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author | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-09-09 16:03:40 +0200 |
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committer | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-09-09 16:03:40 +0200 |
commit | 68753b3c28321e28eedd5829c94234da84e25c8d (patch) | |
tree | 36003a30309b3203b41092ad4d7ee8fa78551452 /src/python/example/voronoi_graph_induced_complex.py | |
parent | dcbdaa0dc00eb069d1a13575f22c0a2f7d63dcc8 (diff) |
Code review: rename cython as python (make target and directory
Diffstat (limited to 'src/python/example/voronoi_graph_induced_complex.py')
-rwxr-xr-x | src/python/example/voronoi_graph_induced_complex.py | 65 |
1 files changed, 65 insertions, 0 deletions
diff --git a/src/python/example/voronoi_graph_induced_complex.py b/src/python/example/voronoi_graph_induced_complex.py new file mode 100755 index 00000000..38be6c92 --- /dev/null +++ b/src/python/example/voronoi_graph_induced_complex.py @@ -0,0 +1,65 @@ +#!/usr/bin/env python + +import gudhi +import argparse + +""" 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): Vincent Rouvreau + + Copyright (C) 2018 Inria + + Modification(s): + - YYYY/MM Author: Description of the modification +""" + +__author__ = "Vincent Rouvreau" +__copyright__ = "Copyright (C) 2018 Inria" +__license__ = "MIT" + +parser = argparse.ArgumentParser( + description="Voronoi GIC " "from points read in a OFF file.", + epilog="Example: " + "example/voronoi_graph_induced_complex.py " + "-f ../data/points/human.off -n 700 -v" + "- Constructs the Voronoi GIC with the " + "points from the given OFF file.", +) +parser.add_argument("-f", "--file", type=str, required=True) +parser.add_argument("-n", "--subsample-nb-points", type=int, default=100) +parser.add_argument( + "-v", + "--verbose", + default=False, + action="store_true", + help="Flag for program verbosity", +) + +args = parser.parse_args() + +nerve_complex = gudhi.CoverComplex() +nerve_complex.set_verbose(args.verbose) + +if nerve_complex.read_point_cloud(args.file): + nerve_complex.set_type("GIC") + nerve_complex.set_color_from_coordinate() + nerve_complex.set_graph_from_OFF() + nerve_complex.set_cover_from_Voronoi(args.subsample_nb_points) + nerve_complex.find_simplices() + nerve_complex.plot_off() + simplex_tree = nerve_complex.create_simplex_tree() + nerve_complex.compute_PD() + if args.verbose: + print("Iterator on graph induced complex simplices") + result_str = ( + "Graph induced complex is of dimension " + + repr(simplex_tree.dimension()) + + " - " + + repr(simplex_tree.num_simplices()) + + " simplices - " + + repr(simplex_tree.num_vertices()) + + " vertices." + ) + print(result_str) + for filtered_value in simplex_tree.get_filtration(): + print(filtered_value[0]) |