python小工具--将cifar10转为图像数据

"""
Created on Thu Jun 15 21:56:21 2017

@author: liao
"""
#用于将cifar10的数据可视化
import pickle as p
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as plimg
from PIL import Image
def load_CIFAR_batch(filename):
""" load single batch of cifar """
with open(filename, 'rb')as f:
#        datadict = p.load(f)
datadict = p.load(f,encoding='latin1')
X = datadict['data']
Y = datadict['labels']
X = X.reshape(10000, 3, 32, 32)
Y = np.array(Y)
return X, Y

def load_CIFAR_Labels(filename):
with open(filename, 'rb') as f:
lines = [x for x in f.readlines()]
print(lines)

if __name__ == "__main__":
load_CIFAR_Labels("./cifar-10-python/cifar-10-batches-py/batches.meta")
imgX, imgY = load_CIFAR_batch("./cifar-10-python/cifar-10-batches-py/data_batch_1")
print(imgX.shape)
print("正在保存图片:")
#    for i in range(imgX.shape[0]):
for i in range(10):#值输出10张图片，用来做演示
#        imgs = imgX[i - 1]#?
imgs = imgX[i]
img0 = imgs[0]
img1 = imgs[1]
img2 = imgs[2]
i0 = Image.fromarray(img0)#从数据，生成image对象
i1 = Image.fromarray(img1)
i2 = Image.fromarray(img2)
img = Image.merge("RGB",(i0,i1,i2))
name = "img" + str(i)+'.png'
img.save("./cifar10_images/"+name,"png")#文件夹下是RGB融合后的图像
for j in range(imgs.shape[0]):
#                img = imgs[j - 1]
img = imgs[j]
name = "img" + str(i) + str(j) + ".png"
print("正在保存图片" + name)
plimg.imsave("./cifar10_images/" + name, img)#文件夹下是RGB分离的图像

print("保存完毕.")