在单个 .npz 文件中组合数据集

Question

我有四个目录 x_train、y_train、x_test 和 y_test

每个目录包含许多图像。我想将它们全部转换为一个 .npz 文件，以便我可以加载它们，如下所示。

DATA_URL = 'https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz'

path = tf.keras.utils.get_file('mnist.npz', DATA_URL)
with np.load(path) as data:
  train_examples = data['x_train']
  train_labels = data['y_train']
  test_examples = data['x_test']
  test_labels = data['y_test']

不用担心网址我只想创建文件

Answer 1

只需使用savez() 方法，参见docs。

import numpy as np
file_name = 'something.npz'
np.savez(file_name, x_train=x_train, y_train=y_train, x_test=x_test, y_test=y_test)