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This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
Created
2019-02-18
44 commits to master branch, last one 4 years ago
This repository has no description...
Created
2018-12-28
29 commits to master branch, last one about a month ago
A Pytorch implementation of DeepCrack and RoadNet projects.
Created
2019-06-08
292 commits to master branch, last one about a year ago
DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
Created
2020-02-12
79 commits to master branch, last one 8 months ago
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
Created
2019-01-10
48 commits to master branch, last one about a year ago
Crack Detection On Highway Or Pavement Using OpenCV
Created
2020-05-02
51 commits to master branch, last one 2 years ago
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Awa...
Created
2021-06-11
75 commits to main branch, last one 5 days ago
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
Created
2019-05-21
28 commits to master branch, last one about a year ago
Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation
Created
2022-10-20
24 commits to main branch, last one 2 months ago
This repo contains customized deep learning models for segmenting cracks.
Created
2020-05-12
51 commits to master branch, last one 2 years ago
📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Created
2020-12-23
33 commits to main branch, last one 5 months ago