Extract rooms type, door, neibour rooms, rooms corners nad bounding boxes, and generate graph from rplan dataset

Last update: Nov 24, 2022

Related tags

Overview

Housegan-data-reader

House-GAN++ (data-reader)

Code and instructions for converting rplan dataset (raster images) to housegan++ data format. House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects, CVPR 2021. Project website.

Input Data

Data: RPLAN dataset, which offers 60k vector-graphics floorplans designed by professional architects.

How to run

python rasetr_to_json.py --path #rplan_dataset/#image_number.png

Output data format

The data file (e.g., /sample_output/0.json).

ROOM_CLASS = {"living_room": 1, "kitchen": 2, "bedroom": 3, "bathroom": 4, "balcony": 5, "entrance": 6, "dining room": 7, "study room": 8,
              "storage": 10 , "front door": 15, "unknown": 16, "interior_door": 17}
              
              
# having room type in it
"room_type": [3, 4, 1, 3 ]

#bounding boxes per room        
"boxes: [[72.0, 161.0, 124.0, 220.0], [72.0, 130.0, 107.0, 157.0], [111.0, 28.0, 184.0, 203.0], [72.0, 87.0, 124.0, 126.0]] 

#first four entry are per list are rooms edges and 4th and 6th are showing what room type is on each side of edge 
"edges":[72.0, 161.0, 72.0, 220.0, 3, 0], ...,[107.0, 130.0, 72.0, 130.0, 4, 0], [148.0, 28.0, 148.0, 87.0, 1, 2]] 

#room indexes that are on each side of the edges
"ed_rm":[0], [0], [0], [0, 2], ..., [2], [2, 3], [2, 1], [2, 0], [2]]

Citation

Please consider citing our work.

@inproceedings{nauata2021house,
  title={House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects},
  author={Nauata, Nelson and Hosseini, Sepidehsadat and Chang, Kai-Hung and Chu, Hang and Cheng, Chin-Yi and Furukawa, Yasutaka},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={13632--13641},
  year={2021}
}

Contact

If you have any question, feel free to contact me at [email protected]

Acknowledgement

This research is partially supported by NSERC Discovery Grants, NSERC Discovery Grants Accelerator Supplements, DND/NSERC Discovery Grant Supplement, and Autodesk. We would like to thank architects and students for participating in our user study.

You might also like...

Snips Python library to extract meaning from text

Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur

3.7k Dec 30, 2022

Search for documents in a domain through Google. The objective is to extract metadata

MetaFinder - Metadata search through Google _____ __ ___________ .__ .___ / \

85 Dec 16, 2022

Extract Keywords from sentence or Replace keywords in sentences.

FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install

5.3k Jan 1, 2023

Snips Python library to extract meaning from text

Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur

3.5k Feb 12, 2021

Extract Keywords from sentence or Replace keywords in sentences.

FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install

4.7k Feb 17, 2021

Snips Python library to extract meaning from text

Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur

3.5k Feb 17, 2021

NLP tool to extract emotional phrase from tweets 🤩

Emotional phrase extractor Extract phrase in the given text that is used to express the sentiment. Capturing sentiment in language is important in the

38 Oct 17, 2022

This is a NLP based project to extract effective date of the contract from their text files.

Date-Extraction-from-Contracts This is a NLP based project to extract effective date of the contract from their text files. Problem statement This is

1 Jan 26, 2022

xFormers is a modular and field agnostic library to flexibly generate transformer architectures by interoperable and optimized building blocks.

Description xFormers is a modular and field agnostic library to flexibly generate transformer architectures by interoperable and optimized building bl

2.3k Jan 8, 2023

Comments

assert error

When i process 78359.png in RPLAN dataset, i get an error,this is <File "raster_to_json.py", line 110, in raster_to_json assert(al_dr==(len(all_doors)-1)) AssertionError>
Please tell me how to solve it.

opened by rabbit-tank5352 1
Problems With read_doors Function

When I was processing the 6693.png, I ran into some problems. In the read_door function, the size of p is too big, which leads to the size of r exceeding 2 and some pixels of door([(77, 113), (77, 115), (89, 113), (89, 115)]) being 0. Then, the number of polygon points in get_polygon function will exceed 4, resulting in errors. But, if I can't just reduce the size of p, otherwise other images may produce new errors.

opened by E-knight 1
Unable to process all pictures in a time

First of all, thank you very much for sharing your own code! ! In this script, only one image can be processed in one operation, and some images are output as variable out! =1, is this normal? Or is there something wrong with my operation? Thank you for your answer.

opened by qqq05 0

Extract rooms type, door, neibour rooms, rooms corners nad bounding boxes, and generate graph from rplan dataset

Related tags

Overview

Housegan-data-reader

House-GAN++ (data-reader)

Input Data

How to run

Output data format

Citation

Contact

Acknowledgement

You might also like...

Snips Python library to extract meaning from text

Search for documents in a domain through Google. The objective is to extract metadata

Extract Keywords from sentence or Replace keywords in sentences.

Snips Python library to extract meaning from text

Extract Keywords from sentence or Replace keywords in sentences.

Snips Python library to extract meaning from text

NLP tool to extract emotional phrase from tweets 🤩

This is a NLP based project to extract effective date of the contract from their text files.

xFormers is a modular and field agnostic library to flexibly generate transformer architectures by interoperable and optimized building blocks.

Comments

assert error

Problems With read_doors Function

Unable to process all pictures in a time

Owner

Sepid Hosseini

An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.

Script to generate VAD dataset used in Asteroid recipe

The FinQA dataset from paper: FinQA: A Dataset of Numerical Reasoning over Financial Data

WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

A 30000+ Chinese MRC dataset - Delta Reading Comprehension Dataset

Words-per-minute - A terminal app written in python utilizing the curses module that tests the user's ability to type

Textpipe: clean and extract metadata from text

Textpipe: clean and extract metadata from text

The projects lets you extract glossary words and their definitions from a given piece of text automatically using NLP techniques

Extract city and country mentions from Text like GeoText without regex, but FlashText, a Aho-Corasick implementation.