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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. 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.

  4. Wolfram Mathematica - Wikipedia

    en.wikipedia.org/wiki/Wolfram_Mathematica

    Wolfram Mathematica is a software system with built-in libraries for several areas of technical computing that allows machine learning, statistics, symbolic computation, data manipulation, network analysis, time series analysis, NLP, optimization, plotting functions and various types of data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in ...

  5. Visual Studio - Wikipedia

    en.wikipedia.org/wiki/Visual_Studio

    The final release of Visual Studio 2013 became available for download on October 17, 2013, along with .NET 4.5.1. [191] Visual Studio 2013 officially launched on November 13, 2013, at a virtual launch event keynoted by S. Somasegar and hosted on events .visualstudio .com . [ 192 ] "

  6. 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.

  7. 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.

  8. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]

  9. Subpixel rendering - Wikipedia

    en.wikipedia.org/wiki/Subpixel_rendering

    Examples of pixel geometry, showing various arrangements of pixels and subpixels, which must be considered for subpixel rendering.LCD displays consisting of red, green, and blue subpixels (bottom right is the most typical example) are best suited to subpixel rendering.