将mnist数据集保存成numpy格式
import numpy as np
from urllib import request
import gzip
import pickle
filename = [
["training_images","train-images-idx3-ubyte.gz"],
["test_images","t10k-images-idx3-ubyte.gz"],
["training_labels","train-labels-idx1-ubyte.gz"],
["test_labels","t10k-labels-idx1-ubyte.gz"]
]
def download_mnist():
base_url = "http://yann.lecun.com/exdb/mnist/"
for name in filename:
print("Downloading "+name[1]+"...")
request.urlretrieve(base_url+name[1], name[1])
print("Download complete.")
def save_mnist():
mnist = {}
for name in filename[:2]:
with gzip.open(name[1], 'rb') as f:
mnist[name[0]] = np.frombuffer(f.read(), np.uint8, offset=16).reshape(-1,28*28)
for name in filename[-2:]:
with gzip.open(name[1], 'rb') as f:
mnist[name[0]] = np.frombuffer(f.read(), np.uint8, offset=8)
with open("mnist.pkl", 'wb') as f:
pickle.dump(mnist,f)
print("Save complete.")
def init():
download_mnist()
save_mnist()
def load():
with open("mnist.pkl",'rb') as f:
mnist = pickle.load(f)
return mnist["training_images"], mnist["training_labels"], mnist["test_images"], mnist["test_labels"]
if __name__ == '__main__':
init()
代码地址:https://github.com/hsjeong5/MNIST-for-Numpy
