OpenSTARLab Event Modeling package
Introduction
The OpenSTARLab Event package is the fundamental package for event modeling. It is designed to provide a simple and efficient way to train, inference, and simulate events. This package supports the data preprocessed by the OpenSTARLab PreProcessing package.
This package is continuously evolving to support future OpenSTARLab projects. If you have any suggestions or encounter any bugs, please feel free to open an issue.
Soccer Event Modeling
Table: Comparison of model performance on soccer event prediction
Note: Arrows indicate whether a higher (↑) or lower (↓) value is better.
Models are ranked by publication year. Bold values indicate the best performance (unrounded).
For more details refer to our paper
Wyscout Dataset
| Model (Year) | Action Acc. ↑ | Action F1 ↑ | Time-MAE ↓ | X-MAE ↓ | Y-MAE ↓ | FLOPs | Num Params |
|---|---|---|---|---|---|---|---|
| MAJ | 0.57 | 0.08 | 3.60 | 18.97 | 52.55 | - | - |
| Seq2Event (2022) | 0.67 | 0.16 | 3.41 | 7.11 | 15.72 | 112M | 135K |
| NMSTPP (2023) | 0.67 | 0.17 | 3.34 | 6.94 | 15.08 | 296M | 121K |
| LEM_1 (2024) | 0.67 | 0.17 | 3.07 | 8.34 | 21.44 | 50M | 98K |
| LEM_3 (2024) | 0.67 | 0.20 | 2.69 | 7.62 | 21.83 | 20M | 39K |
| FMS (2024) | 0.67 | 0.16 | 3.27 | 11.27 | 24.19 | 930M | 782K |
StatsBomb Dataset
| Model (Year) | Action Acc. ↑ | Action F1 ↑ | Time-MAE ↓ | X-MAE ↓ | Y-MAE ↓ | FLOPs | Num Params |
|---|---|---|---|---|---|---|---|
| MAJ | 0.40 | 0.06 | 2.76 | 20.72 | 33.32 | - | - |
| Seq2Event (2022) | 0.65 | 0.23 | 2.43 | 7.22 | 6.86 | 4.03B | 413K |
| NMSTPP (2023) | 0.65 | 0.23 | 2.53 | 7.38 | 6.86 | 2.02B | 217K |
| LEM_1 (2024) | 0.65 | 0.24 | 2.23 | 7.36 | 8.21 | 66M | 128K |
| LEM_3 (2024) | 0.66 | 0.25 | 2.07 | 7.07 | 8.32 | 19M | 38K |
| FMS (2024) | 0.65 | 0.24 | 2.35 | 7.77 | 8.82 | 3.66B | 1.29M |
Installation
- Install pytorch (recommended version 2.4.0 linux pip python3.8 cuda12.1)
pip install torch torchvision torchaudio
- To install this package via PyPI
pip install openstarlab-event
- To install manually
git clone git@github.com:open-starlab/Event.git
cd ./Event
pip install -e .
Current Features
Sports
RoadMap
- Release the package
- Provide pre-trained models
Other Information
Development torch version
version 2.4.0 linux pip python3.8 cuda12.1
Developer
 Calvin Yeung 💻 |
 Keisuke Fujii 🧑💻 |
1 maintainer
Metadata
1 maintainer
Release files for openstarlab-event 0.1.25
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Total release size: 155.7 kB
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