ros_deep_learning
Deep learning inference nodes for ROS/ROS2 with support for NVIDIA Jetson devices and TensorRT.
What is ros_deep_learning?
ros_deep_learning is a ROS/ROS2 package that provides deep learning inference nodes for computer vision tasks on NVIDIA Jetson embedded platforms. It solves the problem of integrating real-time AI perception—like object detection and image classification—into robotic systems by offering optimized nodes that leverage TensorRT for performance. The package includes nodes for multiple DNN tasks and supports various camera and streaming inputs.
Robotics engineers and researchers developing perception systems for autonomous robots, drones, or embedded AI applications using ROS/ROS2 on NVIDIA Jetson hardware.
Developers choose ros_deep_learning for its tight integration with the ROS ecosystem, support for both ROS1 and ROS2, and optimized performance on Jetson devices via TensorRT. It provides a ready-to-use solution with pretrained models while allowing customization with user-trained models, reducing the development time for AI-powered robotics.
Overview
Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT
Use Cases
Best For
- Adding real-time object detection to a ROS-based mobile robot
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