randgen_omni_dataset | Generate random paths for the omni dataset

by guilhermelawless Python Version: v1.0 License: GPL-3.0

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kandi X-RAY | randgen_omni_dataset Summary

randgen_omni_dataset is a Python library. randgen_omni_dataset has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However randgen_omni_dataset build file is not available. You can download it from GitHub.

You need to test your localization/tracking algorithm for more robots than you have access to, so you desire a simulation environment. However, many of the existing simulators are time-consuming to setup. This package provides a simple to use simulation environment, which displays internal states in rviz-friendly formats. Due to using multiple ROS nodes, it is also multi-threading friendly.

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Support

randgen_omni_dataset has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of randgen_omni_dataset is v1.0

Quality

randgen_omni_dataset has no bugs reported.

Security

randgen_omni_dataset has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

randgen_omni_dataset is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

randgen_omni_dataset releases are available to install and integrate.

randgen_omni_dataset has no build file. You will be need to create the build yourself to build the component from source.

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randgen_omni_dataset Key Features

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randgen_omni_dataset Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install randgen_omni_dataset

You can download it from GitHub.
You can use randgen_omni_dataset like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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