Fully document PIL.ImageOps; fix some :py:mod: markup

This commit is contained in:
Stephen Johnson 2013-10-12 22:17:45 -07:00
parent e2d88b5a51
commit 20b9d9774a
13 changed files with 169 additions and 148 deletions

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@ -22,14 +22,6 @@ from PIL._util import isStringType
import operator import operator
from functools import reduce from functools import reduce
##
# (New in 1.1.3) The <b>ImageOps</b> module contains a number of
# 'ready-made' image processing operations. This module is somewhat
# experimental, and most operators only work on L and RGB images.
#
# @since 1.1.3
##
# #
# helpers # helpers
@ -63,20 +55,20 @@ def _lut(image, lut):
# #
# actions # actions
##
# Maximize (normalize) image contrast. This function calculates a
# histogram of the input image, removes <i>cutoff</i> percent of the
# lightest and darkest pixels from the histogram, and remaps the image
# so that the darkest pixel becomes black (0), and the lightest
# becomes white (255).
#
# @param image The image to process.
# @param cutoff How many percent to cut off from the histogram.
# @param ignore The background pixel value (use None for no background).
# @return An image.
def autocontrast(image, cutoff=0, ignore=None): def autocontrast(image, cutoff=0, ignore=None):
"Maximize image contrast, based on histogram" """
Maximize (normalize) image contrast. This function calculates a
histogram of the input image, removes **cutoff** percent of the
lightest and darkest pixels from the histogram, and remaps the image
so that the darkest pixel becomes black (0), and the lightest
becomes white (255).
:param image: The image to process.
:param cutoff: How many percent to cut off from the histogram.
:param ignore: The background pixel value (use None for no background).
:return: An image.
"""
histogram = image.histogram() histogram = image.histogram()
lut = [] lut = []
for layer in range(0, len(histogram), 256): for layer in range(0, len(histogram), 256):
@ -139,19 +131,19 @@ def autocontrast(image, cutoff=0, ignore=None):
lut.append(ix) lut.append(ix)
return _lut(image, lut) return _lut(image, lut)
##
# Colorize grayscale image. The <i>black</i> and <i>white</i>
# arguments should be RGB tuples; this function calculates a colour
# wedge mapping all black pixels in the source image to the first
# colour, and all white pixels to the second colour.
#
# @param image The image to colourize.
# @param black The colour to use for black input pixels.
# @param white The colour to use for white input pixels.
# @return An image.
def colorize(image, black, white): def colorize(image, black, white):
"Colorize a grayscale image" """
Colorize grayscale image. The **black** and **white**
arguments should be RGB tuples; this function calculates a color
wedge mapping all black pixels in the source image to the first
color, and all white pixels to the second color.
:param image: The image to colorize.
:param black: The color to use for black input pixels.
:param white: The color to use for white input pixels.
:return: An image.
"""
assert image.mode == "L" assert image.mode == "L"
black = _color(black, "RGB") black = _color(black, "RGB")
white = _color(white, "RGB") white = _color(white, "RGB")
@ -163,49 +155,50 @@ def colorize(image, black, white):
image = image.convert("RGB") image = image.convert("RGB")
return _lut(image, red + green + blue) return _lut(image, red + green + blue)
##
# Remove border from image. The same amount of pixels are removed
# from all four sides. This function works on all image modes.
#
# @param image The image to crop.
# @param border The number of pixels to remove.
# @return An image.
# @see Image#Image.crop
def crop(image, border=0): def crop(image, border=0):
"Crop border off image" """
Remove border from image. The same amount of pixels are removed
from all four sides. This function works on all image modes.
.. seealso:: :py:meth:`~PIL.Image.Image.crop`
:param image: The image to crop.
:param border: The number of pixels to remove.
:return: An image.
"""
left, top, right, bottom = _border(border) left, top, right, bottom = _border(border)
return image.crop( return image.crop(
(left, top, image.size[0]-right, image.size[1]-bottom) (left, top, image.size[0]-right, image.size[1]-bottom)
) )
##
# Deform the image.
#
# @param image The image to deform.
# @param deformer A deformer object. Any object that implements a
# <b>getmesh</b> method can be used.
# @param resample What resampling filter to use.
# @return An image.
def deform(image, deformer, resample=Image.BILINEAR): def deform(image, deformer, resample=Image.BILINEAR):
"Deform image using the given deformer" """
Deform the image.
:param image: The image to deform.
:param deformer: A deformer object. Any object that implements a
**getmesh** method can be used.
:param resample: What resampling filter to use.
:return: An image.
"""
return image.transform( return image.transform(
image.size, Image.MESH, deformer.getmesh(image), resample image.size, Image.MESH, deformer.getmesh(image), resample
) )
##
# Equalize the image histogram. This function applies a non-linear
# mapping to the input image, in order to create a uniform
# distribution of grayscale values in the output image.
#
# @param image The image to equalize.
# @param mask An optional mask. If given, only the pixels selected by
# the mask are included in the analysis.
# @return An image.
def equalize(image, mask=None): def equalize(image, mask=None):
"Equalize image histogram" """
Equalize the image histogram. This function applies a non-linear
mapping to the input image, in order to create a uniform
distribution of grayscale values in the output image.
:param image: The image to equalize.
:param mask: An optional mask. If given, only the pixels selected by
the mask are included in the analysis.
:return: An image.
"""
if image.mode == "P": if image.mode == "P":
image = image.convert("RGB") image = image.convert("RGB")
h = image.histogram(mask) h = image.histogram(mask)
@ -225,15 +218,16 @@ def equalize(image, mask=None):
n = n + h[i+b] n = n + h[i+b]
return _lut(image, lut) return _lut(image, lut)
##
# Add border to the image
#
# @param image The image to expand.
# @param border Border width, in pixels.
# @param fill Pixel fill value (a colour value). Default is 0 (black).
# @return An image.
def expand(image, border=0, fill=0): def expand(image, border=0, fill=0):
"""
Add border to the image
:param image: The image to expand.
:param border: Border width, in pixels.
:param fill: Pixel fill value (a color value). Default is 0 (black).
:return: An image.
"""
"Add border to image" "Add border to image"
left, top, right, bottom = _border(border) left, top, right, bottom = _border(border)
width = left + image.size[0] + right width = left + image.size[0] + right
@ -242,33 +236,32 @@ def expand(image, border=0, fill=0):
out.paste(image, (left, top)) out.paste(image, (left, top))
return out return out
##
# Returns a sized and cropped version of the image, cropped to the
# requested aspect ratio and size.
# <p>
# The <b>fit</b> function was contributed by Kevin Cazabon.
#
# @param size The requested output size in pixels, given as a
# (width, height) tuple.
# @param method What resampling method to use. Default is Image.NEAREST.
# @param bleed Remove a border around the outside of the image (from all
# four edges. The value is a decimal percentage (use 0.01 for one
# percent). The default value is 0 (no border).
# @param centering Control the cropping position. Use (0.5, 0.5) for
# center cropping (e.g. if cropping the width, take 50% off of the
# left side, and therefore 50% off the right side). (0.0, 0.0)
# will crop from the top left corner (i.e. if cropping the width,
# take all of the crop off of the right side, and if cropping the
# height, take all of it off the bottom). (1.0, 0.0) will crop
# from the bottom left corner, etc. (i.e. if cropping the width,
# take all of the crop off the left side, and if cropping the height
# take none from the top, and therefore all off the bottom).
# @return An image.
def fit(image, size, method=Image.NEAREST, bleed=0.0, centering=(0.5, 0.5)): def fit(image, size, method=Image.NEAREST, bleed=0.0, centering=(0.5, 0.5)):
""" """
This method returns a sized and cropped version of the image, Returns a sized and cropped version of the image, cropped to the
cropped to the aspect ratio and size that you request. requested aspect ratio and size.
This function was contributed by Kevin Cazabon.
:param size: The requested output size in pixels, given as a
(width, height) tuple.
:param method: What resampling method to use. Default is
:py:attr:`PIL.Image.NEAREST`.
:param bleed: Remove a border around the outside of the image (from all
four edges. The value is a decimal percentage (use 0.01 for
one percent). The default value is 0 (no border).
:param centering: Control the cropping position. Use (0.5, 0.5) for
center cropping (e.g. if cropping the width, take 50% off
of the left side, and therefore 50% off the right side).
(0.0, 0.0) will crop from the top left corner (i.e. if
cropping the width, take all of the crop off of the right
side, and if cropping the height, take all of it off the
bottom). (1.0, 0.0) will crop from the bottom left
corner, etc. (i.e. if cropping the width, take all of the
crop off the left side, and if cropping the height take
none from the top, and therefore all off the bottom).
:return: An image.
""" """
# by Kevin Cazabon, Feb 17/2000 # by Kevin Cazabon, Feb 17/2000
@ -336,73 +329,73 @@ def fit(image, size, method=Image.NEAREST, bleed=0.0, centering=(0.5, 0.5)):
# resize the image and return it # resize the image and return it
return out.resize(size, method) return out.resize(size, method)
##
# Flip the image vertically (top to bottom).
#
# @param image The image to flip.
# @return An image.
def flip(image): def flip(image):
"Flip image vertically" """
Flip the image vertically (top to bottom).
:param image: The image to flip.
:return: An image.
"""
return image.transpose(Image.FLIP_TOP_BOTTOM) return image.transpose(Image.FLIP_TOP_BOTTOM)
##
# Convert the image to grayscale.
#
# @param image The image to convert.
# @return An image.
def grayscale(image): def grayscale(image):
"Convert to grayscale" """
Convert the image to grayscale.
:param image: The image to convert.
:return: An image.
"""
return image.convert("L") return image.convert("L")
##
# Invert (negate) the image.
#
# @param image The image to invert.
# @return An image.
def invert(image): def invert(image):
"Invert image (negate)" """
Invert (negate) the image.
:param image: The image to invert.
:return: An image.
"""
lut = [] lut = []
for i in range(256): for i in range(256):
lut.append(255-i) lut.append(255-i)
return _lut(image, lut) return _lut(image, lut)
##
# Flip image horizontally (left to right).
#
# @param image The image to mirror.
# @return An image.
def mirror(image): def mirror(image):
"Flip image horizontally" """
Flip image horizontally (left to right).
:param image: The image to mirror.
:return: An image.
"""
return image.transpose(Image.FLIP_LEFT_RIGHT) return image.transpose(Image.FLIP_LEFT_RIGHT)
##
# Reduce the number of bits for each colour channel.
#
# @param image The image to posterize.
# @param bits The number of bits to keep for each channel (1-8).
# @return An image.
def posterize(image, bits): def posterize(image, bits):
"Reduce the number of bits per color channel" """
Reduce the number of bits for each color channel.
:param image: The image to posterize.
:param bits: The number of bits to keep for each channel (1-8).
:return: An image.
"""
lut = [] lut = []
mask = ~(2**(8-bits)-1) mask = ~(2**(8-bits)-1)
for i in range(256): for i in range(256):
lut.append(i & mask) lut.append(i & mask)
return _lut(image, lut) return _lut(image, lut)
##
# Invert all pixel values above a threshold.
#
# @param image The image to posterize.
# @param threshold All pixels above this greyscale level are inverted.
# @return An image.
def solarize(image, threshold=128): def solarize(image, threshold=128):
"Invert all values above threshold" """
Invert all pixel values above a threshold.
:param image: The image to posterize.
:param threshold: All pixels above this greyscale level are inverted.
:return: An image.
"""
lut = [] lut = []
for i in range(256): for i in range(256):
if i < threshold: if i < threshold:

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@ -1,8 +1,8 @@
.. py:module:: PIL.Image .. py:module:: PIL.Image
.. py:currentmodule:: PIL.Image .. py:currentmodule:: PIL.Image
:mod:`Image` Module :py:mod:`Image` Module
=================== ======================
The :py:mod:`~PIL.Image` module provides a class with the same name which is The :py:mod:`~PIL.Image` module provides a class with the same name which is
used to represent a PIL image. The module also provides a number of factory used to represent a PIL image. The module also provides a number of factory

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageChops .. py:module:: PIL.ImageChops
.. py:currentmodule:: PIL.ImageChops .. py:currentmodule:: PIL.ImageChops
:mod:`ImageChops` Module :py:mod:`ImageChops` Module
======================== ===========================
The :py:mod:`ImageChops` module contains a number of arithmetical image The :py:mod:`ImageChops` module contains a number of arithmetical image
operations, called channel operations (“chops”). These can be used for various operations, called channel operations (“chops”). These can be used for various

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageColor .. py:module:: PIL.ImageColor
.. py:currentmodule:: PIL.ImageColor .. py:currentmodule:: PIL.ImageColor
:mod:`ImageColor` Module :py:mod:`ImageColor` Module
======================== ===========================
The :py:mod:`ImageColor` module contains color tables and converters from The :py:mod:`ImageColor` module contains color tables and converters from
CSS3-style color specifiers to RGB tuples. This module is used by CSS3-style color specifiers to RGB tuples. This module is used by

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageDraw .. py:module:: PIL.ImageDraw
.. py:currentmodule:: PIL.ImageDraw .. py:currentmodule:: PIL.ImageDraw
:mod:`ImageDraw` Module :py:mod:`ImageDraw` Module
======================= ==========================
The :py:mod:`ImageDraw` module provide simple 2D graphics for The :py:mod:`ImageDraw` module provide simple 2D graphics for
:py:class:`~PIL.Image.Image` objects. You can use this module to create new :py:class:`~PIL.Image.Image` objects. You can use this module to create new

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageEnhance .. py:module:: PIL.ImageEnhance
.. py:currentmodule:: PIL.ImageEnhance .. py:currentmodule:: PIL.ImageEnhance
:mod:`ImageEnhance` Module :py:mod:`ImageEnhance` Module
========================== =============================
The :py:mod:`ImageEnhance` module contains a number of classes that can be used The :py:mod:`ImageEnhance` module contains a number of classes that can be used
for image enhancement. for image enhancement.

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageFile .. py:module:: PIL.ImageFile
.. py:currentmodule:: PIL.ImageFile .. py:currentmodule:: PIL.ImageFile
:mod:`ImageFile` Module :py:mod:`ImageFile` Module
======================= ==========================
The :py:mod:`ImageFile` module provides support functions for the image open The :py:mod:`ImageFile` module provides support functions for the image open
and save functions. and save functions.

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageFilter .. py:module:: PIL.ImageFilter
.. py:currentmodule:: PIL.ImageFilter .. py:currentmodule:: PIL.ImageFilter
:mod:`ImageFilter` Module :py:mod:`ImageFilter` Module
========================= ============================
The :py:mod:`ImageFilter` module contains definitions for a pre-defined set of The :py:mod:`ImageFilter` module contains definitions for a pre-defined set of
filters, which can be be used with the :py:meth:`Image.filter() filters, which can be be used with the :py:meth:`Image.filter()

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageFont .. py:module:: PIL.ImageFont
.. py:currentmodule:: PIL.ImageFont .. py:currentmodule:: PIL.ImageFont
:mod:`ImageFont` Module :py:mod:`ImageFont` Module
======================= ==========================
The :py:mod:`ImageFont` module defines a class with the same name. Instances of The :py:mod:`ImageFont` module defines a class with the same name. Instances of
this class store bitmap fonts, and are used with the this class store bitmap fonts, and are used with the

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageGrab .. py:module:: PIL.ImageGrab
.. py:currentmodule:: PIL.ImageGrab .. py:currentmodule:: PIL.ImageGrab
:mod:`ImageGrab` Module (Windows-only) :py:mod:`ImageGrab` Module (Windows-only)
====================================== =========================================
The :py:mod:`ImageGrab` module can be used to copy the contents of the screen The :py:mod:`ImageGrab` module can be used to copy the contents of the screen
or the clipboard to a PIL image memory. or the clipboard to a PIL image memory.

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@ -1,8 +1,8 @@
.. py:module:: PIL.ImageMath .. py:module:: PIL.ImageMath
.. py:currentmodule:: PIL.ImageMath .. py:currentmodule:: PIL.ImageMath
:mod:`ImageMath` Module :py:mod:`ImageMath` Module
======================= ==========================
The :py:mod:`ImageMath` module can be used to evaluate “image expressions”. The The :py:mod:`ImageMath` module can be used to evaluate “image expressions”. The
module provides a single eval function, which takes an expression string and module provides a single eval function, which takes an expression string and

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@ -0,0 +1,27 @@
.. py:module:: PIL.ImageOps
.. py:currentmodule:: PIL.ImageOps
:py:mod:`ImageOps` Module
==========================
The :py:mod:`ImageOps` module contains a number of ready-made image
processing operations. This module is somewhat experimental, and most operators
only work on L and RGB images.
Only bug fixes have been added since the Pillow fork.
.. versionadded:: 1.1.3
.. autofunction:: autocontrast
.. autofunction:: colorize
.. autofunction:: crop
.. autofunction:: deform
.. autofunction:: equalize
.. autofunction:: expand
.. autofunction:: fit
.. autofunction:: flip
.. autofunction:: grayscale
.. autofunction:: invert
.. autofunction:: mirror
.. autofunction:: posterize
.. autofunction:: solarize

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@ -14,4 +14,5 @@ Reference
ImageFont ImageFont
ImageGrab ImageGrab
ImageMath ImageMath
ImageOps
../PIL ../PIL