inference and jetson-inference
These are complements: inference is a general-purpose vision inference server deployable across devices, while jetson-inference is a specialized framework optimized for NVIDIA Jetson hardware that could serve as a backend or alternative runtime for the same computer vision deployment use cases.
About inference
roboflow/inference
Turn any computer or edge device into a command center for your computer vision projects.
Provides a self-hosted inference server with composable Workflows—DAG-based blocks for chaining models, tracking, and business logic—supporting both custom fine-tuned models and foundation models (Florence-2, CLIP, SAM2). Integrates traditional CV methods (OCR, barcode reading, template matching), video stream management, and external APIs; deploys via Docker with GPU acceleration and exposes functionality through a Python SDK and REST API.
About jetson-inference
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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