OpenCV Documentation

About Robomous

Robomous is a project dedicated to creating high-quality content about artificial intelligence, computer vision, and robotics-oriented programming. We work with various tools and approaches, and while OpenCV is one of our main tools, it’s not the only one. This documentation is part of our commitment to providing the community with modern, accessible resources for learning and working with these technologies.

Why This Documentation Exists

The official OpenCV documentation, while comprehensive, has several limitations that we aim to address:

• Outdated design: The official documentation has an unfriendly, dated interface that makes navigation difficult
• C++ focus: The documentation primarily serves as a reference for the C++ API, with limited Python-specific guidance
• Lack of Python examples: There’s a significant gap in practical Python examples and tutorials
• Scattered information: Finding relevant examples and explanations can be challenging

Note

This documentation is not intended to replace the official OpenCV documentation. Instead, it serves as a modern, complementary reference with a focus on the Python API, practical examples, and a user-friendly format similar to other contemporary documentation projects.

What We Offer

Multi-Language Support

Currently featuring comprehensive Python API documentation, with plans to expand to C++, JavaScript, and other language bindings.

Modern Design

Clean, intuitive interface that makes it easy to find what you need and learn effectively.

Practical Examples

Real-world code examples that demonstrate how to use OpenCV for common computer vision tasks.

Up-to-Date Content

We’re committed to keeping this documentation current as OpenCV evolves and new features are released.

Clear Structure

Well-organized content that guides you from basics to advanced topics in a logical progression.

Community-Driven

An open-source project by Robomous, created for the community and open to contributions.

Our Commitment

We understand the frustration of working with outdated or incomplete documentation. That’s why we’re dedicated to:

• Maintaining current content: Regular updates as OpenCV releases new versions and features
• Expanding coverage: Continuously adding new examples, guides, and explanations
• Improving clarity: Refining explanations based on community feedback
• Filling the Python gap: Providing the Python API documentation that’s been missing

Getting Started

Ready to dive in? Here’s how to make the most of this documentation:

1. Start with the basics: Learn what OpenCV is and understand its core concepts
2. Set up your environment: Follow our installation guide to get OpenCV running
3. Write your first program: Use our Quick Start guide to create your first working example
4. Explore guides: Browse our practical guides for specific computer vision tasks

Tip

This documentation currently focuses on the Python API of OpenCV. We plan to expand coverage to include C++, JavaScript, and other language bindings in the future. For now, if you’re working with languages other than Python, you may want to refer to the official OpenCV documentation for language-specific details.

Contributing

This is an open-source project, and we welcome contributions! Whether it’s fixing errors, adding examples, improving explanations, or suggesting new content, your help makes this documentation better for everyone.

Visit our GitHub repository to get involved.