Subscription

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Conferences

Free Learning

You're reading from OpenCV 4 for Secret Agents Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781789345360

Length 336 pages

Edition 2nd Edition

Languages

Java

Tools

OpenCV

Concepts

Computer Vision

Authors (2):

Joseph Howse

Arun Ponnusamy

View More author details

Table of Contents (16) Chapters

Preface

1. Section 1: The Briefing FREE CHAPTER

2. Preparing for the Mission

3. Searching for Luxury Accommodations Worldwide

4. Section 2: The Chase

5. Training a Smart Alarm to Recognize the Villain and His Cat

6. Controlling a Phone App with Your Suave Gestures

7. Equipping Your Car with a Rearview Camera and Hazard Detection

8. Creating a Physics Simulation Based on a Pen and Paper Sketch

9. Section 3: The Big Reveal

10. Seeing a Heartbeat with a Motion-Amplifying Camera

11. Stopping Time and Seeing like a Bee

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)

15. Other Books You May Enjoy

Leave a review - let other readers know what you think

Laying out a camera preview as the main view

Android, like many systems, enables the programmer to specify GUI layouts in XML files. Our Java code can load an entire view, or pieces of it, from these XML files.

Goldgesture has a simple layout that contains only a camera preview, on which we draw some additional graphics using OpenCV. The camera preview is represented by an OpenCV class called JavaCameraView. Let's edit app/src/main/res/layout/activity_camera.xml to fill the layout with a JavaCameraView, using the front-facing camera, as follows:

<?xml version="1.0" encoding="utf-8"?>
<android.support.constraint.ConstraintLayout
    xmlns:android="http://schemas.android.com/apk/res/android"
    xmlns:app="http://schemas.android.com/apk/res-auto"
    xmlns:opencv="http://schemas.android.com/apk/res-auto"
    xmlns:tools...

The rest of the chapter is locked

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Ponnusamy

Arun Ponnusamy works as a computer vision research engineer at an AI start-up in India. He is a lifelong learner, passionate about image processing, computer vision, and machine learning. He is an engineering graduate from PSG College of Technology, Coimbatore. He started his career at MulticoreWare Inc., where he spent most of his time on image processing, OpenCV, software optimization, and GPU computing. Arun loves to build his understanding of computer vision concepts clearly, allowing him to explain it in an intuitive way on his blog and in meetups. He has created an open source Python library for computer vision, named cvlib, which is aimed at simplicity and user friendliness. He is currently working on object detection, action recognition, and generative networks.

See other products by Ponnusamy

Joseph Howse

Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media Corporation, which exists to support his books and to provide mentoring and consulting services, with a specialty in computer vision. On average, in 2015-2022, Joseph has written 1.4 new books or new editions per year for Packt. He also writes fiction, including an upcoming novel about the lives of a group of young people in the last days of the Soviet Union.

See other products by Joseph Howse