def get_data(dataset, data_type=None):
if dataset == 'Omniglot':
return omniglot.OmniglotData(path='../data/omniglot.npy',
train_size=1100,
validation_size=100,
augment_data=True,
seed=111)
elif dataset == 'miniImageNet':
return mini_imagenet.MiniImageNetData(path='../data', seed=42)
elif dataset == 'shapenet':
return shapenet.ShapeNetData(path='../data', model_type=data_type, train_fraction=0.7, val_fraction=0.1, num_instances_per_item=36, seed=42)
else:
sys.exit("Unsupported dataset type (%s)." % dataset)
def get_data(dataset, mode='train', seed=1):
if dataset == 'Omniglot':
return omniglot.OmniglotData(path='../data/omniglot.npy',
train_size=1100,
validation_size=100,
augment_data=True,
seed=seed)
elif dataset == 'miniImageNet':
return mini_imagenet.MiniImageNetData(path='../data', seed=seed)
elif dataset == 'cifarfs':
return cifar_fs.CifarData(path='../data', seed=seed)
elif dataset == 'tieredImageNet':
return tiered_imagenet.tieredImageNetData(path='../data', seed=seed)
else:
sys.exit("Unsupported dataset type (%s)." % dataset)