In [1]:

    

import cv2
import numpy as np
from PIL import Image


    

In [2]:

    

im_cv = cv2.imread('data/src/lena.jpg')


    

In [3]:

    

cv2.imwrite('data/dst/lena_bgr_cv.jpg', im_cv)


    

    
Out[3]:





True

In [4]:

    

pil_img = Image.fromarray(im_cv)
pil_img.save('data/dst/lena_bgr_pillow.jpg')


    

In [5]:

    

im_rgb = cv2.cvtColor(im_cv, cv2.COLOR_BGR2RGB)


    

In [6]:

    

Image.fromarray(im_rgb).save('data/dst/lena_rgb_pillow.jpg')


    

In [7]:

    

cv2.imwrite('data/dst/lena_rgb_cv.jpg', im_rgb)


    

    
Out[7]:





True

In [8]:

    

im_pillow = np.array(Image.open('data/src/lena.jpg'))


    

In [9]:

    

im_bgr = cv2.cvtColor(im_pillow, cv2.COLOR_RGB2BGR)


    

In [10]:

    

cv2.imwrite('data/dst/lena_bgr_cv_2.jpg', im_bgr)


    

    
Out[10]:





True

In [11]:

    

im_bgr = cv2.imread('data/src/lena.jpg')


    

In [12]:

    

im_rgb = im_bgr[:, :, [2, 1, 0]]
Image.fromarray(im_rgb).save('data/dst/lena_swap.jpg')


    

In [13]:

    

im_rgb = im_bgr[:, :, ::-1]
Image.fromarray(im_rgb).save('data/dst/lena_swap_2.jpg')