AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Nanosaur 2 windowa4/9/2023 ![]() ![]() To enable you to easily run different versions of ROS 2 on Jetson, we released various Dockerfiles and build scripts for ROS 2 Eloquent, ROS 2 Foxy, ROS Melodic, and ROS Noetic. $docker pull nvidiajetson/l4t-ros-noetic-pytorch:r32.5 $docker pull nvidiajetson/deepstream-ros2-eloquent:5.0.1 $docker pull nvidiajetson/l4t-ros2-eloquent-pytorch:r32.5 $docker pull nvidiajetson/deepstream-ros2-foxy:5.0.1 $docker pull nvidiajetson/l4t-ros2-foxy-pytorch:r32.5 Table 1 shows the pull commands for these Docker images. Widely used developer repositories: torch2trt, trt_pose.ML libraries: scikit-learn, numpy, pillow.DL libraries: PyTorch v1.7.0, TorchVision v0.8.1, TensorRT 7.1.3.ROS 2 Foxy, ROS 2 Eloquent, and ROS Noetic with PyTorch and TensorRT Docker image: The containers are packaged with ROS 2 AI packages accelerated with TensorRT. We include machine learning (ML) libraries including scikit-learn, numpy, and pillow. We provide support for ROS 2 Foxy Fitzroy, ROS 2 Eloquent Elusor, and ROS Noetic with AI frameworks such as PyTorch, NVIDIA TensorRT, and the DeepStream SDK. We also provide Dockerfiles for you to build your own Docker images according to your custom requirements. We offer different Docker images for ROS and ROS 2 with machine learning libraries. Open-source robotics: Community projects.NVIDIA Isaac Sim for robotics applications.This post includes the following helpful resources: ROS and ROS 2 with AI acceleration on NVIDIA Jetson platform. ![]()
0 Comments
Read More
Leave a Reply. |