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Learn Robotics Programming

You're reading from   Learn Robotics Programming Build and control AI-enabled autonomous robots using the Raspberry Pi and Python

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781839218804
Length 602 pages
Edition 2nd Edition
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Author (1):
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Danny Staple Danny Staple
Author Profile Icon Danny Staple
Danny Staple
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Table of Contents (25) Chapters Close

Preface 1. Section 1: The Basics – Preparing for Robotics
2. Chapter 1: Introduction to Robotics FREE CHAPTER 3. Chapter 2: Exploring Robot Building Blocks – Code and Electronics 4. Chapter 3: Exploring the Raspberry Pi 5. Chapter 4: Preparing a Headless Raspberry Pi for a Robot 6. Chapter 5: Backing Up the Code with Git and SD Card Copies 7. Section 2: Building an Autonomous Robot – Connecting Sensors and Motors to a Raspberry Pi
8. Chapter 6: Building Robot Basics – Wheels, Power, and Wiring 9. Chapter 7: Drive and Turn – Moving Motors with Python 10. Chapter 8: Programming Distance Sensors with Python 11. Chapter 9: Programming RGB Strips in Python 12. Chapter 10: Using Python to Control Servo Motors 13. Chapter 11: Programming Encoders with Python 14. Chapter 12: IMU Programming with Python 15. Section 3: Hearing and Seeing – Giving a Robot Intelligent Sensors
16. Chapter 13: Robot Vision – Using a Pi Camera and OpenCV 17. Chapter 14: Line-Following with a Camera in Python 18. Chapter 15: Voice Communication with a Robot Using Mycroft 19. Chapter 16: Diving Deeper with the IMU 20. Chapter 17: Controlling the Robot with a Phone and Python 21. Section 4: Taking Robotics Further
22. Chapter 18: Taking Your Robot Programming Skills Further 23. Chapter 19: Planning Your Next Robot Project – Putting It All Together 24. Other Books You May Enjoy

Trying computer vision with test images

In this section, we will look out how and why to use test images. We will write our first chunk of code for this behavior and try it on test images from our robot's camera. These tests will prepare us for using the code to drive the robot.

Why use test images?

So far, our computer vision work has been written directly with robot behaviors; this is the end goal of them, but sometimes, you want to try the visual processing code in isolation.

Perhaps you want to get it working or work out bugs in it, or you may want to see whether you can make the code faster and time it. To do this, it makes sense to run that particular code away from the robot control systems.

It also makes sense to use test images. So, instead of running the camera and needing light conditions, you can run with test images you've already captured and compare them against the result you expected from them.

For performance testing, trying the same image...

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