mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-30 02:56:19 +08:00
Josh Warner (Mac)
20ae0a1ca2
This PR exposes NumPy 1.8+ padding functionality to all users of scikit-image, regardless of their personal NumPy version. The improved (much better scaling with dimensionality) version introduced in NumPy 1.8 is used.
24 lines
632 B
Python
24 lines
632 B
Python
from .dtype import (img_as_float, img_as_int, img_as_uint, img_as_ubyte,
|
|
img_as_bool, dtype_limits)
|
|
from .shape import view_as_blocks, view_as_windows
|
|
|
|
import numpy
|
|
ver = numpy.__version__.split('.')
|
|
chk = int(ver[0] + ver[1])
|
|
if chk < 18: # Use internal version for numpy versions < 1.8.x
|
|
from .arraypad import pad
|
|
else:
|
|
from numpy import pad
|
|
del numpy, ver, chk
|
|
|
|
|
|
__all__ = ['img_as_float',
|
|
'img_as_int',
|
|
'img_as_uint',
|
|
'img_as_ubyte',
|
|
'img_as_bool',
|
|
'dtype_limits',
|
|
'view_as_blocks',
|
|
'view_as_windows',
|
|
'pad']
|