mirror of
https://github.com/wassname/scikit-image.git
synced 2026-07-07 10:08:17 +08:00
Juan Nunez-Iglesias
610a0d1793
Previously, having a different `sigma` for different dimensions
required an array input. This allows the user to use a simple list,
which gets converted to an array internally.
Importantly, it removes a very unhelpful error:
```python
>>> im = np.random.rand(10, 20)
>>> from skimage import segmentation as seg
Exception AttributeError: "'UmfpackContext' object has no attribute '_symbolic'" in <bound method UmfpackContext.__del__ of <scipy.sparse.linalg.dsolve.umfpack.umfpack.UmfpackContext object at 0x1045ff5d0>> ignored
>>> s = seg.slic(im, 2, sigma=[2, 1])
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-3-689b36a2f0ef> in <module>()
----> 1 s = seg.slic(im, 2, sigma=[2, 1])
/Users/nuneziglesiasj/venv/skimdev2/lib/python2.7/site-packages/scikit_image-0.9dev-py2.7-macosx-10.5-x86_64.egg/skimage/segmentation/slic_superpixels.pyc in slic(image, n_segments, compactness, max_iter, sigma, multichannel, convert2lab, ratio)
106 if not isinstance(sigma, coll.Iterable):
107 sigma = np.array([sigma, sigma, sigma])
--> 108 if (sigma > 0).any():
109 sigma = list(sigma) + [0]
110 image = ndimage.gaussian_filter(image, sigma)
AttributeError: 'bool' object has no attribute 'any'
```
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.