Digital Image Correlation in Python
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Updated
Feb 8, 2022 - Python
Digital Image Correlation in Python
Digital Image Correlation & Digital Volume Correlation Library
Subpixel displacement and strain fields estimation with deep learning
Python FE-DIC library
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).
Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation
Codes for GPU-Accelerated Optical Measurement
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".
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
Explainable ML for fatigue crack tip detection - Implementation
The qDIC algorithm for finite deformation motion field estimates
Physics-guided generative adversarial network for interpolated digital image correlation data
Jupyter notebooks for digital image correlation (DIC) data post-processing (DICe output files)
Standardised exchange file format for 2D/3D-DIC results, based on HDF5
A humble image tracking code
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
In-situ Deformation Experiments to study strain localization in Anisotropic crystalline materials
Usage examples and descriptions for the Elastomeric Foam Materials Properties Database
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