| 书目名称 | Real-Time IoT Imaging with Deep Neural Networks | | 副标题 | Using Java on the Ra | | 编辑 | Nicolas Modrzyk | | 视频video | | | 概述 | First book on real-time Java with Raspberry Pi 4.Uses the Rhasspy voice platform to enable voice commands.Covers Java scripting on Raspberry Pi 4 | | 图书封面 |  | | 描述 | .This book shows you how to build real-time image processing systems all the way through to house automation. Find out how you can develop a system based on small 32-bit ARM processors that gives you complete control through voice commands..Real-time image processing systems are utilized in a wide variety of applications, such as in traffic monitoring systems, medical image processing, and biometric security systems. In .Real-Time IoT Imaging with Deep Neural Networks., you will learn how to make use of the best DNN models to detect object in images using Java and a wrapper for OpenCV. Take a closer look at how Java scripting works on the Raspberry Pi while preparing your Visual Studio code for remote programming. You will also gain insights on image and video scripting. Author Nicolas Modrzyk shows you how to use the Rhasspy voice platform to add a powerful voice assistant and completely run and control your Raspberry Pi from your computer. .To get your voice intents for house automation ready, you will explore how Java connects to the MQTT and handles parametrized Rhasspy voice commands. With your voice-controlled system ready for operation, you will be able to perform simple tas | | 出版日期 | Book 2020 | | 关键词 | java; dnn; clojure; raspberrypi; jvm; imaging; processing; snips; snipspi; sam; messaging; mqtt | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-5722-7 | | isbn_softcover | 978-1-4842-5721-0 | | isbn_ebook | 978-1-4842-5722-7 | | copyright | Nicolas Modrzyk 2020 |
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发表于 2025-3-21 20:04:22
