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https://github.com/wassname/scikit-image.git
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JDWarner
61320957eb
In this new version, all instances of 'spectrum' have been replaced with 'channel'. The documentation also reflects this change, and the new multichannel kwarg used to indicate multichannel input is named appropriately. New boolean multichannel kwarg added, which controls if the input has multiple channels or not. Input 'data' is now array_like for both gray-level and multichannel. This kwarg is needed mainly because a 3-D array could be either 3 spatial dimensions or a set of different 2-D channels. New scaling kwarg added (may be removed in future), controlling if data scaling is applied to ALL channels or each channel individually, if multichannel=True. No effect for gray-level data. Removed np.sqrt(gradients) in _compute_weights_3d(), which was a bug. Tests now pass consistently. New method for maintaining shape from input to output, where dims = data.shape prior to np.atleast_3d(). A theoretical (70,100,1) array passed should now result in a (70,100,1) shaped output, for example. Updated and fixed multispectral test script to work with new version. TODO: Additional test(s) likely needed to cover code branches from new kwargs.
Image Processing SciKit
=======================
Source
------
https://github.com/scikits-image/scikits-image
Mailing List
------------
http://groups.google.com/group/scikits-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.
Contact
-------
Stefan van der Walt <stefan at sun.ac.za>