Jostein Bø Fløystad 2be327815e radon: Use numpy.interp/scipy.interpolate.
Scipy supports all interpolation kinds (nearest, linear) we need, while
numpy supports only linear interpolation. The numpy interpolation is
substantially faster, so this is used even though it complicates the
code slightly.
2013-07-06 20:55:53 +02:00
2012-10-29 18:07:46 +01:00
2013-05-31 03:14:48 +02:00
2013-07-05 13:36:55 +02:00
2012-11-02 16:02:06 -07:00
2013-06-29 10:16:42 -05:00

Image Processing SciKit

Source

https://github.com/scikit-image/scikit-image

Mailing List

http://groups.google.com/group/scikit-image

Installation from source

Refer to DEPENDS.txt for a list of dependencies.

The SciKit may 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 the extensions:

$ python setup.py build_ext -i

License

Please read LICENSE.txt in this directory.

S
Description
Image Processing SciKit (Toolbox for SciPy)
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