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