Cloak.py

#importing libraries
import numpy as np
import cv2
import time

cap = cv2.VideoCapture(0)
time.sleep(2)
background = 0

#capturing the background
for i in range(50):
    ret, background = cap.read()
#capturing the video feed and converitng img/background to hsv
while(cap.isOpened()):
    ret, img = cap.read()
    if not ret:
        break
    hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
#setting the value for cloak and removing the color and making mask

    lower_red = np.array([0,120,70])
    upper_red = np.array([10,255,255]) # value is for red color cloth
    mask1 = cv2.inRange(hsv, lower_red, upper_red)
    lower_red = np.array([170,120,70])
    upper_red = np.array([180,255,255])

    mask2 = cv2.inRange(hsv, lower_red, upper_red)
    #combining the two masks so that it can be viewed as one frame
    mask1 = mask1+mask2
    #after we are done with combining we will store it in the default mask
    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)

    res1 = cv2.bitwise_and(background,background,mask=mask1)

    #basic work of bitwise_and is to combine the background and store it in res1

    res2 = cv2.bitwise_and(img,img,mask=mask2)
    final_output = cv2.addWeighted(res1,1,res2,1,0)
    cv2.imshow('Invisible cloak', final_output)
    k = cv2.waitKey(10)
    if k==27:
        break

cap.release()
cv2.destroyAllWindows()