About The Project

This is a simple library for tracking objects of various sizes base on their colour

Uses of this project:

• Get color object coordinates on the screen or camera device
• Real time coordinated of moving color object on the screen or camera
• Detect presence of different colors

Built With

This library is bult using python

• Python

Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• Numpy

  pip install numpy

• Open CV

  pip install cv2

Usage

If the video source is Camera

import Camera as cr



pointer=cr.ColorTracker()

pointer.set_window(640,480)               #Set camera window size windth and Height default 640 ,480
pointer.set_hue(20,160)                   #set minimum and maximum hue  default  hue_min=20, hue_max=160
pointer.set_saturation(100,255)  	        #Set minimum  and Naximun  saturation default sat_min=100, sat_max=255
pointer.set_display_threshold(True)	      #Set display threshold true of false
pointer.set_value(200,256)				        # Set minimum  and Naximun  saturation values val_min=200, val_max=256

pointer.run()
print("hello")

If The video Source is Screen

import screen as cr


pointer=cr.ColorTracker()

pointer.set_window(640,480)                     #Set camera window size windth and Height default 640 ,480
pointer.set_hue(20,160)                         #set minimum and maximum hue  default  hue_min=20, hue_max=160
pointer.set_saturation(100,255)  	              #Set minimum  and Naximun  saturation default sat_min=100, sat_max=255
pointer.set_display_threshold(True)	            #Set display threshold true of false
pointer.set_value(200,256)

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Your contribution is greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Project Link: https://github.com/laisonmarko/nukta