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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 free and open-source software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    This is a list of free and open-source software (FOSS) 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 ]

  4. Visual Studio Code - Wikipedia

    en.wikipedia.org/wiki/Visual_Studio_Code

    Visual Studio Code was first announced on April 29, 2015 by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.

  5. OpenVX - Wikipedia

    en.wikipedia.org/wiki/OpenVX

    OpenVX is an open, royalty-free standard for cross-platform acceleration of computer vision applications. It is designed by the Khronos Group to facilitate portable, optimized and power-efficient processing of methods for vision algorithms. This is aimed for embedded and real-time programs within computer vision and related scenarios.

  6. Computer Vision Annotation Tool - Wikipedia

    en.wikipedia.org/wiki/Computer_Vision_Annotation...

    opencv.github.io /cvat /about / 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 ...

  7. Lucas–Kanade method - Wikipedia

    en.wikipedia.org/wiki/Lucas–Kanade_method

    In computer vision, the Lucas–Kanade method is a widely used differential method for optical flow estimation developed by Bruce D. Lucas and Takeo Kanade.It assumes that the flow is essentially constant in a local neighbourhood of the pixel under consideration, and solves the basic optical flow equations for all the pixels in that neighbourhood, by the least squares criterion.

  8. libjpeg - Wikipedia

    en.wikipedia.org/wiki/Libjpeg

    libjpeg is a free library with functions for handling the JPEG image data format. ... For version 5, which was released on September 24, 1994, the whole code base was ...

  9. Python Imaging Library - Wikipedia

    en.wikipedia.org/wiki/Python_Imaging_Library

    Python Imaging Library is a free and open-source additional library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. The latest version of PIL is 1.1.7, was released in September 2009 and supports Python 1.5.2–2.7. [3]