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Real-Time IoT Imaging with Deep Neural Networks: Using Java on the Raspberry Pi 4 - Couverture souple
L'édition de cet ISBN n'est malheureusement plus disponible.
Synopsis
Chapter 1: Training a DNN Network
Readers will use Java for basic functions and develop a custom DNN model. They will learn to their models to detect images and videos
- Using JavaCV to run some basic detection
- using a YOLO DNN on a picture
- using a YOLO DNN on a video
Chapter 2: Developing and running on the raspberry Pi
Readers will learn to script Java/Clojure on the Raspberry Pi. They will also learn how image and video scripting can be achieved.
- Is the Raspberry Pi fast enough for the JVM?
- Preparing visual studio code for remote programming
- Clojure scripting on the Raspberry Pi
- Image scripting on the Raspberry Pi
- Video scripting on the Raspberry Pi
Chapter 3: Snips Voice Platform
Readers will be introduced to the Snips video platform for creating their personal voice assistant. They will also learn more about the Sam CLI for controlling the Raspberry Pi from their computers.
- Why Snips?
- Preparing the Snips Pi
- Connecting using Sam, testing microphone and speaker
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
- ÉditeurApress
- Date d'édition2020
- ISBN 10 1484257235
- ISBN 13 9781484257234
- ReliurePaperback
- Langueanglais
- Coordonnées du fabricantnon disponible
(Aucun exemplaire disponible)
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