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()