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resize_images.py
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resize_images.py
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import argparse
import os
from PIL import Image
def resize_image(image, size):
"""Resize an image to the given size."""
return image.resize(size, Image.ANTIALIAS)
def resize_images(image_dir, output_dir, size):
"""Resize the images in 'image_dir' and save into 'output_dir'."""
if not os.path.exists(output_dir):
os.makedirs(output_dir)
images = os.listdir(image_dir)
num_images = len(images)
for i, image in enumerate(images):
with open(os.path.join(image_dir, image), 'r+b') as f:
with Image.open(f) as img:
img = resize_image(img, size)
img.save(os.path.join(output_dir, image), img.format)
if i % 100 == 0:
print ("[%d/%d] Resized the images and saved into '%s'."
%(i, num_images, output_dir))
def main(args):
splits = [ 'train', 'val' ]
years = ['2014']
if not os.path.exists( args.output_dir ):
os.makedirs( args.output_dir )
for split in splits:
for year in years:
# build path for input and output dataset
dataset = split + year
image_dir = os.path.join( args.image_dir, dataset )
output_dir = os.path.join( args.output_dir, dataset )
image_size = [ args.image_size, args.image_size ]
resize_images( image_dir, output_dir, image_size )
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--image_dir', type=str, default='./data/images/orginal',
help='directory for train images')
parser.add_argument('--output_dir', type=str, default='./data/images/resized',
help='directory for saving resized images')
parser.add_argument('--image_size', type=int, default=256, # for cropping purpose
help='size for image after processing')
args = parser.parse_args()
main(args)