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scikit-image download for Windows

Free download scikit-image Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named scikit-image whose latest release can be downloaded as v0.22.0.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named scikit-image with OnWorks for free.

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- 1. Downloaded this application in your PC.

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- 3. Upload this application in such filemanager.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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scikit-image


DESCRIPTION

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 by an active community of volunteers. scikit-image builds on scipy.ndimage to provide a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! Read about our mission, vision, and values and how we govern the project. Major proposals to the project are documented in SKIPs. The scikit-image community consists of anyone using or working with the project in any way. A community member can become a contributor by interacting directly with the project in concrete ways.



Features

  • scikit-image is an image processing Python package that works with numpy arrays
  • Filtering an image with scikit-image is easy
  • Most functions of skimage are found within submodules
  • A list of submodules and functions is found on the API reference webpage
  • Within scikit-image, images are represented as NumPy arrays
  • It is possible to load your own images as NumPy arrays from image files


Programming Language

Python


Categories

Image Recognition, Image Processing, Image Processing Libraries

This is an application that can also be fetched from https://sourceforge.net/projects/scikit-image.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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