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

Python 2D Digital Image Correlation (DIC) Software

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".

Stellenbosch University DIC Code

Codes for GPU-Accelerated Optical Measurement

StrainNet is a deep neural network for measuring deformation from images

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

Explainable ML for fatigue crack tip detection - Implementation

Usage examples and descriptions for the Elastomeric Foam Materials Properties Database

Crack Monitoring from Motion (CMfM) - enhanced DIC with non-fixed cameras

A humble image tracking code

A python library for image stitching with distortion correction

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 GUI to perform Global Digital Image Correlation

Open-hardware tensile testing machine for plastics (ASTM D638). Project by Diego Víctor Saavedra Ravier.

Physics-guided generative adversarial network for interpolated digital image correlation data

The qDIC algorithm for finite deformation motion field estimates

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.

Experimental Testing of a Brake-Reuss Beam.

In-situ Deformation Experiments to study strain localization in Anisotropic crystalline materials

Unsupervised learning for the estimation of deformation fields on the surface of materials subjected to mechanical stress.

Standardised exchange file format for 2D/3D-DIC results, based on HDF5

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.

This project is a hobby modification of the Py2DIC software, a free and open-source 2D Digital Image Correlation (DIC) tool developed at the Geodesy and Geomatics Division of Sapienza University of Rome.