caffe中运行mnist

mnist样本字库嘚图片转换：
# coding=utf-8
import numpy as np
import struct 
import matplotlib.pyplot as plt 
from PIL import Image 
#/home/sys/data/mnist/
filename = 't10k-images-idx3-ubyte'
binfile = open(filename,'rb') 
buf = binfile.read() 
index = 0 
magic,numImages,numRows,numColumns = struct.unpack_from('>IIII',buf,index) 
index += struct.calcsize('>IIII') 
for image in range(0,numImages):
    im = struct.unpack_from('>784B',buf,index) #读一个图片 
    index +=struct.calcsize('>784B') 
    im = np.array(im,dtype = 'uint8') 
    im = im.reshape(28,28) #像素大小 # 
    #fig = plt.figure() 
# plotwindow = fig.add_subplot(111)
 # plt.imshow(im,cmap = 'gray') 
# plt.show() 
    im = Image.fromarray(im) 
    im.save('mnist_test/train_%s.bmp'%image,'bmp') #保存转换后的图片格式