48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
# Sebastian Raschka 2014-2020
|
|
# mlxtend Machine Learning Library Extensions
|
|
#
|
|
# A function for fetching the open-source MNIST dataset.
|
|
# Author: Sebastian Raschka <sebastianraschka.com>
|
|
#
|
|
# License: BSD 3 clause
|
|
|
|
import struct
|
|
import numpy as np
|
|
|
|
|
|
def loadlocal_mnist(images_path, labels_path):
|
|
""" Read MNIST from ubyte files.
|
|
|
|
Parameters
|
|
----------
|
|
images_path : str
|
|
path to the test or train MNIST ubyte file
|
|
labels_path : str
|
|
path to the test or train MNIST class labels file
|
|
|
|
Returns
|
|
--------
|
|
images : [n_samples, n_pixels] numpy.array
|
|
Pixel values of the images.
|
|
labels : [n_samples] numpy array
|
|
Target class labels
|
|
|
|
Examples
|
|
-----------
|
|
For usage examples, please see
|
|
http://rasbt.github.io/mlxtend/user_guide/data/loadlocal_mnist/
|
|
|
|
"""
|
|
with open(labels_path, 'rb') as lbpath:
|
|
magic, n = struct.unpack('>II',
|
|
lbpath.read(8))
|
|
labels = np.fromfile(lbpath,
|
|
dtype=np.uint8)
|
|
with open(images_path, 'rb') as imgpath:
|
|
magic, num, rows, cols = struct.unpack(">IIII",
|
|
imgpath.read(16))
|
|
images = np.fromfile(imgpath,
|
|
dtype=np.uint8).reshape(len(labels), 784)
|
|
|
|
return images, labels
|