spmallick/learnopencv

Quick Overview — What is this tool?

Learn OpenCV : C++ and Python Examples

This is the project's own description from GitHub — we show it as-is rather than inventing details.

What Can You Do With It?

• Download and run the complete source code on your own computer or server.
• Study how it works — every line of code is public.
• Use it in your own projects, subject to its license terms (see cost section below).
• Its GitHub topics describe its main areas: aicomputer-visioncomputervisiondeep-learningdeep-neural-networksdeeplearningmachine-learningopencvopencv-cppopencv-libraryopencv-pythonopencv-tutorialopencv3

Who Is This For?

This project is listed under Computer Vision in Artificial Intelligence, a category made for creators, businesses, students and developers who want to use AI without getting lost in research papers.

Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)

Is It Free?

No license was detected on GitHub for this repository. The code is publicly visible, but you should not assume it is free to use commercially — contact the owner or check the repository for license terms first.

Is It Actively Maintained?

Activity level: Very active · Last code update: 22 Oct 2026 · Created: 17 Feb 2015 · Open issues: 221

How to Get Started

1. Open the repository on GitHub and read its README — that is the official, verified setup guide.
2. To download the full code, generate this repository's public link below and run the clone command in a terminal:

Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗

We never publish installation steps we have not verified — the README above is the source of truth.

Repository Statistics

⭐ 23238 stars · 🍴 11635 forks · 🐛 221 open issues · 💻 Language: Jupyter Notebook · 📄 License: None detected · Default branch: master