skynet-train-data-prep.md

Using label-maker with skynet-train

Background

skynet-data is a tool developed specifically to prepare data for skynet-train, an implementation of SegNet. skynet-data predates label-maker and prepares data in a very similar way: download OpenStreetMap data and satellite imagery tiles for use in Machine Learning training. Eventually, skynet-data will be deprecated as most of it's functionality can be replicated using label-maker.

Preparing data

skynet-train requires a few separate files specific to caffe. To create these files, we've created a utility script to help connect label-maker with skynet-train. First, prepare segmentation labels and images with label-maker by running download, labels, and images from the command line, following instructions from the other examples or the README. Then, in your data folder (the script uses relative paths), run:

python utils/skynet.py

This should create the files (train.txt, val.txt, and label-stats.csv) which are needed for running skynet-train

Training

Now you can mount your data folder as shown in the skynet-train instructions and training should begin.