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automatically download dataset

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This commit is contained in:
Xu Ma 2022-02-15 21:32:53 -05:00
parent c9dbca9c7c
commit 16baefaa74
1 changed files with 17 additions and 0 deletions
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17
classification_ScanObjectNN/ScanObjectNN.py
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@ -12,7 +12,24 @@ from torch.utils.data import Dataset
os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE" os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE"
def download():
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
DATA_DIR = os.path.join(BASE_DIR, 'data')
if not os.path.exists(DATA_DIR):
os.mkdir(DATA_DIR)
if not os.path.exists(os.path.join(DATA_DIR, 'h5_files')):
# note that this link only contains the hardest perturbed variant (PB_T50_RS).
# for full versions, consider the following link.
www = 'https://web.northeastern.edu/smilelab/xuma/datasets/h5_files.zip'
# www = 'http://103.24.77.34/scanobjectnn/h5_files.zip'
zipfile = os.path.basename(www)
os.system('wget %s --no-check-certificate; unzip %s' % (www, zipfile))
os.system('mv %s %s' % (zipfile[:-4], DATA_DIR))
os.system('rm %s' % (zipfile))
def load_scanobjectnn_data(partition): def load_scanobjectnn_data(partition):
download()
BASE_DIR = os.path.dirname(os.path.abspath(__file__)) BASE_DIR = os.path.dirname(os.path.abspath(__file__))
all_data = [] all_data = []
all_label = [] all_label = []