LOFAR_machine_learning

LOFAR_machine_learning/unet

unet.py for training the model using LOFAR Long Term Archive images
unet_vsrc.py for training the model using VSRC spectograms
unet_load.py for loading already trained models from LOFAR_machine_learning/saved models
/saved_figs for graphs with predicted images
/check_gpu has scripts to check gpu availability for tensorflow and pytorch

LOFAR_machine_learning/aoflag

flag_images.py generate masks for RFI pixels
/strategies/flag_images.py lua files for aoflagger strategies

LOFAR_machine_learning/LOFAR

/LOFAR subset 100/ pkl files for 100 LOFAR Long Term Archive images and generated AOFlagger masks (not on GIT)
/LOFAR subset 1000/ pkl files for 1000 LOFAR Long Term Archive images and generated AOFlagger masks (not on GIT)
/VSRC_data/ VSRC LOFAR generated image examples (Currently not ) save_subset.py for generating subsets of images from original LOFAR Long Term Archive images (total amount 72 thousand images)
check_subset.py for checking images in generated subsets

Download dataset from: https://zenodo.org/record/6724065#.ZEbiCnZBybi and use save_subset.py to generate necessary subsets**

NOT ON GIT

LOFAR data (bst format) before image creation
VSRC created code for spectogram creation
Generated spectogram images and prepared dataset