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Pyglet is a library for the Python programming language that provides an object-oriented application programming interface for the creation of games and other multimedia applications. [1] [2] pyglet runs on Microsoft Windows, macOS, and Linux; it is released under the BSD Licence. pyglet was first created by Alex Holkner.
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]
The GNU Image Manipulation Program, commonly known by its acronym GIMP (/ ɡ ɪ m p / ⓘ GHIMP), is a free and open-source raster graphics editor [3] used for image manipulation (retouching) and image editing, free-form drawing, transcoding between different image file formats, and more specialized tasks. It is extensible by means of plugins ...
At Google, he developed Mondrian, a web-based code review system written in Python and used within the company. He named the software after the Dutch painter Piet Mondrian. [20] He named Rietveld, another related software project, after Gerrit Rietveld, a Dutch designer. [21] On 7 December 2012, Van Rossum left Google. [22]
Virtual PDF printers for Microsoft Windows: Bullzip PDF Printer – there is a free version; CutePDF; DoPDF – this is a simplified version of NovaPDF; PDFCreator – a Ghostscript-based virtual printer for Microsoft Windows, with user interface for advanced options (security settings, combining multiple documents, etc.).
FreeCAD is a general-purpose parametric 3D computer-aided design (CAD) modeler and a building information modeling (BIM) software application with finite element method (FEM) support. [4] It is intended for mechanical engineering product design but also expands to a wider range of uses around engineering, such as architecture or electrical ...
For calculating the image containing only the background, a series of preceding images are averaged. For calculating the background image at the instant t: (,,) = = (,,) where N is the number of preceding images taken for averaging. This averaging refers to averaging corresponding pixels in the given images.
Sample images from MNIST test dataset. The MNIST database (Modified National Institute of Standards and Technology database [1]) is a large database of handwritten digits that is commonly used for training various image processing systems. [2] [3] The database is also widely used for training and testing in the field of machine learning.