mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-28 01:31:21 +08:00
Leena P
123 lines
3.5 KiB
Plaintext
123 lines
3.5 KiB
Plaintext
Installing scikit-image
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=======================
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Standard Python installation
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----------------------------
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From the shell, execute::
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pip install scikit-image
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Conda-based distributions (Anaconda, Miniconda)
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-----------------------------------------------
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From the shell/command prompt, execute::
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conda install scikit-image
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Windows
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-------
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``scikit-image`` comes pre-installed with several Python
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distributions, including Anaconda_, `Enthought Canopy`_,
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`Python(x,y)`_ and `WinPython`.
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.. _Anaconda: https://store.continuum.io/cshop/anaconda/
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.. _Enthought Canopy: https://www.enthought.com/products/canopy/
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.. _Python(x,y): http://code.google.com/p/pythonxy/wiki/Welcome
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.. _WinPython: https://winpython.github.io/
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If you are using the distribution from python.org_, you'll need to
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manually download a few packages: numpy, scipy and scikit-image from
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`Christoph Gohlke's`_ website. Python wheels are installed using::
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pip install SomePackage-1.0-py2.py3-none-any.whl
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Debian and Ubuntu
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-----------------
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On Debian and Ubuntu install scikit-image with::
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sudo apt-get install python-skimage
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Building from source
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--------------------
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Execute the following command from the shell::
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pip install scikit-image
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Windows
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```````
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If you experience the error ``Error:unable to find vcvarsall.bat`` it means that
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distutils is not correctly configured to use the C compiler. Modify (or create,
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if not existing) the configuration file ``distutils.cfg`` (located for
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example at ``C:\Python26\Lib\distutils\distutils.cfg``) to contain::
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[build]
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compiler=mingw32
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For more details on compiling in Windows, there is a lot of knowledge iterated
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into the `setup of appveyor`_ (a continuous integration service).
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.. _miniconda: http://conda.pydata.org/miniconda.html
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.. _python.org: http://python.org/
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.. _Christoph Gohlke's: http://www.lfd.uci.edu/~gohlke/pythonlibs/
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.. _setup of appveyor: https://github.com/scikit-image/scikit-image/blob/master/appveyor.yml
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Debian and Ubuntu
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`````````````````
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If your distribution ships an outdated version, you may recompile from
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source. First install the dependencies::
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sudo apt-get install python-matplotlib python-numpy python-pil python-scipy
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Get compilers::
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sudo apt-get install build-essential cython
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Then run the pip installation command.
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Running the development version
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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`` by running::
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git clone https://github.com/scikit-image/scikit-image.git
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After unpacking, change into the source directory and execute:
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pip install -e .
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To update::
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git pull # Grab latest source
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python setup.py build_ext -i # Compile any modified extensions
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Building with bento
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```````````````````
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Alternatively, ``scikit-image`` can also be built using `bento
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<http://cournape.github.io/Bento/>`__. Bento depends on `WAF
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<https://code.google.com/p/waf/>`__ for compilation.
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Follow the `Bento installation instructions
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<http://cournape.github.io/Bento/html/install.html>`__ and `download the WAF
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source <http://code.google.com/p/waf/downloads/list>`__.
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Tell Bento where to find WAF by setting the ``WAFDIR`` environment variable::
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export WAFDIR=<path/to/waf>
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From the ``scikit-image`` source directory::
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bentomaker configure
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bentomaker build -j # (add -i for in-place build)
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bentomaker install # (when not building in-place)
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Depending on file permissions, the install commands may need to be run as
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sudo.
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.. include:: ../../DEPENDS.txt
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