In [1]:

    

from PIL import Image
import numpy as np


    

In [2]:

    

im = np.array(Image.open('data/src/lena_square.png'))


    

In [3]:

    

im_R = im.copy()
im_R[:, :, (1, 2)] = 0
im_G = im.copy()
im_G[:, :, (0, 2)] = 0
im_B = im.copy()
im_B[:, :, (0, 1)] = 0


    

In [4]:

    

# 横に並べて結合（どれでもよい）
im_RGB = np.concatenate((im_R, im_G, im_B), axis=1)
# im_RGB = np.hstack((im_R, im_G, im_B))
# im_RGB = np.c_['1', im_R, im_G, im_B]


    

In [5]:

    

pil_img_RGB = Image.fromarray(im_RGB)
pil_img_RGB.save('data/dst/lena_numpy_split_color.jpg')


    

In [6]:

    

im_gray = 0.299 * im[:, :, 0] + 0.587 * im[:, :, 1] + 0.114 * im[:, :, 2]


    

In [7]:

    

print(im.dtype)
print(im_gray.dtype)


    

    




uint8
float64

In [8]:

    

print(im.shape)
print(im_gray.shape)


    

    




(512, 512, 3)
(512, 512)

In [9]:

    

pil_img_gray = Image.fromarray(np.uint8(im_gray))
pil_img_gray.save('data/dst/lena_numpy_gray.jpg')


    

In [10]:

    

im_swap = im.copy()
im_swap[:, :, 0], im_swap[:, :, 2] = im[:, :, 2], im[:, :, 0]


    

In [11]:

    

pil_img_swap = Image.fromarray(im_swap)
pil_img_swap.save('data/dst/lena_numpy_swap_color.jpg')