def __init__(self,
graph=-1,
graph_subsampling=100,
graph_subsampling_power=0.001,
graph_subsampling_constant=10,
cover_type="functional",
filter=0,
resolution=-1,
gain=0.33,
Voronoi_subsampling=1000,
mask=0,
color=0,
verbose=False,
input="point cloud"):
if USE_GUDHI == False:
raise ImportError("Error: Gudhi not imported")
self.cc = gd.CoverComplex()
self.cc.set_type("GIC")
self.cc.set_mask(mask)
self.cc.set_verbose(verbose)
self.graph, self.graph_subsampling, self.graph_subsampling_constant, self.graph_subsampling_power = graph, graph_subsampling, graph_subsampling_constant, graph_subsampling_power
self.cover_type, self.filter, self.resolution, self.gain, self.Voronoi_subsampling = cover_type, filter, resolution, gain, Voronoi_subsampling
self.color, self.input = color, input
)
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:
