Computer Vision Projects using MediaPipe and OpenCV

This repository contains a collection of computer vision implementations focusing on body pose detection, hand tracking, face detection, and facial mesh tracking.

🚀 Features

• Hand Tracking: Detects hands and tracks 21 individual hand landmarks.
• Body Pose Detection: Tracks human body joints and poses in real-time.
• Face Mesh & Detection: High-fidelity facial landmark tracking and basic face detection.
• Applications:
  • Volume Control: Control system volume using hand gestures.
  • Finger Counter: Real-time counting of extended fingers.

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/YOUR_USERNAME/YOUR_REPO_NAME.git
   cd YOUR_REPO_NAME

2. Install the required dependencies:

   pip install -r requirements.txt

💻 Usage

You can run the following scripts to see the demos in action:

• Hand Tracking: python hand_tracking.py
• Body Pose Detection: python body_poseDetection.py
• Volume Control: python volumeHandControl.py
• Finger Counting: python fingerCounter.py

📦 Project Structure

• bodyPose_module.py, handTrack_module.py, faceDetection_module.py, faceMesh_module.py: Core detection modules.
• volumeHandControl.py, fingerCounter.py, etc.: Application scripts implementing specific features.