/
cli.py
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/
cli.py
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# The MIT License (MIT)
#
# Copyright (c) 2016 Olya Matveeva <olya11vladimirovna@gmail.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import argparse
from logging import DEBUG
import os
import sys
import errors
from logger import logger
def parse_cli():
parser = argparse.ArgumentParser(
description="Detector types of plans by photos of their trees."
)
parser.add_argument('leaf_image', type=str, nargs='+',
help="Path to leaf image to recognize")
parser.add_argument("-t", "--training", required=True,
help="Path to the directory with training images.")
parser.add_argument('-T', '--thresholding', default=False,
action='store_true', help='Enable images thresholding')
parser.add_argument('-r', '--resize', default=False, action='store_true',
help='Enable images resizing')
parser.add_argument('-v', '--verbose', default=False, action='store_true',
help='Enable debug logging')
args = parser.parse_args()
if args.verbose:
logger.setLevel(DEBUG)
if not all(os.path.isfile(leaf) for leaf in args.leaf_image):
raise errors.LeadDetectionError('Not found images: {0}!'.format(
args.leaf_image))
if not os.path.isdir(args.training):
raise errors.LeadDetectionError('Directory {0} doesn\'t exist!'.format(
args.training))
return args.leaf_image, args.training, args.thresholding, args.resize