rahim42324

# defining Class
class university:
  pass

rahim42324

import cv2 
import numpy as np 
  
image = cv2.imread('image.png') 
  
# Store height and width of the image 
height, width = image.shape[:2] 
  
quarter_height = height / 4
quarter_width =  width / 4

rahim42324

import cv2 
#to read the image 
img = cv2.imread("image.png") 
#Saving the image 
cv2.imwrite("new.jpg", img) 
 

rahim42324

import cv2 
#to read the image 
img = cv2.imread("image.png") 
#Saving the image 
cv2.imwrite("new.jpg", img) 
 

rahim42324

import cv2 
#reading the image
img = cv2.imread('image.png')
#displaying image
cv2.imshow('image', img) 
#wait and destroy
cv2.waitKey(0) 
cv2.destoryAllWindows() 

rahim42324

import cv2
#reading image
img=imread("image.png")

rahim42324

import numpy as np 
import cv2 
  
# Open the image. 
img = cv2.imread('damaged.png') 
  
# Load the mask. 
mask = cv2.imread('mask.png', 0) 
  
# Inpaint. 

rahim42324

import cv2  
import numpy as np  
  
image1 = cv2.imread('image.png')  
  
# cv2.cvtColor is applied over the 
# image input with applied parameters 
# to convert the image in grayscale  
img = cv2.cvtColor(image1, cv2.COLOR_BGR2GRAY) 
  

rahim42324

import cv2 
import numpy as np 
 
# Read image from disk. 
img = cv2.imread('cat.png') 
  
# Canny edge detection. 
edges = cv2.Canny(img, 100, 200) 
  
# Write image back to disk. 

rahim42324

import cv2  
   
image = cv2.imread('python.png') 
   
window_name = 'Image'
  
# Using cv2.copyMakeBorder() method 
image = cv2.copyMakeBorder(image, 10, 10, 10, 10, cv2.BORDER_CONSTANT) 
  
cv2.imshow(window_name, image)