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Open Source Computer Vision Library
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README.md

OpenCV: Open Source Computer Vision Library

Welcome to OpenCV, an open-source library for computer vision and machine learning. This README will guide you through essential resources, community guidelines, and contribution instructions.

Getting Started

  • Homepage: opencv.org
    Explore a wide range of OpenCV functionalities, tutorials, and updates.
  • Documentation: OpenCV Docs
    Detailed documentation for developers across multiple languages.
  • Courses: OpenCV Courses
    Enhance your understanding with free and paid courses.
  • Q&A Forum:
  • Issue Tracking: GitHub Issues
    Track and report issues, suggest features, or contribute fixes.
  • Extended Functionality: OpenCV Contrib
    Explore additional modules for even more computer vision tools.

Community Resources

Want to volunteer? Apply Here to help organize events and amplify our online presence.

Contributing to OpenCV

We appreciate contributions from the community! Before you get started, please review our contribution guidelines.

Key Contribution Guidelines

  • Pull Requests:
    • One pull request per issue.
    • Select the correct base branch.
  • Tests & Documentation:
    Ensure all changes are accompanied by relevant tests and documentation updates.
  • Clean Commit History:
    Clean up any unnecessary commits before submitting your pull request.
  • Coding Standards:
    Follow the OpenCV Coding Style Guide.

Additional Resources

  • OpenCV.ai:
    Professional computer vision and AI services from the OpenCV team.
  • Support OpenCV:
    Donate to help maintain and grow the OpenCV community.

We encourage new users to dive into the community, ask questions, and start contributing. For more detailed information, visit our GitHub repository.