import cv2
import numpy as np

img = cv2.imread("./test.png")
Gaussian_blur = cv2.GaussianBlur(img, (5, 5), 0)
cv2.GaussianBlur()
ave_blur = cv2.blur(img, (5,5))

merged = np.hstack((img, Gaussian_blur, ave_blur))

while True:
    cv2.imshow("Merged", merged)

    key = cv2.waitKey(0)

    if key == 27:
        break

cv2.destroyAllWindows()
6bab302fd787abce2504bd85a5fd6543d4ec4f84
<mask token>

<mask token>
cv2.GaussianBlur()
<mask token>
while True:
    cv2.imshow('Merged', merged)
    key = cv2.waitKey(0)
    if key == 27:
        break
cv2.destroyAllWindows()

<mask token>
img = cv2.imread('./test.png')
Gaussian_blur = cv2.GaussianBlur(img, (5, 5), 0)
cv2.GaussianBlur()
ave_blur = cv2.blur(img, (5, 5))
merged = np.hstack((img, Gaussian_blur, ave_blur))
while True:
    cv2.imshow('Merged', merged)
    key = cv2.waitKey(0)
    if key == 27:
        break
cv2.destroyAllWindows()

import cv2
import numpy as np
img = cv2.imread('./test.png')
Gaussian_blur = cv2.GaussianBlur(img, (5, 5), 0)
cv2.GaussianBlur()
ave_blur = cv2.blur(img, (5, 5))
merged = np.hstack((img, Gaussian_blur, ave_blur))
while True:
    cv2.imshow('Merged', merged)
    key = cv2.waitKey(0)
    if key == 27:
        break
cv2.destroyAllWindows()

import cv2
import numpy as np

img = cv2.imread("./test.png")
Gaussian_blur = cv2.GaussianBlur(img, (5, 5), 0)
cv2.GaussianBlur()
ave_blur = cv2.blur(img, (5,5))

merged = np.hstack((img, Gaussian_blur, ave_blur))

while True:
    cv2.imshow("Merged", merged)

    key = cv2.waitKey(0)

    if key == 27:
        break

cv2.destroyAllWindows()