├── README.md
└── invisibilityCloak.py


/README.md:
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 1 | # you're-a-wizard-Harry
 2 | 
 3 | this will make anything red invisible (even your...mouth), you can change the colour in the code
 4 | 
 5 | how it works
 6 | 
 7 | - type python invisibilityCloak.py in your terminal (make sure your code editor has permission to open the webcam)
 8 | - then straight away move away from webcam (it needs to take a photo if your background, give it 5 seconds)
 9 | - then if you have anything red, it will be invisible (can change colour)
10 | - if you have bluetooth on, it might connect to your phone so turn it off.
11 | - Any issues, ask your favourite LLM!
12 | 
13 | - Enjoy!
14 | 


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/invisibilityCloak.py:
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 1 | import cv2
 2 | import numpy as np
 3 | import time
 4 | 
 5 | print("""
 6 |      Your cloak is loading....
 7 |      hide from your webcam for the first 5 seconds, as it needs to capture the background (without you in it) 
 8 | """)
 9 | 
10 | # Initialize webcam
11 | video = cv2.VideoCapture(0)
12 | time.sleep(3)
13 | 
14 | # Capture static background frame
15 | bg_frame = 0
16 | for _ in range(30):
17 |     success, bg_frame = video.read()
18 | 
19 | # Flip background for mirror view
20 | bg_frame = np.flip(bg_frame, axis=1)
21 | 
22 | while video.isOpened():
23 |     success, frame = video.read()
24 |     if not success:
25 |         break
26 | 
27 |     # Flip the frame horizontally (mirror effect)
28 |     frame = np.flip(frame, axis=1)
29 | 
30 |     # Convert BGR image to HSV color space
31 |     hsv_img = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
32 | 
33 |     # Slightly smoothen the image
34 |     blurred_hsv = cv2.GaussianBlur(hsv_img, (35, 35), 0)
35 | 
36 |     # Lower red hue range, you can swap out the colour, this is set to red
37 |     red_lower_1 = np.array([0, 120, 70])
38 |     red_upper_1 = np.array([10, 255, 255])
39 |     mask_red1 = cv2.inRange(hsv_img, red_lower_1, red_upper_1)
40 | 
41 |     # Upper red hue range
42 |     red_lower_2 = np.array([170, 120, 70])
43 |     red_upper_2 = np.array([180, 255, 255])
44 |     mask_red2 = cv2.inRange(hsv_img, red_lower_2, red_upper_2)
45 | 
46 |     # Combine both red masks
47 |     full_mask = mask_red1 + mask_red2
48 | 
49 |     # Clean up noise from the mask
50 |     full_mask = cv2.morphologyEx(
51 |         full_mask, cv2.MORPH_OPEN, np.ones((5, 5), np.uint8))
52 | 
53 |     # Replace detected red areas with background
54 |     frame[np.where(full_mask == 255)] = bg_frame[np.where(full_mask == 255)]
55 | 
56 |     # Show the final output
57 |     cv2.imshow('Magic Window', frame)
58 | 
59 |     # Break loop if ESC key is pressed
60 |     if cv2.waitKey(10) == 27:
61 |         break
62 | 


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