Open Source Computer Vision Library
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Updated
Nov 6, 2024 - C++
OpenCV (Open Source Computer Vision Library) is written in C/C++, for real time computer vision. It takes advantage of multi-core processing and hardware acceleration. Applications of OpenCV includes egomotion estimation, gesture recognition, facial recognition system, and artificial neural networks.
Open Source Computer Vision Library
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Learn OpenCV : C++ and Python Examples
openFrameworks is a community-developed cross platform toolkit for creative coding in C++.
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Java interface to OpenCV, FFmpeg, and more
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
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Simple and Distributed Machine Learning
Nodejs bindings to OpenCV 3 and OpenCV 4
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.