NVIDIA TAO Toolkit and Deep Stream SDK: A Developer's Guide

Vemula, Anand

ISBN 13: 9798325729430

Verlag: Independently published, 2024

Beschreibung

Print on Demand.

Bestandsnummer des Verkäufers I-9798325729430

Bibliografische Details

• Titel: NVIDIA TAO Toolkit and Deep Stream SDK: A Developer's Guide
• Verlag: Independently published
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-13: 9798325729430
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

This book equips you with the skills to build and deploy custom vision AI applications for real-time video analysis. Whether you're a developer, researcher, or enthusiast, you'll gain a comprehensive understanding of NVIDIA's powerful toolkit, from training models to real-world deployment.

Part 1: Introduction to Vision AI and Deep Learning

• Lays the groundwork for computer vision and deep learning concepts.
• Explains how these technologies are used in real-world applications.
• Introduces NVIDIA TAO and DeepStream, your one-stop shop for vision AI development.

Part 2: NVIDIA TAO Toolkit - Your Vision AI Training Companion

• Guides you through setting up and navigating the user-friendly TAO interface.
• Explains how to prepare your data for efficient model training.
• Covers techniques for leveraging pre-trained models and adding new classes.
• Dives into model training optimization and explores methods for reducing model size for deployment.
• Teaches you how to export your trained models for seamless integration with DeepStream.

Part 3: NVIDIA DeepStream SDK - Unleashing Your Vision AI in Real-Time

• Unveils the core functionalities and architecture of DeepStream for real-time video analytics.
• Explains how DeepStream leverages GStreamer, a powerful framework, for efficient data processing.
• Provides step-by-step guidance on building real-time video analytics pipelines using DeepStream.
• Explores various DeepStream plugins for common tasks like decoding, inference, and displaying results.
• Demonstrates how to integrate your TAO models into DeepStream pipelines for real-world applications.

Part 4: Deployment and Optimization - Taking Your DeepStream Applications to the Real World

• Explores different deployment options for your DeepStream applications, from edge devices to cloud servers.
• Provides optimization techniques to ensure your applications run smoothly and efficiently.
• Covers methods for improving inference speed and resource utilization.
• Explains how to profile and debug your DeepStream pipelines for optimal performance.

By combining the power of TAO for model training with DeepStream for real-time deployment, you'll be equipped to build cutting-edge vision AI applications that analyze and understand the visual world around you. Get started today and unlock the potential of real-time video analytics!