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PyTorch extention to work around with OpenPack dataset

Project description

openpack-torch

Test GitHub Pages

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

Examples

Operation Recognition (Semantic Segmentation)

IMU

Vision

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 main.py
DeepConvLSTM 0.7081 0.7695 2022-06-28 main.py
DeepConvLSTM + Self-Attn 0.8161 0.8409 2022-06-28 main.py
ST-GCN - -

NOTE: F1 = F1-measure (macro average)

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/).

Project details


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