The OpenCV organization on GitHub hosts a wide range of repositories focused on computer vision and machine learning. Key projects include the Open Source Computer Vision Library and the opencv_contrib repository for additional modules. The primary programming languages utilized are Python, C++, Objective-C, and HTML.
Open Source Computer Vision Library
Repository for OpenCV's extra modules
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
OpenCV extra data
Model Zoo For OpenCV DNN and Benchmarks.
"OpenCV for iOS" book samples
OpenCV - 3rdparty
A set of libraries for encapsulating smart vision algorithms
Codebase for Perception Challenge For Bin-Picking
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For historical needs only. All exported SVN history with metadata.
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GitHub Actions workflows for OpenCV project
An unbiased CPU benchmark by OpenCV that provides an evaluation of different CPUs under real-world computer vision and AI workloads.
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Benchmark for Graviton-based AWS Cloud Optimized OpenCV Library (COOL)
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OpenCV adapter for ONNX scoreboard tests
OpenCV builds a variety of projects on GitHub, including the core OpenCV library and additional modules for extended functionality. Notable repositories include opencv for the main library and opencv_contrib for extra features.
The opencv organization primarily uses Python, C++, and Objective-C for its repositories. These languages are integral for developing computer vision applications and libraries, facilitating cross-platform compatibility.
Yes, all opencv repositories on GitHub are public. This allows developers and researchers to access, contribute to, and audit the code, promoting transparency and collaboration within the computer vision community.
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