Sihyun Lee

This repository contains the CI-Net processing, training, inference, and validation code. The directories under code follow the processing order: 1. datapreparing: read and align satellite and radar inputs. 2. labeling: create cloud labels. 3. finalpreprocess: convert the prepared fields into model input files. 4. training: train the model and run inference. 5. validation: create validation targets and calculate validation metrics. Each code directory contains Python files in src and its configuration and shell entry points in run. rawdata contains the input example included with this repository. result contains prepared data, model files, inference outputs, and validation outputs. See…