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  2. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    The first alpha version of OpenCV was released to the public at the IEEE Conference on Computer Vision and Pattern Recognition in 2000, and five betas were released between 2001 and 2005. The first 1.0 version was released in 2006. A version 1.1 "pre-release" was released in October 2008. The second major release of the OpenCV was in October 2009.

  3. List of OpenCL applications - Wikipedia

    en.wikipedia.org/wiki/List_of_OpenCL_applications

    Download QR code; Print/export ... OpenCV [46] RealFlow Hybrido2 [28] Sony Catalyst ... Conversion CUDA to OpenCL 1.2 with CUDA-on-CL [123] ...

  4. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  5. AMD APP SDK - Wikipedia

    en.wikipedia.org/wiki/AMD_APP_SDK

    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.

  6. PhyCV - Wikipedia

    en.wikipedia.org/wiki/PhyCV

    We use the Jetson Nano (4GB) with NVIDIA JetPack SDK version 4.6.1, which comes with pre- installed Python 3.6, CUDA 10.2, and OpenCV 4.1.1. We further install PyTorch 1.10 to enable the GPU accelerated PhyCV. We demonstrate the results and metrics of running PhyCV on Jetson Nano in real-time for edge detection and low-light enhancement tasks.

  7. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch Tensors are similar to NumPy Arrays, but can also be operated on a CUDA-capable NVIDIA GPU. PyTorch has also been developing support for other GPU platforms, for example, AMD's ROCm [27] and Apple's Metal Framework. [28] PyTorch supports various sub-types of Tensors. [29]

  8. NFL playoff scenarios: Which teams can clinch in Week 15? - AOL

    www.aol.com/nfl-playoff-scenarios-teams-clinch...

    Download for award-winning coverage, crosswords, audio storytelling, the eNewspaper and more. This article originally appeared on USA TODAY: NFL playoff scenarios for Week 15: Steelers, Vikings ...

  9. Local binary patterns - Wikipedia

    en.wikipedia.org/wiki/Local_binary_patterns

    OpenCV's Cascade Classifiers support LBPs as of version 2. VLFeat , an open source computer vision library in C (with bindings to multiple languages including MATLAB) has an implementation . LBPLibrary is a collection of eleven Local Binary Patterns (LBP) algorithms developed for background subtraction problem.