phiyodr / building-inspection-toolkit
Building Inspection Toolkit
☆19Updated last year
Alternatives and similar repositories for building-inspection-toolkit:
Users that are interested in building-inspection-toolkit are comparing it to the libraries listed below
- Collection of works in my PhD at Virginia Tech, mostly focused on computer vision and machine learning applications in structural inspect…☆50Updated last year
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆61Updated 3 weeks ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆22Updated 5 years ago
- Concrete crack detection for structural inspection.☆35Updated last year
- Concrete Crack and Spalling Detection using Deep Neural Network☆72Updated 6 years ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆203Updated 2 years ago
- Toolkit for dacl10k dataset (dacl-challenge at WACV2024)☆29Updated last month
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆160Updated 2 months ago
- ☆16Updated 6 years ago
- ☆18Updated 2 years ago
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆52Updated 2 months ago
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,…☆55Updated 7 months ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆265Updated last year
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆28Updated 3 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.☆275Updated 2 months ago
- Training dataset for Crack Detection☆27Updated 5 years ago
- A PyTorch implementation of U-Net for aerial imagery semantic segmentation.☆78Updated 3 years ago
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation☆16Updated 2 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 5 years ago
- Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"☆36Updated 5 months ago
- This is the available data for the paper `Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentati…☆13Updated 2 years ago
- Pavement surface crack datasets for DL based crack detection☆59Updated 2 years ago
- ☆38Updated last year
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆228Updated last year
- Crack Detection On Highway Or Pavement Using OpenCV☆134Updated 5 months ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- Hybrid-Segmentor: Hybrid Approach for Automated Fine-Grained Crack Segmentation in Civil Infrastructure☆23Updated 3 weeks ago
- crack segmentation☆14Updated 2 years ago
- A Unet based modified architecture for crack detection☆39Updated 4 years ago
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆69Updated 4 years ago