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#!/usr/bin/env python
"""Takes a point cloud containing only the red segments of scale sticks and
returns the scale estimation and a confidence indication.
Usage: stickscaler.py [-e <eps>] [-s <minsamples>] <infile>
Options:
-e <eps>, --eps <eps> The maximum distance between two samples for them
to be considered as in the same neighborhood
[default: 0.1].
-s <minsamples>, --minSamples <minsamples>
The number of samples in a neighborhood for a point to
be considered a core point [default: 20].
"""
from __future__ import print_function
from docopt import docopt
from patty.utils import load
from patty.registration.stickscale import get_stick_scale
# Takes a point cloud containing only the red segments of scale sticks and
# returns the scale estimation and a confidence indication.
if __name__ == '__main__':
args = docopt(__doc__)
args
(([A-Z_][A-Z0-9_]*)|(__.*__))$
This check looks for invalid names for a range of different identifiers.
You can set regular expressions to which the identifiers must conform if the defaults do not match your requirements.
If your project includes a Pylint configuration file, the settings contained in that file take precedence.
To find out more about Pylint, please refer to their site.
pc = load(args['<infile>'])
pc
print(get_stick_scale(pc, float(args['--eps']), int(args['--minSamples'])))
NLeSC /
PattyAnalytics
Joris Borgdorff
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This check looks for invalid names for a range of different identifiers.
You can set regular expressions to which the identifiers must conform if the defaults do not match your requirements.
If your project includes a Pylint configuration file, the settings contained in that file take precedence.
To find out more about Pylint, please refer to their site.