1 files changed, 83 insertions, 0 deletions
diff --git a/utilities/Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_squared_diag_distance.cpp b/utilities/Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_squared_diag_distance.cpp
new file mode 100644
index 00000000..59ff3c24
--- /dev/null
+++ b/utilities/Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_squared_diag_distance.cpp
@@ -0,0 +1,83 @@
+/*    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 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;
+}