invisible_Cloak.py

# Import Libraries

import numpy as np

import cv2

import time
# camCount=0
#To use webcam  enter 0 and to enter the video path in dowble quotes
cap = cv2.VideoCapture(0)

time.sleep(3)       # parantheis haas two because the camera needs time to adjust it self i according to the environment(ANDHERA KAMRA)

background = 0


# Capturing the background
for i in range(60):

    ret, background = cap.read()
#capturing image
background = np.flip(background,axis=1)
while(cap.isOpened()):  #Condition for this is when only the web cam is opened  it will only run the code else the code will not run in the background without the webbcam

    ret, img = cap.read()
    if not ret:
        break
    img = np.flip(img,axis=1)
    hsv = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
    #HSV values

    #setting the values for the cloak
    lower_red = np.array([0,120,70])
    upper_red = np.array([10,255,255])

    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)

    mask1 = mask1 +mask2

    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)
    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()