Skip to content

The project uses a computer vision model to extract structured features from floor plan images for a fire risk assessment.

License

Notifications You must be signed in to change notification settings

whchien/deep-floor-plan-recognition

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DeepFloor: Floor Plan Recognition

In collaboration with Gemeente Amsterdam in 2020, this project aims to extract structured features from floor plan images to serve as inputs for their fire risk model. This core image recognition model originated from DeepFloorplan. We incorporated the model backbone and built a Django website for demonstration purposes.

Demo

Demo GIF

How to Run the Demo

  1. Install the required packages:

    pip install -r requirements/requirements_demo.txt
    
  2. Download the pretrained model and place it in the deepfloor/pretrained folder.

  3. Run the following command to start the server:

    python manage.py runserver
    

About

The project uses a computer vision model to extract structured features from floor plan images for a fire risk assessment.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published