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from __future__ import print_function
import cv2 as cv
import argparse
## [Load image]
parser = argparse.ArgumentParser(description='Code for Histogram Equalization tutorial.')
parser.add_argument('--input', help='Path to input image.', default='lena.jpg')
args = parser.parse_args()
src = cv.imread(cv.samples.findFile(args.input))
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
## [Load image]
## [Convert to grayscale]
src = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
## [Convert to grayscale]
## [Apply Histogram Equalization]
dst = cv.equalizeHist(src)
## [Apply Histogram Equalization]
## [Display results]
cv.imshow('Source image', src)
cv.imshow('Equalized Image', dst)
## [Display results]
## [Wait until user exits the program]
cv.waitKey()
## [Wait until user exits the program]
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