Final project of CS289
You can train the model by running semanticSeg.py
To train the model, you need to download the dataset from FloodNet Challenge (https://competitions.codalab.org/competitions/30290) and use imageloadAndSplit.py to create training dataset and validation dataset.
By running checkSeg.py, you can obtain final validation score and visual results of semantic segmentation.