如何在加载 MNIST 数据集时修复“没有这样的文件或目录”错误

Question

我已经从 yann.lecun.com 下载了 MNIST 训练图像和标签并解压了它们。我正在尝试使用此代码加载它们-from mlxtend.data import loadlocal_mnistfeatures,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，并且文件名是正确的。我怎样才能解决这个问题？编辑：我试着用同样的python-mnist套餐-from mnist import MNISTmndata = MNIST('/python/mnist-files')features,labels = mndata.load_training()我遇到了类似的错误-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'错误似乎只与训练标签文件有关；我尝试重新下载该文件，但这并没有解决它。编辑 2：根据要求，这里是输出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

Answer 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images更改为 a .）。

Answer 2

a /和~之间有区别。默认情况下，

os.dir('/')

将在'/'. 我猜你的文件 python 就在'~'你的主目录中。

你可以试试这个：

from os.path import expanduser

home = expanduser("~")+'/python/mnist-files'

mndata = MNIST(home)

features,labels = mndata.load_training()

如果有帮助，请告诉我。

Answer 3

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，它工作正常！！希望你会发现它有帮助。