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Raspberry Pi Computer Vision Programming

You're reading from   Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781800207219
Length 306 pages
Edition 2nd Edition
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Author (1):
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Ashwin Pajankar Ashwin Pajankar
Author Profile Icon Ashwin Pajankar
Ashwin Pajankar
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Table of Contents (15) Chapters Close

Preface 1. Chapter 1: Introduction to Computer Vision and the Raspberry Pi 2. Chapter 2: Preparing the Raspberry Pi for Computer Vision FREE CHAPTER 3. Chapter 3: Introduction to Python Programming 4. Chapter 4: Getting Started with Computer Vision 5. Chapter 5: Basics of Image Processing 6. Chapter 6: Colorspaces, Transformations, and Thresholding 7. Chapter 7: Let's Make Some Noise 8. Chapter 8: High-Pass Filters and Feature Detection 9. Chapter 9: Image Restoration, Segmentation, and Depth Maps 10. Chapter 10: Histograms, Contours, and Morphological Transformations 11. Chapter 11: Real-Life Applications of Computer Vision 12. Chapter 12: Working with Mahotas and Jupyter 13. Chapter 13: Appendix 14. Other Books You May Enjoy

The SciPy ecosystem

The SciPy ecosystem is a collection of libraries for programming science, mathematics, and engineering functionalities. It has the following libraries as core components:

  • NumPy
  • SciPy
  • Matplotlib
  • IPython
  • SymPy
  • pandas

In this book, we will use all of these libraries except SymPy and pandas. In this section, we will have a look at the NumPy and Matplotlib libraries. We will learn the useful aspects of the other two libraries in the later chapters of this book.

The basics of NumPy

NumPy is a fundamental package that can be used for numerical computation with Python. It is a matrix library for linear algebra. NumPy ndarrays can also be used as an efficient multi-dimensional container of generic data. Arbitrary data types can also be defined and used. NumPy is an extension of the Python programming language. It adds support for large multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions...

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