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A python program which uses OpenCV to track the fingers of a person, and then executes commands if it detects a relevant

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Haz3-jolt/Finger-tracking-gestures

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Finger Tracking Commands

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Introduction

Welcome to the Finger Tracking Commands repository! This project allows you to issue commands using hand signs. It uses OpenCV to track the fingers of a person and measures the distances of two vectors to detect specific finger gestures. This project can be customized to work with various Python libraries and is suitable for a wide range of applications.

Features

  • Detect and track finger positions.
  • Measure distances between finger landmarks.
  • Recognize various finger gestures.
  • Easily customizable for different applications.

Installation

To use this project, make sure you have the following Python libraries installed:

pip install -r requirements.txt

Usage

To get started with finger tracking commands, follow these steps:

  1. Clone this repository to your local machine.
git clone https://github.com/your-username/finger-tracking-commands.git
  1. Install the required dependencies as mentioned in the Installation section.

  2. Run the Python scripts to start tracking and recognizing finger gestures.

For customization and specific usage instructions, refer to the provided documentation and code comments.

Customization

This project is highly customizable to suit your needs. You can modify the code to work with different Python libraries and integrate it into your applications. The code is well-documented and provides a foundation for creating custom finger gesture recognition systems.

Demonstration

Watch a demonstration of this project on YouTube:

Demo Video

License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

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A python program which uses OpenCV to track the fingers of a person, and then executes commands if it detects a relevant

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