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Spam, the Software for the Practical Analysis of Materials is a Python library that has evolved to cover needs of data analysis from 3D x-ray tomography work and correlated random fields with mechanical applications. Spam is first and foremost a measurement package that extends the extremely convenient framework of NumPy and SciPy by providing or accelerating tools for the material- science/mechanics oriented analysis of 2D images or 3D volumes representing field measurements. Typical uses are either the measurement of displacements fields between images of a deforming sample from which strains can be computed, or the characterisation of a particular microstructure (correlation length or particle orientation). The package is organised into a library of Python tools which are expected to be used in user-written scripts and a number of more sophisticated standalone scripts. Please see the online documentation. Spam is developed on a git repository hosted at Université Grenoble Alpes. This deposit is the version 0.5.2 that was reviewed and accepted on the Journal of Open Source Software
image analysis, labelling, [SPI.MECA.SOLID] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph], digital image correlation, random fields, [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph], tomography, correlation length, digital volume correlation
image analysis, labelling, [SPI.MECA.SOLID] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph], digital image correlation, random fields, [SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph], tomography, correlation length, digital volume correlation
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