Book Image

Raspberry Pi for Python Programmers Cookbook - Second Edition

Book Image

Raspberry Pi for Python Programmers Cookbook - Second Edition

Overview of this book

Raspberry Pi cookbook for Python Programmers is a practical guide for getting the most out of this little computer. This book begins by guiding you through setting up the Raspberry Pi, performing tasks using Python 3 and introduces the first steps to interface with electronics. As you work through each chapter you will build up your skills and knowledge and apply them as you progress throughout the book, delving further and further into the unique abilities and features of the Raspberry Pi. Later, you will learn how to automate tasks by accessing files, build applications using the popular Tkinter library and create games by controlling graphics on screen. You will harness the power of the built-in graphics processor by using Pi3D to generate your own high quality 3D graphics and environments. Connect directly to the Raspberry Pi’s hardware pins to control electronics from switching on LEDs and responding to push buttons right through to driving motors and servos. Learn how to monitor sensors to gather real life data and to use it to control other devices, and view the results over the Internet. Apply what you have learnt by creating your own Pi-Rover or Pi-Hexipod robots. Finally, we will explore using many of the purpose built add-ons available for the Raspberry Pi, as well as interfacing with common household devices in new ways.
Table of Contents (18 chapters)
Raspberry Pi for Python Programmers Cookbook - Second Edition
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
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...