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dimension_cluster.py
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dimension_cluster.py
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"""
Copyright (C) 2017, 申瑞珉 (Ruimin Shen)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import os
import argparse
import configparser
import logging
import logging.config
import yaml
import numpy as np
import nltk.cluster.kmeans
import utils.data
import utils.iou.numpy
def distance(a, b):
return 1 - utils.iou.numpy.iou(-a, a, -b, b)
def get_data(paths):
dataset = utils.data.Dataset(utils.data.load_pickles(paths))
return np.concatenate([(data['yx_max'] - data['yx_min']) / utils.image_size(data['path']) for data in dataset.dataset])
def main():
args = make_args()
config = configparser.ConfigParser()
utils.load_config(config, args.config)
with open(os.path.expanduser(os.path.expandvars(args.logging)), 'r') as f:
logging.config.dictConfig(yaml.load(f))
cache_dir = utils.get_cache_dir(config)
paths = [os.path.join(cache_dir, phase + '.pkl') for phase in args.phase]
data = get_data(paths)
logging.info('num_examples=%d' % len(data))
clusterer = nltk.cluster.kmeans.KMeansClusterer(args.num, distance, args.repeats)
try:
clusterer.cluster(data)
except KeyboardInterrupt:
logging.warning('interrupted')
for m in clusterer.means():
print('\t'.join(map(str, m)))
def make_args():
parser = argparse.ArgumentParser()
parser.add_argument('num', type=int)
parser.add_argument('-r', '--repeats', type=int, default=np.iinfo(np.int).max)
parser.add_argument('-c', '--config', nargs='+', default=['config.ini'], help='config file')
parser.add_argument('-p', '--phase', nargs='+', default=['train', 'val', 'test'])
parser.add_argument('--logging', default='logging.yml', help='logging config')
return parser.parse_args()
if __name__ == '__main__':
main()