OpenCV:Convert an Image to GreyScale

The code below is commented and self explanatory. It converts all images in a folder “images>knowpapa” to its equivalent greyscale image and appends the word ‘grey’ to the original image name.

import sys
import os
import numpy as np
import cv2

def greyscale(img):
  '''Convert an image to greyscale.
  image  - a numpy array of shape (rows, columns, 3).
  output - a grey scale image which is a numpy array of shape (rows, columns) 
           containing the average of image's 3 channels. 
  image = np.uint16(img)
  avg = np.zeros((image.shape[0], image.shape[1],image.shape[2]))
  avg[:, :,0] = (image[:, :, 0] + image[:, :, 1] + image[:, :, 2])/3
  output = avg.astype(np.uint8)
  return output[:,:,0]

def main():
  '''Convert images to greyscale.

  searches for images in directory images/knowapa, and applies the grey scale 
  functiony to each image in the same directory and saves greyscaleimage for 
  each file with the word grey appended to the image

  imagesfolder = os.path.join('images', 'knowpapa')
  exts = ['.bmp', '.pbm', '.pgm', '.ppm', '.sr', '.ras', '.jpeg', '.jpg', 
    '.jpe', '.jp2', '.tiff', '.tif', '.png']
  for dirname, dirnames, filenames in os.walk(imagesfolder):
    for filename in filenames:
      name, ext = os.path.splitext(filename)
      if ext in exts and 'grey' not in name:
        img = cv2.imread(os.path.join(dirname, filename))
        greyimage = greyscale(img)
        cv2.imwrite(os.path.join(dirname, name+"grey"+ext), greyimage)

if __name__ == "__main__":

And here’s the sample input and output image


image courtesy: mengel

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