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A Python Package for Digital Image Processing Education

Project description

dippykit - A Digital Image Processing Library

Authors: Brighton Ancelin, Motaz Alfarraj, Ghassan AlRegib

This library was developed for the Georgia Tech graduate course ECE 6258: Digital Image Processing with Professor Ghassan AlRegib.

Versioning Scheme: Semantic Versioning 2.0.0

This package is intended for use by Digital Image Processing students. It serves as an educational resource. The general methodology for the package is that each module contains functions pertinent to a specific concept or field. For convenience to the user, all functions are available directly through the package itself. In other words, users are not tasked with specifying modules to access specific members. The organization of modules is a logical “under-the-hood” aspect in this regard.

This code is maintained under the Semantic Versioning 2.0.0 versioning scheme, further defined here. In essence, the version is represented as MAJOR.MINOR.PATCH and each increments by the following rules:

  • Increment MAJOR when incompatible API changes are made
  • Increment MINOR when backwards-compatible functionality is added
  • Increment PATCH when backwards-compatible bug fixes are made

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dippykit-1.0.2.tar.gz (51.4 kB) Copy SHA256 hash SHA256 Source None Aug 23, 2018

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