Defect Detection and Quantification Toolbox
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Updated
Sep 19, 2021 - Python
Defect Detection and Quantification Toolbox
Pytorch Implement of the paper "Segmentation-Based Deep-Learning Approach for Surface Defect Detection"
Automatically generate the formation energy diagram for multiple defects. Designed for VASP output.
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.
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