This repository contains a modification of the data_utilities repository from the xView challenge.
The script 'process_wv.py' is runnable and processes a folder containing xView imagery along with a groundtruth geojson file to create a TFRecord containing shuffled, chipped, and augmented xView patches in JPEG format. We provide several augmentation functions in 'aug_util.py' for rotating and shifting images and bounding boxes, as well as noise injecting techniques like salt-and-pepper and gaussian blurring. Additionally in 'wv_util.py' we provide several functions for loading, processing, and chipping xView data.
The Jupyter Notebook provided in this repository interactively illustrates an example xView processing pipeline using the provided utility functions.