Metadata-Version: 2.1
Name: openpack-toolkit
Version: 0.2.0
Summary: Toolkit for OpenPack Dataset
Home-page: https://open-pack.github.io
License: MIT
Author: Yoshimura Naoya
Requires-Python: >=3.7.11,<3.10
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: numpy (<1.22.0)
Requires-Dist: pandas (>=1.2.4)
Requires-Dist: sklearn (>=0.0)
Project-URL: Repository, https://github.com/open-pack/open-pack-toolkit
Description-Content-Type: text/markdown

# OpenPack Dataset Toolkit (optk)

![OpenPack Challenge Logo](./img/OpenPackCHALLENG-black.png)

"OpenPack Dataset" is a new large-scale multi modal dataset of manual packing process.
OpenPack is an open access logistics-dataset for human activity recognition, which contains human movement and package information from 17 distinct subjects.
This repository provide utilities to explore our exciting dataset.

## Setup

We provide some utility functions as python package. You can install via pip with the following command.

```bash
# Pip
pip install openpack-toolkit

# Poetry
poetry add  openpack-toolkit
```

## Documentation

- [Dataset Page](https://open-pack.github.io/)
- API Docs (Comming soon...)

## Examples (PyTorch)

See [openpack-torch](https://github.com/open-pack/openpack-torch) for more dietail.

- [U-Net with Accelration Data](https://github.com/open-pack/openpack-torch/tree/main/examples/unet)
- [ST-GCN with Keypoints Data](https://github.com/open-pack/openpack-torch/tree/main/examples/st-gcn)

## License

openpack-toolkit has a MIT license, as found in the [LICENSE](./LICENCE) file.

----

## Generate Document

```bash
pdoc --html --output-dir docs --force openpack_toolkit/
```

