In [1]:

    

import numpy as np
from PIL import Image


    

In [2]:

    

src1 = np.array(Image.open('data/src/lena.jpg'))
src2 = np.array(Image.open('data/src/rocket.jpg').resize(src1.shape[1::-1], Image.BILINEAR))


    

In [3]:

    

mask1 = np.array(Image.open('data/src/gradation_h.jpg').resize(src1.shape[1::-1], Image.BILINEAR))


    

In [4]:

    

mask1 = mask1 / 255


    

In [5]:

    

dst = src1 * mask1 + src2 * (1 - mask1)


    

In [6]:

    

Image.fromarray(dst.astype(np.uint8)).save('data/dst/numpy_image_ab_grad.jpg')


    

In [7]:

    

mask2 = np.array(Image.open('data/src/horse_r.png').resize(src1.shape[1::-1], Image.BILINEAR))


    

In [8]:

    

mask2 = mask2 / 255


    

In [9]:

    

dst = (src1 * mask1 + src2 * (1 - mask1)) * mask2


    

In [10]:

    

Image.fromarray(dst.astype(np.uint8)).save('data/dst/numpy_image_ab_mask_grad.jpg')