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- # Copyright (c) OpenMMLab. All rights reserved.
- import argparse
- import os
- import os.path as osp
- import tempfile
- import zipfile
-
- import cv2
- import mmcv
-
-
- def parse_args():
- parser = argparse.ArgumentParser(
- description='Convert DRIVE dataset to mmsegmentation format')
- parser.add_argument(
- 'training_path', help='the training part of DRIVE dataset')
- parser.add_argument(
- 'testing_path', help='the testing part of DRIVE dataset')
- parser.add_argument('--tmp_dir', help='path of the temporary directory')
- parser.add_argument('-o', '--out_dir', help='output path')
- args = parser.parse_args()
- return args
-
-
- def main():
- args = parse_args()
- training_path = args.training_path
- testing_path = args.testing_path
- if args.out_dir is None:
- out_dir = osp.join('data', 'DRIVE')
- else:
- out_dir = args.out_dir
-
- print('Making directories...')
- mmcv.mkdir_or_exist(out_dir)
- mmcv.mkdir_or_exist(osp.join(out_dir, 'images'))
- mmcv.mkdir_or_exist(osp.join(out_dir, 'images', 'training'))
- mmcv.mkdir_or_exist(osp.join(out_dir, 'images', 'validation'))
- mmcv.mkdir_or_exist(osp.join(out_dir, 'annotations'))
- mmcv.mkdir_or_exist(osp.join(out_dir, 'annotations', 'training'))
- mmcv.mkdir_or_exist(osp.join(out_dir, 'annotations', 'validation'))
-
- with tempfile.TemporaryDirectory(dir=args.tmp_dir) as tmp_dir:
- print('Extracting training.zip...')
- zip_file = zipfile.ZipFile(training_path)
- zip_file.extractall(tmp_dir)
-
- print('Generating training dataset...')
- now_dir = osp.join(tmp_dir, 'training', 'images')
- for img_name in os.listdir(now_dir):
- img = mmcv.imread(osp.join(now_dir, img_name))
- mmcv.imwrite(
- img,
- osp.join(
- out_dir, 'images', 'training',
- osp.splitext(img_name)[0].replace('_training', '') +
- '.png'))
-
- now_dir = osp.join(tmp_dir, 'training', '1st_manual')
- for img_name in os.listdir(now_dir):
- cap = cv2.VideoCapture(osp.join(now_dir, img_name))
- ret, img = cap.read()
- mmcv.imwrite(
- img[:, :, 0] // 128,
- osp.join(out_dir, 'annotations', 'training',
- osp.splitext(img_name)[0] + '.png'))
-
- print('Extracting test.zip...')
- zip_file = zipfile.ZipFile(testing_path)
- zip_file.extractall(tmp_dir)
-
- print('Generating validation dataset...')
- now_dir = osp.join(tmp_dir, 'test', 'images')
- for img_name in os.listdir(now_dir):
- img = mmcv.imread(osp.join(now_dir, img_name))
- mmcv.imwrite(
- img,
- osp.join(
- out_dir, 'images', 'validation',
- osp.splitext(img_name)[0].replace('_test', '') + '.png'))
-
- now_dir = osp.join(tmp_dir, 'test', '1st_manual')
- if osp.exists(now_dir):
- for img_name in os.listdir(now_dir):
- cap = cv2.VideoCapture(osp.join(now_dir, img_name))
- ret, img = cap.read()
- # The annotation img should be divided by 128, because some of
- # the annotation imgs are not standard. We should set a
- # threshold to convert the nonstandard annotation imgs. The
- # value divided by 128 is equivalent to '1 if value >= 128
- # else 0'
- mmcv.imwrite(
- img[:, :, 0] // 128,
- osp.join(out_dir, 'annotations', 'validation',
- osp.splitext(img_name)[0] + '.png'))
-
- now_dir = osp.join(tmp_dir, 'test', '2nd_manual')
- if osp.exists(now_dir):
- for img_name in os.listdir(now_dir):
- cap = cv2.VideoCapture(osp.join(now_dir, img_name))
- ret, img = cap.read()
- mmcv.imwrite(
- img[:, :, 0] // 128,
- osp.join(out_dir, 'annotations', 'validation',
- osp.splitext(img_name)[0] + '.png'))
-
- print('Removing the temporary files...')
-
- print('Done!')
-
-
- if __name__ == '__main__':
- main()
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