We recommend following the binary install instructions to get up and running as quickly and painlessly as possible.
The source install instructions should be used if you need the very latest software improvements, you need to modify the code, or you plan to make a contribution.
Binary Install
Ubuntu
- Setup your computer to accept software from packages.osrfoundation.org:
- Install Gazebo Sensors # Change <#> to a version number, like 3 or 4sudo apt install libgz-sensors<#>-dev
macOS
- On macOS, add OSRF packages: ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"brew tap osrf/simulation
- Install Gazebo Sensors: brew install gz-sensors<#>
Be sure to replace <#> with a number value, such as 5 or 6, depending on which version you need.
Windows
Binary install is pending gz-rendering and gz-sensors being added to conda-forge.
Source Install
Source installation can be performed in UNIX systems by first installing the necessary prerequisites followed by building from source.
Prerequisites
Gazebo Sensors requires:
- Gazebo CMake
- Gazebo Math
- Gazebo Common
- Gazebo Transport
- Gazebo Rendering
- Gazebo Msgs
- SDFormat
- Protobuf3
Ubuntu
- Make sure you are running Ubuntu Focal or above.
- Install the Prerequisites.
- Clone the repository git clone https://github.com/gazebosim/gz-sensors
- Configure and build cd gz-sensors; mkdir build; cd build; cmake ..; make
- Optionally, install the library sudo make install
macOS
Clone the repository
git clone https://github.com/gazebosim/gz-sensors -b ign-sensors<#>Be sure to replace
<#>with a number value, such as 5 or 6, depending on which version you need.Install dependencies
brew install --only-dependencies ignition-sensors<#>Be sure to replace
<#>with a number value, such as 5 or 6, depending on which version you need.- Configure and build cd gz-sensorsmkdir buildcd buildcmake ..make
- Optionally, install sudo make install
Windows
Install Prerequisites
First, follow the gz-cmake tutorial for installing Conda, Visual Studio, CMake, etc., prerequisites, and creating a Conda environment.
Navigate to condabin if necessary to use the conda command (i.e., if Conda is not in your PATH environment variable. You can find the location of condabin in Anaconda Prompt, where conda).
Create if necessary, and activate a Conda environment:
Install Gazebo dependencies, replacing <#> with the desired versions:
Before gz-rendering becomes available on conda-forge, follow its tutorial to build it from source.
Build from source
- Activate the Conda environment created in the prerequisites: conda activate gz-ws
- Navigate to where you would like to build the library, and clone the repository. # Optionally, append `-b ign-sensors#` (replace # with a number) to check out a specific versiongit clone https://github.com/gazebosim/gz-sensors.git
- Configure and build cd gz-sensorsmkdir buildcd build
- Before
gz-renderingbecomes available on conda-forge, we need to build it from source and specify the path containinggz-rendering-config.cmakeinCMAKE_PREFIX_PATH, for cmake to findgz-rendering. That path could begz-rendering-install-path\lib\cmake\gz-rendering4, for example.cmake .. -DBUILD_TESTING=OFF -DCMAKE_PREFIX_PATH=path\containing\ignition-rendering-config # Optionally, -DCMAKE_INSTALL_PREFIX=path\to\installcmake --build . --config Release - Optionally, install. You will likely need to run a terminal with admin privileges for this call to succeed. cmake --install . --config Release
Documentation
API and tutorials can be found at https://gazebosim.org/libs/sensors.
You can also generate the documentation from a clone of this repository by following these steps.
- You will need Doxygen. On Ubuntu Doxygen can be installed using sudo apt-get install doxygen
- Clone the repository git clone https://github.com/gazebosim/gz-sensors
- Configure and build the documentation. cd gz-sensors; mkdir build; cd build; cmake ../; make doc
- View the documentation by running the following command from the build directory. firefox doxygen/html/index.html
Testing
Follow these steps to run tests and static code analysis in your clone of this repository.
- Run tests. make test
- Static code checker. make codecheck