Metadata-Version: 2.1
Name: openpack-torch
Version: 0.1.0
Summary: PyTorch extention to work around with OpenPack dataset
Home-page: https://open-pack.github.io/home
License: MIT
Author: Yoshimura Naoya
Author-email: yoshimura.naoya@ist.osaka-u.ac.jp
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: hydra-core (>=1.2.0,<2.0.0)
Requires-Dist: numpy (<1.22.0)
Requires-Dist: omegaconf (>=2.2.1,<3.0.0)
Requires-Dist: openpack-toolkit (>=0.2.0,<0.3.0)
Requires-Dist: pandas (>=1.2.4,<2.0.0)
Requires-Dist: pytorch-lightning (>=1.6.3,<2.0.0)
Requires-Dist: sklearn (>=0.0)
Requires-Dist: torch (>=1.9.0,<2.0.0)
Requires-Dist: tqdm (>=4.64.0,<5.0.0)
Project-URL: Repository, https://github.com/open-pack/openpack-torch
Description-Content-Type: text/markdown

# openpack-torch

PyTorch utilities to work around with OpenPack Dataset.

## Setup

You can install via pip with the following command.

```bash
# Pip
pip install openpack-toolkit

# Poetry
poetry add  openpack-toolkit
```

## Docs

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

## Examples

### Work Step Recognition (Segmentation)

#### IMU

- Acceleration
  - [U-Net](./examples/unet/) (Coming soon...)

#### Vision

- Keypoints
  - [ST-GCN](./examples/st-gcn)  (Coming soon...)

## LICENCE

[MIT Licence](./LICENSE)

