我已经从yann.lecun.com下载了MNIST训练图像和标签,并将其解压缩。我正在尝试使用此代码加载它们-
from mlxtend.data import loadlocal_mnist
features,labels = loadlocal_mnist(
images_path='/python/mnist-files/train-images-idx3-ubyte',
labels_path='/python/mnist-files/train-labels-idx1-ubyte')
但是,我收到此错误-
Traceback (most recent call last):
File "generateClassifier.py", line 12, in <module>
labels_path='/python/mnist-files/train-labels-idx1-ubyte')
File "/home/inglorion/.local/lib/python3.6/site-
packages/mlxtend/data/local_mnist.py", line 36, in loadlocal_mnist
with open(labels_path, 'rb') as lbpath:
FileNotFoundError: [Errno 2] No such file or directory: '/python/mnist-
files/train-labels-idx1-ubyte'
该目录确实存在,并且文件名正确。我该如何解决?
编辑:我对python-mnist
软件包也进行了尝试-
from mnist import MNIST
mndata = MNIST('/python/mnist-files')
features,labels = mndata.load_training()
我遇到类似的错误-
Traceback (most recent call last):
File "generateClassifier.py", line 11, in <module>
features,labels = mndata.load_training()
File "/home/inglorion/.local/lib/python3.6/site-packages/mnist/loader.py",
line 126, in load_training
os.path.join(self.path, self.train_lbl_fname))
File "/home/inglorion/.local/lib/python3.6/site-packages/mnist/loader.py",
line 247, in load
with self.opener(path_lbl, 'rb') as file:
File "/home/inglorion/.local/lib/python3.6/site-packages/mnist/loader.py",
line 239, in opener
return open(path_fn, *args, **kwargs)
FileNotFoundError: [Errno 2] No such file or directory: '/python/mnist-
files/train-labels-idx1-ubyte'
该错误似乎仅与训练标签文件有关;我尝试重新下载该文件,但这并不能解决问题。
编辑2:根据要求,这是ls -l /python/mnist-files
-
total 46156
-rw-r--r-- 1 inglorion inglorion 47040016 Jul 21 2000 train-images-idx3-
ubyte
-rw-r--r-- 1 inglorion inglorion 60008 Jul 21 2000 train-labels-idx1-
ubyte
-rw-r--r-- 1 inglorion inglorion 147970 Feb 8 22:43 wget-log
-rw-r--r-- 1 inglorion inglorion 682 Feb 9 14:40 wget-log.1
编辑3:这是print(os.listdir('/python/mnist-files'))
的输出:
FileNotFoundError: [Errno 2] No such file or directory: '/python/mnist-files'
我完全迷惑了-我知道目录存在!当我进入/python
时就可以看到它!
答案 0 :(得分:1)
对我来说,它有助于将文件重命名为train-images.idx3-ubyte
而不是train-images-idx3-ubyte
(-
之后的images
更改为.
)。
答案 1 :(得分:0)
您可以尝试使用此代码。
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', validation_size=0)
我已经执行了代码,效果很好!!希望对您有所帮助。
答案 2 :(得分:0)
/ 和〜之间是有区别的。默认情况下,
os.dir('/')
将在 '/'
进行检查。我猜您的文件python位于 '~'
中,即您的主目录中。
您可以尝试以下方法:
from os.path import expanduser
home = expanduser("~")+'/python/mnist-files'
mndata = MNIST(home)
features,labels = mndata.load_training()
让我知道是否有帮助。