E-book details

Raspberry Pi Computer Vision Programming. Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 - Second Edition

Raspberry Pi Computer Vision Programming. Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 - Second Edition

Ashwin Pajankar

Ebook
Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects.
At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision.
By the end of this book, you'll be able to confidently build and deploy computer vision apps.
  • 1. Introduction to Computer Vision and Raspberry Pi
  • 2. Prepare Raspberry Pi for Computer Vision
  • 3. Programming with Python 3, GPIO, NumPy, and Matplotlib
  • 4. Getting started with Computer Vision
  • 5. Basics of Image Processing
  • 6. Colorspaces, Transformations, and Thresholding
  • 7. Let's Make Some Noise
  • 8. High Pass Filters and Feature Detection
  • 9. Image Restoration, Quantization, and Depth Map
  • 10. Histograms, Contours, and Morphological Transformations
  • 11. Real-life Computer Vision Applications
  • 12. Wrapping Up with Mahotas and Jupyter Notebook
  • 13. Appendix
  • Title: Raspberry Pi Computer Vision Programming. Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 - Second Edition
  • Author: Ashwin Pajankar
  • Original title: Raspberry Pi Computer Vision Programming. Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 - Second Edition
  • ISBN: 9781800201026, 9781800201026
  • Date of issue: 2020-06-29
  • Format: Ebook
  • Item ID: e_2ae2
  • Publisher: Packt Publishing