有若干图像，进行读取，转为二维数组，将图片像素值归一化到0~1，改变图片尺寸为 [N, C, H, W]，，获取图像一维标签

，最终返回由图像二维数组和对应标签组成的数据集。

以下是Python代码示例：

import os
import numpy as np
from PIL import Image

def read_images(data_path, img_size):
    images = []
    labels = []
    for foldername in os.listdir(data_path):
        folderpath = os.path.join(data_path, foldername)
        if os.path.isdir(folderpath):
            for filename in os.listdir(folderpath):
                if filename.endswith(".jpg"):
                    filepath = os.path.join(folderpath, filename)
                    img = Image.open(filepath).convert("L") # 转为灰度图
                    img = img.resize(img_size) # 改变图片尺寸
                    img_arr = np.array(img) / 255.0 # 归一化到0~1
                    images.append(img_arr)
                    labels.append(int(foldername))
    images = np.array(images)
    labels = np.array(labels)
    return images, labels

data_path = "path/to/images"
img_size = (28, 28) # 图像尺寸
images, labels = read_images(data_path, img_size)

# 转为 [N, C, H, W] 形式
images = images.reshape(images.shape[0], 1, img_size[0], img_size[1])

# 返回数据集
dataset = {"images": images, "labels": labels}