52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
"""Prepare ADE20K dataset"""
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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
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_TARGET_DIR = os.path.expanduser('~/.torch/datasets/ade')
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def parse_args():
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parser = argparse.ArgumentParser(
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description='Initialize ADE20K dataset.',
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epilog='Example: python setup_ade20k.py',
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formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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parser.add_argument('--download-dir', default=None, help='dataset directory on disk')
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args = parser.parse_args()
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return args
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def download_ade(path, overwrite=False):
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_AUG_DOWNLOAD_URLS = [
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('http://data.csail.mit.edu/places/ADEchallenge/ADEChallengeData2016.zip',
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'219e1696abb36c8ba3a3afe7fb2f4b4606a897c7'),
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(
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'http://data.csail.mit.edu/places/ADEchallenge/release_test.zip',
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'e05747892219d10e9243933371a497e905a4860c'), ]
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download_dir = os.path.join(path, 'downloads')
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makedirs(download_dir)
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for url, checksum in _AUG_DOWNLOAD_URLS:
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filename = download(url, path=download_dir, overwrite=overwrite, sha1_hash=checksum)
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# extract
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with zipfile.ZipFile(filename, "r") as zip_ref:
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zip_ref.extractall(path=path)
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if __name__ == '__main__':
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args = parse_args()
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makedirs(os.path.expanduser('~/.torch/datasets'))
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if args.download_dir is not None:
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if os.path.isdir(_TARGET_DIR):
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os.remove(_TARGET_DIR)
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# make symlink
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os.symlink(args.download_dir, _TARGET_DIR)
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download_ade(_TARGET_DIR, overwrite=False)
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