将Tensorflow BatchDataset转换为带有图像和标签的Numpy数组

import tensorflow as tf
import numpy as np

dataset = tf.data.Dataset.from_tensor_slices((images, labels))

def preprocess(image, label):
    # 进行图像预处理操作，例如缩放、归一化等
    image = ...
    # 进行标签预处理操作，例如独热编码等
    label = ...
    return image, label

dataset = dataset.map(preprocess)

images = []
labels = []

for image, label in dataset:
    images.append(image.numpy())
    labels.append(label.numpy())

images = np.array(images)
labels = np.array(labels)