For the full coding pipeline and tutorial please refer to the GitHub repository: https://github.com/EETChallenge/challenge_demo_code

## Training Pipeline Description
The default training pipeline is very handy to use. Simply run the following command with the code in the GitHub repository:
```python
python3 train.py --config sliced_baseline.json
```
This should give a baseline result for a basic CNN+GRU model trained on voxel-grid event representation. The training progress, checkpoints and metrics are all logged with the mlflow library. See the repo for more details.

![Eye movement recorded with event camera](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18771626%2Fe78190165f02d967a7bd8bc992e5ca64%2Fevent-based-eye-movement.gif?generation=1706607242333944&alt=media)