script.py

import numpy as np
import cv2

import time 

cap = cv2.VideoCapture(0)

time.sleep(15)

background = 0

#captured the background
for i in range(30):

    ret,background =cap.read()

while(cap.isOpened()):

    ret,img = cap.read()

    if not ret:
        break

    hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV) #HSB Only h depends on color

    lower_red = np.array([0,120,70])
    upper_red = np.array([10,255,255])

    mask1 = cv2.inRange(hsv,lower_red,upper_red) #seperation the cloak part

    lower_red = np.array([170,120,70])
    upper_red = np.array([180,255,255])
    mask2 = cv2.inRange(hsv,lower_red,upper_red)

    mask1 = mask1 + mask2 #OR  1 or X`

    mask1 = cv2.morphologyEx(mask1,cv2.MORPH_OPEN,np.ones((3,3),np.uint8),iterations=2)
    mask1 = cv2.morphologyEx(mask1,cv2.MORPH_DILATE,np.ones((3,3),np.uint8),iterations=1)

    mask2 = cv2.bitwise_not(mask1) #except the cloak

    res1 = cv2.bitwise_and(background,background,mask = mask1) # used for segmentation of colors
    res2 = cv2.bitwise_and(img,img,mask= mask2) #used to substitue the cloak part
    final_output = cv2.addWeighted(res1,1,res2,1,0)

    cv2.imshow('done',final_output)
    k = cv2.waitKey(10)
    if k == 27 :
        break

cap.release()
cv2.destroyAllWindows()