DeepSegmentor and crack_segmentation
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.
About crack_segmentation
khanhha/crack_segmentation
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
This project helps structural engineers and inspectors automatically find and outline cracks in images of pavement and concrete structures like bridges. You provide images, possibly taken by a drone, and it outputs segmented images highlighting the exact areas of damage. This tool is designed for professionals in infrastructure inspection or maintenance who need to quickly identify structural defects.
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