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Create a free Team Why Teams? Learn more about Collectives. Learn more about Teams. How to install scikit-image? Windows - Python 3. Asked 7 years, 8 months ago. Modified 7 years, 8 months ago.
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Mar 6, Mar 4, Download the file for your platform. If you're not sure which to choose, learn more about installing packages. Uploaded Jun 12, source. Uploaded Jun 12, cp Warning Some features may not work without JavaScript. Please try enabling it if you encounter problems. Search PyPI Search. Latest version Released: Jun 12, Image processing in Python.
Navigation Project description Release history Download files. Maintainers Emmanuelle grlee77 hmaarrfk jni matthew. Installation from source Install dependencies using: pip install -r requirements. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Neither the name of skimage nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. This is a quick option for those who have operating systems or Python distributions that distribute scikit-learn. It might not provide the latest release version.
Building the package from source. This is also needed for users who wish to contribute to the project. Note that in order to avoid potential conflicts with other packages it is strongly recommended to use a virtual environment venv or a conda environment. Using such an isolated environment makes it possible to install a specific version of scikit-learn with pip or conda and its dependencies independently of any previously installed Python packages.
In particular under Linux is it discouraged to install pip packages alongside the packages managed by the package manager of the distribution apt, dnf, pacman…. Note that you should always remember to activate the environment of your choice prior to running any Python command whenever you start a new terminal session. If you have not installed NumPy or SciPy yet, you can also install these using conda or pip.
When using pip, please ensure that binary wheels are used, and NumPy and SciPy are not recompiled from source, which can happen when using particular configurations of operating system and hardware such as Linux on a Raspberry Pi. Scikit-learn plotting capabilities i. The examples require Matplotlib and some examples require scikit-image, pandas, or seaborn.
The minimum version of Scikit-learn dependencies are listed below along with its purpose.
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