Implement processing of images on multiple threads at once
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commit
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37
imgrate.py
37
imgrate.py
@ -51,9 +51,11 @@ if __name__ == '__main__':
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from os import remove
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from sys import exit
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from signal import signal, SIGINT
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from multiprocessing import Pool, cpu_count
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signal(SIGINT, lambda a, b: exit('\nExiting!'))
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def parse_arguments():
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ap = ArgumentParser(description='Find the best quality one among similar images.'
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'Note: image dimensions should match!')
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@ -65,21 +67,38 @@ if __name__ == '__main__':
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def run(args):
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try:
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ratings = {image: getattr(imgrate(image), args.method) for image in args.images}
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except AttributeError:
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if not hasattr(imgrate, args.method):
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exit('Invalid --method option!')
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ratings = calculate_all_ratings(args.images, args.method)
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maximum = max(ratings, key=ratings.get)
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for rating in ratings.keys():
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if args.quiet:
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print(ratings[rating])
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else:
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maxmark = '*' if rating == maximum and len(ratings) > 1 else ' '
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print('{}imgrate("{}") = {}'.format(maxmark, rating, ratings[rating]))
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fancy_print_ratings(ratings, args.quiet, maximum)
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if args.delete:
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[remove(image) for image in ratings if image != maximum]
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def calculate_all_ratings(images, method):
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ratings = []
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with Pool(processes=cpu_count()) as pool:
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for image in images:
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ratings.append((image, pool.apply_async(calculate_rating, (image, method))))
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return {image: promise.get() for image, promise in ratings}
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def calculate_rating(image, method):
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return getattr(imgrate(image), method)
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def fancy_print_ratings(ratings, quiet, maximum):
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for rating in ratings.keys():
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if quiet:
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print(ratings[rating])
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else:
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maxmark = '*' if rating == maximum and len(ratings) > 1 else ' '
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print('{}imgrate("{}") = {}'.format(maxmark, rating, ratings[rating]))
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run(parse_arguments())
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