Sign Language Detection

This project uses a webcam to detect hand landmarks and classify hand gestures into sign language letters using a pre-trained model.

DEMO

Watch the demo video on YouTube

Requirements

• Python 3.x
• OpenCV
• TensorFlow
• MediaPipe

Installation

1. Clone the repository:

   git clone https://github.com/Eshan276/sign_lang_Det.git
   cd sign_lang_Det

2. Install the required packages:

   pip install -r requirements.txt

3. Download the pre-trained model and place it in the [models] directory.

Usage

1. Run the cls2.py script:

   python cls2.py

2. The webcam will start, and the program will detect hand landmarks and classify the hand gestures into sign language letters.

3. Press q to quit the program.

Files

• landmarker.py: Contains the Landmarker class for detecting hand landmarks.
• cls2.py: Contains the Classifier class for classifying hand gestures and the main script to run the program.
• models: Directory containing the pre-trained models.
• requirements.txt: List of required packages.

License

This project is licensed under the MIT License. See the LICENSE file for details.