Ros2_yolos_cpp High-Performance ROS 2 Wrappers for YOLOs-CPP [All models + All tasks]

[Geekgineer]

Hi everyone!

I’m the author of ros2_yolos_cpp and YOLOs-CPP. I’m excited to share the first public release of this ROS 2 package!

Repository: ros2_yolos_cpp

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What Is ros2_yolos_cpp?

ros2_yolos_cpp is a production-ready ROS 2 interface for the YOLOs-CPP inference engine — a high-performance, unified C++ library for YOLO models (v5 through v12 and YOLO26) built on ONNX Runtime and OpenCV.

This package provides composable and lifecycle-managed ROS 2 nodes for real-time:

• Object Detection
• Instance Segmentation
• Pose Estimation
• Oriented Bounding Boxes (OBB)
• Image Classification

All powered through ONNX models and optimized for both CPU and GPU inference.

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Key Features

• ROS 2 Lifecycle Nodes
  Full support for ROS 2 managed node lifecycle (configure, activate, etc.)

• Composable Nodes
  Efficient multi-model, multi-node setups in a single process

• Zero-Copy Image Transport
  Optimized subscription for high-throughput video pipelines

• All Major Vision Tasks
  Detection, segmentation, pose, OBB, and classification in one stack

• Standardized ROS 2 Messages
  Uses vision_msgs and custom OBB types for interoperability

• Production-Ready
  CI/CD workflows, strict parameters, and reusable launch configurations

Regards,