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.
293 stars. No commits in the last 6 months.
Use this if you need to reliably detect and segment cracks in visual inspection images for infrastructure maintenance or safety assessments.
Not ideal if your images contain cracks in highly unusual textures or lighting conditions not represented in standard datasets, or if you need to analyze crack depth or other non-visual characteristics.
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May 08, 2023
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