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

Ritesh Kanjee

₱14799.99

1 (1 Ratings)

Video May 2024 5hrs 42mins 1st Edition

Ritesh Kanjee

₱14799.99

1 (1 Ratings)

Video May 2024 5hrs 42mins 1st Edition

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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.

Who is this book for?

This course is ideal for AI researchers, robotics engineers, and software developers who have a basic understanding of AI principles and familiarity with programming concepts. Learners should be comfortable with Python and have an interest in deep learning and computer vision applications.