Radio Sunburst Detector

Results: https://wandb.ai/i4ds_radio_sunburst_detection/radio_sunburst_detection/reports/Radio-Sunburst-Detector--Vmlldzo1NTkwNDQy

Core Scripts

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.

Metrics and Analysis

metric_utils.py: Utility functions for metrics. Added batch size parameter.
model_analysis.ipynb: Notebook for model analysis using tf-explain.

Misc

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.

Data Files

burst_list.xlsx: Excel sheet containing list of bursts.
data.xlsx: Prepared data in Excel format.

Images

original_image.png: Sample original image.
processed_image.png: Sample processed image.

Legacy/Deprecated

model_base_configs: Older model configurations.