1 files changed, 0 insertions, 63 deletions
diff --git a/make_dataset_aligned.py b/make_dataset_aligned.py
deleted file mode 100644
index 739c767..0000000
--- a/make_dataset_aligned.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import os
-
-from PIL import Image
-
-
-def get_file_paths(folder):
-    image_file_paths = []
-    for root, dirs, filenames in os.walk(folder):
-        filenames = sorted(filenames)
-        for filename in filenames:
-            input_path = os.path.abspath(root)
-            file_path = os.path.join(input_path, filename)
-            if filename.endswith('.png') or filename.endswith('.jpg'):
-                image_file_paths.append(file_path)
-
-        break  # prevent descending into subfolders
-    return image_file_paths
-
-
-def align_images(a_file_paths, b_file_paths, target_path):
-    if not os.path.exists(target_path):
-        os.makedirs(target_path)
-
-    for i in range(len(a_file_paths)):
-        img_a = Image.open(a_file_paths[i])
-        img_b = Image.open(b_file_paths[i])
-        assert(img_a.size == img_b.size)
-
-        aligned_image = Image.new("RGB", (img_a.size[0] * 2, img_a.size[1]))
-        aligned_image.paste(img_a, (0, 0))
-        aligned_image.paste(img_b, (img_a.size[0], 0))
-        aligned_image.save(os.path.join(target_path, '{:04d}.jpg'.format(i)))
-
-
-if __name__ == '__main__':
-    import argparse
-    parser = argparse.ArgumentParser()
-    parser.add_argument(
-        '--dataset-path',
-        dest='dataset_path',
-        help='Which folder to process (it should have subfolders testA, testB, trainA and trainB'
-    )
-    args = parser.parse_args()
-
-    dataset_folder = args.dataset_path
-    print(dataset_folder)
-
-    test_a_path = os.path.join(dataset_folder, 'testA')
-    test_b_path = os.path.join(dataset_folder, 'testB')
-    test_a_file_paths = get_file_paths(test_a_path)
-    test_b_file_paths = get_file_paths(test_b_path)
-    assert(len(test_a_file_paths) == len(test_b_file_paths))
-    test_path = os.path.join(dataset_folder, 'test')
-
-    train_a_path = os.path.join(dataset_folder, 'trainA')
-    train_b_path = os.path.join(dataset_folder, 'trainB')
-    train_a_file_paths = get_file_paths(train_a_path)
-    train_b_file_paths = get_file_paths(train_b_path)
-    assert(len(train_a_file_paths) == len(train_b_file_paths))
-    train_path = os.path.join(dataset_folder, 'train')
-
-    align_images(test_a_file_paths, test_b_file_paths, test_path)
-    align_images(train_a_file_paths, train_b_file_paths, train_path)