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December 11, 2018 15:28
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"""Prepare MS COCO datasets""" | |
import os | |
import shutil | |
import argparse | |
import zipfile | |
from gluoncv.utils import download, makedirs | |
from gluoncv.data.mscoco.utils import try_import_pycocotools | |
_TARGET_DIR = os.path.expanduser('~/.mxnet/datasets/coco') | |
def parse_args(): | |
parser = argparse.ArgumentParser( | |
description='Initialize MS COCO dataset.', | |
epilog='Example: python mscoco.py --download-dir ~/mscoco', | |
formatter_class=argparse.ArgumentDefaultsHelpFormatter) | |
parser.add_argument('--download-dir', type=str, default='~/mscoco/', help='dataset directory on disk') | |
parser.add_argument('--no-download', action='store_true', help='disable automatic download if set') | |
parser.add_argument('--overwrite', action='store_true', help='overwrite downloaded files if set, in case they are corrputed') | |
args = parser.parse_args() | |
return args | |
def download_coco(path, overwrite=False): | |
_DOWNLOAD_URLS = [ | |
('http://images.cocodataset.org/zips/train2017.zip', | |
'10ad623668ab00c62c096f0ed636d6aff41faca5'), | |
('http://images.cocodataset.org/annotations/annotations_trainval2017.zip', | |
'8551ee4bb5860311e79dace7e79cb91e432e78b3'), | |
('http://images.cocodataset.org/zips/val2017.zip', | |
'4950dc9d00dbe1c933ee0170f5797584351d2a41'), | |
# ('http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip', | |
# '46cdcf715b6b4f67e980b529534e79c2edffe084'), | |
# test2017.zip, for those who want to attend the competition. | |
# ('http://images.cocodataset.org/zips/test2017.zip', | |
# '4e443f8a2eca6b1dac8a6c57641b67dd40621a49'), | |
] | |
makedirs(path) | |
for url, checksum in _DOWNLOAD_URLS: | |
filename = download(url, path=path, overwrite=overwrite, sha1_hash=checksum) | |
# extract | |
with zipfile.ZipFile(filename) as zf: | |
zf.extractall(path=path) | |
if __name__ == '__main__': | |
args = parse_args() | |
path = os.path.expanduser(args.download_dir) | |
if not os.path.isdir(path) or not os.path.isdir(os.path.join(path, 'train2017')) \ | |
or not os.path.isdir(os.path.join(path, 'val2017')) \ | |
or not os.path.isdir(os.path.join(path, 'annotations')): | |
if args.no_download: | |
raise ValueError(('{} is not a valid directory, make sure it is present.' | |
' Or you should not disable "--no-download" to grab it'.format(path))) | |
else: | |
download_coco(path, overwrite=args.overwrite) | |
# make symlink | |
makedirs(os.path.expanduser('~/.mxnet/datasets')) | |
if os.path.isdir(_TARGET_DIR): | |
os.remove(_TARGET_DIR) | |
os.symlink(path, _TARGET_DIR) | |
try_import_pycocotools() |
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