Image Processing you own this product

prerequisites
basic Python, Jupyter Notebook, and tkinter
skills learned
loading an image file into a PIL image • displaying a tkinter PhotoImage • making tkinter dialogs • applying various PIL image transformations to enhance and modify images
Rod Stephens
1 week · 6-8 hours per week · BEGINNER

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Look inside

In this liveProject, you’ll use the Python Imaging Library (PIL) to tackle common image processing tasks. You’ll learn about some of the algorithms that let you apply filters to images, and you’ll use PIL to adjust image brightness, contrast, and color tone. You’ll crop, rotate, reflect, and perform other geometric operations on images.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Rod Stephens

Rod Stephens started out as a mathematician but discovered the fun of algorithms and has been programming ever since. Rod was a Microsoft Visual Basic Most Valuable Professional (MVP) for 15 years, has spoken to user groups and conferences, and has taught introductory programming courses. He has written more than 35 books including Essential Algorithms: A Practical Approach to Computer Algorithms Using Python and C# and Beginning Software Engineering, both of which include material related to this series of liveProjects.

prerequisites

The liveProject is for intermediate Python programmers who know Python and the tkinter package. To begin this liveProject, you will need to be familiar with the following the following:


TOOLS
  • Basics of Python
  • Basics of Jupyter Notebook
  • Basics of tkinter
TECHNIQUES
  • Create a class
  • Define __init__ methods
  • Create a tkinter interface

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