Invisible Cloak

Invisible cloak Program with python

You must watch Harry Potter Movie. In movie, Harry Potter have Invisible Cloak which is used for invisible. We will try to make same program.

For create program, we need small python code and OpenCV library.

For installing OpenCV library used below command.

Open cmd and run below command.

pip install opencv-python

I am using jupyter notebook for write python program. you can run any editor for run python.

If you use pip, you can install it with:

pip install jupyterlab

you can install notebook

pip install notebook

For run jypyter

jupyter notebook

Go to Browser and type.

http://localhost:8888/ and create new program click on new

Program Step:

• Importing OpenCV libraries and save the program result video

• Recording and caching the background.

• Detecting the assign color (RED) portion in frame which need to invisible.

• Replacing the RED color portion with a background image.

• Producing the invisible result

• close Program by using 'a'

##Invisible Cloak

##Dated 19-07-2020, Shamsher Singh

##Import cv2, time, Numpy

import cv2

import time

import numpy as np

## Output vedio location and type

fourcc = cv2.VideoWriter_fourcc(*'XVID')

out = cv2.VideoWriter('C:\Python\output.avi',fourcc,20.0, (640, 480))

##start the webcam and read

cap = cv2.VideoCapture(0)

## Allow the system to sleep for 5 seconds before the webcam starts

time.sleep(5)

count = 0

background = 0

## Save the background

for i in range(60):

ret,background = cap.read()

background = np.flip(background,axis=1)

## Read frame from the webcam, until the camera is open

while(cap.isOpened()):

ret, img = cap.read()

if not ret:

break

count+=1

img = np.flip(img,axis=1)

## Convert the color space from BGR to HSV

hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

## Generat masks to detect red color

lower_red = np.array([0,120,50])

upper_red = np.array([10,255,255])

mask1 = cv2.inRange(hsv,lower_red,upper_red)

lower_red = np.array([170,120,70])

upper_red = np.array([180,255,255])

mask2 = cv2.inRange(hsv,lower_red,upper_red)

mask1 = mask1+mask2

## Open and Delete the mask image

mask1 = cv2.morphologyEx(mask1, cv2.MORPH_OPEN, np.ones((3,3),np.uint8))

mask1 = cv2.morphologyEx(mask1, cv2.MORPH_DILATE, np.ones((3,3),np.uint8))

## Create an covered mask to segment out the red color

mask2 = cv2.bitwise_not(mask1)

## Segment the red color part out of the frame and covered mask

res1 = cv2.bitwise_and(img,img,mask=mask2)

## Create image showing static background frame pixels only for the masked region

res2 = cv2.bitwise_and(background, background, mask = mask1)

## Generating the final output and writing

finalOutput = cv2.addWeighted(res1,1,res2,1,0)

out.write(finalOutput)

cv2.imshow("Invisible Cloak",finalOutput)

# Wait for 'a' key to stop the program

if cv2.waitKey(1) & 0xFF == ord('a'):

break

cap.release()

out.release()

cv2.destroyAllWindows()

Output Video : C:\Python\output.avi