OnionDoctor / FCN_for_crack_recognitionView external linksLinks
An application FCN for crack recogntion using tensorflow
☆53Mar 14, 2018Updated 7 years ago
Alternatives and similar repositories for FCN_for_crack_recognition
Users that are interested in FCN_for_crack_recognition are comparing it to the libraries listed below
Sorting:
- ☆12Jul 21, 2021Updated 4 years ago
- TenserFlow Keras☆23Mar 24, 2023Updated 2 years ago
- This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Ti…☆427May 6, 2024Updated last year
- SCCDNet: A pixel-level crack segmentation network☆11Mar 12, 2021Updated 4 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆26Sep 5, 2019Updated 6 years ago
- ☆22Aug 3, 2022Updated 3 years ago
- ☆400Feb 22, 2025Updated 11 months ago
- ☆23Nov 7, 2025Updated 3 months ago
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆287May 8, 2023Updated 2 years ago
- A CNN (Convolutional Neural Network) model to automatically classify images of building construction that show deficient work, with crack…☆20Mar 13, 2020Updated 5 years ago
- crack segmentation☆21Nov 7, 2022Updated 3 years ago
- Road crack detection project based on NestedUnet model☆22Jan 22, 2022Updated 4 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.☆300Dec 22, 2024Updated last year
- Concrete Crack and Spalling Detection using Deep Neural Network☆91Feb 15, 2019Updated 6 years ago
- PyTorch Implementation of Fully Convolutional Networks, for VGG and ResNet backbones.☆17Nov 22, 2022Updated 3 years ago
- Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"☆51Sep 12, 2024Updated last year
- This repo contains customized deep learning models for segmenting cracks.☆51Jul 9, 2021Updated 4 years ago
- ☆24Nov 5, 2024Updated last year
- ☆353May 10, 2017Updated 8 years ago
- ☆63Dec 18, 2017Updated 8 years ago
- Road crack segmentation with UNet in PyTorch — Includes implementations of multiple loss functions such as Focal, Dice, and Dice + CE.☆34Apr 15, 2025Updated 10 months ago
- Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement☆93May 9, 2025Updated 9 months ago
- semantic segmentation tensorflow 语义分割☆12Jan 26, 2021Updated 5 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆96Jan 29, 2025Updated last year
- This work entails the usage of a novel hybrid deep transfer learning method for thermal comfort prediction in buildings with no or very l…☆11Sep 20, 2021Updated 4 years ago
- FE model updating in Python☆11Jul 16, 2021Updated 4 years ago
- This repository contains tutorial code and supplementary note for point cloud processing.☆12Aug 5, 2023Updated 2 years ago
- Crack detection for concrete structure using Matlab☆32Jul 19, 2017Updated 8 years ago
- ☆14Feb 17, 2024Updated last year
- 这是一个使用Python和PyQt5开发的一个计算机视觉辅助裂缝标注工具,标注工具先用边缘检测和形态学方法预识别裂缝,然后人工对结果进行标涂或擦除。除了此方法,工具还有其他多种方法,详情请见readme.md的介绍☆89Apr 18, 2019Updated 6 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆255Feb 17, 2023Updated 2 years ago
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆44Oct 15, 2022Updated 3 years ago
- Deep Learning Model for Crack Detection and Segmentation☆162Jun 21, 2024Updated last year
- ☆15Jun 8, 2021Updated 4 years ago
- ☆10Jun 11, 2018Updated 7 years ago
- This code is for APESS2018 Steel Girder Crack Identification, it can also be used for other classification tasks.☆11Aug 24, 2018Updated 7 years ago
- For data recovery of Structural Health Monitoring☆11Sep 21, 2023Updated 2 years ago
- YOLOv1 implementation of Pytorch with multi-backbone☆10May 8, 2019Updated 6 years ago
- 基于开源SSD的重构,简化了代码结构☆11Jan 23, 2019Updated 7 years ago