Jetson Nano starter to pro

• Titel: Jetson Nano starter to pro
• Titelzusatz: a computer vision course
• Mitwirkende: Kanjee, Ritesh [VerfasserIn]
• Institutionen: Packt Publishing, [Verlag]
• Verf.angabe: by Augmented Startups, Ritesh Kanjee
• Ausgabe: [First edition].
• Verlagsort: [Birmingham, United Kingdom]
• Verlag: Packt Publishing Ltd.
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (5 hr., 42 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O'Reilly, viewed May 14, 2024)
• ISBN: 978-1-83620-245-5
• ISBN: 1-83620-245-8
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Internet des objets
• Sach-SW: Intelligence artificielle
• Sach-SW: artificial intelligence
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1890483230
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4533706541
• Lokale URL Inst.: Zum Volltext

Abstract

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.