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