如何查看keras的image_dataset_from_directory函数生成的数据集?

Question

import numpy as np
import os
import random
import tensorflow as tf
from tensorflow import keras
import matplotlib.pyplot as plt
%matplotlib inline
CATEGORIES = ['cat', 'dog']
data = keras.preprocessing.image_dataset_from_directory(
'train',
labels = "inferred",
label_mode = "int",
class_names = ['cat', 'dog'],
color_mode = "rgb",
batch_size = 32,
image_size = (256, 256),
shuffle = True,
seed = 42,
validation_split = None,
subset = None,
interpolation = "bilinear",
follow_links = False,
)

我使用上面的函数来加载数据集并对其进行预处理。如何查看函数返回的数据?print(data)正在返回创建对象的地址，甚至将其转换为numpy数组也不起作用。

Answer 1

尝试:

image_batch, label_batch = next(iter(data))