mirror of
https://github.com/wassname/scikit-image.git
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62 lines
2.0 KiB
Plaintext
62 lines
2.0 KiB
Plaintext
Build Requirements
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------------------
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* `Python >= 2.5 <http://python.org>`__
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* `Numpy >= 1.6 <http://numpy.scipy.org/>`__
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* `Cython >= 0.17 <http://www.cython.org/>`__
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`Matplotlib >= 1.0 <http://matplotlib.sf.net>`__ is needed to generate the
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examples in the documentation.
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You can use pip to automatically install the base dependencies as follows::
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$ pip install -r requirements.txt
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Runtime requirements
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--------------------
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* `SciPy >= 0.10 <http://scipy.org>`__
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* `NetworkX >= 1.8 <https://networkx.github.io>`__
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Known build errors
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------------------
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On Windows, the error ``Error:unable to find vcvarsall.bat`` 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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Usage Requirements
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------------------
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* `Scipy <http://www.scipy.org/>`__
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Optional Requirements
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---------------------
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You can use this scikit with the basic requirements listed above, but some
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functionality is only available with the following installed:
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* `PyQt4 <http://wiki.python.org/moin/PyQt>`__
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The ``qt`` plugin that provides ``imshow(x, fancy=True)`` and `skivi`.
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* `FreeImage <http://freeimage.sf.net>`__
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The ``freeimage`` plugin provides support for reading various types of
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image file formats, including multi-page TIFFs.
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* `PyAMG <http://pyamg.org/>`__
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The ``pyamg`` module is used for the fast `cg_mg` mode of random
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walker segmentation.
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* `Pillow <https://pypi.python.org/pypi/Pillow>`__
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(or `PIL <http://www.pythonware.com/products/pil/>`__)
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The ``Pillow`` library (or equivalently ``PIL``) is used for Input/Output.
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* `Astropy <http://www.astropy.org>`__ is required to use the FITS io plug-in.
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Testing requirements
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--------------------
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* `Nose <https://nose.readthedocs.org/en/latest/>`__
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A Python Unit Testing Framework
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* `Coverage.py <http://nedbatchelder.com/code/coverage/>`__
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A tool that generates a unit test code coverage report
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