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 | 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
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/).
1 maintainer
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