Results: https://wandb.ai/i4ds_radio_sunburst_detection/radio_sunburst_detection/reports/Radio-Sunburst-Detector--Vmlldzo1NTkwNDQy
main.py: Main script to execute the entire pipeline. Updated parameters.modelbuilder.py: Contains code for building and compiling models. Fixed transfer learning issues.train_utils.py: Utilities for training models. Formatted with Black.
Data Preparation and Generation
data_generation.ipynb: Notebook with scripts for data generation. Added background subtraction.create_background_images.ipynb: Scripts to generate background images.configure_dataframes.py: Manages DataFrame configurations. Cleaned up and formatted.extract_instrument_data.py: Scripts for specific instrument data extraction.burst_data_generation.py: Scripts for generating burst-specific data.non_burst_data_generation.py: Scripts for generating non-burst data.
Data Inspection and Validation
check_data.ipynb: Notebook to check data statistics.check_labels.ipynb: Notebook to validate label information.check_labels.py: Script version for checking labels.
Configuration and Parameters
config.yaml: YAML configuration file. Introduced wandb support.sweep.yaml: YAML file for wandb sweep configurations.sweep_no_folds.yaml: Alternate sweep configuration without folds.
metric_utils.py: Utility functions for metrics. Added batch size parameter.model_analysis.ipynb: Notebook for model analysis using tf-explain.
requirements.txt: List of Python dependencies.sbatch.sh: Batch job script.sbatch_main.sh: Main batch job script..gitignore: Ignored files and directories.README.md: Repository readme file. Added hello.
burst_list.xlsx: Excel sheet containing list of bursts.data.xlsx: Prepared data in Excel format.
original_image.png: Sample original image.processed_image.png: Sample processed image.
model_base_configs: Older model configurations.