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Jetson Nano Starter to Pro - A Computer Vision Course

You're reading from   Jetson Nano Starter to Pro - A Computer Vision Course Empowering AI Innovations with NVIDIA Jetson

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Product type Video
Published in May 2024
Publisher Packt
ISBN-13 9781836202455
Length 5hrs 42mins
Edition 1st Edition
Tools
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Authors (2):
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Ritesh Kanjee Ritesh Kanjee
Author Profile Icon Ritesh Kanjee
Ritesh Kanjee
Augmented AI Augmented AI
Author Profile Icon Augmented AI
Augmented AI
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Toc

Table of Contents (16) Chapters Close

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