openpack-torch

PyTorch utilities to work around with OpenPack Dataset.

Setup

You can install via pip with the following command.

# Pip
pip install openpack-torch

# Poetry
poetry add  openpack-torch

Docs

• Dataset Page
• API Docs
• PyPI - openpack-torch

Examples

See ./examples/README.md

Operation Recognition (Semantic Segmentation)

IMU

• Acceleration
  • U-Net (PyTorch Model)
  • DeepConvLSTM (PyTorch Model)

Vision

• Keypoints
  • ST-GCN (PyTorch Model)

Scores of Baseline Moodel (Preliminary Experiments)

Split: Pilot Challenge

Model	F1 (Test Set)	F1 (Submission Set)	Date	Code
UNet	0.3451	0.3747	2022-06-28	run_unet.py
DeepConvLSTM	0.7081	0.7695	2022-06-28	run_dcl.py
ST-GCN	0.7024	0.6106	2022-07-07	run_stgcn.py

NOTE: F1 = F1-measure (macro average)

Split: OpenPack Challenge 2022

This split is defined for OpenPack Challenge 2022.

Model	F1 (Test Set)	F1 (Submission Set)	Date	Code
UNet	TBA	TBA	-	-
DeepConvLSTM	TBA	TBA	-	-
ST-GCN	TBA	TBA	-	-

OpenPack Challenge 2022 @ PerCom2023 WS Bird

We are hosting an activity recognition competition, using the OpenPack dataset at a PerCom 2023 Workshop! The task is very simple: Recognize 10 work operations from the OpenPack dataset. Please join this exciting opportunity. For more information about the competition, click here.

Tutorials

• Train a baseline model and make submission file.
• Change input modalities.

LICENCE

This software (openpack-torch) is distributed under MIT Licence. For the license of "OpenPack Dataset", please check this site (https://open-pack.github.io/).