YOLO-NAS + v8 full-stack computer vision course.

Format:

Video

Contributor:

Kanjee, Ritesh, instructor.

Augmented AI (Firm), instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Computer vision.

Artificial intelligence.

Physical Description:

1 online resource (1 video file (8 hr., 19 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, [2024]

Summary:

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.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781836209874

1836209878

OCLC:

1436430310