Repository for Deep Learning Change Detection on Onera Dataset (https://rcdaudt.github.io/files/2018igarss-change-detection.pdf)
cd_models.py --> DL models
read_and_crop.py --> main functions for the preprocessing phase
train.py --> train the DL model
freeze.py --> function to create a frozen model after training
inference.py --> perform inference and save the change map
history_plot.py --> plots accuracy and loss function saved during training and validation
score_eval.py --> evaluate scores on training data (since there are no labels available for test data