1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
|
#!/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='Nerve of a covering creation '
'from points read in a OFF file.',
epilog='Example: '
'example/nerve_of_a_covering.py '
'-f ../data/points/human.off -c 2 -r 10 -g 0.3'
'- Constructs Nerve of a covering with the '
'points from the given OFF file.')
parser.add_argument("-f", "--file", type=str, required=True)
parser.add_argument("-c", "--coordinate", type=int, default=0)
parser.add_argument("-r", "--resolution", type=int, default=10)
parser.add_argument("-g", "--gain", type=float, default=0.3)
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('Nerve')
nerve_complex.set_color_from_coordinate(args.coordinate)
nerve_complex.set_function_from_coordinate(args.coordinate)
nerve_complex.set_graph_from_OFF()
nerve_complex.set_resolution_with_interval_number(args.resolution)
nerve_complex.set_gain(args.gain)
nerve_complex.set_cover_from_function()
nerve_complex.find_simplices()
nerve_complex.write_info()
simplex_tree = nerve_complex.create_simplex_tree()
nerve_complex.compute_PD()
if (args.verbose):
print('Iterator on graph induced complex simplices')
result_str = 'Nerve 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])
|
