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MediaPipe Hand Gesture Recognition

Requirements

  • Raspberry Pi 4 / 5 or Windows laptop/PC
  • MIPI camera or USB webcam
  • Operating system:
    • Rasbian Bookworm
    • Windows 10 and above

Steps to Install & Run

Installation Steps for Raspberry Pi 4 / 5

Before proceeding, verify that your Raspberry Pi has Python 3 installed by running:

python --version

Expected output:

Python 3.11.2 or Python 3.x.x

If Python is not installed, install it using:

sudo apt-get install python3

Step 1: Install Git

sudo apt-get install git

Step 2: Clone the Repository

git clone /~https://github.com/Deepanys/Mediapipe_handgesture.git

Step 3: Navigate to the Project Directory

cd Mediapipe_handgesture

Step 4: Create a Virtual Environment

python -m venv MediaPipe

Step 5: Activate the Virtual Environment

source MediaPipe/bin/activate

Step 6: Install Required Dependencies

pip install -r requirements.txt

Running the Face and Hand Detection Script on Raspberry Pi

Step 1: Navigate to the Project Directory

cd Mediapipe_handgesture

Step 2: Activate the Virtual Environment

source MediaPipe/bin/activate

Step 3: Run the Script

python TrackFace_findGesture.py

Installation Steps for Windows

Before proceeding, verify that Python 3 is installed by running:

python --version

Expected output:

Python 3.11.2 or Python 3.x.x

If Python is not installed, download and install it from "Windows Store" or Python Official Website. Ensure you check the option to add Python to PATH during installation.

Step 1: Install Git

Download and install Git from Git for Windows.

Step 2: Clone the Repository

git clone https://github.com/Deepanys/Mediapipe_handgesture.git

Step 3: Navigate to the Project Directory

cd Mediapipe_handgesture

Step 4: Create a Virtual Environment

python -m venv MediaPipe

Step 5: Activate the Virtual Environment

MediaPipe\Scripts\activate

Step 6: Install Required Dependencies

pip install -r requirements.txt

Running the Face and Hand Detection Script on Windows

Step 1: Navigate to the Project Directory

cd Mediapipe_handgesture

Step 2: Activate the Virtual Environment

MediaPipe\Scripts\activate

Step 3: Run the Script

python TrackFace_findGesture.py

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Face detection & Hand land mark detection using mediapipe

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