Opencv arithmetics operation

Input
import numpy as np
import cv2

path2=r"E:\picture\prac_deep\dd.jpg"
path3=r"E:\picture\prac_deep\road.jfif"

img=cv2.imread(path2)
img2=cv2.imread(path3)

img=cv2.resize(img,(800,700))
img2=cv2.resize(img2,(800,700))

cv2.imshow("my image 1",img)

M=np.ones(img.shape,dtype="uint8")*150
'''
Here we created a ones matrix and multiply with 150. It means here each cell contains a value of 150. So we can use this M matrix as an image channel because its size and dtype is equal to the main image.
Next, we will add, multiply or subtract this channel with the image.
'''

#Let's perform addition
Add1=cv2.add(img,M)
cv2.imshow("my image 2",Add1)

#Let's perform subtraction
Subtract1=cv2.subtract(img,M)
cv2.imshow("my image 3",Subtract1)

#Let's perform multiplication
Multiply1=cv2.multiply(img,M)
cv2.imshow("my image 4",Multiply1)

#Let's add two different images
Add2=cv2.add(img,img2)
cv2.imshow("my image 5",Add2)

#Let's subtract two different images
Subtract2=cv2.subtract(img,img2)
cv2.imshow("my image 6",Subtract2)

#Let's multiply two different images
Multiply3=cv2.multiply(img,img2)
cv2.imshow("my image 7",Multiply3)

ex4=img-img2
cv2.imshow("my image 8",ex4)

ex5=img+img2
cv2.imshow("my image 9",ex4)

ex6=img*img2
cv2.imshow("my image 10",ex4)

cv2.waitKey(0)
cv2.destroyAllWindows()
Output

Input
import numpy as np
import cv2

Square=np.zeros((300,300),np.uint8)
'''
Here we created a square matrix each pixel's value is 0. It means black. It is square because the size is 300,300 and the data type is uint8.
'''
cv2.rectangle(Square,(50,50),(250,250),255,-1)
cv2.imshow("square",Square)
'''
Here we want to create a square image where each pixel value is 0 means black and inside that square black image we want to create a white rectangle inside that black image. Here 50,50 and 250,250 is the size and position of the square, 255 is the for white color and -1 is thickness. The thickness value is -1 because we want to fill the shape.
'''

Ellipse=np.zeros((300,300),np.uint8)
cv2.ellipse(Ellipse,(150,150),(150,150),30,0,180,255,-1)
cv2.imshow("square",Ellipse)

And=cv2.bitwise_and(square,ellipse)
cv2.imshow("And",And)

Or=cv2.bitwise_or(square,ellipse)
cv2.imshow("Or",Or)

Xor=cv2.bitwise_xor(square,ellipse)
cv2.imshow("Xor",Xor)

Not=cv2.bitwise_not(square)
cv2.imshow("Not",Not)

cv2.waitKey(0)
cv2.destroyAllWindows()
Output