:house: Floorplan Interpreter

This repo contains code needed to create the training data and train an image segmentation model to recognise certain parts of floorplans. We apply these trained models to a dataset of floor plans in order to estimate how many rooms, different room types, windows and doors they have.

Please refer to the README in the pipeline folder for more information about the methodology, usage and results.

Setup

• Meet the data science cookiecutter requirements, in brief:
  • Install: direnv and conda
• Run make install to configure the development environment:
  • Setup the conda environment
  • Configure pre-commit
  • Set-up Metaflow export METAFLOW_PROFILE=floorplan and direnv reload
  • Make sure your METAFLOW_USER name has no fullstops in.

Contributor guidelines

Technical and working style guidelines

Project based on Nesta's data science project template (Read the docs here).