Digital Image Correlation & Digital Volume Correlation Library

Digital Image Correlation in Python

Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation

Subpixel displacement and strain fields estimation with deep learning

AL-DIC(Augmented Lagrangian DIC) is a fast, parallel-computing DIC algorithm, which combines advantages of Local Subset DIC (fast, compute in parallel) and Global DIC (guarantee kinematic compatibility).

Python FE-DIC library

2D Finite-element-based global Digital Image Correlation (DIC) method (guarantee global kinematic compatibility and decrease noise by adding regularization penalties).

This project provides Matlab code and verification data for paper entitled "A joint calibration method for monocular speckle structured light system".

Codes for GPU-Accelerated Optical Measurement

Jupyter notebooks for digital image correlation (DIC) data post-processing (DICe output files)

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

Explainable ML for fatigue crack tip detection - Implementation

StrainNet is a deep neural network for measuring deformation from images

Usage examples and descriptions for the Elastomeric Foam Materials Properties Database

A GUI to perform Global Digital Image Correlation

Spatiotemporally Adaptive Quadtree Mesh (STAQ) Digital Image Correlation for solving large deformations near complex geometries and discontinuities

The qDIC algorithm for finite deformation motion field estimates

Experimental Testing of a Brake-Reuss Beam.

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 humble image tracking code