Code gathered from multiple tutorials

invisibility.py

import cv2
import numpy as np
import time

cap = cv2.VideoCapture(0)
time.sleep(1)
background = 0
for i in range(30):
    ret, background = cap.read()

background = np.flip(background, axis=1)


fourcc = cv2.VideoWriter_fourcc(*'XVID')

result = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480))

while (cap.isOpened()):
    ret, img = cap.read()

    # Flipping the image
    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
    result.write(img)