Ros_deep_learning

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ros_deep_learning provides deep learning inference nodes for ROS/ROS2, supporting NVIDIA Jetson devices and TensorRT. It includes nodes for image recognition, object detection, and semantic segmentation, enabling robotics developers to integrate AI capabilities.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is ros_deep_learning?

ros_deep_learning offers deep learning inference nodes for ROS/ROS2, specifically designed for NVIDIA Jetson Nano, TX1, TX2, Xavier, and Orin devices, leveraging TensorRT for optimized performance. This package integrates DNNs from the jetson-inference library, providing pre-trained networks for image classification, object detection, and semantic segmentation, alongside support for custom user-trained models. It includes camera and video streaming nodes compatible with MIPI CSI, V4L2, RTP/RTSP, WebRTC, video files, and image sequences. The tool supports various ROS distributions, including Melodic, Noetic, Foxy, Galactic, Humble, and Iron, and can be installed via source or pre-built containers, making it a versatile solution for robotics developers.

Best used for

Ideal for developers who need to integrate advanced deep learning capabilities into their ROS/ROS2 robotics projects, deploy AI models on NVIDIA Jetson devices, and process real-time camera and video streams for tasks like object detection or semantic segmentation. Especially valuable for robotics engineers building intelligent autonomous systems.

Common actions

integrate deep learning

deploy AI models

process video streams

enable robotic vision

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Capabilities

Key features

Deep learning inference
ROS/ROS2 integration
NVIDIA Jetson support
TensorRT acceleration
Image classification
Object detection
Semantic segmentation

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What NVIDIA Jetson devices are supported by ros_deep_learning?

ros_deep_learning supports a range of NVIDIA Jetson devices, including Jetson Nano, TX1, TX2, Xavier, and Orin. This broad compatibility allows developers to deploy deep learning inference nodes across various Jetson platforms for their ROS/ROS2 applications.

Which ROS/ROS2 distributions are compatible with ros_deep_learning?

The tool is compatible with multiple ROS distributions, including ROS1 (Melodic, Noetic) and ROS2 (Foxy, Galactic, Humble, Iron). This ensures flexibility for developers working with different versions of the Robot Operating System.

Can I use my own custom-trained deep learning models with ros_deep_learning?

Yes, ros_deep_learning allows users to load customized user-trained models in addition to its built-in pre-trained networks. This feature provides flexibility for developers to integrate their specific deep learning solutions into ROS/ROS2 applications.

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