Invisibility_Cloak

hello guys, During this LOCKDOWN of COVID19 i was so bored at home so i started seeing harry potter series and i was so amazed seen his invisible cloak so i thought to make make for me :) As Being a harry potter fan in childhood and using an invisibility cloak are still dream of many Childrens. Well it turns out that using simple image processing tricks So this code turns a red colour cloth into an invisibility cloak :) LETS TRY :0

Requirements

• python 3.5 and above
• opencv
• numpy
• time

• It's a fun application which you will enjoy using.
• You can learn some key functions of opencv from this project.

This is how it works

This project aims to emulate an invisibility cloak like in Harry Potter.

1. Clone this project.

2. Run invisiblecloacode.py & get away from the screan so that it can record the area.

3. Now come in front of the screen when the window pop out on your desktop.

4. Grab a red cloth and Let the magic begin !!

5. Congratulations!! You are now a wizard!!

6. Press q to quit on any of the open camera windows.

Now Lets see the code:

• Install all requirement in python:

pip install opencv-contrib-python

The code has been written to recognize RED color as cloak for now.

lower_range = np.array([0,120,50])
higher_range = np.array([10,255,255])

You can change the color bound according to yourself.The color range for HSV value are available here.Saturation range is [0,255] and Value range is [0,255]. Different softwares use different scales. So if you are comparing OpenCV values with them, you need to normalize these ranges.

• Masking is one of the key features for this project:

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

The above forms a mask of the area we want to make invisible to frame-feed.

• The next task is to extract the above mask from the frame,background and foreground.

#segmenting out cloth color
mask2 = cv2.inRange(hsv,lower_red,upper_red)

Addition of the two masks to generate the final mask.
mask = mask1+mask2
# first we will do EROSION then followed by dilation 
# we can do both this step by MORPH_OPEN or by mophologyEx
# purpose being to remove white noise and to mask the red color from cloak  
mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, np.ones((5,5),np.uint8))

• This is now where the magic happens:

- Run code:- invisiblecloakcode.py