- Updated `analysis.py` to include new model `DinoSCP8736_1` and adjusted data loading for test dataset.
- Modified `main.py` to use `DinoSCP8736_1` for training and added loss calculation.
- Enhanced `LitSCP8736` class in `model.py` to support per-class F1 score logging.
- Removed obsolete `model_dino.py` file.
- Added new Jupyter notebooks for charts and inference.
- Updated data augmentation strategies in `analysis.py` and `main.py`.
- Cleaned up utility functions in `utils.py` for better clarity and functionality.
- Deleted `list.txt` and `test_loss_results.csv` as they are no longer needed.
- Added new tensorboard output CSV files for tracking model performance.
- Updated requirements to reflect changes in dependencies.