File size: 3,148 Bytes
b13b124 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
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()
|