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Jetson Nano Starter to Pro - A Computer Vision Course [Video]
Jetson Nano Starter to Pro - A Computer Vision Course [Video]

Jetson Nano Starter to Pro - A Computer Vision Course: Empowering AI Innovations with NVIDIA Jetson [Video]

By Augmented AI , Ritesh Kanjee
$289.99
Video May 2024 5 hours 42 minutes 1st Edition
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$289.99
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$289.99
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Renews at $15.99p/m

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Key benefits

  • Comprehensive coverage from basic setup to advanced AI implementations
  • Learn to optimize AI models with TensorRT for enhanced performance
  • Develop real-time AI applications using the DeepStream SDK

Description

This course begins with a thorough introduction to Jetson, highlighting its advantages over traditional microcontrollers like the Raspberry Pi. You'll learn how to select the right SD card, flash it effectively, and perform initial configurations to set the stage for advanced developments. As you progress, delve into installing key AI libraries like OpenCV and PyTorch. Understand their roles in crafting robust AI solutions and enhance their performance with CUDA support. The course offers guidance on fundamental computer vision techniques, enabling seamless image operations, color conversions, and edge detections. Explore object detection with YOLO and its variants through practical examples. Learn to train custom models like number plate recognition and optimize AI models using NVIDIA's TensorRT for enhanced performance. Dive deep into the DeepStream SDK for real-time video analysis and multi-camera synchronization, vital for security and surveillance applications. Explore advanced topics like pose estimation, vehicle tracking, and face recognition, all with hands-on projects to reinforce learning. By the end, you will have mastered how to use this powerful platform to push the boundaries of what's possible in AI applications, making you a valuable asset in the tech industry.

What you will learn

Configure and initialize NVIDIA Jetson platforms Compare Jetson with Raspberry Pi for technological advantages Install and utilize key libraries like OpenCV and PyTorch on Jetson Execute basic to advanced computer vision operations using OpenCV Implement YOLO object detection on custom datasets Integrate multiple camera inputs using RTSP and ONVIF protocols

Product Details

Country selected

Publication date : May 8, 2024
Length 5 hours 42 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781836202455
Category :
Languages :
Tools :

What do you get with a video?

Product feature icon Download this video in MP4 format
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details


Publication date : May 8, 2024
Length 5 hours 42 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781836202455
Category :
Languages :
Tools :

Table of Contents

16 Chapters
1. Introduction to Jetson and Course Overview Chevron down icon Chevron up icon
2. Comparison of Jetson and Its Variants Along with RPi+SD Card Flashing Chevron down icon Chevron up icon
3. Installing Libraries and Setting Up AI Computer - Explain Dependencies and Their Use Chevron down icon Chevron up icon
4. Computer Vision OpenCV Basics on Jetson + Pytorch Chevron down icon Chevron up icon
5. What is Object Detection + Yolo Object Detection Chevron down icon Chevron up icon
6. YOLO Object Detection on Custom Dataset (Number Plate Dataset) Chevron down icon Chevron up icon
7. What is TensorRT? Setting Up Jetson for TensorRT Chevron down icon Chevron up icon
8. Optimizing YOLOX Model for Object Detection Using TensorRT Chevron down icon Chevron up icon
9. What is DeepStream and Theory? Chevron down icon Chevron up icon
10. Running DeepStream SDK and Setting up Multiple Cameras Chevron down icon Chevron up icon
11. App 1 Car detection + Tracking + Counting Chevron down icon Chevron up icon
12. Automatic Number Plate Recognition with Paddle OCR Chevron down icon Chevron up icon
13. Pose Estimation Method 1: PoseNet Chevron down icon Chevron up icon
14. Pose Estimation Method 2: PoseNet Chevron down icon Chevron up icon
15. DeepFake face classification Chevron down icon Chevron up icon
16. Face Recognition and Attendance: Clock in, clock out. Chevron down icon Chevron up icon

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