inv_cloak.py

import cv2
import numpy as np #mathematical library for image handling

cap=cv2.VideoCapture(0)
background=cv2.imread('./image.jpg')

while cap.isOpened():
    ret, current_frame = cap.read()
    if ret:
        hsv_frame = cv2.cvtColor(current_frame, cv2.COLOR_BGR2HSV)

        # range for lower red
        l_red = np.array([0, 120, 70])
        u_red = np.array([10, 255, 255])
        mask1 = cv2.inRange(hsv_frame, l_red, u_red)

        #range for upper red
        l_red = np.array([170, 120, 70])
        u_red = np.array([180, 255, 255])
        mask2 = cv2.inRange(hsv_frame, l_red, u_red)

        red_mask = mask1 + mask2

        #morpphoogy function in open cv
        red_mask = cv2.morphologyEx(red_mask, cv2.MORPH_OPEN, np.ones((3, 3), np.uint8), iterations=10)
        red_mask = cv2.morphologyEx(red_mask, cv2.MORPH_DILATE, np.ones((3, 3), np.uint8), iterations=1)

    # subsituting the red portion with background image
    part1 = cv2.bitwise_and(background, background, mask=red_mask)

    # detecting things which are not red
    red_free = cv2.bitwise_not(red_mask)

    # if cloak is not present show the current image
    part2 = cv2.bitwise_and(current_frame, current_frame, mask=red_free)

    # final output
    cv2.imshow("cloak", part1 + part2)
    if cv2.waitKey(5) == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()