Pre-built installation¶

Windows binaries are kindly provided by Christoph Gohlke.

The latest stable release is also included as part of the Enthought Python Distribution (EPD) and Python(x,y).

On systems that support setuptools, the package can be installed from the Python packaging index using

easy_install -U scikit-image

or

pip install -U scikit-image

Installation from source¶

Obtain the source from the git-repository at http://github.com/scikit-image/scikit-image.

by running

git clone http://github.com/scikit-image/scikit-image.git

in a terminal (You will need to have git installed on your machine).

If you do not have git installed, you can also download a zipball from https://github.com/scikit-image/scikit-image/zipball/master.

The SciKit can be installed globally using

python setup.py install

or locally using

python setup.py install --prefix=${HOME}

If you prefer, you can use it without installing, by simply adding this path to your PYTHONPATH variable and compiling extensions in-place:

python setup.py build_ext -i

Build Requirements¶

• Python >= 2.5
• Numpy >= 1.6
• Cython >= 0.15

Matplotlib >= 1.0 is needed to generate the examples in the documentation.

Runtime requirements¶

• SciPy >= 0.10

Known build errors¶

On Windows, the error Error:unable to find vcvarsall.bat means that distutils is not correctly configured to use the C compiler. Modify (or create, if not existing) the configuration file distutils.cfg (located for example at C:\Python26\Lib\distutils\distutils.cfg) to contain:

[build]
compiler=mingw32

Usage Requirements¶

• Scipy

Optional Requirements¶

You can use this scikit with the basic requirements listed above, but some functionality is only available with the following installed:

PyQt4

The qt plugin that provides imshow(x, fancy=True) and skivi.

FreeImage

The freeimage plugin provides support for reading various types of image file formats, including multi-page TIFFs.