# pix2pix-floorplans-dataset

**Repository Path**: flair2005/pix2pix-floorplans-dataset

## Basic Information

- **Project Name**: pix2pix-floorplans-dataset
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-19
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# pix2pix-floorplans-dataset

![](extra/pix2pix-homepage.jpg)

This repository contains all of code necessary to retrain a pix2pix model on new image pairs, and export a checkpoint in a format that can be uploaded to RunwayML. I've also included the Rhino/Grasshopper workflow files that I used to export the original source images.

This is a companion to the [`pix2pix-runway`](https://github.com/nonoesp/pix2pix-runway) repo, which uses the RunwayML SDK to serve the model inside of the Runway app.

### About the data:

The dataset is derived from images of floor plans for small, single-story houses sourced from HousePlans.com. Each image was manually tagged using Rhino and Grasshopper, and exported as an A/B image pair for use with pix2pix. The A image contains the boundary shape of each floor plan represented as a solid black region. The B image contains the same boundary, but with color coded regions that correspond to different room types in the plan.

![](extra/example-AB-pair.png)

### Organization of the `/dataset` directory:

This directory contains the images that we'll use to train a pix2pix model.
`Source Images`: These are the source images that informed the room tags.  
`Original`: 
- `/A`: The boundary shape of each floor plan represented as a solid black region
- `/B`: The color tagged plans