The Perception package provides a toolkit for generating large-scale datasets for perception-based machine learning, training and validation. It is focused on capturing ground truth for Camera-based use cases. In the future, the Perception package will include other types of sensors and machine learning tasks.
This package is available as a preview, so it is not ready for production use. The features and documentation in this package might change before it is verified for release.
Visit the pages below for in-depth documentation on inidividual components of the package.
|[DatasetCapture](DatasetCapture.md)|Ensures sensors are triggered at proper rates and accepts data for the JSON dataset.|
|[Randomization (Experimental)](Randomization/Index.md)|The Randomization tool set lets you integrate domain randomization principles into your simulation.|
## Getting Started
## Known issues
* The Linux Editor 2019.4.7f1 and 2019.4.8f1 might hang when importing HDRP-based Perception projects. For Linux Editor support, use 2019.4.6f1 or 2020.1
Get your local Perception workspace up and running quickly. Recommended for users with prior Unity experience.
## Preview package
### Example projects using Perception
This package is available as a preview, so it is not ready for production use. The features and documentation in this package might change before it is verified for release.
## Example projects using Perception
### SynthDet
#### SynthDet
### Unity Simulation Smart Camera example
#### Unity Simulation Smart Camera example
## Known issues
* The Linux Editor 2019.4.7f1 and 2019.4.8f1 might hang when importing HDRP-based Perception projects. For Linux Editor support, use 2019.4.6f1 or 2020.1
GitHub