本文整理匯總了Python中torchvision.datasets.utils.check_integrity方法的典型用法代碼示例。如果您正苦於以下問題：Python utils.check_integrity方法的具體用法？Python utils.check_integrity怎麽用？Python utils.check_integrity使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類torchvision.datasets.utils的用法示例。
在下文中一共展示了utils.check_integrity方法的11個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _load_meta
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _load_meta(self):
path = os.path.join(self.root, self.base_folder, self.meta['filename'])
if not check_integrity(path, self.meta['md5']):
raise RuntimeError('Dataset metadata file not found or corrupted.' +
' You can use download=True to download it')
with open(path, 'rb') as infile:
if sys.version_info[0] == 2:
data = pickle.load(infile)
else:
data = pickle.load(infile, encoding='latin1')
self.classes = data[self.meta['key']]
self.class_to_idx = {_class: i for i, _class in enumerate(self.classes)} 示例2: _check_integrity
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _check_integrity(self):
root = self.root
for fentry in (self.train_list + self.test_list):
filename, md5 = fentry[0], fentry[1]
fpath = os.path.join(root, self.base_folder, filename)
if not check_integrity(fpath, md5):
return False
return True 示例3: _check_integrity
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _check_integrity(self):
root = self.root
md5 = self.split_list[self.split][2]
fpath = os.path.join(root, self.filename)
return check_integrity(fpath, md5) 示例4: download
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def download(self):
if not check_integrity(self.meta_file):
tmpdir = os.path.join(self.root, 'tmp')
archive_dict = ARCHIVE_DICT['devkit']
download_and_extract_tar(archive_dict['url'], self.root,
extract_root=tmpdir,
md5=archive_dict['md5'])
devkit_folder = _splitexts(os.path.basename(archive_dict['url']))[0]
meta = parse_devkit(os.path.join(tmpdir, devkit_folder))
self._save_meta_file(*meta)
shutil.rmtree(tmpdir)
if not os.path.isdir(self.split_folder):
archive_dict = ARCHIVE_DICT[self.split]
download_and_extract_tar(archive_dict['url'], self.root,
extract_root=self.split_folder,
md5=archive_dict['md5'])
if self.split == 'train':
prepare_train_folder(self.split_folder)
elif self.split == 'val':
val_wnids = self._load_meta_file()[1]
prepare_val_folder(self.split_folder, val_wnids)
else:
msg = ("You set download=True, but a folder '{}' already exist in "
"the root directory. If you want to re-download or re-extract the "
"archive, delete the folder.")
print(msg.format(self.split)) 示例5: _load_meta_file
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _load_meta_file(self):
if check_integrity(self.meta_file):
return torch.load(self.meta_file)
raise RuntimeError("Meta file not found or corrupted.",
"You can use download=True to create it.") 示例6: download_and_extract_tar
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def download_and_extract_tar(url, download_root, extract_root=None, filename=None,
md5=None, **kwargs):
download_root = os.path.expanduser(download_root)
if extract_root is None:
extract_root = download_root
if filename is None:
filename = os.path.basename(url)
if not check_integrity(os.path.join(download_root, filename), md5):
download_url(url, download_root, filename=filename, md5=md5)
extract_tar(os.path.join(download_root, filename), extract_root, **kwargs) 示例7: _load_meta
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _load_meta(self):
path = os.path.join(self.root, self.base_folder, self.meta['filename'])
if not utils.check_integrity(path, self.meta['md5']):
raise RuntimeError('Dataset metadata file not found or corrupted.' +
' You can use download=True to download it')
with open(path, 'rb') as infile:
if sys.version_info[0] == 2:
data = pickle.load(infile)
else:
data = pickle.load(infile, encoding='latin1')
self.classes = data[self.meta['key']]
self.class_to_idx = {_class: i for i, _class in enumerate(self.classes)} 示例8: _check_integrity
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _check_integrity(self):
root = self.root
for fentry in (self.train_list + self.test_list):
filename, md5 = fentry[0], fentry[1]
fpath = os.path.join(root, self.base_folder, filename)
if not utils.check_integrity(fpath, md5):
return False
return True 示例9: _check_integrity
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _check_integrity(self):
root = self.root
for fentry in (self.train_list + self.test_list):
filename, md5 = fentry[0], fentry[1]
fpath = os.path.join(root, self.base_folder, filename)
if not check_integrity(fpath, md5):
return False
return True 示例10: _check_integrity
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _check_integrity(self,file_md5,filename):
root = self.root
fpath = os.path.join(root, filename)
return check_integrity(fpath, file_md5) 示例11: _check_integrity
# 需要導入模塊: from torchvision.datasets import utils [as 別名]
# 或者: from torchvision.datasets.utils import check_integrity [as 別名]
def _check_integrity(self,):
root = self.root
for fentry in (self.train_list + self.test_list):
filename, md5 = fentry[0], fentry[1]
fpath = os.path.join(root, self.base_folder, filename)
if not check_integrity(fpath, md5):
return False
return True