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datasetinsights-1.1.2
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Synthetic dataset insights.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | datasetinsights-1.1.2 |
| نام | datasetinsights |
| نسخه کتابخانه | 1.1.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Unity AI Perception Team |
| ایمیل نویسنده | computer-vision@unity3d.com |
| آدرس صفحه اصلی | https://github.com/Unity-Technologies/datasetinsights |
| آدرس اینترنتی | https://pypi.org/project/datasetinsights/ |
| مجوز | Apache-2.0 |
# Dataset Insights
[](https://pypi.org/project/datasetinsights)
[](https://pypi.org/project/datasetinsights)
[](https://pepy.tech/project/datasetinsights)
[](https://github.com/Unity-Technologies/datasetinsights/actions/workflows/linting-and-unittests.yaml?query=branch%3Amaster+event%3Apush)
[](LICENSE)
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
Datasetinsights is published to PyPI. You can simply run `pip install datasetinsights` command under a supported python environments:
## 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.
### Load Datasets
The [Unity Perception](https://datasetinsights.readthedocs.io/en/latest/datasetinsights.datasets.unity_perception.html#datasetinsights-datasets-unity-perception) package provides datasets under this [schema](https://datasetinsights.readthedocs.io/en/latest/Synthetic_Dataset_Schema.html#synthetic-dataset-schema). The datasetinsighs package also provide convenient python modules to parse datasets.
For example, you can load `AnnotationDefinitions` into a python dictionary by providing the corresponding annotation definition ID:
```python
from datasetinsights.datasets.unity_perception import AnnotationDefinitions
annotation_def = AnnotationDefinitions(data_root=dest, version="my_schema_version")
definition_dict = annotation_def.get_definition(def_id="my_definition_id")
```
Similarly, for `MetricDefinitions`:
```python
from datasetinsights.datasets.unity_perception import MetricDefinitions
metric_def = MetricDefinitions(data_root=dest, version="my_schema_version")
definition_dict = metric_def.get_definition(def_id="my_definition_id")
```
The `Captures` table provide the collection of simulation captures and annotations. You can load these records directly as a Pandas `DataFrame`:
```python
from datasetinsights.datasets.unity_perception import Captures
captures = Captures(data_root=dest, version="my_schema_version")
captures_df = captures.filter(def_id="my_definition_id")
```
The `Metrics` table can store simulation metrics for a capture or annotation. You can also load these records as a Pandas `DataFrame`:
```python
from datasetinsights.datasets.unity_perception import Metrics
metrics = Metrics(data_root=dest, version="my_schema_version")
metrics_df = metrics.filter_metrics(def_id="my_definition_id")
```
### Download Datasets
You can download the datasets using the [download](https://datasetinsights.readthedocs.io/en/latest/datasetinsights.commands.html#datasetinsights-commands-download) command:
```bash
datasetinsights download --source-uri=<xxx> --output=$HOME/data
```
The download command supports HTTP(s), and GCS.
Alternatively, you can download dataset directly from python [interface](https://datasetinsights.readthedocs.io/en/latest/datasetinsights.io.downloader.html#module-datasetinsights.io.downloader).
`GCSDatasetDownloader` can download a dataset from GCS locations.
```python
from datasetinsights.io.downloader import GCSDatasetDownloader
source_uri=gs://url/to/file.zip # or gs://url/to/folder
dest = "~/data"
downloader = GCSDatasetDownloader()
downloader.download(source_uri=source_uri, output=dest)
```
`HTTPDatasetDownloader` can a dataset from any HTTP(S) url.
```python
from datasetinsights.io.downloader import HTTPDatasetDownloader
source_uri=http://url.to.file.zip
dest = "~/data"
downloader = HTTPDatasetDownloader()
downloader.download(source_uri=source_uri, output=dest)
```
### Convert Datasets
If you are interested in converting the synthetic dataset to COCO format for
annotations that COCO supports, you can run the `convert` command:
```bash
datasetinsights convert -i <input-directory> -o <output-directory> -f COCO-Instances
```
or
```bash
datasetinsights convert -i <input-directory> -o <output-directory> -f COCO-Keypoints
```
You will need to provide 2D bounding box definition ID in the synthetic dataset. We currently only support 2D bounding box and human keypoint annotations for COCO format.
## Docker
You can use the pre-build docker image [unitytechnologies/datasetinsights](https://hub.docker.com/r/unitytechnologies/datasetinsights) to interact with datasets.
## 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}
}
```
نیازمندی
| مقدار | نام |
|---|---|
| >=0.29.14,<0.30.0 | cython |
| >=1.24.1,<2.0.0 | google-cloud-storage |
| >=1.17,<2.0 | numpy |
| >=5.0.0 | plotly |
| >=0.9.5,<0.10.0 | pyquaternion |
| >=1.2.0,<2.0.0 | codetiming |
| >=1.0.1,<2.0.0 | pandas |
| >=4.45.0,<5.0.0 | tqdm |
| >=2.14.0,<3.0.0 | dask[complete] |
| >=2.3.1,<3.0.0 | dash |
| ==8.0.4 | click |
| >=4.4.0.42,<5.0.0.0 | opencv-python |
| >=3.3.1,<4.0.0 | matplotlib |
| >=1.8.0,<2.0.0 | scipy |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8,<3.11 | Python |
نحوه نصب
نصب پکیج whl datasetinsights-1.1.2:
pip install datasetinsights-1.1.2.whl
نصب پکیج tar.gz datasetinsights-1.1.2:
pip install datasetinsights-1.1.2.tar.gz