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Official releases now occur every six months [7] and development is now done by an independent Russian team supported by commercial corporations. In August 2012, support for OpenCV was taken over by a non-profit foundation OpenCV.org, which maintains a developer [8] and user site. [9]
On April 24, 2024, Huawei's MindSpore 2.3.RC1 was released to open source community with Foundation Model Training, Full-Stack Upgrade of Foundation Model Inference, Static Graph Optimization, IT Features and new MindSpore Elec MT (MindSpore-powered magnetotelluric) Intelligent Inversion Model.
Stefan Hechenberger is an Austrian artist and programmer. His works include interactive software, computer vision projects and open-source hardware. [1]Hechenberger has worked with Zach Lieberman in creating the OpenCV library for openFrameworks, an open source C++ library for creative coding and graphics.
Gary Bradski is an American scientist, engineer, entrepreneur, and author. He co-founded Industrial Perception, a company that developed perception applications for industrial robotic application (since acquired by Google in 2012 [2]) and has worked on the OpenCV Computer Vision library, as well as published a book on that library.
Built on top of OpenCV, a widely used computer vision library, Albumentations provides high-performance implementations of various image processing functions. It also offers a rich set of image transformation functions and a simple API for combining them, allowing users to create custom augmentation pipelines tailored to their specific needs.
I find it hard to find articles about the exact publication date of OpenCV 4. There are articles that mention July 2018, but an official OpenCV blog post [1] is talking about OpenCV 4 on November 20th, 2018. A version history section would be helpful for those interested in the timeline of OpenCV. Tomihasa 16:46, 8 September 2020 (UTC)
Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel, CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.
OpenALPR is an automatic number-plate recognition library written in C++. [9] The software is distributed in both a commercial cloud based version [1] and open source version. [3] [10] OpenALPR makes use of OpenCV and Tesseract OCR libraries.