DOPENCVEXTRAMODULESPATH

DOPENCVEXTRAMO is a modular extension to the OpenCV library, designed to host experimental computer vision algorithms and processing pipelines. Built as a plugin-based framework, it allows developers to add new modules that extend the core OpenCV functionality without modifying the base distribution.

Development and licensing: The project emerged from a community-driven effort to accelerate prototyping of novel techniques. It is released under a permissive open-source license and depends on OpenCV as a runtime requirement. The architecture emphasizes language bindings for Python and C++, enabling broad accessibility for researchers and developers.

Modules and capabilities: DOPENCVEXTRAMO groups modules into categories such as real-time vision processing, multi-view geometry, 3D reconstruction, and deep learning integration. Many modules support GPU acceleration via CUDA or OpenCL and provide ONNX-compatible interfaces for neural networks, enabling streamlined experimentation with modern AI methods alongside traditional computer vision pipelines.

Architecture and usage: Modules register with a central registry and are loaded dynamically at runtime. The framework ships with a minimal runtime and a set of example modules to demonstrate integration. Build and distribution use CMake with targets for Linux, Windows, and macOS, and the project emphasizes straightforward installation through prebuilt binaries or source builds.

Relation to OpenCV: It is not part of the official OpenCV project, but serves as a complementary extension aimed at researchers and educators. Users are advised to test modules separately before integrating into production code, given potential API changes and stability considerations.

See also: OpenCV, opencv_contrib, computer vision, GPU acceleration, machine learning.