Harry Potter Invisible Cloak Using Python

1. Imported libraries

2. Captured the background for 3 seconds and saved it in a variable.

3. Captured the video feed and converted it to HSV

4. Setting value for red color and then made a mask for it

5. Combining two layers/masks so that it can be viewed as one frame

6. After combining we will store it in default mask

The code for the following is

 #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()