-
kowalski.py
: Loads the Kowalski dataset. -
processor/
:photometry_processor.py
: Preprocesses photometry data.alert_processor.py
: Handles alerts, including images and metadata.data_processor.py
: General data preprocessing tasks.
-
supernova_dataset.py
: Aggregates functions from processors for comprehensive data preparation. -
data_generator.py
: Inherits from Keras, manages data during model training. -
Data Loading and Preprocessing:
- Use
kowalski.py
to load data. - Utilize
processor
classes for specific preprocessing needs. supernova_dataset.py
combines all preprocessing steps.
- Use
-
Data Generation for Training:
data_generator.py
provides batch data generation for Keras training.
-
Detailed Function Usage:
- Refer to the
Show_data
notebook for detailed instructions on each function, from loading data to training a model.
- Refer to the