Our team at NVIDIA has created ROS2 containers for NVIDIA Jetson platform based on ROS2 Installation Guide and dusty-nv/jetson-containers
NVIDIA Jetson provides various AI application ROS/ROS2 packages, please find here more information
ROS2 Foxy / Eloquent with PyTorch and TensorRT Docker Image consists of following:
- DL Libraries: PyTorch v1.7.0, TorchVision v0.8.1, NVIDIA TensorRT 7.1.3
- ML Libraries: scikit-learn, numpy etc
- Widely used developer repositories: torch2trt, trt_pose
- ROS2 Packages:
- NVIDIA-AI-IOT/ros2_trt_pose
- NVIDIA-AI-IOT/ros2_trt_pose_hand
ROS2 Foxy / Eloquent NVIDIA DeepStream SDK Docker image consists of following:
- NVIDIA DeepStream SDK for Classification, Object detection
- ROS2 packages: NVIDIA-AI-IOT/ros2_deepstream ,
vision_msgs
All containers will have #cyclonedds support.
To learn more: How to pull docker image and build your own, please follow ReadMe here
We also have released two more new packages for edge AI applications :
- ROS2 Package for Accelerate NVAprilTags: NVIDIA-AI-IOT/ros2-nvapriltags
- NVIDIA TensorRT accelerated ROS2 Package for Hand Pose estimation and Gesture Classification: NVIDIA-AI-IOT/ros2_trt_pose_hand
For previously released package, please find ROS2 WG meeting notes here, GitHub Links here and Blog post here
If you face any problem please open an issue on the GitHub repo and we will try to address them soon.