Python | Grayscaling of Images using OpenCV

Grayscaling is the process of converting an image from other color spaces e.g RGB, CMYK, HSV, etc. to shades of gray. It varies between complete black and complete white.

Importance of grayscaling –

Below is the code to Grayscale an image-

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# importing opencv
import cv2
  
# Load our input image
image = cv2.imread('C:\\Documents\\full_path\\tomatoes.jpg')
cv2.imshow('Original', image)
cv2.waitKey()
  
# We use cvtColor, to convert to grayscale
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
  
cv2.imshow('Grayscale', gray_image)
cv2.waitKey(0)  
  
# window shown waits for any key pressing event
cv2.destroyAllWindows()
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Input image:

Output:

 
Faster code –

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# Faster method
import cv2
  
# The second argument zero specifies that
# image is to be read in grayscale mode.
img = cv2.imread('C:\\Documents\\full_path\\tomatoes.jpg', 0)  
  
cv2.imshow('Grayscale', img)
cv2.waitKey()
  
cv2.destroyAllWindows()
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