Computer Vision Deployment on NVIDIA Jetson AGX Xavier
Deploy vision models at the edge: TensorRT optimisation, multi-camera pipelines, containers and real industrial use cases.
Intermediate40 lessons
written lessons≈ 20 h
Heterogeneous Computing & Edge AI · 40 illustrated lessons (text/HTML)
Outcomes
- Set up Jetson with CUDA, OpenCV, PyTorch and TensorRT
- Optimise and deploy YOLO, segmentation and pose models with INT8/FP16
- Build multi-camera edge systems and industrial vision applications
Where we teach this
- VIS-210 · Jetson Camera Pipelines with LibArgus live cohort
The lessons
Every lesson in this curriculum, in the order we teach it.
- 1Introduction to the Jetson AGX Xavier platform
- 2Preparing the Jetson AGX Xavier development environment
- 3The Jetson development toolchain
- 4Linux system basics
- 5Python development environment on Jetson AGX Xavier
- 6Installing and configuring OpenCV on Jetson
- 7CUDA programming basics
- 8Introduction to and installation of TensorRT
- 9Installing PyTorch and TensorFlow on Jetson
- 10Computer vision basics
- 11Image capture and pre-processing
- 12Model training and conversion: ONNX export and quantisation
- 13TensorRT model optimisation: FP16/INT8 quantisation and layer fusion
- 14Deploying YOLO models on Jetson
- 15Deploying semantic-segmentation models in practice
- 16Deploying pose-estimation models in practice
- 17Deploying a face-recognition system in practice
- 18Multi-model inference pipelines
- 19Jetson memory management and optimisation
- 20Jetson AGX Xavier power management and performance tuning
- 21Real-time inference optimisation
- 22Video stream processing
- 23Multi-camera systems: synchronised capture and multi-stream video processing
- 24Model updates and hot deployment
- 25Edge communication: MQTT and ROS 2 on Jetson
- 26Data persistence and logging
- 27Exception handling and system monitoring
- 28Containerised deployment on Jetson in practice
- 29Jetson AGX Xavier NPU test automation in practice
- 30Jetson AGX Xavier security and access control
- 31Industrial vision use cases: defect detection and dimensional measurement
- 32Intelligent transport: vehicle detection and licence-plate recognition
- 33Jetson AGX Xavier security surveillance system in practice
- 34Medical imaging: medical image analysis and lesion detection
- 35Agricultural vision: crop monitoring and pest/disease identification
- 36Robot vision navigation: SLAM and path-planning integration
- 37Drone vision: target tracking and autonomous obstacle avoidance
- 38Retail vision analytics: footfall counting and product recognition
- 39Project overview
- 40Course summary
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