PyTorch extention to work around with OpenPack dataset
Project description
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
Examples
Operation Recognition (Semantic Segmentation)
IMU
- Acceleration
Vision
- Keypoints
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 |
ST-GCN | 0.7024 | 0.6106 | 2022-07-07 | main.py |
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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