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.
- 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.
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.