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Raspberry Pi Image Processing Programming : Develop Real-life Examples With Python, Pillow, and Scipy
about this item
Quickly learn how to automate unit testing of Python 3 code with Python 3 automation libraries, such as doctest, unittest, nose, nose2, and pytest.
This book explores the important concepts in software testing and their implementation in Python 3 and shows you how to automate, organize, and execute unit tests for this language. This knowledge is often acquired by reading source code, manuals, and posting questions on community forums, which tends to be a slow and painful process.
Raspberry Pi Image Processing Programming will allow you to quickly ramp up your understanding of unit test libraries for Python 3 through the practical use of code examples and exercises. All of which makes this book a great resource for software developers and testers who want to get started with unit test automation in Python 3 and compare the differences with Python 2.
This short work is your must-have quick start guide to mastering the essential concepts of software testing in Python.
What you will learn:
•Understand Raspberry Pi concepts and setup
•Understand Digital Image Processing concepts
•Study Pillow, the friendly PIL fork
•Explore scipy.ndimage and matplotlib
•Master use of the Pi camera and webcam
Who this book is for:
Raspberry Pi and IoT Enthusiasts, Digital Image Processing enthusiasts, Python and Open Source enthusiasts and professionals
Genre: Computers + Internet
Publisher: Springer Verlag
Author: Ashwin Pajankar
Street Date: April 22, 2017
Item Number (DPCI): 248-45-6812