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- #!/usr/bin/python
- from cPickle import load
- from sys import argv, exit
- from time import time
- from Classifier import Classifier
- if len(argv) < 4:
- print 'Usage: python %s NEIGHBOURS BLUR_SCALE COUNT' % argv[0]
- exit(1)
- neighbours = int(argv[1])
- blur_scale = float(argv[2])
- count = int(argv[3])
- suffix = '_%s_%s' % (blur_scale, neighbours)
- chars_file = 'characters%s.dat' % suffix
- classifier_file = 'classifier%s.dat' % suffix
- print 'Loading characters...'
- chars = load(open(chars_file, 'r'))[:count]
- count = len(chars)
- print 'Read %d characters' % count
- print 'Loading classifier...'
- classifier = Classifier(filename=classifier_file)
- start = time()
- for char in chars:
- classifier.classify(char)
- elapsed = time() - start
- individual = elapsed / count
- print 'Took %fs to classify %d caracters (%fms per character)' \
- % (elapsed, count, individual * 1000)
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