maulvi-zm/Learn_OCR

Setup

1. Create and activate the virtual environment:

   python -m venv venv          # Create a virtual environment

   On Windows:

   .\venv\Scripts\activate     # Activate the virtual environment

   On Unix or MacOS:

   source venv/bin/activate    # Activate the virtual environment

2. Install project dependencies:

   pip install -r requirements.txt

Usage

1. Place your images in the images/ folder.

2. Run the text detection script:

   python src/main.py

3. View the detected text in the terminal output.

Notes

• Adjust Tesseract configurations and preprocessing steps in main.py based on your image characteristics.
• Explore additional libraries or methods for more advanced text detection scenarios.

Contributors

• [Your Name]
• [Contributor 2]
• ...

License

This project is licensed under the MIT License.