ros2_openvino_toolkit
Integrates Intel OpenVINO with ROS 2 for efficient deep learning inference in computer vision applications on Intel hardware.
What is ros2_openvino_toolkit?
ros2_openvino_toolkit is an integration framework that connects Intel's OpenVINO deep learning toolkit with ROS 2 (Robot Operating System). It provides tools and libraries to deploy optimized neural network models for computer vision applications in robotics, enabling efficient inference on Intel hardware. The framework handles the entire pipeline from image acquisition through inference to result publishing within the ROS 2 ecosystem.
Robotics developers and researchers working on computer vision applications who need to integrate deep learning models into ROS 2 systems, particularly those using Intel hardware for acceleration.
Developers choose this toolkit because it provides a standardized, optimized bridge between ROS 2 and Intel's hardware-accelerated inference engine, eliminating the need to build custom integration layers and offering pre-configured pipelines for common computer vision tasks.
Overview
This repository provides a set of tools and libraries to integrate Intel® OpenVINO™ Toolkit with ROS 2 (Robot Operating System), enabling efficient deployment of deep learning models for computer vision applications on Intel® hardware.
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