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import numpy as np
import getopt
import sys
from glob import glob
import constants as c
from utils import process_clip
def process_training_data(num_clips):
"""
Processes random training clips from the full training data. Saves to TRAIN_DIR_CLIPS by
default.
@param num_clips: The number of clips to process. Default = 5000000 (set in __main__).
@warning: This can take a couple of hours to complete with large numbers of clips.
"""
num_prev_clips = len(glob(c.TRAIN_DIR_CLIPS + '*'))
for clip_num in xrange(num_prev_clips, num_clips + num_prev_clips):
clip = process_clip()
np.savez_compressed(c.TRAIN_DIR_CLIPS + str(clip_num), clip)
if (clip_num + 1) % 100 == 0: print 'Processed %d clips' % (clip_num + 1)
def usage():
print 'Options:'
print '-n/--num_clips= <# clips to process for training>'
print '-t/--train_dir= <Directory of full training frames>'
print '-c/--clips_dir= <Save directory for processed clips>'
print " (I suggest making this a hidden dir so the filesystem doesn't freeze"
print " with so many files. DON'T `ls` THIS DIRECTORY!)"
print '-o/--overwrite (Overwrites the previous data in the training dir)'
def main():
##
# Handle command line input
##
num_clips = 5000000
try:
opts, _ = getopt.getopt(sys.argv[1:], 'n:t:c:o',
['num_clips=', 'train_dir=', 'clips_dir=', 'overwrite'])
except getopt.GetoptError:
usage()
sys.exit(2)
for opt, arg in opts:
if opt in ('-n', '--num_clips'):
num_clips = int(arg)
if opt in ('-t', '--train_dir'):
c.TRAIN_DIR = c.get_dir(arg)
if opt in ('-c', '--clips_dir'):
c.TRAIN_DIR_CLIPS = c.get_dir(arg)
if opt in ('-o', '--overwrite'):
c.clear_dir(c.TRAIN_DIR_CLIPS)
##
# Process data for training
##
process_training_data(num_clips)
if __name__ == '__main__':
main()
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