mirror of
https://github.com/wassname/scikit-image.git
synced 2026-10-29 13:30:24 +08:00
Rename package to `skimage`.
This commit is contained in:
commit
7542f06e9d
184 files changed
+192
-189
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+1
-1
@@ -11,6 +11,6 @@ doc/build
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source/api
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build
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dist
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scikits/image/version.py
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skimage/version.py
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*.swp
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.coverage
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+5
-2
@@ -25,7 +25,7 @@
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- Tony Yu
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Reading of paletted images; build, bug and doc fixes.
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Code to generate scikits-image logo.
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Code to generate skimage logo.
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- Zachary Pincus
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Tracing of low cost paths, FreeImage I/O plugin
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@@ -80,4 +80,7 @@
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- Neil Yager
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Skeletonization.
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- Nelle Varoquaux
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Renaming of the package to ``skimage``.
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+4
-4
@@ -2,7 +2,7 @@ Development process
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-------------------
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:doc:`Read this overview <gitwash/index>` of how to use Git with
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``scikits.image``. Here's the long and short of it:
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``skimage``. Here's the long and short of it:
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* Go to `https://github.com/scikits-image/scikits.image
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<http://github.com/scikits-image/scikits.image>`_ and follow the
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@@ -52,13 +52,13 @@ i.e. statement coverage should be at 100%.
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$ make coverage
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This will print a report with one line for each file in `scikits.image`,
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This will print a report with one line for each file in `skimage`,
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detailing the test coverage::
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Name Stmts Exec Cover Missing
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------------------------------------------------------------------------------
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scikits/image/color/colorconv 77 77 100%
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scikits/image/filter/__init__ 1 1 100%
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skimage/color/colorconv 77 77 100%
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skimage/filter/__init__ 1 1 100%
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...
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Bugs
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+5
-5
@@ -1,12 +1,12 @@
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Unless otherwise specified by LICENSE.txt files in individual
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directories, all code is
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Copyright (C) 2011, the scikits-image team
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Copyright (C) 2011, the Image Scikit team
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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met:
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||||
|
||||
1. Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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@@ -14,9 +14,9 @@ met:
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notice, this list of conditions and the following disclaimer in
|
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the documentation and/or other materials provided with the
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distribution.
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3. Neither the name of scikits.image nor the names of its
|
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contributors may be used to endorse or promote products derived
|
||||
from this software without specific prior written permission.
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3. Neither the name of skimage nor the names of its contributors may be
|
||||
used to endorse or promote products derived from this software without
|
||||
specific prior written permission.
|
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|
||||
THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
|
||||
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
||||
|
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+2
-2
@@ -3,8 +3,8 @@ include setup*.py
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include MANIFEST.in
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include *.txt
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include Makefile
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recursive-include scikits *.pyx *.pxd *.pxi *.py *.c *.h *.ini
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recursive-include scikits/image/data *
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recursive-include skimage *.pyx *.pxd *.pxi *.py *.c *.h *.ini
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recursive-include skimage/data *
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include doc/Makefile
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recursive-include doc/source *.txt
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@@ -2,13 +2,13 @@
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|
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all:
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python setup.py build_ext --inplace
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git update-index --assume-unchanged scikits/image/version.py
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git update-index --assume-unchanged skimage/version.py
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clean:
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find . -name "*.so" -o -name "*.pyc" | xargs rm -f
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test:
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nosetests scikits/image
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nosetests skimage
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coverage:
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nosetests scikits/image --with-coverage --cover-package=scikits.image
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nosetests skimage --with-coverage --cover-package=skimage
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+2
-2
@@ -1,5 +1,5 @@
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How to make a new release of ``scikits.image``
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==============================================
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How to make a new release of ``skimage``
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========================================
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- Update the version number in setup.py and commit
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- Update the docs and api, push upstream using "make gh-pages"
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@@ -1,15 +1,15 @@
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.. role:: strike
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|
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How to contribute to ``scikits.image``
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How to contribute to ``skimage``
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======================================
|
||||
|
||||
Developing Open Source is great fun! Join us on the `scikits-image mailing
|
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Developing Open Source is great fun! Join us on the `skimage mailing
|
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list <http://groups.google.com/group/scikits-image>`_ and tell us which of the
|
||||
following challenges you'd like to solve.
|
||||
|
||||
* Mentoring is available for those new to scientific programming in Python.
|
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* The technical detail of the `development process`_ is given below.
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* :doc:`How to use GitHub <gitwash/index>` when developing scikits.image
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* :doc:`How to use GitHub <gitwash/index>` when developing skimage
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|
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.. contents::
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:local:
|
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|
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@@ -59,9 +59,9 @@ References
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|
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'''
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from scikits.image.transform import hough, probabilistic_hough
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from scikits.image.filter import canny
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from scikits.image import data
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from skimage.transform import hough, probabilistic_hough
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from skimage.filter import canny
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from skimage import data
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import numpy as np
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import matplotlib.pyplot as plt
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|
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@@ -19,8 +19,8 @@ the tradeoff between denoising and faithfulness to the original image.
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import numpy as np
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import matplotlib.pyplot as plt
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|
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from scikits.image import data, color, img_as_ubyte
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from scikits.image.filter import tv_denoise
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from skimage import data, color, img_as_ubyte
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from skimage.filter import tv_denoise
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|
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l = img_as_ubyte(color.rgb2gray(data.lena()))
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l = l[230:290, 220:320]
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|
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@@ -20,9 +20,9 @@ input image based on the resulting sinogram.
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|
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import matplotlib.pyplot as plt
|
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|
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from scikits.image.io import imread
|
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from scikits.image import data_dir
|
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from scikits.image.transform import radon, iradon
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from skimage.io import imread
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from skimage import data_dir
|
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from skimage.transform import radon, iradon
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from scipy.ndimage import zoom
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image = imread(data_dir + "/phantom.png", as_grey=True)
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|
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@@ -27,7 +27,7 @@ more details on the algorithm.
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import numpy as np
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from scipy import ndimage
|
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import matplotlib.pyplot as plt
|
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from scikits.image.morphology import watershed, is_local_maximum
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from skimage.morphology import watershed, is_local_maximum
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|
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# Generate an initial image with two overlapping circles
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x, y = np.indices((80, 80))
|
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|
||||
@@ -1,5 +1,5 @@
|
||||
"""
|
||||
Script to draw scikits.image logo using Scipy logo as stencil. The easiest
|
||||
Script to draw skimage logo using Scipy logo as stencil. The easiest
|
||||
starting point is the `plot_colorized_logo`; the "if-main" demonstrates its use.
|
||||
|
||||
Original snake image from pixabay [1]_
|
||||
@@ -10,8 +10,8 @@ import numpy as np
|
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import matplotlib.pyplot as plt
|
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import scipy.misc
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||||
|
||||
import scikits.image.io as sio
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||||
import scikits.image.filter as imfilt
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import skimage.io as sio
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import skimage.filter as imfilt
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||||
|
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import scipy_logo
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||||
|
||||
|
||||
@@ -3,7 +3,7 @@ Code used to trace Scipy logo.
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||||
"""
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||||
import numpy as np
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import matplotlib.pyplot as plt
|
||||
import scikits.image.io as imgio
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||||
import skimage.io as imgio
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||||
from scipy.misc import lena
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import matplotlib.nxutils as nx
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||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from scikits.image import io, transform
|
||||
from skimage import io, transform
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|
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s = 0.7
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||||
|
||||
|
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+5
-5
@@ -1,6 +1,6 @@
|
||||
# -*- coding: utf-8 -*-
|
||||
#
|
||||
# scikits.image documentation build configuration file, created by
|
||||
# skimage documentation build configuration file, created by
|
||||
# sphinx-quickstart on Sat Aug 22 13:00:30 2009.
|
||||
#
|
||||
# This file is execfile()d with the current directory set to its containing dir.
|
||||
@@ -48,8 +48,8 @@ source_suffix = '.txt'
|
||||
master_doc = 'index'
|
||||
|
||||
# General information about the project.
|
||||
project = u'scikits.image'
|
||||
copyright = u'2011, scikits-image team'
|
||||
project = u'skimage'
|
||||
copyright = u'2011, the Image Scikit team'
|
||||
|
||||
# The version info for the project you're documenting, acts as replacement for
|
||||
# |version| and |release|, also used in various other places throughout the
|
||||
@@ -122,7 +122,7 @@ html_theme_path = ['themes']
|
||||
|
||||
# The name for this set of Sphinx documents. If None, it defaults to
|
||||
# "<project> v<release> documentation".
|
||||
html_title = 'scikits.image v%s docs' % version
|
||||
html_title = 'skimage v%s docs' % version
|
||||
|
||||
# A shorter title for the navigation bar. Default is the same as html_title.
|
||||
#html_short_title = None
|
||||
@@ -197,7 +197,7 @@ htmlhelp_basename = 'scikitsimagedoc'
|
||||
# Grouping the document tree into LaTeX files. List of tuples
|
||||
# (source start file, target name, title, author, documentclass [howto/manual]).
|
||||
latex_documents = [
|
||||
('contents', 'scikitsimage.tex', u'scikits.image Documentation',
|
||||
('contents', 'scikitsimage.tex', u'The Image Scikit Documentation',
|
||||
u'SciPy Developers', 'manual'),
|
||||
]
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
****************************
|
||||
scikits.image |version| docs
|
||||
skimage |version| docs
|
||||
****************************
|
||||
|
||||
This SciKit_ is an image processing toolbox for SciPy_.
|
||||
@@ -16,15 +16,15 @@ Sections
|
||||
|
||||
* - `Overview <overview.html>`_
|
||||
|
||||
Introduction to scikits.image.
|
||||
Introduction to skimage.
|
||||
|
||||
- `API Reference <api/api.html>`_ (`changes <api_changes.html>`_)
|
||||
|
||||
Documentation for the functions included in scikits.image.
|
||||
Documentation for the functions included in skimage.
|
||||
|
||||
* - `Installation Steps <install.html>`_
|
||||
|
||||
How to install scikits.image.
|
||||
How to install skimage.
|
||||
|
||||
- `User Guide <user_guide.html>`_
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
from scikits.image.transform import hough
|
||||
from skimage.transform import hough
|
||||
|
||||
img = np.zeros((100, 150), dtype=bool)
|
||||
img[30, :] = 1
|
||||
|
||||
@@ -3,8 +3,8 @@ import os
|
||||
import matplotlib.pyplot as plt
|
||||
from mpl_toolkits.axes_grid import AxesGrid
|
||||
|
||||
from scikits.image.io import MultiImage
|
||||
from scikits.image import data_dir
|
||||
from skimage.io import MultiImage
|
||||
from skimage import data_dir
|
||||
|
||||
# Load the multi-layer image
|
||||
fname = os.path.join(data_dir, 'multipage.tif')
|
||||
|
||||
@@ -5,7 +5,7 @@ Image data types and what they mean
|
||||
|
||||
This is a preliminary design document.
|
||||
|
||||
In ``scikits.image``, we assume the following dtype ranges:
|
||||
In ``skimage``, we assume the following dtype ranges:
|
||||
|
||||
=========== ================
|
||||
Data type Range
|
||||
|
||||
@@ -4,8 +4,8 @@ A plugin consists of two files, the source and the descriptor ``.ini``. Let's
|
||||
say we'd like to provide a plugin for ``imshow`` using ``matplotlib``. We'll
|
||||
call our plugin ``mpl``::
|
||||
|
||||
scikits/image/io/_plugins/mpl.py
|
||||
scikits/image/io/_plugins/mpl.ini
|
||||
skimage/io/_plugins/mpl.py
|
||||
skimage/io/_plugins/mpl.ini
|
||||
|
||||
The name of the ``.py`` and ``.ini`` files must correspond. Inside the
|
||||
``.ini`` file, we give the plugin meta-data::
|
||||
@@ -45,10 +45,10 @@ provide it as follows::
|
||||
plt.show()
|
||||
|
||||
Any plugin in the ``_plugins`` directory is automatically examined by
|
||||
``scikits.image.io`` upon import. You may list all the plugins on your
|
||||
``skimage.io`` upon import. You may list all the plugins on your
|
||||
system::
|
||||
|
||||
>>> import scikits.image.io as io
|
||||
>>> import skimage.io as io
|
||||
>>> io.plugins()
|
||||
{'gtk': ['imshow'],
|
||||
'matplotlib': ['imshow', 'imsave'],
|
||||
@@ -63,7 +63,7 @@ or only those already loaded::
|
||||
|
||||
A plugin is loaded using the ``use_plugin`` command::
|
||||
|
||||
>>> import scikits.image.io as io
|
||||
>>> import skimage.io as io
|
||||
>>> io.use_plugin('pil') # Use all capabilities provided by PIL
|
||||
|
||||
or
|
||||
|
||||
+1
-1
@@ -13,7 +13,7 @@ Previously functions and classes were found by parsing the text of .py files.
|
||||
Extension modules should be discovered and included as well.
|
||||
|
||||
This is a modified version of a script originally shipped with the PyMVPA
|
||||
project, then adapted for use first in NIPY and then in scikits.image. PyMVPA
|
||||
project, then adapted for use first in NIPY and then in skimage. PyMVPA
|
||||
is an MIT-licensed project.
|
||||
"""
|
||||
|
||||
|
||||
@@ -17,7 +17,7 @@ def abort(error):
|
||||
exit()
|
||||
|
||||
if __name__ == '__main__':
|
||||
package = 'scikits.image'
|
||||
package = 'skimage'
|
||||
|
||||
# Check that the 'image' package is available. If not, the API
|
||||
# documentation is not (re)generated and existing API documentation
|
||||
@@ -26,7 +26,7 @@ if __name__ == '__main__':
|
||||
try:
|
||||
__import__(package)
|
||||
except ImportError, e:
|
||||
abort("Can not import scikits.image")
|
||||
abort("Can not import skimage")
|
||||
|
||||
module = sys.modules[package]
|
||||
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
__import__('pkg_resources').declare_namespace(__name__)
|
||||
@@ -1 +0,0 @@
|
||||
version='unbuilt-dev'
|
||||
@@ -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):
|
||||
File renamed without changes.
@@ -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.
|
||||
@@ -18,7 +18,7 @@ def load(f):
|
||||
Returns
|
||||
-------
|
||||
img : ndarray
|
||||
Image loaded from scikits.image.data_dir.
|
||||
Image loaded from skimage.data_dir.
|
||||
"""
|
||||
return imread(_os.path.join(data_dir, f))
|
||||
|
||||
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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
|
||||
|
||||
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@@ -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))
|
||||
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@@ -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),
|
||||
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@@ -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
-3
@@ -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'),
|
||||
+2
-2
@@ -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():
|
||||
|
||||
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@@ -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__))
|
||||
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