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Fix some docstrings

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Sandro Mani 2013-04-12 21:53:17 +02:00
parent 3d636b66ff
commit 194370d89b
3 changed files with 331 additions and 386 deletions
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664
PIL/ImageCms.py
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@ -202,7 +202,7 @@ class ImageCmsTransform(Image.ImagePointHandler):
##
# (experimental) Fetches the profile for the current display device.
# Returns None if the profile is not known.
# @return None if the profile is not known.
def get_display_profile(handle=None):
import sys
@ -234,59 +234,50 @@ class PyCMSError(Exception):
##
# (pyCMS) Applies an ICC transformation to a given image, mapping from
# inputProfile to outputProfile.
#
# If the input or output profiles specified are not valid filenames, a
# PyCMSError will be raised. If inPlace == TRUE and outputMode != im.mode,
# a PyCMSError will be raised. If an error occurs during application of
# the profiles, a PyCMSError will be raised. If outputMode is not a mode
# supported by the outputProfile (or by pyCMS), a PyCMSError will be
# raised.
#
# This function applies an ICC transformation to im from inputProfile's
# color space to outputProfile's color space using the specified rendering
# intent to decide how to handle out-of-gamut colors.
#
# OutputMode can be used to specify that a color mode conversion is to
# be done using these profiles, but the specified profiles must be able
# to handle that mode. I.e., if converting im from RGB to CMYK using
# profiles, the input profile must handle RGB data, and the output
# profile must handle CMYK data.
#
# @param im An open PIL image object (i.e. Image.new(...) or Image.open(...), etc.)
# @param inputProfile String, as a valid filename path to the ICC input profile
# you wish to use for this image, or a profile object
# @param outputProfile String, as a valid filename path to the ICC output
# profile you wish to use for this image, or a profile object
# @param renderingIntent Integer (0-3) specifying the rendering intent you wish
# to use for the transform
#
# INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
# INTENT_RELATIVE_COLORIMETRIC = 1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
# INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
# INTENT_ABSOLUTE_COLORIMETRIC = 3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
#
# see the pyCMS documentation for details on rendering intents and what they do.
# @param outputMode A valid PIL mode for the output image (i.e. "RGB", "CMYK",
# etc.). Note: if rendering the image "inPlace", outputMode MUST be the
# same mode as the input, or omitted completely. If omitted, the outputMode
# will be the same as the mode of the input image (im.mode)
# @param inPlace Boolean (1 = True, None or 0 = False). If True, the original
# image is modified in-place, and None is returned. If False (default), a
# new Image object is returned with the transform applied.
# @param flags Integer (0-...) specifying additional flags
# @return Either None or a new PIL image object, depending on value of inPlace
# @exception PyCMSError
def profileToProfile(im, inputProfile, outputProfile, renderingIntent=INTENT_PERCEPTUAL, outputMode=None, inPlace=0, flags=0):
"""
ImageCms.profileToProfile(im, inputProfile, outputProfile,
[renderingIntent], [outputMode], [inPlace])
Returns either None or a new PIL image object, depending on value of
inPlace (see below).
im = an open PIL image object (i.e. Image.new(...) or
Image.open(...), etc.)
inputProfile = string, as a valid filename path to the ICC input
profile you wish to use for this image, or a profile object
outputProfile = string, as a valid filename path to the ICC output
profile you wish to use for this image, or a profile object
renderingIntent = integer (0-3) specifying the rendering intent you
wish to use for the transform
INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
INTENT_RELATIVE_COLORIMETRIC =1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
INTENT_ABSOLUTE_COLORIMETRIC =3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
see the pyCMS documentation for details on rendering intents and
what they do.
outputMode = a valid PIL mode for the output image (i.e. "RGB", "CMYK",
etc.). Note: if rendering the image "inPlace", outputMode MUST be
the same mode as the input, or omitted completely. If omitted, the
outputMode will be the same as the mode of the input image (im.mode)
inPlace = BOOL (1 = TRUE, None or 0 = FALSE). If TRUE, the original
image is modified in-place, and None is returned. If FALSE
(default), a new Image object is returned with the transform
applied.
flags = integer (0-...) specifying additional flags
If the input or output profiles specified are not valid filenames, a
PyCMSError will be raised. If inPlace == TRUE and outputMode != im.mode,
a PyCMSError will be raised. If an error occurs during application of
the profiles, a PyCMSError will be raised. If outputMode is not a mode
supported by the outputProfile (or by pyCMS), a PyCMSError will be
raised.
This function applies an ICC transformation to im from inputProfile's
color space to outputProfile's color space using the specified rendering
intent to decide how to handle out-of-gamut colors.
OutputMode can be used to specify that a color mode conversion is to
be done using these profiles, but the specified profiles must be able
to handle that mode. I.e., if converting im from RGB to CMYK using
profiles, the input profile must handle RGB data, and the output
profile must handle CMYK data.
"""
if outputMode is None:
outputMode = im.mode
@ -316,24 +307,19 @@ def profileToProfile(im, inputProfile, outputProfile, renderingIntent=INTENT_PER
##
# (pyCMS) Opens an ICC profile file.
#
# The PyCMSProfile object can be passed back into pyCMS for use in creating
# transforms and such (as in ImageCms.buildTransformFromOpenProfiles()).
#
# If profileFilename is not a vaild filename for an ICC profile, a PyCMSError
# will be raised.
#
# @param profileFilename String, as a valid filename path to the ICC profile you
# wish to open, or a file-like object.
# @return A CmsProfile class object.
# @exception PyCMSError
def getOpenProfile(profileFilename):
"""
ImageCms.getOpenProfile(profileFilename)
Returns a CmsProfile class object.
profileFilename = string, as a valid filename path to the ICC profile
you wish to open, or a file-like object.
The PyCMSProfile object can be passed back into pyCMS for use in creating
transforms and such (as in ImageCms.buildTransformFromOpenProfiles()).
If profileFilename is not a vaild filename for an ICC profile, a
PyCMSError will be raised.
"""
try:
return ImageCmsProfile(profileFilename)
except (IOError, TypeError, ValueError) as v:
@ -343,61 +329,56 @@ def getOpenProfile(profileFilename):
# (pyCMS) Builds an ICC transform mapping from the inputProfile to the
# outputProfile. Use applyTransform to apply the transform to a given
# image.
#
# If the input or output profiles specified are not valid filenames, a
# PyCMSError will be raised. If an error occurs during creation of the
# transform, a PyCMSError will be raised.
#
# If inMode or outMode are not a mode supported by the outputProfile (or
# by pyCMS), a PyCMSError will be raised.
#
# This function builds and returns an ICC transform from the inputProfile
# to the outputProfile using the renderingIntent to determine what to do
# with out-of-gamut colors. It will ONLY work for converting images that
# are in inMode to images that are in outMode color format (PIL mode,
# i.e. "RGB", "RGBA", "CMYK", etc.).
#
# Building the transform is a fair part of the overhead in
# ImageCms.profileToProfile(), so if you're planning on converting multiple
# images using the same input/output settings, this can save you time.
# Once you have a transform object, it can be used with
# ImageCms.applyProfile() to convert images without the need to re-compute
# the lookup table for the transform.
#
# The reason pyCMS returns a class object rather than a handle directly
# to the transform is that it needs to keep track of the PIL input/output
# modes that the transform is meant for. These attributes are stored in
# the "inMode" and "outMode" attributes of the object (which can be
# manually overridden if you really want to, but I don't know of any
# time that would be of use, or would even work).
#
# @param inputProfile String, as a valid filename path to the ICC input profile
# you wish to use for this transform, or a profile object
# @param outputProfile String, as a valid filename path to the ICC output
# profile you wish to use for this transform, or a profile object
# @param inMode String, as a valid PIL mode that the appropriate profile also
# supports (i.e. "RGB", "RGBA", "CMYK", etc.)
# @param outMode String, as a valid PIL mode that the appropriate profile also
# supports (i.e. "RGB", "RGBA", "CMYK", etc.)
# @param renderingIntent Integer (0-3) specifying the rendering intent you
# wish to use for the transform
#
# INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
# INTENT_RELATIVE_COLORIMETRIC = 1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
# INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
# INTENT_ABSOLUTE_COLORIMETRIC = 3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
#
# see the pyCMS documentation for details on rendering intents and what they do.
# @param flags Integer (0-...) specifying additional flags
# @return A CmsTransform class object.
# @exception PyCMSError
def buildTransform(inputProfile, outputProfile, inMode, outMode, renderingIntent=INTENT_PERCEPTUAL, flags=0):
"""
ImageCms.buildTransform(inputProfile, outputProfile, inMode, outMode,
[renderingIntent])
Returns a CmsTransform class object.
inputProfile = string, as a valid filename path to the ICC input
profile you wish to use for this transform, or a profile object
outputProfile = string, as a valid filename path to the ICC output
profile you wish to use for this transform, or a profile object
inMode = string, as a valid PIL mode that the appropriate profile also
supports (i.e. "RGB", "RGBA", "CMYK", etc.)
outMode = string, as a valid PIL mode that the appropriate profile also
supports (i.e. "RGB", "RGBA", "CMYK", etc.)
renderingIntent = integer (0-3) specifying the rendering intent you
wish to use for the transform
INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
INTENT_RELATIVE_COLORIMETRIC =1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
INTENT_ABSOLUTE_COLORIMETRIC =3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
see the pyCMS documentation for details on rendering intents and
what they do.
flags = integer (0-...) specifying additional flags
If the input or output profiles specified are not valid filenames, a
PyCMSError will be raised. If an error occurs during creation of the
transform, a PyCMSError will be raised.
If inMode or outMode are not a mode supported by the outputProfile (or
by pyCMS), a PyCMSError will be raised.
This function builds and returns an ICC transform from the inputProfile
to the outputProfile using the renderingIntent to determine what to do
with out-of-gamut colors. It will ONLY work for converting images that
are in inMode to images that are in outMode color format (PIL mode,
i.e. "RGB", "RGBA", "CMYK", etc.).
Building the transform is a fair part of the overhead in
ImageCms.profileToProfile(), so if you're planning on converting multiple
images using the same input/output settings, this can save you time.
Once you have a transform object, it can be used with
ImageCms.applyProfile() to convert images without the need to re-compute
the lookup table for the transform.
The reason pyCMS returns a class object rather than a handle directly
to the transform is that it needs to keep track of the PIL input/output
modes that the transform is meant for. These attributes are stored in
the "inMode" and "outMode" attributes of the object (which can be
manually overridden if you really want to, but I don't know of any
time that would be of use, or would even work).
"""
if not isinstance(renderingIntent, int) or not (0 <= renderingIntent <=3):
raise PyCMSError("renderingIntent must be an integer between 0 and 3")
@ -417,78 +398,74 @@ def buildTransform(inputProfile, outputProfile, inMode, outMode, renderingIntent
# (pyCMS) Builds an ICC transform mapping from the inputProfile to the
# outputProfile, but tries to simulate the result that would be
# obtained on the proofProfile device.
#
# If the input, output, or proof profiles specified are not valid
# filenames, a PyCMSError will be raised.
#
# If an error occurs during creation of the transform, a PyCMSError will
# be raised.
#
# If inMode or outMode are not a mode supported by the outputProfile
# (or by pyCMS), a PyCMSError will be raised.
#
# This function builds and returns an ICC transform from the inputProfile
# to the outputProfile, but tries to simulate the result that would be
# obtained on the proofProfile device using renderingIntent and
# proofRenderingIntent to determine what to do with out-of-gamut
# colors. This is known as "soft-proofing". It will ONLY work for
# converting images that are in inMode to images that are in outMode
# color format (PIL mode, i.e. "RGB", "RGBA", "CMYK", etc.).
#
# Usage of the resulting transform object is exactly the same as with
# ImageCms.buildTransform().
#
# Proof profiling is generally used when using an output device to get a
# good idea of what the final printed/displayed image would look like on
# the proofProfile device when it's quicker and easier to use the
# output device for judging color. Generally, this means that the
# output device is a monitor, or a dye-sub printer (etc.), and the simulated
# device is something more expensive, complicated, or time consuming
# (making it difficult to make a real print for color judgement purposes).
#
# Soft-proofing basically functions by adjusting the colors on the
# output device to match the colors of the device being simulated. However,
# when the simulated device has a much wider gamut than the output
# device, you may obtain marginal results.
#
# @param inputProfile String, as a valid filename path to the ICC input profile
# you wish to use for this transform, or a profile object
# @param outputProfile String, as a valid filename path to the ICC output
# (monitor, usually) profile you wish to use for this transform, or a
# profile object
# @param proofProfile String, as a valid filename path to the ICC proof profile
# you wish to use for this transform, or a profile object
# @param inMode String, as a valid PIL mode that the appropriate profile also
# supports (i.e. "RGB", "RGBA", "CMYK", etc.)
# @param outMode String, as a valid PIL mode that the appropriate profile also
# supports (i.e. "RGB", "RGBA", "CMYK", etc.)
# @param renderingIntent Integer (0-3) specifying the rendering intent you
# wish to use for the input->proof (simulated) transform
#
# INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
# INTENT_RELATIVE_COLORIMETRIC = 1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
# INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
# INTENT_ABSOLUTE_COLORIMETRIC = 3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
#
# see the pyCMS documentation for details on rendering intents and what they do.
# @param proofRenderingIntent Integer (0-3) specifying the rendering intent you
# wish to use for proof->output transform
#
# INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
# INTENT_RELATIVE_COLORIMETRIC = 1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
# INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
# INTENT_ABSOLUTE_COLORIMETRIC = 3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
#
# see the pyCMS documentation for details on rendering intents and what they do.
# @param flags Integer (0-...) specifying additional flags
# @return A CmsTransform class object.
# @exception PyCMSError
def buildProofTransform(inputProfile, outputProfile, proofProfile, inMode, outMode, renderingIntent=INTENT_PERCEPTUAL, proofRenderingIntent=INTENT_ABSOLUTE_COLORIMETRIC, flags=FLAGS["SOFTPROOFING"]):
"""
ImageCms.buildProofTransform(inputProfile, outputProfile, proofProfile,
inMode, outMode, [renderingIntent], [proofRenderingIntent])
Returns a CmsTransform class object.
inputProfile = string, as a valid filename path to the ICC input
profile you wish to use for this transform, or a profile object
outputProfile = string, as a valid filename path to the ICC output
(monitor, usually) profile you wish to use for this transform,
or a profile object
proofProfile = string, as a valid filename path to the ICC proof
profile you wish to use for this transform, or a profile object
inMode = string, as a valid PIL mode that the appropriate profile also
supports (i.e. "RGB", "RGBA", "CMYK", etc.)
outMode = string, as a valid PIL mode that the appropriate profile also
supports (i.e. "RGB", "RGBA", "CMYK", etc.)
renderingIntent = integer (0-3) specifying the rendering intent you
wish to use for the input->proof (simulated) transform
INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
INTENT_RELATIVE_COLORIMETRIC =1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
INTENT_ABSOLUTE_COLORIMETRIC =3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
see the pyCMS documentation for details on rendering intents and
what they do.
proofRenderingIntent = integer (0-3) specifying the rendering intent
you wish to use for proof->output transform
INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
INTENT_RELATIVE_COLORIMETRIC =1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
INTENT_ABSOLUTE_COLORIMETRIC =3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
see the pyCMS documentation for details on rendering intents and
what they do.
flags = integer (0-...) specifying additional flags
If the input, output, or proof profiles specified are not valid
filenames, a PyCMSError will be raised.
If an error occurs during creation of the transform, a PyCMSError will
be raised.
If inMode or outMode are not a mode supported by the outputProfile
(or by pyCMS), a PyCMSError will be raised.
This function builds and returns an ICC transform from the inputProfile
to the outputProfile, but tries to simulate the result that would be
obtained on the proofProfile device using renderingIntent and
proofRenderingIntent to determine what to do with out-of-gamut
colors. This is known as "soft-proofing". It will ONLY work for
converting images that are in inMode to images that are in outMode
color format (PIL mode, i.e. "RGB", "RGBA", "CMYK", etc.).
Usage of the resulting transform object is exactly the same as with
ImageCms.buildTransform().
Proof profiling is generally used when using an output device to get a
good idea of what the final printed/displayed image would look like on
the proofProfile device when it's quicker and easier to use the
output device for judging color. Generally, this means that the
output device is a monitor, or a dye-sub printer (etc.), and the simulated
device is something more expensive, complicated, or time consuming
(making it difficult to make a real print for color judgement purposes).
Soft-proofing basically functions by adjusting the colors on the
output device to match the colors of the device being simulated. However,
when the simulated device has a much wider gamut than the output
device, you may obtain marginal results.
"""
if not isinstance(renderingIntent, int) or not (0 <= renderingIntent <=3):
raise PyCMSError("renderingIntent must be an integer between 0 and 3")
@ -511,48 +488,41 @@ buildProofTransformFromOpenProfiles = buildProofTransform
##
# (pyCMS) Applies a transform to a given image.
#
# If im.mode != transform.inMode, a PyCMSError is raised.
#
# If inPlace == TRUE and transform.inMode != transform.outMode, a
# PyCMSError is raised.
#
# If im.mode, transfer.inMode, or transfer.outMode is not supported by
# pyCMSdll or the profiles you used for the transform, a PyCMSError is
# raised.
#
# If an error occurs while the transform is being applied, a PyCMSError
# is raised.
#
# This function applies a pre-calculated transform (from
# ImageCms.buildTransform() or ImageCms.buildTransformFromOpenProfiles()) to an
# image. The transform can be used for multiple images, saving
# considerable calcuation time if doing the same conversion multiple times.
#
# If you want to modify im in-place instead of receiving a new image as
# the return value, set inPlace to TRUE. This can only be done if
# transform.inMode and transform.outMode are the same, because we can't
# change the mode in-place (the buffer sizes for some modes are
# different). The default behavior is to return a new Image object of
# the same dimensions in mode transform.outMode.
#
# @param im A PIL Image object, and im.mode must be the same as the inMode
# supported by the transform.
# @param transform A valid CmsTransform class object
# @param inPlace Bool (1 == True, 0 or None == False). If True, im is modified
# in place and None is returned, if False, a new Image object with the
# transform applied is returned (and im is not changed). The default is False.
# @return Either None, or a new PIL Image object, depending on the value of inPlace
# @exception PyCMSError
def applyTransform(im, transform, inPlace=0):
"""
ImageCms.applyTransform(im, transform, [inPlace])
Returns either None, or a new PIL Image object, depending on the value
of inPlace (see below)
im = a PIL Image object, and im.mode must be the same as the inMode
supported by the transform.
transform = a valid CmsTransform class object
inPlace = BOOL (1 == TRUE, 0 or None == FALSE). If TRUE, im is
modified in place and None is returned, if FALSE, a new Image
object with the transform applied is returned (and im is not
changed). The default is FALSE.
If im.mode != transform.inMode, a PyCMSError is raised.
If inPlace == TRUE and transform.inMode != transform.outMode, a
PyCMSError is raised.
If im.mode, transfer.inMode, or transfer.outMode is not supported by
pyCMSdll or the profiles you used for the transform, a PyCMSError is
raised.
If an error occurs while the transform is being applied, a PyCMSError
is raised.
This function applies a pre-calculated transform (from
ImageCms.buildTransform() or ImageCms.buildTransformFromOpenProfiles()) to an
image. The transform can be used for multiple images, saving
considerable calcuation time if doing the same conversion multiple times.
If you want to modify im in-place instead of receiving a new image as
the return value, set inPlace to TRUE. This can only be done if
transform.inMode and transform.outMode are the same, because we can't
change the mode in-place (the buffer sizes for some modes are
different). The default behavior is to return a new Image object of
the same dimensions in mode transform.outMode.
"""
try:
if inPlace:
transform.apply_in_place(im)
@ -566,33 +536,29 @@ def applyTransform(im, transform, inPlace=0):
##
# (pyCMS) Creates a profile.
#
# If colorSpace not in ["LAB", "XYZ", "sRGB"], a PyCMSError is raised
#
# If using LAB and colorTemp != a positive integer, a PyCMSError is raised.
#
# If an error occurs while creating the profile, a PyCMSError is raised.
#
# Use this function to create common profiles on-the-fly instead of
# having to supply a profile on disk and knowing the path to it. It
# returns a normal CmsProfile object that can be passed to
# ImageCms.buildTransformFromOpenProfiles() to create a transform to apply
# to images.
#
# @param colorSpace String, the color space of the profile you wish to create.
# Currently only "LAB", "XYZ", and "sRGB" are supported.
# @param colorTemp Positive integer for the white point for the profile, in
# degrees Kelvin (i.e. 5000, 6500, 9600, etc.). The default is for D50
# illuminant if omitted (5000k). colorTemp is ONLY applied to LAB profiles,
# and is ignored for XYZ and sRGB.
# @return A CmsProfile class object
# @exception PyCMSError
def createProfile(colorSpace, colorTemp=-1):
"""
ImageCms.createProfile(colorSpace, [colorTemp])
Returns a CmsProfile class object
colorSpace = string, the color space of the profile you wish to create.
Currently only "LAB", "XYZ", and "sRGB" are supported.
colorTemp = positive integer for the white point for the profile, in
degrees Kelvin (i.e. 5000, 6500, 9600, etc.). The default is for
D50 illuminant if omitted (5000k). colorTemp is ONLY applied to
LAB profiles, and is ignored for XYZ and sRGB.
If colorSpace not in ["LAB", "XYZ", "sRGB"], a PyCMSError is raised
If using LAB and colorTemp != a positive integer, a PyCMSError is raised.
If an error occurs while creating the profile, a PyCMSError is raised.
Use this function to create common profiles on-the-fly instead of
having to supply a profile on disk and knowing the path to it. It
returns a normal CmsProfile object that can be passed to
ImageCms.buildTransformFromOpenProfiles() to create a transform to apply
to images.
"""
if colorSpace not in ["LAB", "XYZ", "sRGB"]:
raise PyCMSError("Color space not supported for on-the-fly profile creation (%s)" % colorSpace)
@ -609,27 +575,23 @@ def createProfile(colorSpace, colorTemp=-1):
##
# (pyCMS) Gets the internal product name for the given profile.
#
# If profile isn't a valid CmsProfile object or filename to a profile,
# a PyCMSError is raised If an error occurs while trying to obtain the
# name tag, a PyCMSError is raised.
#
# Use this function to obtain the INTERNAL name of the profile (stored
# in an ICC tag in the profile itself), usually the one used when the
# profile was originally created. Sometimes this tag also contains
# additional information supplied by the creator.
#
# @param profile EITHER a valid CmsProfile object, OR a string of the filename
# of an ICC profile.
# @return A string containing the internal name of the profile as stored in an
# ICC tag.
# @exception PyCMSError
def getProfileName(profile):
"""
ImageCms.getProfileName(profile)
Returns a string containing the internal name of the profile as stored
in an ICC tag.
profile = EITHER a valid CmsProfile object, OR a string of the
filename of an ICC profile.
If profile isn't a valid CmsProfile object or filename to a profile,
a PyCMSError is raised If an error occurs while trying to obtain the
name tag, a PyCMSError is raised.
Use this function to obtain the INTERNAL name of the profile (stored
in an ICC tag in the profile itself), usually the one used when the
profile was originally created. Sometimes this tag also contains
additional information supplied by the creator.
"""
try:
# add an extra newline to preserve pyCMS compatibility
if not isinstance(profile, ImageCmsProfile):
@ -640,28 +602,24 @@ def getProfileName(profile):
##
# (pyCMS) Gets the internal product information for the given profile.
#
# If profile isn't a valid CmsProfile object or filename to a profile,
# a PyCMSError is raised.
#
# If an error occurs while trying to obtain the info tag, a PyCMSError
# is raised
#
# Use this function to obtain the information stored in the profile's
# info tag. This often contains details about the profile, and how it
# was created, as supplied by the creator.
#
# @param profile EITHER a valid CmsProfile object, OR a string of the filename
# of an ICC profile.
# @return A string containing the internal profile information stored in an ICC
# tag.
# @exception PyCMSError
def getProfileInfo(profile):
"""
ImageCms.getProfileInfo(profile)
Returns a string containing the internal profile information stored in
an ICC tag.
profile = EITHER a valid CmsProfile object, OR a string of the
filename of an ICC profile.
If profile isn't a valid CmsProfile object or filename to a profile,
a PyCMSError is raised.
If an error occurs while trying to obtain the info tag, a PyCMSError
is raised
Use this function to obtain the information stored in the profile's
info tag. This often contains details about the profile, and how it
was created, as supplied by the creator.
"""
try:
if not isinstance(profile, ImageCmsProfile):
profile = ImageCmsProfile(profile)
@ -672,35 +630,32 @@ def getProfileInfo(profile):
##
# (pyCMS) Gets the default intent name for the given profile.
#
# If profile isn't a valid CmsProfile object or filename to a profile,
# a PyCMSError is raised.
#
# If an error occurs while trying to obtain the default intent, a
# PyCMSError is raised.
#
# Use this function to determine the default (and usually best optomized)
# rendering intent for this profile. Most profiles support multiple
# rendering intents, but are intended mostly for one type of conversion.
# If you wish to use a different intent than returned, use
# ImageCms.isIntentSupported() to verify it will work first.
#
# @param profile EITHER a valid CmsProfile object, OR a string of the filename
# of an ICC profile.
# @return Integer 0-3 specifying the default rendering intent for this profile.
#
# INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
# INTENT_RELATIVE_COLORIMETRIC = 1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
# INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
# INTENT_ABSOLUTE_COLORIMETRIC = 3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
#
# see the pyCMS documentation for details on rendering intents and what they do.
# @exception PyCMSError
def getDefaultIntent(profile):
"""
ImageCms.getDefaultIntent(profile)
Returns integer 0-3 specifying the default rendering intent for this
profile.
INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
INTENT_RELATIVE_COLORIMETRIC =1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
INTENT_ABSOLUTE_COLORIMETRIC =3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
see the pyCMS documentation for details on rendering intents and
what they do.
profile = EITHER a valid CmsProfile object, OR a string of the
filename of an ICC profile.
If profile isn't a valid CmsProfile object or filename to a profile,
a PyCMSError is raised.
If an error occurs while trying to obtain the default intent, a
PyCMSError is raised.
Use this function to determine the default (and usually best optomized)
rendering intent for this profile. Most profiles support multiple
rendering intents, but are intended mostly for one type of conversion.
If you wish to use a different intent than returned, use
ImageCms.isIntentSupported() to verify it will work first.
"""
try:
if not isinstance(profile, ImageCmsProfile):
profile = ImageCmsProfile(profile)
@ -710,41 +665,40 @@ def getDefaultIntent(profile):
##
# (pyCMS) Checks if a given intent is supported.
#
# Use this function to verify that you can use your desired
# renderingIntent with profile, and that profile can be used for the
# input/output/proof profile as you desire.
#
# Some profiles are created specifically for one "direction", can cannot
# be used for others. Some profiles can only be used for certain
# rendering intents... so it's best to either verify this before trying
# to create a transform with them (using this function), or catch the
# potential PyCMSError that will occur if they don't support the modes
# you select.
#
# @param profile EITHER a valid CmsProfile object, OR a string of the filename
# of an ICC profile.
# @param intent Integer (0-3) specifying the rendering intent you wish to use
# with this profile
#
# INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
# INTENT_RELATIVE_COLORIMETRIC = 1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
# INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
# INTENT_ABSOLUTE_COLORIMETRIC = 3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
#
# see the pyCMS documentation for details on rendering intents and what they do.
# @param direction Integer specifing if the profile is to be used for input,
# output, or proof
#
# INPUT = 0 (or use ImageCms.DIRECTION_INPUT)
# OUTPUT = 1 (or use ImageCms.DIRECTION_OUTPUT)
# PROOF = 2 (or use ImageCms.DIRECTION_PROOF)
#
# @return 1 if the intent/direction are supported, -1 if they are not.
# @exception PyCMSError
def isIntentSupported(profile, intent, direction):
"""
ImageCms.isIntentSupported(profile, intent, direction)
Returns 1 if the intent/direction are supported, -1 if they are not.
profile = EITHER a valid CmsProfile object, OR a string of the
filename of an ICC profile.
intent = integer (0-3) specifying the rendering intent you wish to use
with this profile
INTENT_PERCEPTUAL = 0 (DEFAULT) (ImageCms.INTENT_PERCEPTUAL)
INTENT_RELATIVE_COLORIMETRIC =1 (ImageCms.INTENT_RELATIVE_COLORIMETRIC)
INTENT_SATURATION = 2 (ImageCms.INTENT_SATURATION)
INTENT_ABSOLUTE_COLORIMETRIC =3 (ImageCms.INTENT_ABSOLUTE_COLORIMETRIC)
see the pyCMS documentation for details on rendering intents and
what they do.
direction = integer specifing if the profile is to be used for input,
output, or proof
INPUT = 0 (or use ImageCms.DIRECTION_INPUT)
OUTPUT = 1 (or use ImageCms.DIRECTION_OUTPUT)
PROOF = 2 (or use ImageCms.DIRECTION_PROOF)
Use this function to verify that you can use your desired
renderingIntent with profile, and that profile can be used for the
input/output/proof profile as you desire.
Some profiles are created specifically for one "direction", can cannot
be used for others. Some profiles can only be used for certain
rendering intents... so it's best to either verify this before trying
to create a transform with them (using this function), or catch the
potential PyCMSError that will occur if they don't support the modes
you select.
"""
try:
if not isinstance(profile, ImageCmsProfile):
profile = ImageCmsProfile(profile)

51
PIL/JpegPresets.py
View File

@ -5,21 +5,21 @@ More presets can be added to the presets dict if needed.
Can be use when saving JPEG file.
To apply the preset, specify:
To apply the preset, specify::
- quality=preset name
To apply only the quantization table:
quality="preset_name"
- qtables=preset name
To apply only the quantization table::
To apply only the subsampling setting:
qtables="preset_name"
- subsampling=preset name
To apply only the subsampling setting::
Example:
subsampling="preset_name"
im.save("image_name.jpg", quality="web_high")
Example::
im.save("image_name.jpg", quality="web_high")
Subsampling
@ -28,7 +28,7 @@ Subsampling
Subsampling is the practice of encoding images by implementing less resolution
for chroma information than for luma information.
(ref.: http://en.wikipedia.org/wiki/Chroma_subsampling)
Possible subsampling values are 0, 1 and 2 that correspond to 4:4:4, 4:2:2 and
4:1:1 (or 4:2:0?).
@ -42,25 +42,23 @@ Quantization tables
They are values use by the DCT (Discrete cosine transform) to remove
*unnecessary* information from the image (the lossy part of the compression).
(ref.: http://en.wikipedia.org/wiki/Quantization_matrix#Quantization_matrices,
http://en.wikipedia.org/wiki/JPEG#Quantization)
http://en.wikipedia.org/wiki/JPEG#Quantization)
You can get the quantization tables of a JPEG with:
You can get the quantization tables of a JPEG with::
im.quantization
im.quantization
This will return a dict with a number of arrays. You can pass this dict directly
as the qtables argument when saving a JPEG.
The tables format between im.quantization and quantization in presets differ in
3 ways:
1. The base container of the preset is a list with sublists instead of dict.
dict[0] -> list[0], dict[1] -> list[1], ...
2. Each table in a preset is a list instead of an array.
3. The zigzag order is remove in the preset (needed by libjpeg >= 6a).
1. The base container of the preset is a list with sublists instead of dict.
dict[0] -> list[0], dict[1] -> list[1], ...
2. Each table in a preset is a list instead of an array.
3. The zigzag order is remove in the preset (needed by libjpeg >= 6a).
You can convert the dict format to the preset format with the
`JpegImagePlugin.convert_dict_qtables(dict_qtables)` function.
@ -68,7 +66,7 @@ Libjpeg ref.: http://www.jpegcameras.com/libjpeg/libjpeg-3.html
"""
presets = {
presets = {
'web_low': {'subsampling': 2, # "4:1:1"
'quantization': [
[20, 16, 25, 39, 50, 46, 62, 68,
@ -88,7 +86,6 @@ presets = {
68, 68, 68, 68, 68, 68, 68, 68,
68, 68, 68, 68, 68, 68, 68, 68]
]},
'web_medium': {'subsampling': 2, # "4:1:1"
'quantization': [
[16, 11, 11, 16, 23, 27, 31, 30,
@ -108,7 +105,6 @@ presets = {
38, 35, 46, 53, 64, 64, 64, 64,
48, 43, 53, 64, 64, 64, 64, 64]
]},
'web_high': {'subsampling': 0, # "4:4:4"
'quantization': [
[ 6, 4, 4, 6, 9, 11, 12, 16,
@ -128,7 +124,6 @@ presets = {
31, 31, 31, 31, 31, 31, 31, 31,
31, 31, 31, 31, 31, 31, 31, 31]
]},
'web_very_high': {'subsampling': 0, # "4:4:4"
'quantization': [
[ 2, 2, 2, 2, 3, 4, 5, 6,
@ -148,7 +143,6 @@ presets = {
15, 12, 12, 12, 12, 12, 12, 12,
15, 12, 12, 12, 12, 12, 12, 12]
]},
'web_maximum': {'subsampling': 0, # "4:4:4"
'quantization': [
[ 1, 1, 1, 1, 1, 1, 1, 1,
@ -168,7 +162,6 @@ presets = {
3, 3, 3, 3, 3, 3, 3, 3,
3, 3, 3, 3, 3, 3, 3, 3]
]},
'low': {'subsampling': 2, # "4:1:1"
'quantization': [
[18, 14, 14, 21, 30, 35, 34, 17,
@ -207,7 +200,6 @@ presets = {
17, 12, 12, 12, 12, 12, 12, 12,
17, 12, 12, 12, 12, 12, 12, 12]
]},
'high': {'subsampling': 0, # "4:4:4"
'quantization': [
[ 6, 4, 4, 6, 9, 11, 12, 16,
@ -227,7 +219,6 @@ presets = {
17, 12, 12, 12, 12, 12, 12, 12,
17, 12, 12, 12, 12, 12, 12, 12]
]},
'maximum': {'subsampling': 0, # "4:4:4"
'quantization': [
[ 2, 2, 2, 2, 3, 4, 5, 6,
@ -247,4 +238,4 @@ presets = {
15, 12, 12, 12, 12, 12, 12, 12,
15, 12, 12, 12, 12, 12, 12, 12]
]},
}
}

2
PIL/OleFileIO.py
View File

@ -239,7 +239,7 @@ class OleFileIO:
Object names are given as a list of strings, one for each subentry
level. The root entry should be omitted. For example, the following
code extracts all image streams from a Microsoft Image Composer file:
code extracts all image streams from a Microsoft Image Composer file::
ole = OleFileIO("fan.mic")