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

License: GNU General Public License v3.0

Python 96.44% HTML 3.56%
deep-learning deep-neural-networks django django-application floorplan image-recognition semantic-segmentation

deep-floor-plan-recognition's Introduction

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
    

deep-floor-plan-recognition's People

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deep-floor-plan-recognition's Issues

Link for pretrained model

Hello,
The link for the pre-trained model seems to be broken. Is it possible to update that please?

thanks in advance
Gaurav

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