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https://github.com/yunjey/pytorch-tutorial.git
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35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
from PIL import Image
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import os
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def resize_image(image, size):
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"""Resizes 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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"""Resizes the images in the image_dir and save into the 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(
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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():
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splits = ['train', 'val']
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for split in splits:
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image_dir = './data/%s2014/' %split
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output_dir = './data/%s2014resized' %split
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resize_images(image_dir, output_dir, (256, 256))
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if __name__ == '__main__':
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main() |