indoor-scene-parameterization
Codes, files and others for the paper of indoor scene parameterization for 3D reconstruction using Nerfstudio.
https://github.com/tafnesbarbosa/indoor-scene-parameterization
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (5.4%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Codes, files and others for the paper of indoor scene parameterization for 3D reconstruction using Nerfstudio.
Basic Info
- Host: GitHub
- Owner: TafnesBarbosa
- Language: Jupyter Notebook
- Default Branch: main
- Size: 2.13 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Created almost 2 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Citation
readme.md
Read me
There is a specific readme file inside each folder of this repo.
The dataset used and results obtained in the paper may be found in Pilot Study and Indoor Scenes.
All commands that used nerfstudio must run inside the folder nerfstudio is installed and with conda environment activated.
Steps
- First, the dataset must be created using codes inside
Dataset-setupfolder. This step must be repeated to use one copy in step 2, and other in steps 3 and 4. - Second, the pilot-study is done using codes inside
Pilot-studyfolder. - Third, processing is done using codes inside
Processingfolder. - Results are processed and analyzed using codes inside
Analyzefolder.
Owner
- Login: TafnesBarbosa
- Kind: user
- Repositories: 1
- Profile: https://github.com/TafnesBarbosa
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this repo, please cite it as below."
authors:
- family-names: author surname
given-names: author name
title: "Indoor Scene Parameterization"
version: 1.0.0
date-released: 2024-08-23
url: "https://github.com/UserName/Indoor-scene-parameterization.git"
GitHub Events
Total
- Push event: 1
- Fork event: 1
Last Year
- Push event: 1
- Fork event: 1
Dependencies
Dataset-setup/requirements.txt
pypi
- ffmpeg *
- numpy ==1.26.3
- opencv-python ==4.10.0.84
- os *
- time *
Pilot-study/requirements.txt
pypi
- nerfstudio ==1.1.3
- os *
- sleep *
Processing/requirements.txt
pypi
- colmap *
- free *
- nerfstudio ==1.1.3
- nvidia-smi *
- os *
- subprocess *
- time *
Analyze/requirements.txt
pypi
- json *
- matplotlib ==3.8.3
- nerfstudio ==1.1.3
- numpy ==1.26.3
- opencv-python ==4.10.0.84
- os *
- pandas ==2.2.0
- pdflatex *
- scikit-learn ==1.5.1
- statsmodels ==0.14.2