Skip to content

Latest commit

 

History

History
24 lines (20 loc) · 1.64 KB

README.md

File metadata and controls

24 lines (20 loc) · 1.64 KB

Docker images for the Digital Mammography DREAM Challenge

Overview

This repository contains the Dockerfiles required to build the example images provided for the Digital Mammography DREAM Challenge.

Docker images

Frameworks

Pre-processing

  • dm-preprocess-png: resizes and converts the images to PNG (Repository)
  • dm-preprocess-lmdb: resizes and saves the images to a Lightning Memory-mapped Database (Repository)
  • dm-preprocess-caffe: prepares the data before training a Caffe model (Repository)

Training

  • dm-train-caffe: trains an AlexNet or GoogLeNet model using Caffe (Repository)
  • dm-train-tensorflow
  • dm-train-keras

Set Environment Variables

TODO: Add description on how to set environment variables (e.g. RANDOM_SEED)