mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 11:53:45 +08:00
Tony S Yu
63 lines
1.8 KiB
Plaintext
63 lines
1.8 KiB
Plaintext
Pre-built installation
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----------------------
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`Windows binaries
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<http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikits.image>`__
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are kindly provided by Christoph Gohlke.
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The latest stable release is also included as part of the `Enthought Python
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Distribution (EPD) <http://enthought.com/products/epd.php>`__, `Python(x,y)
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<http://code.google.com/p/pythonxy/wiki/Welcome>`__ and
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`Anaconda <https://store.continuum.io/cshop/anaconda/>`__.
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On Debian and Ubuntu, a Debian package ``python-skimage`` can be found in
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`the Neurodebian repository <http://neuro.debian.net>`__. Follow `the
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instructions <http://neuro.debian.net/#how-to-use-this-repository>`__ to
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add Neurodebian to your system package manager, then look for
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``python-skimage`` in the package manager.
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On systems that support setuptools, the package can be installed from the
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`Python packaging index <http://pypi.python.org/pypi/scikit-image>`__ using
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::
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easy_install -U scikit-image
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or
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::
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pip install -U scikit-image
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Installation from source
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------------------------
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Obtain the source from the git-repository at
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`http://github.com/scikit-image/scikit-image
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<http://github.com/scikit-image/scikit-image>`_ by running::
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git clone http://github.com/scikit-image/scikit-image.git
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in a terminal (you will need to have git installed on your machine).
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If you do not have git installed, you can also download a zipball from
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`https://github.com/scikit-image/scikit-image/zipball/master
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<https://github.com/scikit-image/scikit-image/zipball/master>`_.
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The SciKit can be installed globally using::
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python setup.py install
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or locally using::
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python setup.py install --prefix=${HOME}
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If you prefer, you can use it without installing, by simply adding
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this path to your ``PYTHONPATH`` variable and compiling extensions
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in-place::
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python setup.py build_ext -i
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.. include:: ../../DEPENDS.txt
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