dusty-nv/jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Provides C++ and Python APIs for five specialized DNN vision tasks—image classification, object detection, semantic segmentation, pose estimation, and action recognition—optimized through TensorRT for real-time inference on Jetson hardware. Includes end-to-end tutorials for transfer learning with PyTorch, model deployment, live camera streaming, and WebRTC-based web applications with ROS/ROS2 integration. Supports both training onboard Jetson devices and leverages pre-trained models from NVIDIA's Model Zoo for rapid prototyping.
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C++
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MIT
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Last pushed
Oct 16, 2025
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