OpenCV 5.0 Released With Rewritten DNN Engine, Built-In LLM & VLM Support

OpenCV 5.0 released today as a major update to this widely-used, open-source computer vision (CV) library.

The OpenCV library is widely-used for ral-time computer vision needs and machine learning applications. With OpenCV 5.0, it's a huge release and a major step forward in advancing its already leading capabilities.

OpenCV 5.0 features a rewritten deep neural network (DNN) engine, ONNX coverage surpassing 80%, built-in large language model (LLM) and vision language model (VLM) support, and a new hardware abstraction layer as well as a much better 3D vision toolkit.

OpenCV 5.0 currently has tuned paths for Intel IPP with SSE/AVX-optimized kernels, Arm KleidiCV, Qualcomm FastCV, and RISC-V Vector RVV. Coming up next the OpenCV developers plan to work on native GPU support within their new DNN engine.

OpenCV 5.0 is performing very well against the Microsoft ONNX Runtime:

More details on the huge release of OpenCV 5.0 via today's announcement on OpenCV.org. OpenCV 5.0 can be downloaded from GitHub.