Real-Time IoT Imaging with Deep Neural Networks - Using Java on the Raspberry Pi 4

Table of Contents
About the Author
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: Getting Started
Visual Studio Code Primer
Running Your First Java Application
Importing Core Java Packages
Debugging Lesson
Add a Breakpoint
Execute the Code Step-by-Step
Resume Execution
Watch an Expression
Change a Variable Value
Wrapping Things Up
Chapter 2: Object Detection in Video Streams
Going Sepia: OpenCV Java Primer
A Few Files to Make Things Easier…
OpenCV Primer 2: Loading, Resizing, and Adding Pictures
Simple Addition
Weighted Addition
Back to Sepia
Finding Marcel: Detecting Objects Primer
Finding Cat Faces in Pictures Using a Classifier
What Is a Feature?
Where in the World Is Marcel?
Finding Cat Faces in Pictures Using the Yolo Neural Network
Chapter 3: Vision on Raspberry Pi 4
Bringing the Raspberry to Life
Shopping
Downloading the OS
Creating the Bootable SD Card
Connecting the Cables
First Boot
Finding Your Raspberry Using nmap
Setting Up SSH Easily
Setting Up Visual Code Studio for Remote Use
Setting Up the Java OpenJDK
Alternative to Setting Up the Java SDK
Checking Out the OpenCV/Java Template
Performing a Git Clone
Downloading the Zip File
Using Maven
Installing the Visual Code Java Extension Pack Remotely
Running the First OpenCV Example
Running on Linux or a VM with AWS Instead
Capturing a Video Live Stream
Playing a Video
Chapter 4: Analyzing Video Streams on the Raspberry Pi
Overview of Applying Filters
Applying Basic Filters
Gray Filter
Edge Preserving Filter
Canny
Debugging (Again)
Combining Filters
Applying Instagram-like Filters
Color Map
Thresh
Sepia
Cartoon
Pencil Effect
Performing Object Detection
Removing the Background
Detecting by Contours
Detecting by Color
Detecting by Haar
Transparent Overlay on Detection
Detecting by Template Matching
Detecting by Yolo
Chapter 5: Vision and Home Automation
Rhasspy Message Flow
MQTT Message Queues
Installing Mosquitto
Comparison of Other MQTT Brokers
MQTT Messages on the Command Line
MQTT Messaging in Java
Dependencies Setup
Sending a Basic MQTT Message
Simulating a Rhasspy Message
JSON Fun
Listening to MQTT Basic Messages
Listening to MQTT JSON Messages
Voice and Rhasspy Setup
Preparing the Speaker
Installing Docker
Installing Rhasspy with Docker
Starting the Rhasspy Console
The Rhasspy Console
First Voice Command
First Command, Full Sentence
Speech Section and Trying Your Intent
Fine-Tuned Intents
Optional Words
Adding Alternatives
Making Intents with Slots More Readable
Defining Reusable Slots
Settings: Get That Intent in the Queue
Settings: Wake-Up Word
Creating the Highlight Intent
Voice and Real-Time Object Detection
Simple Setup: Origami + Voice
Origami Real-Time Video Analysis Setup
Creating the Yolo Filter
Running the Video Analysis Alone
Integrating with Voice
Index