OpenCV 4.11 introduces significant updates across its modules, enhancing functionality and performance. Key improvements include C++20 support, a new ‘algoHint’ parameter for optimized algorithms, and expanded hardware support with HALs for Qualcomm SoCs and RISC-V RVV extensions. The Core module sees improvements in FileStorage handling of int64 and enhanced accuracy in shape detection functions. The […]
Enhanced OpenCV For Android Support & ARM Performance Gains
This post was originally published on OpenCV.AI Easier access to OpenCV for Android through Maven Central In December, we released OpenCV 4.9.0. As part of that release, we made Android builds available through the Maven Central repository for the first time. This work is supported by Arm company, the authors of the computer architecture on […]
Working with Neural Processing Units (NPUs) using OpenCV
Authors: WU Jia, GAO Jinwei NPU, short for neural processing unit, is a specialized processor designed to accelerate the performance of common machine learning tasks and typically of neural networks applications. Besides acceleration, NPU frees the CPU and it is pretty power efficient. OpenCV’s Dynamic Neural Network (DNN) module is a light and efficient deep […]
Calling For OpenCV Area Chairs
OpenCV is pleased to announce a new part of our global computer vision community: OpenCV Area Chairs. What is an Area Chair? First and foremost, they are an expert. OpenCV Area Chairs (and their teammates, if any) will create state-of-the-art algorithms and help shape the present and future of open source computer vision and AI. […]
