YOLO-NAS + v8 full-stack computer vision course

This course offers an in-depth journey into the world of YOLO-NAS + v8, starting with upgrading from YOLOv8 to YOLO-NAS and an introduction to their architectures. You will explore the detailed nuances of running these models on different operating systems like Ubuntu and Windows, and even on Google...

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Körperschaft: Augmented AI (Firm) (MitwirkendeR)
Weitere Verfasser: Kanjee, Ritesh (MitwirkendeR)
Format: Elektronisch Video
Sprache:English
Veröffentlicht: [Birmingham, United Kingdom] Packt Publishing [2024]
Ausgabe:[First edition].
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MARC

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Datensatz im Suchindex

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spelling YOLO-NAS + v8 full-stack computer vision course
[First edition].
[Birmingham, United Kingdom] Packt Publishing [2024]
1 online resource (1 video file (8 hr., 19 min.)) sound, color.
zweidimensionales bewegtes Bild tdi rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
Online resource; title from title details screen (O'Reilly, viewed May 29, 2024)
This course offers an in-depth journey into the world of YOLO-NAS + v8, starting with upgrading from YOLOv8 to YOLO-NAS and an introduction to their architectures. You will explore the detailed nuances of running these models on different operating systems like Ubuntu and Windows, and even on Google Colab for accessible cloud-based learning. The course meticulously guides you through training custom YOLO-NAS + v8 on specialized datasets, including waste sorting, and extends to mastering object tracking with integrations like DeepSORT and Bytetrack. A significant portion is dedicated to practical implementations, such as setting up Flask applications for AI, mobile development with Kivy, and leveraging mobile apps for real-time uses like sign language recognition. From configuring environments for model conversion across various frameworks to deploying advanced object segmentation techniques, this course prepares you for real-world AI applications. It culminates in deploying YOLO-NAS in Docker and Jetson NANO environments, ensuring you are equipped to handle professional AI tasks seamlessly.
Computer vision
Artificial intelligence
Vision par ordinateur
Intelligence artificielle
artificial intelligence
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
Kanjee, Ritesh MitwirkendeR ctb
Augmented AI (Firm), MitwirkendeR ctb
Packt Publishing, Verlag pbl
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781836209874/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle YOLO-NAS + v8 full-stack computer vision course
Computer vision
Artificial intelligence
Vision par ordinateur
Intelligence artificielle
artificial intelligence
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
title YOLO-NAS + v8 full-stack computer vision course
title_auth YOLO-NAS + v8 full-stack computer vision course
title_exact_search YOLO-NAS + v8 full-stack computer vision course
title_full YOLO-NAS + v8 full-stack computer vision course
title_fullStr YOLO-NAS + v8 full-stack computer vision course
title_full_unstemmed YOLO-NAS + v8 full-stack computer vision course
title_short YOLO-NAS + v8 full-stack computer vision course
title_sort yolo nas v8 full stack computer vision course
topic Computer vision
Artificial intelligence
Vision par ordinateur
Intelligence artificielle
artificial intelligence
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
topic_facet Computer vision
Artificial intelligence
Vision par ordinateur
Intelligence artificielle
artificial intelligence
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
url https://learning.oreilly.com/library/view/-/9781836209874/?ar
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