Skip to content

pirateksh/invisible-cloak

Repository files navigation

Invisible Cloak

Get invisible using a magical cloak just like in Harry Potter Movies.

Description

This is a simple yet very intriguing project made by Image Processing using OpenCV and Numpy. It is implemented using 2 methods :

  • Command Line Tool
  • GUI tool

What actually (roughly) happens behind the scene?

  • Camera captures inital background image for about 2 seconds.
  • A color is chosen for processing.
  • Real time Video Frames are captured and converted from BGR color space to HSV/HSB color space.
  • It is then processed and all occurance of eariler chosen color (red) is replaced by the initial background image which we have captured earlier.
  • For this a HSV/HSB range is defined which is to be replaced. For red colour, Hue(H) = 0 - 10 and 160 - 180, Saturation(S) = 120 - 255 and Brightness(B) = 70 - 255. For Blue colour, Hue(H) = 94 - 126, Saturation(S) = 80 - 255 and Brightness(B) = 2 - 255. For Green colour, Hue(H) = 25 - 102, Saturation(S) = 52 - 255 and Brightness(B) = 72 - 255.
  • For CLI Tool - Argument parser is used to obtain the color argument from the command line and then it hides that color from the camera feed.
  • For GUI Tool - Tkinter is used to create the GUI application which includes a dropdown list for colors to chose and appropriate buttons to start and stop camer. Also Harry Potter theme is used as background image and music.

How to run locally?

Libraries Used

  • OpenCV
  • Numpy
  • Pygame
  • Tkinter
  • Pillow

Setup Guide

  • Clone the repository - git clone https://github.com/pirateksh/invisible-cloak.git
  • Change directory to invisible-cloak cd invisible-cloak
  • Install relevant libraries - pip install opencv-python numpy pygame tk Pillow
  • Run python stream.py -c <color_of_cloak> if you want to run CLI tool
  • Run python desktop_gui.py if you want to run GUI tool.

Screenshot

Screenshot

About

This is a simple yet very intriguing project made by Image Processing using OpenCV and Numpy.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •  

Languages