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YOLO-NAS + v8 Full-Stack Computer Vision Course

You're reading from YOLO-NAS + v8 Full-Stack Computer Vision Course Empowering AI Innovations with NVIDIA Jetson

Product type Video

Published in May 2024

Publisher Packt

ISBN-13 9781836209874

Length 8hrs 18mins

Edition 1st Edition

Tools

Flask

Concepts

Computer Vision

Authors (2):

Ritesh Kanjee

Augmented AI

View More author details

Table of Contents (11) Chapters

1. YOLO-NAS + v8 Introduction FREE CHAPTER

2. Training Custom YOLO-NAS + v8

3. YOLO-NAS + v8 Object Tracking

4. Model Conversion

5. Flask Integration

6. YOLO-NAS + v8 Flask Apps

7. Mobile Development Using Kivy

8. Mobile Apps

9. Object Segmentation

10. YOLO-NAS Deployment for Docker

11. Bonus Content

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YOLO-NAS + v8 Full-Stack Computer Vision Course [Video]

Published in: May 2024

Publisher: Packt

ISBN-13: 9781836209874

© 2024 Packt Publishing Limited All Rights Reserved

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Authors (1)

Ritesh Kanjee

Ritesh Kanjee

Augmented Startups have over 8 years experience in Printed Circuit Board (PCB) design as well in image processing and embedded control. Author Ritesh Kanjee has completed his Masters Degree in Electronic engineering and published two papers on the IEEE Database with one called "Vision-based adaptive Cruise Control using Pattern Matching" and the other called "A Three-Step Vehicle Detection Framework for Range Estimation Using a Single Camera" (on Google Scholar). His work was implemented in LabVIEW. He works as an embedded electronic engineer in defence research and has experience in FPGA design with programming in both VHDL and Verilog. He also has expertise in augmented reality and machine learning in which he shall be introducing new technologies through the medium of video

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