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Raspberry Pi for  Python Programmers  Cookbook

You're reading from   Raspberry Pi for Python Programmers Cookbook Over 60 recipes that harness the power of the Raspberry Pi together with Python programming and create enthralling and captivating projects

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Product type Paperback
Published in Oct 2016
Publisher
ISBN-13 9781785288326
Length 510 pages
Edition 2nd Edition
Languages
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with a Raspberry Pi Computer FREE CHAPTER 2. Starting with Python Strings, Files, and Menus 3. Using Python for Automation and Productivity 4. Creating Games and Graphics 5. Creating 3D Graphics 6. Using Python to Drive Hardware 7. Sense and Display Real-World Data 8. Creating Projects with the Raspberry Pi Camera Module 9. Building Robots 10. Interfacing with Technology A. Hardware and Software List
Index

Color detection with OpenCV


We shall begin experimenting with OpenCV by performing some basic operations on live image data. In this recipe, we shall perform some basic image processing to allow detection of different colored objects and track their location on screen.

Getting ready

In addition to the setup from the previous recipe, you will need a suitable colored object to track. For example, a small colored ball, a suitable colored mug, or a pencil with a square of colored paper taped to it is ideal. The example should allow you to detect the location (indicated by a color spot) of blue, green, red, magenta (pink) or yellow objects.

We can use OpenCV to detect colored objects in an image

How to do it…

Create the following opencv_display.py script:

#!/usr/bin/python3
#opencv_display.py
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import cv2

import opencv_color_detect as PROCESS  

def show_images(images,text,MODE):          
  # show the frame
  cv2.putText...
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