modified the code

tutorials/09 - Image Captioning/resize.py

@@ -0,0 +1,44 @@
+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']
+    for split in splits:
+        image_dir = args.image_dir
+        output_dir = args.output_dir
+        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/train2014/',
+                        help='directory for train images')
+    parser.add_argument('--output_dir', type=str, default='./data/resized2014/',
+                        help='directory for saving resized images')
+    parser.add_argument('--image_size', type=int, default=256,
+                        help='size for image after processing')
+    args = parser.parse_args()
+    main(args)