46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
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import time
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import concurrent.futures
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from PIL import Image, ImageFilter
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img_names = [
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'photo-1516117172878-fd2c41f4a759.jpg',
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'photo-1532009324734-20a7a5813719.jpg',
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'photo-1524429656589-6633a470097c.jpg',
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'photo-1530224264768-7ff8c1789d79.jpg',
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'photo-1564135624576-c5c88640f235.jpg',
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'photo-1541698444083-023c97d3f4b6.jpg',
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'photo-1522364723953-452d3431c267.jpg',
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'photo-1513938709626-033611b8cc03.jpg',
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'photo-1507143550189-fed454f93097.jpg',
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'photo-1493976040374-85c8e12f0c0e.jpg',
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'photo-1504198453319-5ce911bafcde.jpg',
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'photo-1530122037265-a5f1f91d3b99.jpg',
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'photo-1516972810927-80185027ca84.jpg',
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'photo-1550439062-609e1531270e.jpg',
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'photo-1549692520-acc6669e2f0c.jpg'
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]
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t1 = time.perf_counter()
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size = (1200, 1200)
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def process_image(img_name):
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img = Image.open(img_name)
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img = img.filter(ImageFilter.GaussianBlur(15))
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img.thumbnail(size)
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img.save(f'processed/{img_name}')
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print(f'{img_name} was processed...')
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with concurrent.futures.ProcessPoolExecutor() as executor:
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executor.map(process_image, img_names)
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t2 = time.perf_counter()
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print(f'Finished in {t2-t1} seconds')
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