Earthquake Engineering and Structural Dynamics Laboratory
- 35 followers
- École Polytechnique Fédérale de Lausanne
- https://eesd.epfl.ch/
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LOD3_buildings
LOD3_buildings PublicForked from bgpantojar/LOD3_buildings
This repository contains the codes for computing geometrical digital twins as LOD3 models for buildings using a structure from motion and semantic segmentation. The methodoly hereby implementes was…
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topo_crack_detection
topo_crack_detection PublicForked from bgpantojar/topo_crack_detection
This repository contains the codes for crack detection using topological loss function. The methodology hereby implemented was presented in the paper ["TOPO-Loss for continuity-preserving crack det…
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spherical-cap-harmonics
spherical-cap-harmonics PublicSpherical Cap Harmonics, Spherical Harmonics and Hemispherical Harmonics
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OpenSees
OpenSees PublicForked from OpenSees/OpenSees
OpenSees Source Code Repository including a new macro-element for masonry panels
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Repositories
- crack_kinematics Public Forked from bgpantojar/crack_kinematics
This repository contains the codes for computing crack kinematics using a binary mask that represents a segmented crack. The methodoly hereby implementes was presented in the paper "Determing crack kinematics from imaged crack patterns" by Pantoja-Rosero et., al.
eesd-epfl/crack_kinematics’s past year of commit activity - LOD3_buildings Public Forked from bgpantojar/LOD3_buildings
This repository contains the codes for computing geometrical digital twins as LOD3 models for buildings using a structure from motion and semantic segmentation. The methodoly hereby implementes was presented in the paper "Generating LOD3 building models from structure-from-motion and semantic segmentation" by Pantoja-Rosero et., al.
eesd-epfl/LOD3_buildings’s past year of commit activity - topo_crack_detection Public Forked from bgpantojar/topo_crack_detection
This repository contains the codes for crack detection using topological loss function. The methodology hereby implemented was presented in the paper ["TOPO-Loss for continuity-preserving crack detection using deep learning" by Pantoja-Rosero et., al. (2022)](https://www.sciencedirect.com/)
eesd-epfl/topo_crack_detection’s past year of commit activity
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