Book Image

OpenCV 4 for Secret Agents - Second Edition

By : Joseph Howse
Book Image

OpenCV 4 for Secret Agents - Second Edition

By: Joseph Howse

Overview of this book

OpenCV 4 is a collection of image processing functions and computer vision algorithms. It is open source, supports many programming languages and platforms, and is fast enough for many real-time applications. With this handy library, you’ll be able to build a variety of impressive gadgets. OpenCV 4 for Secret Agents features a broad selection of projects based on computer vision, machine learning, and several application frameworks. To enable you to build apps for diverse desktop systems and Raspberry Pi, the book supports multiple Python versions, from 2.7 to 3.7. For Android app development, the book also supports Java in Android Studio, and C# in the Unity game engine. Taking inspiration from the world of James Bond, this book will add a touch of adventure and computer vision to your daily routine. You’ll be able to protect your home and car with intelligent camera systems that analyze obstacles, people, and even cats. In addition to this, you’ll also learn how to train a search engine to praise or criticize the images that it finds, and build a mobile app that speaks to you and responds to your body language. By the end of this book, you will be equipped with the knowledge you need to advance your skills as an app developer and a computer vision specialist.
Table of Contents (16 chapters)
Free Chapter
1
Section 1: The Briefing
4
Section 2: The Chase
9
Section 3: The Big Reveal
12
Making WxUtils.py Compatible with Raspberry Pi
13
Learning More about Feature Detection in OpenCV
14
Running with Snakes (or, First Steps with Python)

Implementing the Lazy Eyes app

Let's create a new folder for Lazy Eyes and, in this folder, create copies of or links to the ResizeUtils.py and WxUtils.py files from any of our previous Python projects, such as The Living Headlights from Chapter 5, Equipping Your Car with a Rearview Camera and Hazard Detection. Alongside the copies or links, let's create a new file, LazyEyes.py. Edit it and enter the following import statements:

import collections
import threading
import timeit

import numpy
import cv2
import wx

import pyfftw.interfaces.cache
from pyfftw.interfaces.scipy_fftpack import fft
from pyfftw.interfaces.scipy_fftpack import ifft
from scipy.fftpack import fftfreq

import ResizeUtils
import WxUtils

Besides the modules that we have used in the previous projects, we are now using the standard library's collections module for efficient collections, as well as the timeit...