Perception

The Perception package provides a toolkit for generating large-scale datasets for perception-based machine learning training and validation. It is focused on a handful of camera-based use cases for now and will ultimately expand to other forms of sensors and machine learning tasks.

com.unity.perception is in active development. Its features and API are subject to significant change as development progresses.

Documentation

Quick Installation Instructions

Perception Tutorial: Detailed instructions covering all the important step from installing Unity Editor, to creating your first Perception project and generating large-scale synthetic datasets by leveraging the power of Unity Simulation.

Perception Manual: Sample projects and documentation of the SDK.

Local development

The repository includes two projects for local development in TestProjects folder, one set up for HDRP and the other for URP.

Suggested IDE Setup

For closest standards conformity and best experience overall, JetBrains Rider or Visual Studio w/ JetBrains Resharper are suggested. For optimal experience, perform the following additional steps:

• To allow navigating to code in all packages included in your project, in your Unity Editor, navigate to Edit -> Preferences... -> External Tools and check Generate all .csproj files.
• To get automatic feedback and fixups on formatting and naming convention violations, set up Rider/JetBrains with our Unity standard .dotsettings file by following these instructions.
• If you use VS Code, install the Editorconfig extension to get automatic code formatting according to our convention

License

• License

Citation

If you find this package useful, consider citing it using:

@misc{com.unity.perception2020,
    title={Unity {P}erception Package},
    author={{Unity Technologies}},
    howpublished={\url{https://github.com/Unity-Technologies/com.unity.perception}},
    year={2020}
}