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.
302 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately detect pavement cracks or extract road layouts from satellite or drone imagery for inspection, maintenance planning, or mapping.
Not ideal if you require object detection for other features besides cracks or roads, or if you need a real-time, on-device solution with very limited computational resources.
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Last pushed
Dec 22, 2024
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