README.md

In treysp/coolit.train: Train model to identify water cooling towers from aerial orthoimagery

coolit.train

coolit.train is an R package for training a model to identify water cooling towers from high-resolution aerial imagery. It consists of functions for:

• Slicing large images into smaller pieces the model can use
• Training a convolutional neural network model on slices known to either contain a cooling tower or not
• Scoring slices with a trained model

This repo contains both functions (as a normal R package does) and code I used to apply the functions in the 'analysis' directory. It is an R package that can be installed from Github using remotes::install_github(). However, the installed package will not contain the 'analysis' directory. If you want that code, you should pull the entire repo then build the package locally using remotes::install_git().

Please note that the 'coolit' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

treysp/coolit.train documentation built on Oct. 10, 2019, 3:24 p.m.