加载图像并打乱顺序

import tensorflow as tf
import os
from matplotlib import pyplot as plt
import numpy as np
from sklearn.utils import shuffle
import skimage.io as io
def load_sample(sample_dir):
    lfilenames = []
    labelsnames = []
    for (dirpath, dirnames, filenames) in os.walk(sample_dir):#递归遍历文件夹
        for filename in filenames:                            #遍历所有文件名
            #print(dirnames)
            filename_path = os.sep.join([dirpath, filename])
            img=io.imread(filename_path);
            lfilenames.append(img)               #添加文件名
            labelsnames.append( dirpath.split('\')[-1] )#添加文件名对应的标签
    return  shuffle(lfilenames,labelsnames)
data_dir = 'F:\python\mnist_digits_images' #定义文件路径
image,label= load_sample(data_dir)   #载入文件名称与标签