HandTracking

A Python application that utilizes MediaPipe and OpenCV to perform real-time hand tracking using your webcam.

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Features

• Real-Time Hand Tracking: Detects and tracks hands in real-time using your webcam feed.
• Landmark Detection: Identifies 21 hand landmarks per detected hand.
• Visualization: Draws landmarks and connections on the video feed for visual feedback.
• ASL Alphabet Detection: Identifies the ASL Alphabet exluding J and Z.

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Tech Stack

• Programming Language: Python
• Libraries:
  • MediaPipe for hand tracking.
  • OpenCV for video capture and image processing.
  • TensorFlow for model.

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Setup Instructions

1. Clone the Repository:

   git clone https://github.com/joshaney324/HandTracking.git
   cd HandTracking

2. Create a Virtual Environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies: Make sure to install all required packages.

4. Run the Application:

   python src/hand_tracking.py

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Usage

• Upon running the application, a window will display the webcam feed with hand landmarks overlaid.
• Press q to exit the application.

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Project Structure

HandTracking/
├── data/
├── src/
│   └── base_hand_tracking/
|   └── ASL_alphabet_detection/
└── README.md

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Contact

Josh Aney
GitHub: @joshaney324
Email: josh.aney@icloud.com