final_regression_inference.py
code to run the test data set
final_regression_mode_fcn_resnet.py
main code to run the fcn-resnet model
final_regression_model_unet.py
contains the unet model
final_regression_unet.py
main code to run the network with the unet model
final_train_data_loader_fcn_resnet.py
dataloader to load the data for the fcn resnet model
final_train_data_loader_unet.py
dataloader to load the data for the unet model
histogram.py
plots the histograms of the input data
histogramFinalData.py
plots the histograms of the final data
metrics.py
function to compute the metrics for evaluation
metrices_with_RMSE.py
same as metrics.py, additional RMSE computation
plottingImages.py
script for plotting the h5 images
preprocessing_Lab2.py
Code for preprocessing the given data. Computes the images which are used for the training in the network