake_minimum_required(VERSION 2.6)
+project(Persistence_representations_lanscapes_on_grid_utilities)
+
+# Need to set grid min and max for further average, distance and scalar_product
+add_persistence_representation_creation_utility(create_landscapes_on_grid "100" "0" "35" "-1")
+
+add_persistence_representation_plot_utility(plot_landscapes_on_grid ".g_land")
+
+add_persistence_representation_function_utility(average_landscapes_on_grid ".g_land")
+add_persistence_representation_function_utility(compute_distance_of_landscapes_on_grid ".g_land" "1")
+add_persistence_representation_function_utility(compute_scalar_product_of_landscapes_on_grid ".g_land")
diff --git a/utilities/Persistence_representations/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp b/utilities/Persistence_representations/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp
new file mode 100644
index 00000000..0b098d1a
--- /dev/null
+++ b/utilities/Persistence_representations/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp
@@ -0,0 +1,63 @@
+/* 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_landscape_on_grid.h>
+
+#include <iostream>
+#include <vector>
+
+using Persistence_landscape_on_grid = Gudhi::Persistence_representations::Persistence_landscape_on_grid;
+
+int main(int argc, char** argv) {
+ std::cout << "This program computes average of persistence landscapes on grid stored in files (the files needs to "
+ << "be created beforehand).\n"
+ << "The parameters of this programs are names of files with persistence landscapes on grid.\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_landscape_on_grid*> lands;
+ for (size_t i = 0; i != filenames.size(); ++i) {
+ Persistence_landscape_on_grid* l = new Persistence_landscape_on_grid;
+ l->load_landscape_from_file(filenames[i]);
+ lands.push_back(l);
+ }
+
+ Persistence_landscape_on_grid av;
+ av.compute_average(lands);
+
+ av.print_to_file("average.g_land");
+
+ for (size_t i = 0; i != filenames.size(); ++i) {
+ delete lands[i];
+ }
+
+ std::cout << "Average can be found in 'average.g_land' file\n";
+ return 0;
+}
diff --git a/utilities/Persistence_representations/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/utilities/Persistence_representations/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp
new file mode 100644
index 00000000..fd0fcd15
--- /dev/null
+++ b/utilities/Persistence_representations/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp
@@ -0,0 +1,93 @@
+/* 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_landscape_on_grid.h>
+
+#include <iostream>
+#include <sstream>
+#include <limits>
+#include <vector>
+
+using Persistence_landscape_on_grid = Gudhi::Persistence_representations::Persistence_landscape_on_grid;
+
+int main(int argc, char** argv) {
+ std::cout << "This program computes distance of persistence landscapes on grid 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 landscapes on grid.\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_landscape_on_grid> landscaspes;
+ landscaspes.reserve(filenames.size());
+ for (size_t file_no = 0; file_no != filenames.size(); ++file_no) {
+ Persistence_landscape_on_grid l;
+ l.load_landscape_from_file(filenames[file_no]);
+ landscaspes.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 scalar product:
+ for (size_t i = 0; i != landscaspes.size(); ++i) {
+ for (size_t j = i; j != landscaspes.size(); ++j) {
+ distance[i][j] = distance[j][i] = compute_distance_of_landscapes_on_grid(landscaspes[i], landscaspes[j], p);
+ }
+ }
+
+ // and now output the result to the screen and a file:
+ std::ofstream out;
+ out.open("distance.g_land");
+ 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.g_land' file\n";
+ return 0;
+}
diff --git a/utilities/Persistence_representations/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/utilities/Persistence_representations/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp
new file mode 100644
index 00000000..01de3dee
--- /dev/null
+++ b/utilities/Persistence_representations/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp
@@ -0,0 +1,85 @@
+/* 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_landscape_on_grid.h>
+
+#include <iostream>
+#include <sstream>
+#include <vector>
+
+using Persistence_landscape_on_grid = Gudhi::Persistence_representations::Persistence_landscape_on_grid;
+
+int main(int argc, char** argv) {
+ std::cout
+ << "This program computes scalar product of persistence landscapes on grid stored in a file (the file needs to "
+ << "be created beforehand). \n"
+ << "The parameters of this programs are names of files with persistence landscapes on grid.\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_landscape_on_grid> landscaspes;
+ landscaspes.reserve(filenames.size());
+ for (size_t file_no = 0; file_no != filenames.size(); ++file_no) {
+ Persistence_landscape_on_grid l;
+ l.load_landscape_from_file(filenames[file_no]);
+ landscaspes.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 != landscaspes.size(); ++i) {
+ for (size_t j = i; j != landscaspes.size(); ++j) {
+ scalar_product[i][j] = scalar_product[j][i] = compute_inner_product(landscaspes[i], landscaspes[j]);
+ }
+ }
+
+ // and now output the result to the screen and a file:
+ std::ofstream out;
+ out.open("scalar_product.g_land");
+ 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.g_land' file\n";
+ return 0;
+}
diff --git a/utilities/Persistence_representations/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp b/utilities/Persistence_representations/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp
new file mode 100644
index 00000000..78e8ef57
--- /dev/null
+++ b/utilities/Persistence_representations/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp
@@ -0,0 +1,79 @@
+/* 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_landscape_on_grid.h>
+
+#include <iostream>
+#include <sstream>
+#include <limits>
+#include <vector>
+
+using Persistence_landscape_on_grid = Gudhi::Persistence_representations::Persistence_landscape_on_grid;
+
+int main(int argc, char** argv) {
+ std::cout << "This program creates persistence landscapes on grid files (*.g_land) 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 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 fourth 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 fourth parameter to "
+ << "-1.\n"
+ << "The remaining parameters are the names of files with persistence diagrams. \n";
+
+ if (argc < 6) {
+ 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]);
+ int dim = atoi(argv[4]);
+ unsigned dimension = std::numeric_limits<unsigned>::max();
+ if (dim >= 0) {
+ dimension = (unsigned)dim;
+ }
+
+ std::vector<const char*> filenames;
+ for (int i = 5; i < argc; ++i) {
+ filenames.push_back(argv[i]);
+ }
+
+ for (size_t i = 0; i != filenames.size(); ++i) {
+ std::cout << "Creating persistence landscape on a grid based on a file : " << filenames[i] << std::endl;
+ Persistence_landscape_on_grid l;
+ if ((min_ != -1) || (max_ != -1)) {
+ l = Persistence_landscape_on_grid(filenames[i], min_, max_, size_of_grid, dimension);
+ } else {
+ // (min_ == -1) && (max_ == -1), in this case the program will find min_ and max_ based on the data.
+ l = Persistence_landscape_on_grid(filenames[i], size_of_grid, dimension);
+ }
+ std::stringstream ss;
+ ss << filenames[i] << ".g_land";
+ l.print_to_file(ss.str().c_str());
+ }
+ return 0;
+}
diff --git a/utilities/Persistence_representations/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp b/utilities/Persistence_representations/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp
new file mode 100644
index 00000000..dddb3615
--- /dev/null
+++ b/utilities/Persistence_representations/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp
@@ -0,0 +1,44 @@
+/* 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_landscape_on_grid.h>
+
+#include <iostream>
+#include <sstream>
+
+using Persistence_landscape_on_grid = Gudhi::Persistence_representations::Persistence_landscape_on_grid;
+
+int main(int argc, char** argv) {
+ std::cout << "This program creates a gnuplot script from a persistence landscape on grid stored in a file (the file "
+ << "needs to be created beforehand). Please call the code with the name of a single landscape on grid file"
+ << ".\n";
+ if (argc != 2) {
+ std::cout << "Wrong parameter list, the program will now terminate \n";
+ return 1;
+ }
+
+ Persistence_landscape_on_grid l;
+ l.load_landscape_from_file(argv[1]);
+ l.plot(argv[1]);
+
+ return 0;
+}