text: import cv2
  import numpy as np
  import time
  
  print(""" Sarvekash:  Hey !! Would you like to try my invisibility cloak ??
           Its awesome !!
          
           Prepare to get invisible .....................""")
  
  
  cap = cv2.VideoCapture(0)
  time.sleep(3)
  background=0
  for i in range(30):
  	ret,background = cap.read()
  
  background = np.flip(background,axis=1)
  
  while(cap.isOpened()):
  	ret, img = cap.read()
  	
  	# Flipping the image (Can be uncommented if needed)
  	img = np.flip(img,axis=1)
  	
  	# Converting image to HSV color space.
  	hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
  	value = (35, 35)
  	
  	blurred = cv2.GaussianBlur(hsv, value,0)
  	
  	# Defining lower range for red color detection.
  	lower_red = np.array([0,120,70])
  	upper_red = np.array([10,255,255])
  	mask1 = cv2.inRange(hsv,lower_red,upper_red)
  	
  	# Defining upper range for red color detection
  	lower_red = np.array([170,120,70])
  	upper_red = np.array([180,255,255])
  	mask2 = cv2.inRange(hsv,lower_red,upper_red)
  	
  	# Addition of the two masks to generate the final mask.
  	mask = mask1+mask2
  	mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, np.ones((5,5),np.uint8))
  	
  	# Replacing pixels corresponding to cloak with the background pixels.
  	img[np.where(mask==255)] = background[np.where(mask==255)]
  	cv2.imshow('Display',img)
  	k = cv2.waitKey(10)
  	if k == 27:
  		break
  