scripts/docker_build_ros.sh foxy # build only foxy Accelerated AI ROS and ROS 2 packages scripts/docker_build_ros.sh eloquent # build only eloquent scripts/docker_build_ros.sh noetic # build only noetic scripts/docker_build_ros.sh melodic # build only melodic scripts/docker_build_ros.sh all # build all: melodic, noetic, eloquent, foxy To build the containers, clone the repo on your Jetson device running NVIDIA JetPack 4.4 or newer, and run the ROS build script: $ git clone With the containers, using these versions of ROS and ROS 2 is the same, regardless of the underlying OS distribution. In contrast, Foxy and Noetic are built from the source inside the container, as those versions only come prebuilt for Ubuntu 20.04. #Nanosaur 2 windows serial number install#These containers provide an automated and reliable way to install ROS and ROS 2 on Jetson and build your own ROS-based applications.īecause Eloquent and Melodic already provide prebuilt packages for Ubuntu 18.04, the Dockerfiles, install these versions of ROS into the containers. 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.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |