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https://github.com/yunjey/pytorch-tutorial.git
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44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
import argparse
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import os
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from PIL import Image
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def resize_image(image, size):
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"""Resize an image to the given size."""
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return image.resize(size, Image.ANTIALIAS)
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def resize_images(image_dir, output_dir, size):
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"""Resize the images in 'image_dir' and save into 'output_dir'."""
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if not os.path.exists(output_dir):
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os.makedirs(output_dir)
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images = os.listdir(image_dir)
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num_images = len(images)
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for i, image in enumerate(images):
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with open(os.path.join(image_dir, image), 'r+b') as f:
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with Image.open(f) as img:
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img = resize_image(img, size)
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img.save(os.path.join(output_dir, image), img.format)
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if i % 100 == 0:
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print ("[%d/%d] Resized the images and saved into '%s'."
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%(i, num_images, output_dir))
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def main(args):
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splits = ['train', 'val']
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for split in splits:
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image_dir = args.image_dir
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output_dir = args.output_dir
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image_size = [args.image_size, args.image_size]
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resize_images(image_dir, output_dir, image_size)
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument('--image_dir', type=str, default='./data/train2014/',
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help='directory for train images')
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parser.add_argument('--output_dir', type=str, default='./data/resized2014/',
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help='directory for saving resized images')
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parser.add_argument('--image_size', type=int, default=256,
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help='size for image after processing')
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args = parser.parse_args()
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main(args) |