• [Python-announce] [ANN] Benchmark Smil vs Scikit-image (morphological features)

    From Jose-Marcio Martins da Cruz@Jose-Marcio.Martins@minesparis.psl.eu to comp.lang.python.announce on Tue Dec 21 10:13:27 2021
    From Newsgroup: comp.lang.python.announce


    Hello,
    We've done a comparative benchmark (speed and memory usage) with Smil and Scikit-Image.
    Smil is a mathematical morphology dedicated library of functions. So comparisons are done only on this area.
    We've been working on Mathematical Morphology for more than 50 years now the discipline was created here at our research
    department in the sixties. Smil inherits the experience of previous libraries and software we've been writing since the
    70's.
    In just some few words, Smil can be orders of magnitude faster than Scikit-image (hundreds or even thousands) on some
    operations thanks to parallelization and vectorization (SIMD), depending on the computer architecture.
    Smil doesn't replace scikit-image but may be a good complement to scikit-image when speed is important.
    Benchmark results are available at :
    https://smil.cmm.minesparis.psl.eu/smil-vs-skimage
    Smil web site is here :
    https://smil.cmm.minesparis.psl.eu
    Comments are welcome,
    Best regards
    José-Marcio
    --
    ---------------------------------------------------------------
    Jose Marcio MARTINS DA CRUZ, Ph.D.
    Ecole des Mines de Paris
    Centre de Morphologie Mathématique
    https://orcid.org/0000-0002-2981-7028
    ---------------------------------------------------------------
    Mon livre sur le spam : http://amzn.to/LEscRu
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