Metadata-Version: 2.1
Name: datasetinsights
Version: 1.0
Summary: Synthetic dataset insights.
Home-page: https://datasetinsights.readthedocs.io/en/latest/Evaluation_Tutorial.html
License: Apache-2.0
Author: Unity AI Perception Team
Author-email: computer-vision@unity3d.com
Requires-Python: >=3.7,<4.0
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Framework :: Jupyter
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Requires-Dist: click (>=7.1.2,<8.0.0)
Requires-Dist: codetiming (>=1.2.0,<2.0.0)
Requires-Dist: cython (>=0.29.14,<0.30.0)
Requires-Dist: dash (==1.12.0)
Requires-Dist: dask[complete] (>=2.14.0,<3.0.0)
Requires-Dist: google-cloud-storage (>=1.24.1,<=1.28.1)
Requires-Dist: jupyter (>=1.0.0,<2.0.0)
Requires-Dist: matplotlib (>=3.3.1,<4.0.0)
Requires-Dist: numpy (>=1.17,<1.18)
Requires-Dist: opencv-python (>=4.4.0.42,<5.0.0.0)
Requires-Dist: pandas (>=1.0.1,<2.0.0)
Requires-Dist: plotly (>=4.4.1,<5.0.0)
Requires-Dist: pyquaternion (>=0.9.5,<0.10.0)
Requires-Dist: tqdm (>=4.45.0,<5.0.0)
Project-URL: Documentation, https://datasetinsights.readthedocs.io/en/latest/
Project-URL: Repository, https://github.com/Unity-Technologies/datasetinsights
Description-Content-Type: text/markdown

# Dataset Insights

Unity Dataset Insights is a python package for downloading, parsing and analyzing synthetic datasets generated using the Unity [Perception package](https://github.com/Unity-Technologies/com.unity.perception).

## Installation

Dataset Insights maintains a pip package for easy installation. It can work in any standard Python environment using `pip install datasetinsights` command. We support Python 3 (3.7 and 3.8).

## Getting Started

### Dataset Statistics

We provide a sample [notebook](notebooks/Perception_Statistics.ipynb) to help you load synthetic datasets generated using [Perception package](https://github.com/Unity-Technologies/com.unity.perception) and visualize dataset statistics. We plan to support other sample Unity projects in the future.

### Dataset Download

You can download the datasets from HTTP(s), GCS, and Unity simulation projects using the 'download' command from CLI or API.

[CLI](https://datasetinsights.readthedocs.io/en/latest/datasetinsights.commands.html#datasetinsights-commands-download)

```bash
datasetinsights download \
  --source-uri=<xxx> \
  --output=$HOME/data
```
[Programmatically](https://datasetinsights.readthedocs.io/en/latest/datasetinsights.io.downloader.html#module-datasetinsights.io.downloader.gcs_downloader)

```python3

from datasetinsights.io.downloader import UnitySimulationDownloader,
GCSDatasetDownloader, HTTPDatasetDownloader

downloader = UnitySimulationDownloader(access_token=access_token)
downloader.download(source_uri=source_uri, output=data_root)

downloader = GCSDatasetDownloader()
downloader.download(source_uri=source_uri, output=data_root)

downloader = HTTPDatasetDownloader()
downloader.download(source_uri=source_uri, output=data_root)

```

## Docker

You can use the pre-build docker image [unitytechnologies/datasetinsights](https://hub.docker.com/r/unitytechnologies/datasetinsights) to run similar commands.

## Documentation

You can find the API documentation on [readthedocs](https://datasetinsights.readthedocs.io/en/latest/).

## Contributing

Please let us know if you encounter a bug by filing an issue. To learn more about making a contribution to Dataset Insights, please see our Contribution [page](CONTRIBUTING.md).

## License

Dataset Insights is licensed under the Apache License, Version 2.0. See [LICENSE](LICENCE) for the full license text.

## Citation
If you find this package useful, consider citing it using:
```
@misc{datasetinsights2020,
    title={Unity {D}ataset {I}nsights Package},
    author={{Unity Technologies}},
    howpublished={\url{https://github.com/Unity-Technologies/datasetinsights}},
    year={2020}
}
```

