DeepSegmentor and DeepCrack

DeepSegmentor

Established

DeepCrack

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 24/25

Maintenance 0/25

Adoption 10/25

Maturity 8/25

Community 21/25

Stars: 302

Forks: 91

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stars: 293

Forks: 55

Downloads: —

Commits (30d): 0

Language: —

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

About DeepSegmentor

yhlleo/DeepSegmentor

A Pytorch implementation of DeepCrack and RoadNet projects.

This tool helps engineers and urban planners automatically identify cracks in pavement and delineate road networks from images. You provide input images of roads or infrastructure, and it outputs segmented images highlighting cracks or precisely mapping out road structures. This is ideal for civil engineers, infrastructure inspectors, and GIS specialists.

infrastructure-inspection road-mapping civil-engineering pavement-analysis geospatial-intelligence

About DeepCrack

yhlleo/DeepCrack

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.

This helps civil engineers and infrastructure inspectors automatically identify and map cracks in images. You feed it photographs of structures like roads or bridges, and it outputs precise outlines of any cracks detected. It's designed for professionals who need to quickly assess the integrity of physical assets.

infrastructure-inspection structural-health-monitoring civil-engineering defect-detection condition-assessment

Related comparisons

DeepSegmentor and crack_segmentation

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