Explainable ML for fatigue crack tip detection - Implementation
-
Updated
Jun 24, 2022 - Python
Explainable ML for fatigue crack tip detection - Implementation
The data exporter is a third-party Python package that enables the export of 3D digital image correlation (DIC) data from a Zeiss GOM Inspect/ARAMIS Professional project in a neutral and human-readable ASCII data format
A python library for image stitching with distortion correction
Project to visualise 3D digital image correlation results from multi stereo-paired cameras for mapping out displacements and strain fields on complex elastic objects across a time series.
Physics-guided generative adversarial network for interpolated digital image correlation data
Standardised exchange file format for 2D/3D-DIC results, based on HDF5
A humble image tracking code
StrainNet is a deep neural network for measuring deformation from images
GPUCorrel : A GPU accelerated Digital Image Correlation Software written in Python. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001102
Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation
Python FE-DIC library
Subpixel displacement and strain fields estimation with deep learning
Digital Image Correlation in Python
Add a description, image, and links to the digital-image-correlation topic page so that developers can more easily learn about it.
To associate your repository with the digital-image-correlation topic, visit your repo's landing page and select "manage topics."