preprocessing_image.py

# import opencv
import cv2

# Load the input image
image = cv2.imread('D:\\CSE 1st\\Prayas.jpg')
cv2.imshow('Original', image)
cv2.waitKey(0)

# Use the cvtColor() function to grayscale the image
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()


# ---------------------------


# Import opencv
#import cv2

# Load the input image
#img = cv2.imread('C:\\Documents\\full_path\\tomatoes.jpg')

# Obtain the dimensions of the image array
# using the shape method
#(row, col) = img.shape[0:2]

# Take the average of pixel values of the BGR Channels
# to convert the colored image to grayscale image
#for i in range(row):
#	for j in range(col):
		# Find the average of the BGR pixel values
#		img[i, j] = sum(img[i, j]) * 0.33

#cv2.imshow('Grayscale Image', img)
#cv2.waitKey(0)

# Window shown waits for any key pressing event
#cv2.destroyAllWindows()