Topic: crack-detection Goto Github
Some thing interesting about crack-detection
Some thing interesting about crack-detection
crack-detection,hackaTUM2019
User: aadhithya
crack-detection,This repository contains some SIMPLE modules for Crack Detection and Semantic Segmentation.
User: akutazehy
crack-detection,Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
User: anishreddy3
Home Page: https://docs.google.com/document/d/1gJtviJ3ks5ddoKysCEBuZs0xUSVYecq-EYUO7ba8fp4/edit?usp=sharing
crack-detection,Crack detection for concrete structures
User: biasalesc
crack-detection,This repo contains customized deep learning models for segmenting cracks.
User: choiw-public
crack-detection,Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation
Organization: dlr-wf
crack-detection,finding cracks in highway using some pattern recognition and machine learning methods.
User: dull-bird
crack-detection,Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"
User: hqitao
Home Page: https://arxiv.org/abs/2302.11728
crack-detection,A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the features of cracks we used Computer Vision and developed a desktop tool using Kivy to display the outcomes.
User: kanishk307
crack-detection,
User: kanissh
crack-detection,This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
User: khanhha
crack-detection,📅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
User: konskyrt
crack-detection,This is my Portfolio repository
User: konskyrt
crack-detection,Wall wear segmentation using Convolutional Neural Networks
User: krishnatoshniwal
crack-detection,This is a Surface Crack Detection project implemented with the Tensorflow. We fine tuning some deep learning models (like VGG 19, VGG16, MobileNetV2, ...). Use Surface Crack Detection dataset available on kaggle.
User: mo26-web
crack-detection,CNN for crack classification, intended for use in a crack inspection pipeline (see references).
User: nhorro
crack-detection,Deep neural networks in structural health monitoring
User: niemiecjakub
crack-detection,
User: phmferreira
crack-detection,This repository is used as a summary on my master thesis which I am currently working on. For the full report visit: https://kth.diva-portal.org/smash/record.jsf?pid=diva2:1809735
User: punnawatsiri
crack-detection,DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
User: qinnzou
crack-detection,Mask and instance-based crack detection for Python 3, Keras and TensorFlow 1.x.x
User: rakehsaleem
crack-detection,Training dataset for Crack Detection
User: rakehsaleem
crack-detection,Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding (IV'19)
User: ruirangerfan
Home Page: https://ieeexplore.ieee.org/abstract/document/8814000
crack-detection,Here road crack detection was done using CNN with a large dataset.
User: saifmanjarahmad
crack-detection,Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected images of defects against a pre-existing reconstructed 3D point cloud of the bridge. We also investigate methods of reducing computation time with ML-based and conventional CV methods of segmentation to eliminate redundant keypoints. Our project successfully localizes the defect images and achieves a savings in runtime from filtering keypoints.
User: shaggyshak
crack-detection,Crack Detection On Highway Or Pavement Using OpenCV
User: shomnathsomu
crack-detection,A pre-trained MobileNet model for detecting cracks on concrete structures.
User: starhopp3r
crack-detection,A Bayesian Convolutional Neural Network approach for image-based crack detection and maintenance applications
User: tasiabueno
crack-detection,A pre-trained MobileNet model for detecting cracks on concrete structures
Organization: thesudocoders
crack-detection,Crack detection for concrete structure using Matlab
User: toxinoid00
crack-detection,Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
User: xaviergoby
crack-detection,DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
User: yhlleo
crack-detection,A Pytorch implementation of DeepCrack and RoadNet projects.
User: yhlleo
crack-detection,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 Award.
User: yuki-11
crack-detection,CrackPropNet
User: zehuiz2
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