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OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel , it was later supported by Willow Garage , then Itseez (which was later acquired by Intel [ 3 ] ).
This is a list of free and open-source software packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
Vibrante is one of the targets that OpenCV4Tegra (OpenCV for Tegra; an OpenCV derivate with Tegra-specific optimizations) can run upon. [9] Further there is the Nvidia PerfKit Package that copes with Vibrante. [10]
Computer Vision Annotation Tool (CVAT) is a free, 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. [2]
Video4Linux (V4L for short) is a collection of device drivers and an API for supporting realtime video capture on Linux systems. [1] It supports many USB webcams, TV tuners, and related devices, standardizing their output, so programmers can easily add video support to their applications.
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.
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The AMD APP SDK v3.0 supports OpenCL 2.0 and Catalyst Omega 15.7 driver, also it includes samples for OpenCL as well as accelerated libraries such as Bolt (an open-source C++ template library) and the OpenCL accelerated OpenCV (Open Computer Vision) library.