oreillymedia/Learning-OpenCV-3_examples resource

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2267 stars · 882 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official companion repository of example code and chapter exercises for the book 'Learning OpenCV 3' by Adrian Kaehler and Gary Bradski, written in C++. It includes a CMake build setup and a Dockerfile that provisions a complete Ubuntu environment with OpenCV 3.2 and opencv_contrib.

Use cases

• learn OpenCV 3 by running the book's example programs
• build and run C++ computer vision demos like edge detection and video capture
• set up a self-contained OpenCV 3.2 development environment with Docker
• work through chapter exercises for Learning OpenCV 3
• study sample code for image loading, smoothing, pyramids, and log-polar transforms
• get a ready-made OpenCV build with opencv_contrib on Ubuntu

When to choose

• you are reading Learning OpenCV 3 and want the accompanying example code and exercises
• you want runnable C++ snippets demonstrating core OpenCV 3 APIs
• you need a reproducible Docker environment preloaded with OpenCV 3.2 and opencv_contrib

When to avoid

• you need a maintained computer vision library rather than book sample code
• you are working with OpenCV 4 or newer APIs, since the code targets OpenCV 3.x
• you want a production-ready application or reusable library

Facets

learning-resource · maturity maintenance

computer-vision image-processing video-processing computer-vision education tutorials image-processing cpp cross-platform opencv example-code book-companion cmake c-plus-plus docker-environment exercises linux docker

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