Skip to main content

Software for the Practical Analysis of Materials

Project description

https://img.shields.io/badge/license-GPLv3-blue.svg https://gricad-gitlab.univ-grenoble-alpes.fr/ttk/spam/badges/master/pipeline.svg https://gricad-gitlab.univ-grenoble-alpes.fr/ttk/spam/badges/master/coverage.svg https://badge.fury.io/py/spam.svg https://joss.theoj.org/papers/10.21105/joss.02286/status.svg https://pepy.tech/badge/spam/month

Spam is a piece of Python software built upon NumPy and SciPy for the analysis and manipulation of 3D and 2D data sets in material science, be they from x-ray tomography, random fields or any other source.

A number of common functions are provided that are either lacking or slow in Numpy and Scipy, which are expected to be used by users within new python scripts. These functions are in the tools/ directory, and include tools to work with random fields, morphological operations, digital image correlation, and labelled images. Some of spam’s functions transparently call C/C++ functions for speed.

Some user-callable scipts are also provided – they are more complex pieces of code that combine a number of functions and which have a command-line interface. For the moment the scripts are 3 different image correlation techniques.

Please have a look at our online documentation for:

If you find bugs, need help, or want to talk to the developers, we use a element.io/matrix.org chat room for organisation, please join it here and come and talk to us – it is easy, there is a chat client that can run in your web broswer. All you need to do is choose a user name!

Changelog

Version

Date

Notes

Version 0.6.2.1

2023-03-21

Imports in graphical tools fixed

Version 0.6.2

2023-03-17

Fixes to registration, pep8 and black the whole code, dev on global and projection

Version 0.6.1.3

2022-10-25

Fix for histogramTools, a number of library calls updated for deprecation warnings

Version 0.6.1.2

2022-09-22

Parallelised tetLabel, safety in spam-pixelSearch, -skp in spam-ldic

Version 0.6.1.1

2022-01-20

Registration subtraction option for spam-passPhiField (-regs)

Version 0.6.1

2021-10-29

New package spam.orientations and segmentations functions

Version 0.6.0.3

2021-07-08

Fixed -applyF check. Now registration guess is correctly applied to a set of points

Version 0.6.0.2

2021-06-23

Fixed spam-mmr-graphical and PyQt5 dependencies. New spam.plotting.plotSphericalHistogram renders a 3D orientation distribution!

Version 0.6.0.1

2021-05-20

Small fixes to spam-filterPhifield and spam-regularStrain

Version 0.6.0

2021-05-04

Massive rewrite of image correlation scripts, introduction of spam-pixelSearchPropagate, spam-filterPhiField, spam-passPhiField. The spam-pixelSearch is now separate from spam-ldic and spam-ddic, and works both in grid and labelled mode. Please check out new script documentation for a flowchart of how these should be used in series. Loads of scripts and quite a few functions are now multiprocess, and MPI parallelisation is completely dropped along with mpi4py. pygmsh dependency is also now dropped

Version 0.5.3.4

2021-03-19

Last version to support python 3.5. Update gradient option in spam-ldic, new function to generate pixelated spheroids: spam.kalisphera.makeBlurryNoisySpheroid()

Version 0.5.3.3

2020-11-27

spam-reg script, spam-ereg-discrete writing fix, spam-ldic update gradient option, implementation of Geers in 2D

Version 0.5.3.2

2020-10-27

spam-ereg-discrete mask option reinstated, many fixes for spam-ldic and registerMultiscale() for 2D images

Version 0.5.3.1

2020-10-23

spam-ereg-discrete make safer with slicePadded and moveGrains now renamed to moveLabels and proposed as function with erodeLabels

Version 0.5.3

2020-10-07

Improvements in edge cases in spam-ldic and spam-ddic, thanks to a helper function called spam.helpers.slicePadded(). New debug mode for spam-ddic as well as a graphical tool to manually align labels called spam-ereg-discrete

Version 0.5.2.1

2020-07-20

This is the version in the JOSS paper. Making python 3.8 package for PyPI, along with classifiers. Python 2.7 dropped

Version 0.5.2

2020-06-03

Big improvements in spam-mmr and spam-mmr-graphical, all TSVs im1->im2 and gradients always computed in im2

Version 0.5.1.5

2020-05-28

Don’t recompute Jacobian in register if not needed. Safety in pixel search

Version 0.5.1.4

2020-05-16

Fix spam-deformImageFromField, C++14

Version 0.5.1.3

2020-04-20

Fix spam-mmr and improvements to pixel search in spam-ddic

Version 0.5.1.2

2020-04-20

Fix and test for large initial guesses in register(), spam-mmr-graphical revived

Version 0.5.1.1

2020-04-08

Fix for running spam-ldic for pixel search

Version 0.5.1

2020-04-07

Fix for running spam-ddic with mpi, implementation of S. Brisard’s Directional Erosion

Version 0.5.0

2020-03-27

Big rename of scripts, functions, variables, parameters, with some backwards compatibility in TSV file reading. Some examples:

  • spam.correlate.lucasKanade -> spam.correlate.register

  • spam.helpers.readTSV -> spam.helpers.readCorrelationTSV

New framework for the calculation of strains, where the computation of F is separated from its decomposition. Output fields from correlation with prefixes “SubPix” and “SubPixel” become prefixless In TSV outputs from correlation the components like “F12” are now called “Fzy”

Version 0.4.3

2020-01-16

Various fixes to graphical clients (able to save TSV from spam-mmr-graphical and do a last, precise run with spam-mmr). Improvement to triangulation (now with CGAL alpha shapes) and discrete strain calculator (tested results)

Version 0.4.2

2019-09-25

spam-mmr-graphical now working, improvements in spam-mmr.

Version 0.4.1

2019-09-13

spam-mmr-graphical now working (c-python type error). Various bugfixes in clients. spam-ITKwatershed now accepts markers

Version 0.4.0

2019-07-18

c++ now bound with pybind11. New graphical script spam-mmr-graphical for multi-modal registration. New graphical script spam-ereg for eye (manual) registration. Python3 upgrade recommended for all users

Version 0.3.3.1

2019-05-27

Binning 2^31 fix, remove lines for immediate prints that are not py3 compatible First version with CGAL triangulation

Version 0.3.2.1

2019-05-14

Update pip documentation and changelog

Version 0.3.2

2019-04-30

Fix segfault with images larger than 2^31 voxels, and output both subtracted and original fields in spam-ldic

Version 0.3.1

2019-04-08

Fix a number of forgotten spam.DIC.transformationOperator functions

Version 0.3.0

2019-03-28

Consistent naming in DIC: Phi is 4x4 homogeneous deformation function and F is its internal 3x3 displacement gradient

Version 0.2.2.2

2019-03-21

First version on pip with complete dependencies. This version of spam runs fully in a venv with pip install spam

Version 0.2.2.1

2019-03-20

Pull in requirements.txt into setup.py automatically. This aligns the build from git with the build from pip.

Version 0.2.2

2019-02-21

Approximate python3 compatibility

Version 0.2.1

2019-02-18

Add PyPI documentation to pip in RST

Version 0.2.0

2019-02-18

Add PyPI documentation to README.rst to appear on pip. Note that the build status and coverage badges won’t appear until access to gitlab is opened

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

spam-0.6.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

spam-0.6.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

spam-0.6.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

spam-0.6.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.5 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

spam-0.6.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.3 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

File details

Details for the file spam-0.6.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spam-0.6.2.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 22ecc1ecd363c80f687980086e5529f72267e481ca9eff6e3e9b636fbe7994e3
MD5 35051945fe5eef4cc70927e227222b1a
BLAKE2b-256 2cf16281247d56fac6b8f037e69feadb105c80203ed0070b38c143224da08d94

See more details on using hashes here.

File details

Details for the file spam-0.6.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spam-0.6.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1cabc856d8e70960bd2230a9d00f3f33d90fde4225e9fd867791a00a30279576
MD5 5b2cb6f09400e0898670f1c3c15f37ad
BLAKE2b-256 c672bc28eb87356acd79ab66ee6f67a35ab20588ffd3fdf7db2400a6f5bbbd45

See more details on using hashes here.

File details

Details for the file spam-0.6.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spam-0.6.2.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ca519eb7f2dba2fc79fea1f092da6146dbff3eead30c889ce99a0cf2605f4238
MD5 a5951c40576428a093953bcf7ff8417a
BLAKE2b-256 52ae7fe16f61617b857691c0861b6ba9d1590f1a9588cf71d6110bde1f3ac524

See more details on using hashes here.

File details

Details for the file spam-0.6.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spam-0.6.2.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3f2d3c237584237ddc75d2a1e357e71fb9ae7d6f05f1ddf6cda5d9b67039161e
MD5 7231fe086768244e694bcc7a4814ddde
BLAKE2b-256 47418de310b89243fff4db9b99f411c22da8739ef7b5e4c8fe8098d7865adc93

See more details on using hashes here.

File details

Details for the file spam-0.6.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for spam-0.6.2.1-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 67c6433062dba66e3e6f4e6bfb3b7373415d0d7e625ab9685c54498ec2d3285a
MD5 0c07ab6ab9cc0d457ff62603074a82e0
BLAKE2b-256 1679ddc86db05bdd1a47f48efe89cdddddd563576d8f6c1734730df5be07bec7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page