Renamed scikits.image to skimage

This commit is contained in:
Nelle Varoquaux
2011-10-18 21:12:27 +02:00
parent b25011514b
commit 114cf44c77
159 changed files with 130 additions and 130 deletions
+2 -2
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@@ -3,8 +3,8 @@ include setup*.py
include MANIFEST.in
include *.txt
include Makefile
recursive-include scikits *.pyx *.pxd *.pxi *.py *.c *.h *.ini
recursive-include scikits/image/data *
recursive-include skimage *.pyx *.pxd *.pxi *.py *.c *.h *.ini
recursive-include skimage/data *
include doc/Makefile
recursive-include doc/source *.txt
+3 -3
View File
@@ -2,13 +2,13 @@
all:
python setup.py build_ext --inplace
git update-index --assume-unchanged scikits/image/version.py
git update-index --assume-unchanged skimage/version.py
clean:
find . -name "*.so" -o -name "*.pyc" | xargs rm -f
test:
nosetests scikits/image
nosetests skimage
coverage:
nosetests scikits/image --with-coverage --cover-package=scikits.image
nosetests skimage --with-coverage --cover-package=skimage
-1
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@@ -1 +0,0 @@
__import__('pkg_resources').declare_namespace(__name__)
-1
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@@ -1 +0,0 @@
version='unbuilt-dev'
+6 -10
View File
@@ -9,7 +9,7 @@ Please refer to the online documentation at
http://scikits-image.org/
"""
DISTNAME = 'scikits.image'
DISTNAME = 'skimage'
DESCRIPTION = 'Image processing routines for SciPy'
LONG_DESCRIPTION = descr
MAINTAINER = 'Stefan van der Walt'
@@ -31,8 +31,7 @@ def configuration(parent_package='', top_path=None):
if os.path.exists('MANIFEST'): os.remove('MANIFEST')
from numpy.distutils.misc_util import Configuration
config = Configuration(None, parent_package, top_path,
namespace_packages=['scikits'])
config = Configuration(None, parent_package, top_path)
config.set_options(
ignore_setup_xxx_py=True,
@@ -40,15 +39,13 @@ def configuration(parent_package='', top_path=None):
delegate_options_to_subpackages=True,
quiet=True)
config.add_subpackage('scikits')
config.add_subpackage(DISTNAME)
config.add_data_files('scikits/__init__.py')
config.add_data_dir('scikits/image/data')
config.add_data_dir('skimage/data')
return config
def write_version_py(filename='scikits/image/version.py'):
template = """# THIS FILE IS GENERATED FROM THE SCIKITS.IMAGE SETUP.PY
def write_version_py(filename='skimage/version.py'):
template = """# THIS FILE IS GENERATED FROM THE SKIMAGE SETUP.PY
version='%s'
"""
@@ -92,14 +89,13 @@ if __name__ == "__main__":
configuration=configuration,
install_requires=[],
namespace_packages=['scikits'],
packages=setuptools.find_packages(),
include_package_data=True,
zip_safe=False, # the package can run out of an .egg file
entry_points={
'console_scripts': [
'scivi = scikits.image.scripts.scivi:main']
'scivi = skimage.scripts.scivi:main']
},
cmdclass={'build_py': build_py},
@@ -20,7 +20,7 @@ def _setup_test():
print("Could not load nose. Unit tests not available.")
return None
else:
return functools.partial(_nose.run, 'scikits.image', argv=args)
return functools.partial(_nose.run, 'skimage', argv=args)
test = _setup_test()
if test is None:
@@ -53,7 +53,10 @@ def cython(pyx_files, working_path=''):
# if the generated .c file differs from the one provided,
# use that one instead
shutil.copy(c_file_new, c_file)
os.remove(c_file_new)
try:
os.remove(c_file_new)
except OSError:
pass
def same_cython(f0, f1):
@@ -82,8 +82,8 @@ def convert_colorspace(arr, fromspace, tospace):
Examples
--------
>>> import os
>>> from scikits.image import data_dir
>>> from scikits.image.io import imread
>>> from skimage import data_dir
>>> from skimage.io import imread
>>> lena = imread(os.path.join(data_dir, 'lena.png'))
>>> lena_hsv = convert_colorspace(lena, 'RGB', 'HSV')
@@ -147,8 +147,8 @@ def rgb2hsv(rgb):
Examples
--------
>>> import os
>>> from scikits.image import data_dir
>>> from scikits.image.io import imread
>>> from skimage import data_dir
>>> from skimage.io import imread
>>> lena = imread(os.path.join(data_dir, 'lena.png'))
>>> lena_hsv = color.rgb2hsv(lena)
@@ -222,8 +222,8 @@ def hsv2rgb(hsv):
Examples
--------
>>> import os
>>> from scikits.image import data_dir
>>> from scikits.image.io import imread
>>> from skimage import data_dir
>>> from skimage.io import imread
>>> lena = imread(os.path.join(data_dir, 'lena.png'))
>>> lena_hsv = rgb2hsv(lena)
@@ -345,9 +345,9 @@ def xyz2rgb(xyz):
Examples
--------
>>> import os
>>> from scikits.image import data_dir
>>> from scikits.image.io import imread
>>> from scikits.image.color import rgb2xyz, xyz2rgb
>>> from skimage import data_dir
>>> from skimage.io import imread
>>> from skimage.color import rgb2xyz, xyz2rgb
>>> lena = imread(os.path.join(data_dir, 'lena.png'))
>>> lena_xyz = rgb2xyz(lena)
@@ -386,8 +386,8 @@ def rgb2xyz(rgb):
Examples
--------
>>> import os
>>> from scikits.image import data_dir
>>> from scikits.image.io import imread
>>> from skimage import data_dir
>>> from skimage.io import imread
>>> lena = imread(os.path.join(data_dir, 'lena.png'))
>>> lena_xyz = rgb2xyz(lena)
@@ -420,9 +420,9 @@ def rgb2rgbcie(rgb):
Examples
--------
>>> import os
>>> from scikits.image import data_dir
>>> from scikits.image.io import imread
>>> from scikits.image.color import rgb2rgbcie
>>> from skimage import data_dir
>>> from skimage.io import imread
>>> from skimage.color import rgb2rgbcie
>>> lena = imread(os.path.join(data_dir, 'lena.png'))
>>> lena_rgbcie = rgb2rgbcie(lena)
@@ -455,9 +455,9 @@ def rgbcie2rgb(rgbcie):
Examples
--------
>>> import os
>>> from scikits.image import data_dir
>>> from scikits.image.io import imread
>>> from scikits.image.color import rgb2rgbcie, rgbcie2rgb
>>> from skimage import data_dir
>>> from skimage.io import imread
>>> from skimage.color import rgb2rgbcie, rgbcie2rgb
>>> lena = imread(os.path.join(data_dir, 'lena.png'))
>>> lena_rgbcie = rgb2rgbcie(lena)
@@ -498,9 +498,9 @@ def rgb2grey(rgb):
Examples
--------
>>> import os
>>> from scikits.image import data_dir
>>> from scikits.image.io import imread
>>> from scikits.image.color import rgb2grey
>>> from skimage import data_dir
>>> from skimage.io import imread
>>> from skimage.color import rgb2grey
>>> lena = imread(os.path.join(data_dir, 'lena.png'))
>>> lena_grey = rgb2grey(lena)
@@ -16,8 +16,8 @@ import os.path
import numpy as np
from numpy.testing import *
from scikits.image.io import imread
from scikits.image.color import (
from skimage.io import imread
from skimage.color import (
rgb2hsv, hsv2rgb,
rgb2xyz, xyz2rgb,
rgb2rgbcie, rgbcie2rgb,
@@ -25,7 +25,7 @@ from scikits.image.color import (
rgb2grey
)
from scikits.image import data_dir
from skimage import data_dir
import colorsys
@@ -5,7 +5,7 @@
import os as _os
from ..io import imread
from ...image import data_dir
from skimage import data_dir
def load(f):
"""Load an image file located in the data directory.

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@@ -1,4 +1,4 @@
import scikits.image.data as data
import skimage.data as data
from numpy.testing import assert_equal, assert_array_equal
import numpy as np
@@ -1,7 +1,7 @@
#!/usr/bin/env python
import os
from scikits.image._build import cython
from skimage._build import cython
base_path = os.path.abspath(os.path.dirname(__file__))
@@ -1,7 +1,7 @@
from numpy.testing import assert_array_equal
import numpy as np
from scikits.image.draw import bresenham
from skimage.draw import bresenham
def test_bresenham_horizontal():
img = np.zeros((10, 10))
@@ -129,7 +129,7 @@ def hog(image, orientations=9, pixels_per_cell=(8, 8),
hog_image = np.zeros((sy, sx), dtype=float)
if visualise:
from scikits.image import draw
from skimage import draw
for x in range(n_cellsx):
for y in range(n_cellsy):
@@ -1,10 +1,10 @@
import numpy as np
import scipy
from scikits.image.feature import hog
from skimage.feature import hog
def test_histogram_of_oriented_gradients():
# Replace with scikits.image.data.lena() after merge
# Replace with skimage.data.lena() after merge
img = scipy.misc.lena().astype(np.int8)
fd = hog(img, orientations=9, pixels_per_cell=(8, 8),
@@ -1,7 +1,7 @@
#!/usr/bin/env python
import os
from scikits.image._build import cython
from skimage._build import cython
base_path = os.path.abspath(os.path.dirname(__file__))
@@ -1,7 +1,7 @@
import unittest
import numpy as np
from scipy.ndimage import binary_dilation, binary_erosion
import scikits.image.filter as F
import skimage.filter as F
class TestCanny(unittest.TestCase):
@@ -1,6 +1,6 @@
import numpy as np
from scikits.image.filter import median_filter
from skimage.filter import median_filter
def test_00_00_zeros():
@@ -4,8 +4,8 @@ from numpy.testing import *
import numpy as np
from scipy.ndimage import binary_dilation, binary_erosion
import scikits.image.filter as F
from scikits.image import data_dir
import skimage.filter as F
from skimage import data_dir
class TestSobel():
def test_00_00_zeros(self):
@@ -3,9 +3,9 @@ import os.path
import numpy as np
from numpy.testing import *
from scikits.image import data_dir
from scikits.image.io import *
from scikits.image.filter import *
from skimage import data_dir
from skimage.io import *
from skimage.filter import *
class TestLPIFilter2D():
img = imread(os.path.join(data_dir, 'camera.png'),
@@ -1,8 +1,8 @@
import numpy as np
from numpy.testing import run_module_suite
from scikits.image import filter, data, color
from scikits.image import img_as_uint
from skimage import filter, data, color
from skimage import img_as_uint
class TestTvDenoise():
@@ -1,6 +1,6 @@
#!/usr/bin/env python
from scikits.image._build import cython
from skimage._build import cython
import os.path
base_path = os.path.abspath(os.path.dirname(__file__))
@@ -3,7 +3,7 @@ from numpy.testing import *
import time
import random
import scikits.image.graph.heap as heap
import skimage.graph.heap as heap
def test_heap():
_test_heap(100000, True)
@@ -1,7 +1,7 @@
import numpy as np
from numpy.testing import *
import scikits.image.graph.mcp as mcp
import skimage.graph.mcp as mcp
a = np.ones((8,8), dtype=np.float32)
a[1:-1, 1] = 0
@@ -1,7 +1,7 @@
import numpy as np
from numpy.testing import *
import scikits.image.graph.spath as spath
import skimage.graph.spath as spath
def test_basic():
x = np.array([[1, 1, 3],
@@ -1,6 +1,7 @@
__all__ = ['imread', 'imread_collection']
import scikits.image.io as io
import numpy as np
import skimage.io as io
try:
import pyfits
@@ -71,9 +71,9 @@ def call(kind, *args, **kwargs):
if len(plugin_funcs) == 0:
raise RuntimeError('''No suitable plugin registered for %s.
You may load I/O plugins with the `scikits.image.io.use_plugin`
You may load I/O plugins with the `skimage.io.use_plugin`
command. A list of all available plugins can be found using
`scikits.image.io.plugins()`.''' % kind)
`skimage.io.plugins()`.''' % kind)
plugin = kwargs.pop('plugin', None)
if plugin is None:
@@ -108,7 +108,7 @@ def use(name, kind=None):
Use the Python Imaging Library to read images:
>>> from scikits.image.io import plugin
>>> from skimage.io import plugin
>>> plugin.use('PIL', 'read')
"""
@@ -176,7 +176,7 @@ def _load(plugin):
raise ValueError("Plugin %s not found." % plugin)
else:
modname = plugin_module_name[plugin]
plugin_module = __import__('scikits.image.io._plugins.' + modname,
plugin_module = __import__('skimage.io._plugins.' + modname,
fromlist=[modname])
provides = plugin_provides[plugin]

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