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.

Language-independent, search-based program repair -- just your cup of tea! ☕

Spectral Residual Saliency Map using Openframeworks & ofxCv

Openframeworks version of Local Entropy Filter for image

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.

Defect Management website build using React

using Matlab to simulate the graphene energy band with approximation tight binding calculation

GitHub Action to add a comment to a defect on aqua cloud instance

Evaluation of KernelHaven/IncrementalAnalysesInfrastructure

Find defect keys on commit messages, branch names or a custom string

Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"

Defect prediction in Softwares. The Metrics Data Program dataset provided by NASA has been used.

Defect Detection and Quantification Toolbox

Automatically generate the formation energy diagram for multiple defects. Designed for VASP output.