Articoli correlati a Real-Time IoT Imaging with Deep Neural Networks: Using...
Sinossi
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
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
- EditoreApress
- Data di pubblicazione2020
- ISBN 10 1484257235
- ISBN 13 9781484257234
- RilegaturaPaperback
- LinguaInglese
- Contatto del produttorenon disponibile
(nessuna copia disponibile)
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