我已经从yann.lecun.com下载了MNIST训练图像和标签,并解压缩了它们。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,出现此错误-
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
包尝试了相同的操作-
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;我尝试重新下载文件,但是并没有解决。
编辑2:根据要求,这是ls -l /python/mnist-files
-]的输出>
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:
目录存在!当我进入FileNotFoundError: [Errno 2] No such file or directory: '/python/mnist-files'
我完全迷惑了-我知道
/python
时可以看到它!我已经从yann.lecun.com下载了MNIST训练图像和标签,并解压缩了它们。我正在尝试使用此代码从mlxtend.data导入来加载它们。data import loadlocal_mnist features,labels = ...
os.dir('/')
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,它工作正常!!希望对您有所帮助。