Crates.io | isaac_sim |
lib.rs | isaac_sim |
version | 0.2.0 |
source | src |
created_at | 2024-01-09 23:25:40.603359 |
updated_at | 2024-04-28 16:55:30.307609 |
description | Rust interface for Isaac Sim |
homepage | |
repository | https://github.com/AndrejOrsula/isaac_sim_rs |
max_upload_size | |
id | 1094732 |
size | 14,202 |
Rust interface for NVIDIA Isaac Sim.
This project is in early development and is not ready for production use. Not all of the Isaac Sim API is currently exposed.
Documentation and examples are currently lacking but will be the focus once the crates are more stable.
The workspace contains these packages:
The complete list of dependencies can be found within Dockerfile
.
First, specify the path to existing Isaac Sim and Omniverse Kit installation directories via the following environment variables.
export ISAAC_SIM_PATH=/path/to/isaac_sim
export CARB_APP_PATH="$ISAAC_SIM_PATH/kit"
Add isaac_sim
as a Rust dependency to your Cargo.toml
manifest.
[dependencies]
isaac_sim = { version = "0.2" }
Note that the first build might take up to 50 minutes because OpenUSD will be automatically downloaded and compiled with the vendored
feature enabled. The artifacts will be cached in OUT_DIR
and reused for subsequent builds.
Alternatively, you can specify the path to an existing OpenUSD installation directory via the following environment variable.
export OPENUSD_PATH=/path/to/pxr/openusd
It is highly recommended to use lld
or mold
linker because ld
might currently fail.
To install Docker on your system, you can run
.docker/host/install_docker.bash
to configure Docker with NVIDIA GPU support..docker/host/install_docker.bash
By running the Docker container, you are implicitly agreeing to the NVIDIA Omniverse EULA. If you do not agree to this license agreement, do not use this container.
In order to pull the base Isaac Sim image from the NGC registry, you must first create an account and generate an API key in order to authenticate with the registry.
docker login nvcr.io
To build a new Docker image from Dockerfile
, you can run .docker/build.bash
as shown below.
.docker/build.bash ${TAG:-latest} ${BUILD_ARGS}
To run the Docker container, you can use .docker/run.bash
as shown below.
.docker/run.bash ${TAG:-latest} ${CMD}
To run the Docker container in a development mode (source code mounted as a volume), you can use .docker/dev.bash
as shown below.
.docker/dev.bash ${TAG:-latest} ${CMD}
As an alternative, VS Code users familiar with Dev Containers can modify the included .devcontainer/devcontainer.json
to their needs. For convenience, .devcontainer/open.bash
script is available to open this repository as a Dev Container in VS Code.
.devcontainer/open.bash
To join a running Docker container from another terminal, you can use .docker/join.bash
as shown below.
.docker/join.bash ${CMD:-bash}
This project is not affiliated with NVIDIA Corporation.
This project is dual-licensed to be compatible with the Rust project, under either the MIT or Apache 2.0 licenses.
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.