""" CIFAR Dataset. URL: https://www.cs.toronto.edu/~kriz/cifar.html the default train_creator, test_creator used for CIFAR-10 dataset. """ import cPickle import itertools import tarfile import numpy from common import download __all__ = [ 'cifar_100_train_creator', 'cifar_100_test_creator', 'train_creator', 'test_creator' ] CIFAR10_URL = 'https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz' CIFAR10_MD5 = 'c58f30108f718f92721af3b95e74349a' CIFAR100_URL = 'https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gz' CIFAR100_MD5 = 'eb9058c3a382ffc7106e4002c42a8d85' def __read_batch__(filename, sub_name): def reader(): def __read_one_batch_impl__(batch): data = batch['data'] labels = batch.get('labels', batch.get('fine_labels', None)) assert labels is not None for sample, label in itertools.izip(data, labels): yield (sample / 255.0).astype(numpy.float32), int(label) with tarfile.open(filename, mode='r') as f: names = (each_item.name for each_item in f if sub_name in each_item.name) for name in names: batch = cPickle.load(f.extractfile(name)) for item in __read_one_batch_impl__(batch): yield item return reader def cifar_100_train_creator(): fn = download(url=CIFAR100_URL, md5=CIFAR100_MD5) return __read_batch__(fn, 'train') def cifar_100_test_creator(): fn = download(url=CIFAR100_URL, md5=CIFAR100_MD5) return __read_batch__(fn, 'test') def train_creator(): """ Default train reader creator. Use CIFAR-10 dataset. """ fn = download(url=CIFAR10_URL, md5=CIFAR10_MD5) return __read_batch__(fn, 'data_batch') def test_creator(): """ Default test reader creator. Use CIFAR-10 dataset. """ fn = download(url=CIFAR10_URL, md5=CIFAR10_MD5) return __read_batch__(fn, 'test_batch') def unittest(): for _ in train_creator()(): pass for _ in test_creator()(): pass if __name__ == '__main__': unittest()