Sign_intrepreter / QUICKSTART.md
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A newer version of the Streamlit SDK is available: 1.67.0

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πŸš€ Quick Start Guide - Sign Language Interpreter

This guide will help you get started with the Sign Language Interpreter system quickly.

πŸ“‹ Prerequisites

  • Python 3.8 or higher
  • Webcam
  • Git (optional)

πŸ› οΈ Installation

  1. Setup Environment
# Clone repository (if using git)
git clone https://github.com/yourusername/sign-language-interpreter.git
cd sign-language-interpreter

# Create virtual environment
python -m venv venv

# Activate virtual environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

# Run setup script
python setup.py

🎯 Using the Application

1. Quick Demo

To try the system with a pre-trained model:

streamlit run app.py

This will launch the web interface where you can:

  • Adjust confidence threshold
  • Toggle hand landmark visualization
  • See real-time sign language interpretation

2. Collect Your Own Data

To create a custom dataset:

python data_collection.py

Follow the on-screen instructions to:

  • Choose signs to collect
  • Record sequences of hand gestures
  • Save data for training

3. Train Custom Model

To train a model on your collected data:

python train_model.py

This will:

  • Load your collected dataset
  • Train a new model
  • Save the trained model
  • Generate performance metrics

πŸ” Troubleshooting

  1. Camera not working?

    • Check if another application is using the camera
    • Ensure camera permissions are granted
    • Try closing and reopening the application
  2. Poor recognition?

    • Ensure good lighting
    • Keep hands within camera frame
    • Try adjusting the confidence threshold
    • Collect more training data
  3. Installation issues?

    • Check Python version: python --version
    • Update pip: python -m pip install --upgrade pip
    • Install requirements manually: pip install -r requirements.txt

πŸ“š Additional Resources

  • Check README.md for detailed documentation
  • View example signs in examples/ directory
  • See training tips in docs/training_guide.md

πŸ†˜ Need Help?

πŸ”„ Updates

To update the application:

git pull  # If using git
pip install -r requirements.txt  # Update dependencies

πŸ“ Notes

  • The system works best in well-lit environments
  • Position yourself 2-3 feet from the camera
  • Keep your hand gestures clear and deliberate
  • Practice with the sample signs first