zdaiot

import matplotlib.image as mpimg
import numpy as np
import cv2

path = '../demo/'
image_names = 'A_three_test.png'
img = cv2.imread(path + image_names)

new_img = img[:,40:1240]
new_img = np.lib.pad(new_img, ((47,47),(0,0),(0,0)),  'constant', constant_values=(0,0))

# new_img = np.resize(img, (600, 1200))

img_shape = np.shape(new_img)
print img_shape, type(new_img)

size = 300
height_number = img_shape[0]/size  # 2
width_number = img_shape[1]/size  # 4

import PIL.Image as Image
toImage = Image.new('RGBA', (img_shape[1], img_shape[0]))

count = 0
for x in range(height_number):
    for y in range(width_number):
        cut_img = new_img[x*size:(x+1)*size, y*size:(y+1)*size]
        # print np.shape(cut_img)
        cv2.imwrite("%s.jpg" %(count), cut_img)
        cut_img = Image.open("%s.jpg" %(count))
        print (x * size, y * size)
        toImage.paste(cut_img, (y * size, x * size))
        cv2.imshow('img', np.array(cut_img))
        while 1:
            k = cv2.waitKey(10) & 0xff
            if k == 27:
                break
        count += 1
toImage.save('./toImage_0.jpg')
cv2.destroyAllWindows()

from itertools import product
l = [1, 2, 3]
print list(product(l, l))
print list(product(l, repeat=4))

from itertools import combinations
print list(combinations([1,2,3,4,5], 3))