ros2_openvino_toolkit

ROS2 Version supported:

• [x] ROS2 Dashing
• [x] ROS2 Eloquent
• [x] ROS2 Foxy

Inference Features supported:

• [x] Object Detection
• [x] Face Detection
• [x] Age-Gender Recognition
• [x] Emotion Recognition
• [x] Head Pose Estimation
• [x] Object Segmentation
• [x] Person Re-Identification
• [x] Vehicle Attribute Detection
• [x] Vehicle License Plate Detection

Introduction

The OpenVINO™ (Open visual inference and neural network optimization) toolkit provides a ROS-adaptered runtime framework of neural network which quickly deploys applications and solutions for vision inference. By leveraging Intel® OpenVINO™ toolkit and corresponding libraries, this ROS2 runtime framework extends workloads across Intel® hardware (including accelerators) and maximizes performance.

See more from here for Intel OpenVINO™ introduction.

Prerequisite

• Processor: A platform with Intel processors assembled. (see here for the full list of Intel processors supported.)
• OS: Ubuntu 18.04
• ROS2: Foxy Fitzroy
• OpenVINO: V2020.3, see the release notes for more info.
• [Optional] RealSense D400 Series Camera
• [Optional] Intel NCS2 Stick

Tables of contents

• Design Architecture and Logic Flow
• Supported Features
• Tutorials
  • How to configure a inference pipeline?
  • How to create multiple pipelines in a process?

Installation & Launching

See Getting Start Pages for ROS2 Dashing or ROS2 Foxy for detailed installation & lauching instructions.

More Information

• ROS2 OpenVINO discription writen in Chinese: https://mp.weixin.qq.com/s/BgG3RGauv5pmHzV_hkVAdw

Any security issue should be reported using process at https://01.org/security