defect
There are 16 repositories under defect topic.
chinthysl/AXI_PCB_defect_detection
This repo contains data pre-processing, classification and defect detection methodologies for images from Advance XRay Inspection from multi-layer PCB boards. Proprietary AXI image dataset is not included in this repo. Users can use their own datasets on top of the OOP data extraction layer and neural network models implemented here.
squaresLab/Darjeeling
Language-independent, search-based program repair -- just your cup of tea! ☕
bemoregt/gpSpectralSaliencyMap
Spectral Residual Saliency Map using Openframeworks & ofxCv
bemoregt/gpLocalEntropyFilter
Openframeworks version of Local Entropy Filter for image
TheAyushB/Manufacturing-Defects
This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted surface, inclusion and scratches. A CNN is trained on the NEU Metal Surface Defects Database which contains 1800 grayscale images with 300 samples of each of the six different kinds of surface defects.
Zixiangzann/Defect-Management---For-QA-By-QA
Defect Management website build using React
coherent17/physical_modeling_DFT
using Matlab to simulate the graphene energy band with approximation tight binding calculation
rishiraj88/bugtracker
A simple bug tracker for QA (Quality Analyst) engineers and Project Managers
aqua-github-actions/ga-aqua-comment
GitHub Action to add a comment to a defect on aqua cloud instance
aqua-github-actions/ga-aqua-find-defect-key
Find defect keys on commit messages, branch names or a custom string
arunmano121/DDQT
Defect Detection and Quantification Toolbox
chenyubi14/easy_defect_formation_energy
Automatically generate the formation energy diagram for multiple defects. Designed for VASP output.
Gaurav7888/Software_Defect_Prediction
Defect prediction in Softwares. The Metrics Data Program dataset provided by NASA has been used.
moritzfl/IncrementalAnalysesEvaluation
Evaluation of KernelHaven/IncrementalAnalysesInfrastructure
XiaoJiNu/SegDecNet
Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"