70 lines
2.8 KiB
Python
70 lines
2.8 KiB
Python
"""Prepare MS COCO datasets"""
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import os
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import sys
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import argparse
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import zipfile
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# TODO: optim code
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cur_path = os.path.abspath(os.path.dirname(__file__))
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root_path = os.path.split(os.path.split(os.path.split(cur_path)[0])[0])[0]
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sys.path.append(root_path)
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from core.utils import download, makedirs, try_import_pycocotools
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_TARGET_DIR = os.path.expanduser('~/.torch/datasets/coco')
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def parse_args():
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parser = argparse.ArgumentParser(
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description='Initialize MS COCO dataset.',
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epilog='Example: python mscoco.py --download-dir ~/mscoco',
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formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument('--download-dir', type=str, default='~/mscoco/', help='dataset directory on disk')
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parser.add_argument('--no-download', action='store_true', help='disable automatic download if set')
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parser.add_argument('--overwrite', action='store_true',
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help='overwrite downloaded files if set, in case they are corrupted')
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args = parser.parse_args()
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return args
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def download_coco(path, overwrite=False):
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_DOWNLOAD_URLS = [
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('http://images.cocodataset.org/zips/train2017.zip',
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'10ad623668ab00c62c096f0ed636d6aff41faca5'),
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('http://images.cocodataset.org/annotations/annotations_trainval2017.zip',
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'8551ee4bb5860311e79dace7e79cb91e432e78b3'),
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('http://images.cocodataset.org/zips/val2017.zip',
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'4950dc9d00dbe1c933ee0170f5797584351d2a41'),
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# ('http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip',
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# '46cdcf715b6b4f67e980b529534e79c2edffe084'),
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# test2017.zip, for those who want to attend the competition.
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# ('http://images.cocodataset.org/zips/test2017.zip',
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# '4e443f8a2eca6b1dac8a6c57641b67dd40621a49'),
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]
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makedirs(path)
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for url, checksum in _DOWNLOAD_URLS:
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filename = download(url, path=path, overwrite=overwrite, sha1_hash=checksum)
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# extract
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with zipfile.ZipFile(filename) as zf:
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zf.extractall(path=path)
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if __name__ == '__main__':
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args = parse_args()
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path = os.path.expanduser(args.download_dir)
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if not os.path.isdir(path) or not os.path.isdir(os.path.join(path, 'train2017')) \
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or not os.path.isdir(os.path.join(path, 'val2017')) \
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or not os.path.isdir(os.path.join(path, 'annotations')):
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if args.no_download:
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raise ValueError(('{} is not a valid directory, make sure it is present.'
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' Or you should not disable "--no-download" to grab it'.format(path)))
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else:
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download_coco(path, overwrite=args.overwrite)
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# make symlink
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makedirs(os.path.expanduser('~/.torch/datasets'))
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if os.path.isdir(_TARGET_DIR):
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os.remove(_TARGET_DIR)
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os.symlink(path, _TARGET_DIR)
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try_import_pycocotools()
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