Invisible cloak programme using opencv

general/Invisible_Cloak/README.md

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+To run this : 
+
+•	 pip3 install -r requirements.txt
+
+  After running this programme
+
+•	Your webcam is open on a new window
+
+•	It needs to capture background and save as image (so after running you need to stay beside your webcam so that it will easily capture background for 5 second)
+
+•	After that when you come in front of webcam with red cloth or any red color thing it become transparent in webcam

general/Invisible_Cloak/invisible_cloak.py

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+#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()
+
+

general/Invisible_Cloak/requirements.txt

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+numpy
+opencv-python