In [1]:

    

import cv2
import numpy as np


    

In [2]:

    

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


    

In [3]:

    

mask = np.zeros_like(src)


    

In [4]:

    

print(mask.shape)


    

    




(225, 400, 3)

In [5]:

    

print(mask.dtype)


    

    




uint8

In [6]:

    

cv2.rectangle(mask, (50, 50), (100, 200), (255, 255, 255), thickness=-1)
cv2.circle(mask, (200, 100), 50, (255, 255, 255), thickness=-1)
cv2.fillConvexPoly(mask, np.array([[330, 50], [300, 200], [360, 150]]), (255, 255, 255))

cv2.imwrite('data/dst/opencv_draw_mask.jpg', mask)


    

    
Out[6]:





True

In [7]:

    

mask_blur = cv2.GaussianBlur(mask, (51, 51), 0)

cv2.imwrite('data/dst/opencv_draw_mask_blur.jpg', mask_blur)


    

    
Out[7]:





True

In [8]:

    

dst = src * (mask_blur / 255)


    

In [9]:

    

cv2.imwrite('data/dst/opencv_draw_mask_blur_result.jpg', dst)


    

    
Out[9]:





True