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  1. scikit-image: Image processing in Python — scikit-image

    Feb 28, 2023 · scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written …

  2. scikit-image · PyPI

    Feb 18, 2025 · Stéfan van der Walt, Johannes L. Schönberger, Juan Nunez-Iglesias, François Boulogne, Joshua D. Warner, Neil Yager, Emmanuelle Gouillart, Tony Yu, and the scikit …

  3. Examples — skimage 0.25.2 documentation - scikit-image

    A gallery of examples and that showcase how scikit-image can be used. Some examples demonstrate the use of the API in general and some demonstrate specific applications in …

  4. 3. Getting started — skimage 0.25.2 documentation - scikit-image

    Within scikit-image, images are represented as NumPy arrays, for example 2-D arrays for grayscale 2-D images. The skimage.data submodule provides a set of functions returning …

  5. Welcome to Scikit-plot’s documentation!

    That said, there are a number of visualizations that frequently pop up in machine learning. Scikit-plot is a humble attempt to provide aesthetically-challenged programmers (such as myself) the …

  6. GitHub - scikit-image/scikit-image: Image processing in Python

    Image processing in Python. Contribute to scikit-image/scikit-image development by creating an account on GitHub.

  7. Documentation for scikits-image - scikit-image

    Documentation for scikits-imageDocumentation for:

  8. Lectures — Image analysis in Python - scikit-image

    See the full list of lectures. Workshop teaching schedules. Refer to the gallery as well as scikit-image demos for more examples. © Copyright 2020.

  9. scikit-bio: Bioinformatics in Python — scikit-bio

    Robust, performant and scalable algorithms tailored for the vast landscape of biological data analysis spanning genomics, microbiomics, ecology, evolutionary biology and more. Built to …

  10. scikit-image: image processing — Scientific Python Lectures

    This chapter describes how to use scikit-image for various image processing tasks, and how it relates to other scientific Python modules such as NumPy and SciPy.