add Harry Potter Cloak script using Open-CV (#228)

* add Harry Potter Cloak script using Open-CV

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* Delete README.md

* Delete main.py

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Dhruv Bansal 2021-10-06 11:29:56 +05:30 committed by GitHub
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import cv2
import numpy
def hello(x):
print("")
if __name__=='__main__':
cap = cv2.VideoCapture(0)
bars = cv2.namedWindow("bars")
cv2.createTrackbar("upper_hue","bars",110,180,hello)
cv2.createTrackbar("upper_saturation","bars",255, 255, hello)
cv2.createTrackbar("upper_value","bars",255, 255, hello)
cv2.createTrackbar("lower_hue","bars",68,180, hello)
cv2.createTrackbar("lower_saturation","bars",55, 255, hello)
cv2.createTrackbar("lower_value","bars",54, 255, hello)
#Capturing the initial frame for creation of background
while(True):
cv2.waitKey(1000)
ret,init_frame = cap.read()
if(ret):
break
while(True):
ret,frame = cap.read()
inspect = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
#getting the HSV values for masking the cloak
upper_hue = cv2.getTrackbarPos("upper_hue", "bars")
upper_saturation = cv2.getTrackbarPos("upper_saturation", "bars")
upper_value = cv2.getTrackbarPos("upper_value", "bars")
lower_value = cv2.getTrackbarPos("lower_value","bars")
lower_hue = cv2.getTrackbarPos("lower_hue","bars")
lower_saturation = cv2.getTrackbarPos("lower_saturation","bars")
#Kernel to be used for dilation
kernel = numpy.ones((3,3),numpy.uint8)
upper_hsv = numpy.array([upper_hue,upper_saturation,upper_value])
lower_hsv = numpy.array([lower_hue,lower_saturation,lower_value])
mask = cv2.inRange(inspect, lower_hsv, upper_hsv)
mask = cv2.medianBlur(mask,3)
mask_inv = 255-mask
mask = cv2.dilate(mask,kernel,5)
#The mixing of frames in a combination to achieve the required frame
b = frame[:,:,0]
g = frame[:,:,1]
r = frame[:,:,2]
b = cv2.bitwise_and(mask_inv, b)
g = cv2.bitwise_and(mask_inv, g)
r = cv2.bitwise_and(mask_inv, r)
frame_inv = cv2.merge((b,g,r))
b = init_frame[:,:,0]
g = init_frame[:,:,1]
r = init_frame[:,:,2]
b = cv2.bitwise_and(b,mask)
g = cv2.bitwise_and(g,mask)
r = cv2.bitwise_and(r,mask)
blanket_area = cv2.merge((b,g,r))
final = cv2.bitwise_or(frame_inv, blanket_area)
cv2.imshow("Harry's Cloak",final)
if(cv2.waitKey(3) == ord('q')):
break;
cv2.destroyAllWindows()
cap.release()

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## Harry Potter Cloak using OpenCV
This is a fun python script to simulate a harry potter cloak using image masking with the help of opencv library.
It also uses the numpy library for some mathematical calculations.
Requirements: You will need Python installed on your system along with numpy and opencv library for this script to work properly.

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numpy
opencv

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@ -52,6 +52,7 @@ So far, the following projects have been integrated to this repo:
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|[Harry Potter Cloak](https://github.com/hastagAB/Awesome-Python-Scripts/tree/master/Harry-Potter-Cloak) | [thesmartdeveloperr](https://github.com/thesmartdeveloperr)|
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