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

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 0.5.3.1

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-0.5.3.1-cp38-cp38-manylinux2014_x86_64.whl (25.6 MB view details)

Uploaded CPython 3.8

spam-0.5.3.1-cp37-cp37m-manylinux2014_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.7m

spam-0.5.3.1-cp36-cp36m-manylinux2014_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.6m

spam-0.5.3.1-cp35-cp35m-manylinux2014_x86_64.whl (25.2 MB view details)

Uploaded CPython 3.5m

File details

Details for the file spam-0.5.3.1-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: spam-0.5.3.1-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 25.6 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for spam-0.5.3.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8635ef4bd9fd8505fda324268c64359edbc0a1862561a29f3be07210700cdf29
MD5 09515ab9b862ce587e57dbf2acfcdf74
BLAKE2b-256 59c255f919f5189a407d315cb1bb503c53200816d4b994bb2572807feb6ef3e7

See more details on using hashes here.

File details

Details for the file spam-0.5.3.1-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: spam-0.5.3.1-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 25.2 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for spam-0.5.3.1-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 450d3da6731e6753510321396ce6cb1ec168651066cf27419a6c03e97e87f15d
MD5 dcd654e62a0eb3135bbe37ff3872eba6
BLAKE2b-256 373990611b5f3b3e943dd7484dac4f1fa5a56c8783dd82f6605dc2fe51ef7859

See more details on using hashes here.

File details

Details for the file spam-0.5.3.1-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: spam-0.5.3.1-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 25.2 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for spam-0.5.3.1-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 01f8f6787444864c31b517723904528a21e4b8e45853dd00780ecd158c91e54c
MD5 40292bb9f46892597856039f02156da1
BLAKE2b-256 e281b4127d2af626c81c258adc510e32c34fe2c41a52706cbc71fab652cd1772

See more details on using hashes here.

File details

Details for the file spam-0.5.3.1-cp35-cp35m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: spam-0.5.3.1-cp35-cp35m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 25.2 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.7.8

File hashes

Hashes for spam-0.5.3.1-cp35-cp35m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f4f26ca98ea67267b225179664031b8e77a56c1429864830ceba9681f57e7b01
MD5 b5182ae5cddc366564f4ceb786e90eef
BLAKE2b-256 ade541fbdb7a8d1c20a34949eb14528495b00e85eaaf15bc2eb915d8536b5303

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