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Merge pull request avinashkranjan#529 from satyampgt4/master

Invisibility_Cloak is added

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	`1`	`+import cv2`
	`2`	`+import numpy as np`
	`3`	`+import time`
	`4`	`+`
	`5`	`+print("!! Invisibility is no more a Dream !!")`
	`6`	`+`
	`7`	`+cap = cv2.VideoCapture(0)`
	`8`	`+time.sleep(3)`
	`9`	`+background=0`
	`10`	`+for i in range(20):`
	`11`	`+ ret,background = cap.read()`
	`12`	`+`
	`13`	`+background = np.flip(background,axis=1)`
	`14`	`+`
	`15`	`+while(cap.isOpened()):`
	`16`	`+ ret, img = cap.read()`
	`17`	`+`
	`18`	`+ img = np.flip(img,axis=1)`
	`19`	`+`
	`20`	`+ hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)`
	`21`	`+ value = (35, 35)`
	`22`	`+ blurred = cv2.GaussianBlur(hsv, value,0)`
	`23`	`+`
	`24`	`+ low_red1 = np.array([0,120,70])`
	`25`	`+ low_red2 = np.array([170,120,70])`
	`26`	`+`
	`27`	`+ up_red1 = np.array([10,255,255])`
	`28`	`+ up_red2 = np.array([180,255,255])`
	`29`	`+`
	`30`	`+ cloak = cv2.inRange(hsv,low_red1,up_red1) + cv2.inRange(hsv,low_red2,up_red2)`
	`31`	`+ cloak = cv2.morphologyEx(cloak, cv2.MORPH_OPEN, np.ones((5,5),np.uint8))`
	`32`	`+`
	`33`	`+ img[np.where(cloak==255)] = background[np.where(cloak==255)]`
	`34`	`+ cv2.imshow('Display',img)`
	`35`	`+ k = cv2.waitKey(10)`
	`36`	`+ if k == 27:`
	`37`	`+ break;`
	`38`	`+`
	`39`	`+cap.release()`
	`40`	`+cv2.destroyAllWindows()`

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	`1`	`+<h1 align="center">Invisibility Cloak</h1>`
	`2`	`+An invisibility cloak is a magical garment which renders whomever or whatever it covers invisible`
	`3`	`+<br>`
	`4`	`+In this project we create an invisibility cloak using python`
	`5`	`+`
	`6`	`+---------------------------------------------------------------------`
	`7`	`+`
	`8`	`+## Modules Used`
	`9`	`+- time`
	`10`	`+- OpenCv`
	`11`	`+- numpy`
	`12`	`+`
	`13`	`+## How it works`
	`14`	`+`
	`15`	`+- Capture and store static the background frame`
	`16`	`+- Capture current frames and convert image into HSV colour space`
	`17`	`+- Detect the defined color (red in our case) using color detection.`
	`18`	`+- Segment out the color by generating cloak`
	`19`	`+- Generate the final output by replacing cloak with background to create a resulting frame.`

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