Skip to content
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
55 changes: 55 additions & 0 deletions test/fakedata_generation.py
Original file line number Diff line number Diff line change
Expand Up @@ -88,6 +88,61 @@ def _make_label_file(filename, num_images):
yield tmp_dir


@contextlib.contextmanager
def cifar_root(version):
def _get_version_params(version):
if version == 'CIFAR10':
return {
'base_folder': 'cifar-10-batches-py',
'train_files': ['data_batch_{}'.format(batch) for batch in range(1, 6)],
'test_file': 'test_batch',
'target_key': 'labels',
'meta_file': 'batches.meta',
'classes_key': 'label_names',
}
elif version == 'CIFAR100':
return {
'base_folder': 'cifar-100-python',
'train_files': ['train'],
'test_file': 'test',
'target_key': 'fine_labels',
'meta_file': 'meta',
'classes_key': 'fine_label_names',
}
else:
raise ValueError

def _make_pickled_file(obj, file):
with open(file, 'wb') as fh:
pickle.dump(obj, fh, 2)

def _make_data_file(file, target_key):
obj = {
'data': np.zeros((1, 32 * 32 * 3), dtype=np.uint8),
target_key: [0]
}
_make_pickled_file(obj, file)

def _make_meta_file(file, classes_key):
obj = {
classes_key: ['fakedata'],
}
_make_pickled_file(obj, file)

params = _get_version_params(version)
with get_tmp_dir() as root:
base_folder = os.path.join(root, params['base_folder'])
os.mkdir(base_folder)

for file in list(params['train_files']) + [params['test_file']]:
_make_data_file(os.path.join(base_folder, file), params['target_key'])

_make_meta_file(os.path.join(base_folder, params['meta_file']),
params['classes_key'])

yield root


@contextlib.contextmanager
def imagenet_root():
import scipy.io as sio
Expand Down