# This util is just used for Display purpose

import cv2

from matplotlib import pyplot as plt

images = [cv2.cvtColor(cv2.imread('grouped_workers.png'), cv2.COLOR_BGR2RGB),

cv2.cvtColor(cv2.imread('web_services.png'), cv2.COLOR_BGR2RGB)]

image_names = ['grouped_workers', 'web_services']

def display(images, image_names, fig_zize):

num_images = len(images) # Maximum number of images to display

num_cols = 2 # Number of columns in display

num_rows = num_images//num_cols # Number of rows in display

plt.figure(figsize=(fig_zize*2, fig_zize*num_cols))

for i in range(num_rows*num_cols):

plt.subplot(num_rows, num_cols, i+1)

plt.imshow(images[i], cmap='gray')

plt.title(image_names[i], size=12)

plt.axis('off')