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This is a open source application for community event based voting using OpenCV for card recognition at the FARM Cafe in Boone NC.

Python 98.35% PowerShell 0.02% Shell 0.01% Cython 0.27% C 1.00% C++ 0.23% Meson 0.01% Fortran 0.08% Forth 0.01% Pascal 0.01% Smarty 0.02%

farmprocessor's Introduction

FarmProcessor

Description

Table of Contents

Features

  • OpenCV Integration: Utilizes OpenCV for accurate card recognition.
  • OCR for Text Extraction: Leverages Tesseract OCR to extract scores and comments from voting cards.
  • Excel Export: Saves the extracted data to an Excel file for easy analysis.
  • User-friendly Interface: Simple and intuitive interface for ease of use at community events.
  • Open Source: Available for contributions and modifications by the community.

Installation

Usage

Example Command

Contributing

License

Acknowledgements


Additional Instructions

  1. Create a requirements.txt File: Ensure you have a requirements.txt file with all necessary dependencies listed:

    opencv-python-headless
    pytesseract
    pandas
    
  2. Organize Your Repository:

    • main.py: Main script to run the application.
    • README.md: The outline provided above.
    • LICENSE: License file for the project.
    • requirements.txt: Dependencies for the project.
  3. Provide Sample Data:

    • Include a folder with sample voting card images to help users test the application.

farmprocessor's People

Contributors

sagejames avatar

Watchers

Kostas Georgiou avatar  avatar

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