Book Image

Raspberry Pi 3 Cookbook for Python Programmers - Third Edition

By : Steven Lawrence Fernandes, Tim Cox
Book Image

Raspberry Pi 3 Cookbook for Python Programmers - Third Edition

By: Steven Lawrence Fernandes, Tim Cox

Overview of this book

Raspberry Pi 3 Cookbook for Python Programmers – Third Edition begins by guiding you through setting up Raspberry Pi 3, performing tasks using Python 3.6, and introducing the first steps to interface with electronics. As you work through each chapter, you will build your skills and apply them as you progress. You will learn how to build text classifiers, predict sentiments in words, develop applications using the popular Tkinter library, and create games by controlling graphics on your screen. You will harness the power of a built in graphics processor using Pi3D to generate your own high-quality 3D graphics and environments. You will understand how to connect Raspberry Pi’s hardware pins directly to control electronics, from switching on LEDs and responding to push buttons to driving motors and servos. Get to grips with monitoring sensors to gather real-life data, using it to control other devices, and viewing the results over the internet. You will apply what you have learned by creating your own Pi-Rover or Pi-Hexipod robots. You will also learn about sentiment analysis, face recognition techniques, and building neural network modules for optical character recognition. Finally, you will learn to build movie recommendations system on Raspberry Pi 3.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Creating a 3D world to explore


Now that we are able to create models and objects within our 3D space, as well as generate backgrounds, we may want to create a more interesting environment within which to place them.

3D terrain maps provide an elegant way to define very complex landscapes. The terrain is defined using a grayscale image to set the elevation of the land. The following example shows how we can define our own landscape and simulate flying over it, or even walk on its surface:

A 3D landscape generated from a terrain map

Getting ready

You will need to place the Map.png file (available in the book resource files) in the pi3d/textures directory of the pi3d library. Alternatively, you can use one of the elevation maps already present—replace the reference to Map.png with another one of the elevation maps, such as testislands.jpg.

How to do it...

Create the following 3dWorld.py script:

#!/usr/bin/python3 
from __future__ import absolute_import, division 
from __future__ import print_function...