Project Title

jetson-inference — Deploying Deep Learning Inference Networks on NVIDIA Jetson Devices

Overview

jetson-inference is an open-source project that provides a comprehensive guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson devices. It enables developers to run optimized networks on GPUs using C++ or Python, and leverages PyTorch for model training. The project supports various DNN vision primitives, including image classification, object detection, semantic segmentation, pose estimation, and action recognition.

Key Features

Integration with TensorRT for optimized network performance on GPUs
Support for multiple deep learning primitives: imageNet, detectNet, segNet, poseNet, and actionNet
Examples for streaming from live camera feeds and creating webapps with WebRTC
Support for ROS/ROS2
Comprehensive tutorials for inference and transfer learning onboard Jetson devices

Use Cases

Real-time image classification and object detection in surveillance systems
Semantic segmentation for autonomous vehicles and robotics
Pose estimation for human-computer interaction and gesture recognition
Action recognition for video analysis and sports analytics

Advantages

Utilizes TensorRT for high-performance inference on NVIDIA Jetson devices
Offers a wide range of pre-trained models and support for custom model training with PyTorch
Provides extensive documentation and examples for various use cases
Supports integration with live camera feeds and web applications

Limitations / Considerations

The project is specifically designed for NVIDIA Jetson devices, limiting its applicability to other hardware platforms
Custom model training and deployment may require significant computational resources and expertise in deep learning

OpenCV: A comprehensive computer vision library, but without the specific focus on NVIDIA Jetson devices and TensorRT optimization.
TensorFlow Lite: A framework for on-device machine learning, offering a different set of tools and optimizations compared to jetson-inference.
PyTorch Mobile: Aims to bring PyTorch models to mobile and embedded devices, but without the Jetson-specific optimizations and support.

Basic Information

GitHub: https://github.com/dusty-nv/jetson-inference
Stars: 8,540
License: Unknown
Last Commit: 2025-10-05

📊 Project Information

Project Name: jetson-inference
GitHub URL: https://github.com/dusty-nv/jetson-inference
Programming Language: C++
⭐ Stars: 8,540
🍴 Forks: 3,082
📅 Created: 2016-07-30
🔄 Last Updated: 2025-10-05

🏷️ Project Topics

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📚 Documentation

🎥 Video Tutorials

Video Walkthroughs

DNN library
NVIDIA Jetson
TensorRT
Hello AI World
Hello AI World

This article is automatically generated by AI based on GitHub project information and README content analysis

jetson-inference

Project Description