7-1 PyTorch Environment Setup
Initial environment setup ➤ For the installation of JetPack and Python related tools, you can review: \[ Chapter 2 3: Installing the Jetson Component Envir
7-2 TorchVision Environment Setup
Initial environment setup ➤ For the installation of JetPack and Python related tools, you can review: \[ Chapter 2 3: Installing the Jetson Component Envir
7-3 DeepStream Environment
Learning Objectives 1\. Understand the Positioning and Architecture of DeepStream ( 1 ) Understand that DeepStream is an AI streaming analytics toolkit bui
7-4 Four types of Detection ( Traffic )
Learning Objectives We run DeepStream app (the reference application) using a single 1080p H.264 video file as input. Through two MultiURI sources, we repl
7-5 YOLO Environment Setup
This chapter will guide you through setting up the YOLO11 runtime environment on the NVIDIA Jetson Orin NX and its Jetson Linux operating system. It covers
7-6 Object Detection
Learning Objectives Object Detection is an important task in computer vision. Its goal is to enable a computer to identify what objects are present in an i
7-7 Instance Segmentation
Learning Objectives Instance segmentation is a more fine grained task in computer vision than object detection. It not only identifies what an object is an
7-8 Pose Estimation
Learning Objectives Pose Estimation is a task in computer vision aimed at enabling a computer to understand the pose, joint positions, and motion structure
7-9 Image Classification
Learning Objectives Image Classification is one of the most fundamental and common tasks in computer vision. Its goal is to enable a computer to determine
7-10 NanoOWL developmen
Learning Objectives NanoOWL optimizes the OWL ViT model using TensorRT, enabling real time performance on Nvidia Jetson Orin series platforms. OWL ViT is a
7-11 MobileSAM Development
Learning Objectives SAM (Segment Anything Model) is a powerful image segmentation model developed by Meta AI that supports segmentation based on various pr
7-12 VLM Development
Learning Objectives VLM (Vision Language Model) is an AI model capable of understanding both images and natural language. By integrating visual and linguis