-
Notifications
You must be signed in to change notification settings - Fork 2k
/
Copy pathinvisible_cloak.py
63 lines (42 loc) · 1.33 KB
/
invisible_cloak.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
#import libraries
import numpy as np
import cv2
import time
cap = cv2.VideoCapture(0)
#time to adjust camera
time.sleep(5)
#background image display when cloak on myself
background = 0
#capturing the background
for i in range(50):
ret, background = cap.read()
#code is running until webcam is not off
while(cap.isOpened()):
ret, img = cap.read()
if not ret:
break
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
#HSV values
lower_red = np.array([0,50,50])
upper_red = np.array([10,255,255])
#seprating the cloak part
mask1 = cv2.inRange(hsv, lower_red, upper_red)
lower_red = np.array([170, 70, 50])
upper_red = np.array([180, 255, 255])
mask2 = cv2.inRange(hsv, lower_red, upper_red)
#OR
mask1 = mask1 + mask2
mask1 = cv2.morphologyEx(mask1, cv2.MORPH_OPEN,
np.ones((3,3), np.uint8), iterations=10) #noise removal
mask1 = cv2.morphologyEx(mask1, cv2.MORPH_DILATE,
np.ones((3,3), np.uint8), iterations=10)
mask2 = cv2.bitwise_not(mask1)#except the cloak
res1 = cv2.bitwise_and(background, background, mask=mask1)#used for segmentation of color
res2 = cv2.bitwise_and(img, img, mask=mask2)#used to substitute the cloak part
final_output = cv2.addWeighted(res1, 1, res2, 1, 0)
cv2.imshow('Welcome To Hogwarts!!',final_output)
k= cv2.waitKey(10)
if k == 27:
break
cap.release()
cv2.destroyAllWindows()