将不同大小的图像调整为28x28大小的图像，并将其转换为一个csv文件

import cv2
import pandas as pd
import numpy as np

# 读取原始图像文件夹中的图像
image_folder = 'path/to/image/folder'
image_files = ['image1.jpg', 'image2.jpg', 'image3.jpg']  # 替换为实际的图像文件名列表
images = []
for image_file in image_files:
    image_path = image_folder + '/' + image_file
    image = cv2.imread(image_path)
    images.append(image)

# 调整图像尺寸为28x28
resized_images = []
for image in images:
    resized_image = cv2.resize(image, (28, 28))
    resized_images.append(resized_image)

# 转换为灰度图像
gray_images = []
for image in resized_images:
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    gray_images.append(gray_image)

# 转换为一维数组
flatten_images = []
for image in gray_images:
    flatten_image = image.flatten()
    flatten_images.append(flatten_image)

# 创建空的DataFrame对象
df = pd.DataFrame()

# 将每个图像的一维数组添加到DataFrame中作为一行
for i, image in enumerate(flatten_images):
    df.loc[i] = image

# 保存为csv文件
csv_file = 'path/to/output/csv/file.csv'
df.to_csv(csv_file, index=False)