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Raspberry Pi Robotic Blueprints

You're reading from   Raspberry Pi Robotic Blueprints Utilize the powerful ingredients of Raspberry Pi to bring to life your amazing robots that can act, draw, and have fun with laser tags

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Product type Book
Published in Oct 2015
Publisher
ISBN-13 9781784396282
Pages 198 pages
Edition 1st Edition
Languages
Concepts
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Toc

Table of Contents (14) Chapters Close

Raspberry Pi Robotic Blueprints
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Adding Raspberry Pi to an RC Vehicle FREE CHAPTER 2. Adding Raspberry Pi to a Humanoid Robot 3. Building a Tracked Vehicle That Can Plan Its Own Path 4. Building a Robot That Can Play Laser Tag 5. A Robot That Can Draw 6. A Robot That Can Play Air Hockey 7. A Robot That Can Fly Index

Color finding with OpenCV


Now you'll want to use OpenCV and your webcam to track your puck. OpenCV makes this amazingly simple by providing some high level libraries that can help you. To start with, you'll want to create a basic file that allows you to establish a threshold and then display the pixels as white that exceeds this threshold. To accomplish this, you'll edit a file to look something similar to what is shown in the following screenshot:

Let's look specifically at the code that makes it possible to isolate the colored puck:

  • hue_img = cv.cvtColor(frame, cv.COLOR_BGR2HSV): This line creates a new image and stores it as per the values of Hue (color), Saturation, and Value (HSV) instead of the Red, Green, and Blue (RGB) pixel values of the original image. Converting to this format (HSV) focuses our processing more on the color as opposed to the amount of light hitting it.

  • threshold_img = cv.inRange(hue_img, low_range, high_range): The low_range and high_range parameters determine the...

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