structural_inspection_main

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structural_inspection_main

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Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspection and structural health monitoring.

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# Structural Inspection Main

## Updates!
- 9/1/2025 - A lot has changed in just a year! New all-encompassing transformers like DinoV3 and better registration algorithms... Nothing structurally specific, but I will be making some amodal segmentation repos pubilcly available soon for 2D DIA. 
- 1/22/2024 - Code for Registration using Superglue and RANSACFlow
- 8/7/2023 - Updated links and changed a lot of red-circles to green-circles (in other words, the links to papers, datasets, etc. are updated).
- 5/17/2023 - Its been a while... but I am planning to make big updates and refactor structural inspection main (stay tuned!)
- 12/14/2021 - Annotation study repository has been published. 
- 12/31/2021 - StyleGAN2 repository has been published.

## Associated Papers and Repositories

####  "Visual Structural Inspection Datasets" - 2022 (E. Bianchi, M. Hebdon) :green_circle: \[[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0926580522001728)\]
Link to access the table, contribute dataset links, submit edit request, or become a data steward:
- :green_circle: [Cataloged Dataset](cataloged_review/README.md)

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####  "Development of Open-source Collaborative Structural Inspection Datasets" - 2022 (E. Bianchi, M. Hebdon) :green_circle: \[[Paper](https://ascelibrary.org/doi/10.1061/%28ASCE%29CP.1943-5487.0001045)\]
Access all six datasets, the code, and the trained models here:
- :green_circle: [Development of Open-source Collaborative Structural Inspection Datasets](Dev_open_source_datasets/README.md)

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#### "Forecasting Infrastructure Deterioration with GAN-Inversion" - 2021 (E. Bianchi, M. Hebdon) :green_circle: \[[Paper](https://doi.org/10.1117/12.2595111)\] :green_circle:\[[Open Access Paper](/papers/SPIE_Proceedings_2021_Bianchi-ForecastingDeterioration.pdf)\]

- :green_circle: [GAN-Inversion codebase: StyleGAN2 and InterfaceGAN implementation](forecasting_deterioration/README.md)
<p align="left">
    <img src="/w_space_corrosion.gif"  | width=100/>
</p>

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#### "Bridge Inspection Component Registration for Damage Evolution" - 2022 (E. Bianchi, S. Nazmus, C. Woolsey, M. Hebdon) :green_circle: \[[Paper](/Bridge_Inspection_Component_Registration_for_Damage_Evolution.pdf)\]
- :green_circle: [Component Registration codebase and results](https://github.com/beric7/Inspection-Image-Registration)

#### Note the Referenced Papers
**SuperGlue** [paper](https://arxiv.org/abs/1911.11763), we based our code on the official **SuperGlue** [repository](https://github.com/magicleap/SuperGluePretrainedNetwork)\
**RANSAC-FLOW** [paper](https://arxiv.org/abs/2004.01526), we based our code on the official **RANSAC-FLOW** [repository](https://github.com/XiSHEN0220/RANSAC-Flow)

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### "Extending Datasets with Editable First-pass Annotations" - 2021 (E. Bianchi) :green_circle: \[[Paper](/papers/Project_and_Report_Eric_Bianchi_2021.pdf)\]

- :green_circle: [Editable First-pass Annotations codebase and results](https://github.com/beric7/first_pass_annotations/)
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structural_inspection_main

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