There are 2 repositories under digital-image-correlation topic.
Digital Image Correlation & Digital Volume Correlation Library
Digital Image Correlation in Python
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).
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
Jupyter notebooks for digital image correlation (DIC) data post-processing (DICe output files)
This project provides Matlab code and verification data for paper entitled "A joint calibration method for monocular speckle structured light system".
Usage examples and descriptions for the Elastomeric Foam Materials Properties Database
Explainable ML for fatigue crack tip detection - Implementation
Spatiotemporally Adaptive Quadtree Mesh (STAQ) Digital Image Correlation for solving large deformations near complex geometries and discontinuities
Experimental Testing of a Brake-Reuss Beam.
A humble image tracking code
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
Physics-guided generative adversarial network for interpolated digital image correlation data
This repository contains the scripts developed to obtain (i) the analytical solution for the deployment and surface accuracy of transversally creased membranes with one or multiple folds, (ii) the corresponding finite element models and (iii) the script to run 2D digital image correlation for the experiments. Reference: Gori, M., & Bosi, F. (2022). Deployment and surface accuracy of regularly creased membranes. Extreme Mechanics Letters, 101849.
In-situ Deformation Experiments to study strain localization in Anisotropic crystalline materials
Standardised exchange file format for 2D/3D-DIC results, based on HDF5
CrackPropNet
A python library for image stitching with distortion correction