A collection of Jupyter notebooks for metallography analysis
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Updated
Dec 18, 2019 - Jupyter Notebook
A collection of Jupyter notebooks for metallography analysis
Uses a convolution neural network to classify titanium microstructures
Metallurgical Engineer's Handbook
Self-hosted web tool for manual ASTM E112 grain-size measurement (intercept method) of metallographic micrographs.
Full-stack weld inspection app for annotation and AI-assisted measurement of industrial joints. FastAPI backend runs segmentation/classification models, while Vue + Konva frontend enables line editing, tag placement, scale calibration, and export to image/JSON. Docker-ready deployment.
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