Raised-Finger-Counter-With-MediaPipe

🧐 I. Overview

This is a computer vision-based raised finger counter program that utilizes the MediaPipe library to identify hand landmarks and extract relevant information to count the number of raised fingers in a live webcam feed.

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📦 II. Dependencies

• OpenCV - an open-source computer vision library known for its use in image processing and computer vision projects.
• MediaPipe - a popular open-source library for building applications with perception features (vision, natural language, and audio) using pre-trained machine learning models.

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🛠️ III. How to Use?

Method 1: Cloning

1. Clone this repository

Paste this command on your terminal:

git clone https://github.com/m3mentomor1/Raised-Finger-Counter-With-MediaPipe.git

2. Go to the repository's main directory

Paste this command on your terminal:

cd Raised-Finger-Counter-With-MediaPipe

3. Install dependencies

Paste this command on your terminal:

pip install -r requirements.txt

Method 2: Forking

Click the 'Fork' button at the top right corner of this page to create a copy of this repository in your GitHub account.