# -*- coding:utf-8 -*-
 
import matplotlib.pyplot as plt
import pylab
import cv2
import numpy as np
 
img = plt.imread("1.png")      #在这里读取图片
 
#plt.imshow(img)          #显示读取的图片
#pylab.show()
 
print "start processing..."
 
for i in range(1,200):
# fil = np.random.randint(0, 10, size=[3, 3])
 fil = -1 + 2*np.random.random((3,3))
 
 res = cv2.filter2D(img,-1,fil)      #使用opencv的卷积函数
 
# plt.imshow(res)          #显示卷积后的图片
 pic_name = str(i) + ".png"
# plt.imsave(pic_name, res)
# plt.imsave("res.jpg",res)
# pylab.show()
print "complete!"