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| import argparse | |
| import os | |
| import os.path as osp | |
| import tempfile | |
| import zipfile | |
| import mmcv | |
| CHASE_DB1_LEN = 28 * 3 | |
| TRAINING_LEN = 60 | |
| def parse_args(): | |
| parser = argparse.ArgumentParser( | |
| description='Convert CHASE_DB1 dataset to mmsegmentation format') | |
| parser.add_argument('dataset_path', help='path of CHASEDB1.zip') | |
| 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() | |
| dataset_path = args.dataset_path | |
| if args.out_dir is None: | |
| out_dir = osp.join('data', 'CHASE_DB1') | |
| 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 CHASEDB1.zip...') | |
| zip_file = zipfile.ZipFile(dataset_path) | |
| zip_file.extractall(tmp_dir) | |
| print('Generating training dataset...') | |
| assert len(os.listdir(tmp_dir)) == CHASE_DB1_LEN, \ | |
| 'len(os.listdir(tmp_dir)) != {}'.format(CHASE_DB1_LEN) | |
| for img_name in sorted(os.listdir(tmp_dir))[:TRAINING_LEN]: | |
| img = mmcv.imread(osp.join(tmp_dir, img_name)) | |
| if osp.splitext(img_name)[1] == '.jpg': | |
| mmcv.imwrite( | |
| img, | |
| osp.join(out_dir, 'images', 'training', | |
| osp.splitext(img_name)[0] + '.png')) | |
| else: | |
| # 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', 'training', | |
| osp.splitext(img_name)[0] + '.png')) | |
| for img_name in sorted(os.listdir(tmp_dir))[TRAINING_LEN:]: | |
| img = mmcv.imread(osp.join(tmp_dir, img_name)) | |
| if osp.splitext(img_name)[1] == '.jpg': | |
| mmcv.imwrite( | |
| img, | |
| osp.join(out_dir, 'images', 'validation', | |
| osp.splitext(img_name)[0] + '.png')) | |
| else: | |
| 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() | |