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Raspberry Pi Robotics Essentials

You're reading from   Raspberry Pi Robotics Essentials Harness the power of Raspberry Pi with Six Degrees of Freedom (6DoF) to create an amazing walking robot

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785284847
Length 158 pages
Edition 1st Edition
Concepts
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Author (1):
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Richard Grimmett Richard Grimmett
Author Profile Icon Richard Grimmett
Richard Grimmett
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Toc

Color and motion finding


OpenCV and your webcam can also track colored objects. This will be useful if you want your biped to follow a colored object. OpenCV makes this amazingly simple by providing some high-level libraries that can help us with this task. To accomplish this, you'll edit a file to look something like what is shown in the following screenshot:

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

  • hue_img = cv.CvtColor(frame, cv.CV_BGR2HSV): This line creates a new image that stores the image 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 HSV focuses our processing more on the color, as opposed to the amount of light hitting it.

  • threshold_img = cv.InRangeS(hue_img, low_range, high_range): The low_range, high_range parameters determine the color range. In this case, it is an orange ball, so you want to detect the color orange. For a good...

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