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faa settings for vm

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{
"python.pythonPath": "C:\\Users\\User\\Anaconda3\\python.exe"
}
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Copyright 2007, 2008 The Python Markdown Project (v. 1.7 and later)
Copyright 2004, 2005, 2006 Yuri Takhteyev (v. 0.2-1.6b)
Copyright 2004 Manfred Stienstra (the original version)
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Python Markdown Project nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE PYTHON MARKDOWN PROJECT ''AS IS'' AND ANY
EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL ANY CONTRIBUTORS TO THE PYTHON MARKDOWN PROJECT
BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
Metadata-Version: 2.1
Name: Markdown
Version: 3.2.1
Summary: Python implementation of Markdown.
Home-page: https://Python-Markdown.github.io/
Author: Manfred Stienstra, Yuri takhteyev and Waylan limberg
Author-email: waylan.limberg@icloud.com
Maintainer: Waylan Limberg
Maintainer-email: waylan.limberg@icloud.com
License: BSD License
Download-URL: http://pypi.python.org/packages/source/M/Markdown/Markdown-3.2.1-py2.py3-none-any.whl
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Communications :: Email :: Filters
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content :: CGI Tools/Libraries
Classifier: Topic :: Internet :: WWW/HTTP :: Site Management
Classifier: Topic :: Software Development :: Documentation
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Filters
Classifier: Topic :: Text Processing :: Markup :: HTML
Requires-Python: >=3.5
Requires-Dist: setuptools (>=36)
Provides-Extra: testing
Requires-Dist: coverage ; extra == 'testing'
Requires-Dist: pyyaml ; extra == 'testing'
This is a Python implementation of John Gruber's Markdown_.
It is almost completely compliant with the reference implementation,
though there are a few known issues. See Features_ for information
on what exactly is supported and what is not. Additional features are
supported by the `Available Extensions`_.
.. _Markdown: https://daringfireball.net/projects/markdown/
.. _Features: https://Python-Markdown.github.io#features
.. _`Available Extensions`: https://Python-Markdown.github.io/extensions/
Support
=======
You may report bugs, ask for help, and discuss various other issues on
the `bug tracker`_.
.. _`bug tracker`: https://github.com/Python-Markdown/markdown/issues
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Wheel-Version: 1.0
Generator: bdist_wheel (0.33.4)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any
[console_scripts]
markdown_py = markdown.__main__:run
[markdown.extensions]
abbr = markdown.extensions.abbr:AbbrExtension
admonition = markdown.extensions.admonition:AdmonitionExtension
attr_list = markdown.extensions.attr_list:AttrListExtension
codehilite = markdown.extensions.codehilite:CodeHiliteExtension
def_list = markdown.extensions.def_list:DefListExtension
extra = markdown.extensions.extra:ExtraExtension
fenced_code = markdown.extensions.fenced_code:FencedCodeExtension
footnotes = markdown.extensions.footnotes:FootnoteExtension
legacy_attrs = markdown.extensions.legacy_attrs:LegacyAttrExtension
legacy_em = markdown.extensions.legacy_em:LegacyEmExtension
md_in_html = markdown.extensions.md_in_html:MarkdownInHtmlExtension
meta = markdown.extensions.meta:MetaExtension
nl2br = markdown.extensions.nl2br:Nl2BrExtension
sane_lists = markdown.extensions.sane_lists:SaneListExtension
smarty = markdown.extensions.smarty:SmartyExtension
tables = markdown.extensions.tables:TableExtension
toc = markdown.extensions.toc:TocExtension
wikilinks = markdown.extensions.wikilinks:WikiLinkExtension
#
# The Python Imaging Library
# $Id$
#
# bitmap distribution font (bdf) file parser
#
# history:
# 1996-05-16 fl created (as bdf2pil)
# 1997-08-25 fl converted to FontFile driver
# 2001-05-25 fl removed bogus __init__ call
# 2002-11-20 fl robustification (from Kevin Cazabon, Dmitry Vasiliev)
# 2003-04-22 fl more robustification (from Graham Dumpleton)
#
# Copyright (c) 1997-2003 by Secret Labs AB.
# Copyright (c) 1997-2003 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#
from __future__ import print_function
from . import FontFile, Image
# --------------------------------------------------------------------
# parse X Bitmap Distribution Format (BDF)
# --------------------------------------------------------------------
bdf_slant = {
"R": "Roman",
"I": "Italic",
"O": "Oblique",
"RI": "Reverse Italic",
"RO": "Reverse Oblique",
"OT": "Other",
}
bdf_spacing = {"P": "Proportional", "M": "Monospaced", "C": "Cell"}
def bdf_char(f):
# skip to STARTCHAR
while True:
s = f.readline()
if not s:
return None
if s[:9] == b"STARTCHAR":
break
id = s[9:].strip().decode("ascii")
# load symbol properties
props = {}
while True:
s = f.readline()
if not s or s[:6] == b"BITMAP":
break
i = s.find(b" ")
props[s[:i].decode("ascii")] = s[i + 1 : -1].decode("ascii")
# load bitmap
bitmap = []
while True:
s = f.readline()
if not s or s[:7] == b"ENDCHAR":
break
bitmap.append(s[:-1])
bitmap = b"".join(bitmap)
[x, y, l, d] = [int(p) for p in props["BBX"].split()]
[dx, dy] = [int(p) for p in props["DWIDTH"].split()]
bbox = (dx, dy), (l, -d - y, x + l, -d), (0, 0, x, y)
try:
im = Image.frombytes("1", (x, y), bitmap, "hex", "1")
except ValueError:
# deal with zero-width characters
im = Image.new("1", (x, y))
return id, int(props["ENCODING"]), bbox, im
##
# Font file plugin for the X11 BDF format.
class BdfFontFile(FontFile.FontFile):
def __init__(self, fp):
FontFile.FontFile.__init__(self)
s = fp.readline()
if s[:13] != b"STARTFONT 2.1":
raise SyntaxError("not a valid BDF file")
props = {}
comments = []
while True:
s = fp.readline()
if not s or s[:13] == b"ENDPROPERTIES":
break
i = s.find(b" ")
props[s[:i].decode("ascii")] = s[i + 1 : -1].decode("ascii")
if s[:i] in [b"COMMENT", b"COPYRIGHT"]:
if s.find(b"LogicalFontDescription") < 0:
comments.append(s[i + 1 : -1].decode("ascii"))
while True:
c = bdf_char(fp)
if not c:
break
id, ch, (xy, dst, src), im = c
if 0 <= ch < len(self.glyph):
self.glyph[ch] = xy, dst, src, im
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#
# The Python Imaging Library
# $Id$
#
# BUFR stub adapter
#
# Copyright (c) 1996-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from . import Image, ImageFile
_handler = None
def register_handler(handler):
"""
Install application-specific BUFR image handler.
:param handler: Handler object.
"""
global _handler
_handler = handler
# --------------------------------------------------------------------
# Image adapter
def _accept(prefix):
return prefix[:4] == b"BUFR" or prefix[:4] == b"ZCZC"
class BufrStubImageFile(ImageFile.StubImageFile):
format = "BUFR"
format_description = "BUFR"
def _open(self):
offset = self.fp.tell()
if not _accept(self.fp.read(4)):
raise SyntaxError("Not a BUFR file")
self.fp.seek(offset)
# make something up
self.mode = "F"
self._size = 1, 1
loader = self._load()
if loader:
loader.open(self)
def _load(self):
return _handler
def _save(im, fp, filename):
if _handler is None or not hasattr("_handler", "save"):
raise IOError("BUFR save handler not installed")
_handler.save(im, fp, filename)
# --------------------------------------------------------------------
# Registry
Image.register_open(BufrStubImageFile.format, BufrStubImageFile, _accept)
Image.register_save(BufrStubImageFile.format, _save)
Image.register_extension(BufrStubImageFile.format, ".bufr")
#
# The Python Imaging Library.
# $Id$
#
# a class to read from a container file
#
# History:
# 1995-06-18 fl Created
# 1995-09-07 fl Added readline(), readlines()
#
# Copyright (c) 1997-2001 by Secret Labs AB
# Copyright (c) 1995 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
##
# A file object that provides read access to a part of an existing
# file (for example a TAR file).
import io
class ContainerIO(object):
def __init__(self, file, offset, length):
"""
Create file object.
:param file: Existing file.
:param offset: Start of region, in bytes.
:param length: Size of region, in bytes.
"""
self.fh = file
self.pos = 0
self.offset = offset
self.length = length
self.fh.seek(offset)
##
# Always false.
def isatty(self):
return False
def seek(self, offset, mode=io.SEEK_SET):
"""
Move file pointer.
:param offset: Offset in bytes.
:param mode: Starting position. Use 0 for beginning of region, 1
for current offset, and 2 for end of region. You cannot move
the pointer outside the defined region.
"""
if mode == 1:
self.pos = self.pos + offset
elif mode == 2:
self.pos = self.length + offset
else:
self.pos = offset
# clamp
self.pos = max(0, min(self.pos, self.length))
self.fh.seek(self.offset + self.pos)
def tell(self):
"""
Get current file pointer.
:returns: Offset from start of region, in bytes.
"""
return self.pos
def read(self, n=0):
"""
Read data.
:param n: Number of bytes to read. If omitted or zero,
read until end of region.
:returns: An 8-bit string.
"""
if n:
n = min(n, self.length - self.pos)
else:
n = self.length - self.pos
if not n: # EOF
return ""
self.pos = self.pos + n
return self.fh.read(n)
def readline(self):
"""
Read a line of text.
:returns: An 8-bit string.
"""
s = ""
while True:
c = self.read(1)
if not c:
break
s = s + c
if c == "\n":
break
return s
def readlines(self):
"""
Read multiple lines of text.
:returns: A list of 8-bit strings.
"""
lines = []
while True:
s = self.readline()
if not s:
break
lines.append(s)
return lines
#
# The Python Imaging Library.
# $Id$
#
# Windows Cursor support for PIL
#
# notes:
# uses BmpImagePlugin.py to read the bitmap data.
#
# history:
# 96-05-27 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
from __future__ import print_function
from . import BmpImagePlugin, Image
from ._binary import i8, i16le as i16, i32le as i32
# __version__ is deprecated and will be removed in a future version. Use
# PIL.__version__ instead.
__version__ = "0.1"
#
# --------------------------------------------------------------------
def _accept(prefix):
return prefix[:4] == b"\0\0\2\0"
##
# Image plugin for Windows Cursor files.
class CurImageFile(BmpImagePlugin.BmpImageFile):
format = "CUR"
format_description = "Windows Cursor"
def _open(self):
offset = self.fp.tell()
# check magic
s = self.fp.read(6)
if not _accept(s):
raise SyntaxError("not a CUR file")
# pick the largest cursor in the file
m = b""
for i in range(i16(s[4:])):
s = self.fp.read(16)
if not m:
m = s
elif i8(s[0]) > i8(m[0]) and i8(s[1]) > i8(m[1]):
m = s
if not m:
raise TypeError("No cursors were found")
# load as bitmap
self._bitmap(i32(m[12:]) + offset)
# patch up the bitmap height
self._size = self.size[0], self.size[1] // 2
d, e, o, a = self.tile[0]
self.tile[0] = d, (0, 0) + self.size, o, a
return
#
# --------------------------------------------------------------------
Image.register_open(CurImageFile.format, CurImageFile, _accept)
Image.register_extension(CurImageFile.format, ".cur")
#
# The Python Imaging Library.
# $Id$
#
# DCX file handling
#
# DCX is a container file format defined by Intel, commonly used
# for fax applications. Each DCX file consists of a directory
# (a list of file offsets) followed by a set of (usually 1-bit)
# PCX files.
#
# History:
# 1995-09-09 fl Created
# 1996-03-20 fl Properly derived from PcxImageFile.
# 1998-07-15 fl Renamed offset attribute to avoid name clash
# 2002-07-30 fl Fixed file handling
#
# Copyright (c) 1997-98 by Secret Labs AB.
# Copyright (c) 1995-96 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#
from . import Image
from ._binary import i32le as i32
from .PcxImagePlugin import PcxImageFile
# __version__ is deprecated and will be removed in a future version. Use
# PIL.__version__ instead.
__version__ = "0.2"
MAGIC = 0x3ADE68B1 # QUIZ: what's this value, then?
def _accept(prefix):
return len(prefix) >= 4 and i32(prefix) == MAGIC
##
# Image plugin for the Intel DCX format.
class DcxImageFile(PcxImageFile):
format = "DCX"
format_description = "Intel DCX"
_close_exclusive_fp_after_loading = False
def _open(self):
# Header
s = self.fp.read(4)
if i32(s) != MAGIC:
raise SyntaxError("not a DCX file")
# Component directory
self._offset = []
for i in range(1024):
offset = i32(self.fp.read(4))
if not offset:
break
self._offset.append(offset)
self.__fp = self.fp
self.frame = None
self.seek(0)
@property
def n_frames(self):
return len(self._offset)
@property
def is_animated(self):
return len(self._offset) > 1
def seek(self, frame):
if not self._seek_check(frame):
return
self.frame = frame
self.fp = self.__fp
self.fp.seek(self._offset[frame])
PcxImageFile._open(self)
def tell(self):
return self.frame
def _close__fp(self):
try:
if self.__fp != self.fp:
self.__fp.close()
except AttributeError:
pass
finally:
self.__fp = None
Image.register_open(DcxImageFile.format, DcxImageFile, _accept)
Image.register_extension(DcxImageFile.format, ".dcx")
"""
A Pillow loader for .dds files (S3TC-compressed aka DXTC)
Jerome Leclanche <jerome@leclan.ch>
Documentation:
https://web.archive.org/web/20170802060935/http://oss.sgi.com/projects/ogl-sample/registry/EXT/texture_compression_s3tc.txt
The contents of this file are hereby released in the public domain (CC0)
Full text of the CC0 license:
https://creativecommons.org/publicdomain/zero/1.0/
"""
import struct
from io import BytesIO
from . import Image, ImageFile
# Magic ("DDS ")
DDS_MAGIC = 0x20534444
# DDS flags
DDSD_CAPS = 0x1
DDSD_HEIGHT = 0x2
DDSD_WIDTH = 0x4
DDSD_PITCH = 0x8
DDSD_PIXELFORMAT = 0x1000
DDSD_MIPMAPCOUNT = 0x20000
DDSD_LINEARSIZE = 0x80000
DDSD_DEPTH = 0x800000
# DDS caps
DDSCAPS_COMPLEX = 0x8
DDSCAPS_TEXTURE = 0x1000
DDSCAPS_MIPMAP = 0x400000
DDSCAPS2_CUBEMAP = 0x200
DDSCAPS2_CUBEMAP_POSITIVEX = 0x400
DDSCAPS2_CUBEMAP_NEGATIVEX = 0x800
DDSCAPS2_CUBEMAP_POSITIVEY = 0x1000
DDSCAPS2_CUBEMAP_NEGATIVEY = 0x2000
DDSCAPS2_CUBEMAP_POSITIVEZ = 0x4000
DDSCAPS2_CUBEMAP_NEGATIVEZ = 0x8000
DDSCAPS2_VOLUME = 0x200000
# Pixel Format
DDPF_ALPHAPIXELS = 0x1
DDPF_ALPHA = 0x2
DDPF_FOURCC = 0x4
DDPF_PALETTEINDEXED8 = 0x20
DDPF_RGB = 0x40
DDPF_LUMINANCE = 0x20000
# dds.h
DDS_FOURCC = DDPF_FOURCC
DDS_RGB = DDPF_RGB
DDS_RGBA = DDPF_RGB | DDPF_ALPHAPIXELS
DDS_LUMINANCE = DDPF_LUMINANCE
DDS_LUMINANCEA = DDPF_LUMINANCE | DDPF_ALPHAPIXELS
DDS_ALPHA = DDPF_ALPHA
DDS_PAL8 = DDPF_PALETTEINDEXED8
DDS_HEADER_FLAGS_TEXTURE = DDSD_CAPS | DDSD_HEIGHT | DDSD_WIDTH | DDSD_PIXELFORMAT
DDS_HEADER_FLAGS_MIPMAP = DDSD_MIPMAPCOUNT
DDS_HEADER_FLAGS_VOLUME = DDSD_DEPTH
DDS_HEADER_FLAGS_PITCH = DDSD_PITCH
DDS_HEADER_FLAGS_LINEARSIZE = DDSD_LINEARSIZE
DDS_HEIGHT = DDSD_HEIGHT
DDS_WIDTH = DDSD_WIDTH
DDS_SURFACE_FLAGS_TEXTURE = DDSCAPS_TEXTURE
DDS_SURFACE_FLAGS_MIPMAP = DDSCAPS_COMPLEX | DDSCAPS_MIPMAP
DDS_SURFACE_FLAGS_CUBEMAP = DDSCAPS_COMPLEX
DDS_CUBEMAP_POSITIVEX = DDSCAPS2_CUBEMAP | DDSCAPS2_CUBEMAP_POSITIVEX
DDS_CUBEMAP_NEGATIVEX = DDSCAPS2_CUBEMAP | DDSCAPS2_CUBEMAP_NEGATIVEX
DDS_CUBEMAP_POSITIVEY = DDSCAPS2_CUBEMAP | DDSCAPS2_CUBEMAP_POSITIVEY
DDS_CUBEMAP_NEGATIVEY = DDSCAPS2_CUBEMAP | DDSCAPS2_CUBEMAP_NEGATIVEY
DDS_CUBEMAP_POSITIVEZ = DDSCAPS2_CUBEMAP | DDSCAPS2_CUBEMAP_POSITIVEZ
DDS_CUBEMAP_NEGATIVEZ = DDSCAPS2_CUBEMAP | DDSCAPS2_CUBEMAP_NEGATIVEZ
# DXT1
DXT1_FOURCC = 0x31545844
# DXT3
DXT3_FOURCC = 0x33545844
# DXT5
DXT5_FOURCC = 0x35545844
# dxgiformat.h
DXGI_FORMAT_BC7_TYPELESS = 97
DXGI_FORMAT_BC7_UNORM = 98
DXGI_FORMAT_BC7_UNORM_SRGB = 99
class DdsImageFile(ImageFile.ImageFile):
format = "DDS"
format_description = "DirectDraw Surface"
def _open(self):
magic, header_size = struct.unpack("<II", self.fp.read(8))
if header_size != 124:
raise IOError("Unsupported header size %r" % (header_size))
header_bytes = self.fp.read(header_size - 4)
if len(header_bytes) != 120:
raise IOError("Incomplete header: %s bytes" % len(header_bytes))
header = BytesIO(header_bytes)
flags, height, width = struct.unpack("<3I", header.read(12))
self._size = (width, height)
self.mode = "RGBA"
pitch, depth, mipmaps = struct.unpack("<3I", header.read(12))
struct.unpack("<11I", header.read(44)) # reserved
# pixel format
pfsize, pfflags = struct.unpack("<2I", header.read(8))
fourcc = header.read(4)
bitcount, = struct.unpack("<I", header.read(4))
masks = struct.unpack("<4I", header.read(16))
if pfflags & 0x40:
# DDPF_RGB - Texture contains uncompressed RGB data
masks = {mask: ["R", "G", "B", "A"][i] for i, mask in enumerate(masks)}
rawmode = ""
if bitcount == 32:
rawmode += masks[0xFF000000]
rawmode += masks[0xFF0000] + masks[0xFF00] + masks[0xFF]
self.tile = [("raw", (0, 0) + self.size, 0, (rawmode, 0, 1))]
else:
data_start = header_size + 4
n = 0
if fourcc == b"DXT1":
self.pixel_format = "DXT1"
n = 1
elif fourcc == b"DXT3":
self.pixel_format = "DXT3"
n = 2
elif fourcc == b"DXT5":
self.pixel_format = "DXT5"
n = 3
elif fourcc == b"DX10":
data_start += 20
# ignoring flags which pertain to volume textures and cubemaps
dxt10 = BytesIO(self.fp.read(20))
dxgi_format, dimension = struct.unpack("<II", dxt10.read(8))
if dxgi_format in (DXGI_FORMAT_BC7_TYPELESS, DXGI_FORMAT_BC7_UNORM):
self.pixel_format = "BC7"
n = 7
elif dxgi_format == DXGI_FORMAT_BC7_UNORM_SRGB:
self.pixel_format = "BC7"
self.im_info["gamma"] = 1 / 2.2
n = 7
else:
raise NotImplementedError(
"Unimplemented DXGI format %d" % (dxgi_format)
)
else:
raise NotImplementedError("Unimplemented pixel format %r" % (fourcc))
self.tile = [("bcn", (0, 0) + self.size, data_start, (n))]
def load_seek(self, pos):
pass
def _validate(prefix):
return prefix[:4] == b"DDS "
Image.register_open(DdsImageFile.format, DdsImageFile, _validate)
Image.register_extension(DdsImageFile.format, ".dds")
This diff is collapsed. Click to expand it.
#
# The Python Imaging Library.
# $Id$
#
# EXIF tags
#
# Copyright (c) 2003 by Secret Labs AB
#
# See the README file for information on usage and redistribution.
#
##
# This module provides constants and clear-text names for various
# well-known EXIF tags.
##
##
# Maps EXIF tags to tag names.
TAGS = {
# possibly incomplete
0x000B: "ProcessingSoftware",
0x00FE: "NewSubfileType",
0x00FF: "SubfileType",
0x0100: "ImageWidth",
0x0101: "ImageLength",
0x0102: "BitsPerSample",
0x0103: "Compression",
0x0106: "PhotometricInterpretation",
0x0107: "Thresholding",
0x0108: "CellWidth",
0x0109: "CellLength",
0x010A: "FillOrder",
0x010D: "DocumentName",
0x010E: "ImageDescription",
0x010F: "Make",
0x0110: "Model",
0x0111: "StripOffsets",
0x0112: "Orientation",
0x0115: "SamplesPerPixel",
0x0116: "RowsPerStrip",
0x0117: "StripByteCounts",
0x0118: "MinSampleValue",
0x0119: "MaxSampleValue",
0x011A: "XResolution",
0x011B: "YResolution",
0x011C: "PlanarConfiguration",
0x011D: "PageName",
0x0120: "FreeOffsets",
0x0121: "FreeByteCounts",
0x0122: "GrayResponseUnit",
0x0123: "GrayResponseCurve",
0x0124: "T4Options",
0x0125: "T6Options",
0x0128: "ResolutionUnit",
0x0129: "PageNumber",
0x012D: "TransferFunction",
0x0131: "Software",
0x0132: "DateTime",
0x013B: "Artist",
0x013C: "HostComputer",
0x013D: "Predictor",
0x013E: "WhitePoint",
0x013F: "PrimaryChromaticities",
0x0140: "ColorMap",
0x0141: "HalftoneHints",
0x0142: "TileWidth",
0x0143: "TileLength",
0x0144: "TileOffsets",
0x0145: "TileByteCounts",
0x014A: "SubIFDs",
0x014C: "InkSet",
0x014D: "InkNames",
0x014E: "NumberOfInks",
0x0150: "DotRange",
0x0151: "TargetPrinter",
0x0152: "ExtraSamples",
0x0153: "SampleFormat",
0x0154: "SMinSampleValue",
0x0155: "SMaxSampleValue",
0x0156: "TransferRange",
0x0157: "ClipPath",
0x0158: "XClipPathUnits",
0x0159: "YClipPathUnits",
0x015A: "Indexed",
0x015B: "JPEGTables",
0x015F: "OPIProxy",
0x0200: "JPEGProc",
0x0201: "JpegIFOffset",
0x0202: "JpegIFByteCount",
0x0203: "JpegRestartInterval",
0x0205: "JpegLosslessPredictors",
0x0206: "JpegPointTransforms",
0x0207: "JpegQTables",
0x0208: "JpegDCTables",
0x0209: "JpegACTables",
0x0211: "YCbCrCoefficients",
0x0212: "YCbCrSubSampling",
0x0213: "YCbCrPositioning",
0x0214: "ReferenceBlackWhite",
0x02BC: "XMLPacket",
0x1000: "RelatedImageFileFormat",
0x1001: "RelatedImageWidth",
0x1002: "RelatedImageLength",
0x4746: "Rating",
0x4749: "RatingPercent",
0x800D: "ImageID",
0x828D: "CFARepeatPatternDim",
0x828E: "CFAPattern",
0x828F: "BatteryLevel",
0x8298: "Copyright",
0x829A: "ExposureTime",
0x829D: "FNumber",
0x83BB: "IPTCNAA",
0x8649: "ImageResources",
0x8769: "ExifOffset",
0x8773: "InterColorProfile",
0x8822: "ExposureProgram",
0x8824: "SpectralSensitivity",
0x8825: "GPSInfo",
0x8827: "ISOSpeedRatings",
0x8828: "OECF",
0x8829: "Interlace",
0x882A: "TimeZoneOffset",
0x882B: "SelfTimerMode",
0x9000: "ExifVersion",
0x9003: "DateTimeOriginal",
0x9004: "DateTimeDigitized",
0x9101: "ComponentsConfiguration",
0x9102: "CompressedBitsPerPixel",
0x9201: "ShutterSpeedValue",
0x9202: "ApertureValue",
0x9203: "BrightnessValue",
0x9204: "ExposureBiasValue",
0x9205: "MaxApertureValue",
0x9206: "SubjectDistance",
0x9207: "MeteringMode",
0x9208: "LightSource",
0x9209: "Flash",
0x920A: "FocalLength",
0x920B: "FlashEnergy",
0x920C: "SpatialFrequencyResponse",
0x920D: "Noise",
0x9211: "ImageNumber",
0x9212: "SecurityClassification",
0x9213: "ImageHistory",
0x9214: "SubjectLocation",
0x9215: "ExposureIndex",
0x9216: "TIFF/EPStandardID",
0x927C: "MakerNote",
0x9286: "UserComment",
0x9290: "SubsecTime",
0x9291: "SubsecTimeOriginal",
0x9292: "SubsecTimeDigitized",
0x9C9B: "XPTitle",
0x9C9C: "XPComment",
0x9C9D: "XPAuthor",
0x9C9E: "XPKeywords",
0x9C9F: "XPSubject",
0xA000: "FlashPixVersion",
0xA001: "ColorSpace",
0xA002: "ExifImageWidth",
0xA003: "ExifImageHeight",
0xA004: "RelatedSoundFile",
0xA005: "ExifInteroperabilityOffset",
0xA20B: "FlashEnergy",
0xA20C: "SpatialFrequencyResponse",
0xA20E: "FocalPlaneXResolution",
0xA20F: "FocalPlaneYResolution",
0xA210: "FocalPlaneResolutionUnit",
0xA214: "SubjectLocation",
0xA215: "ExposureIndex",
0xA217: "SensingMethod",
0xA300: "FileSource",
0xA301: "SceneType",
0xA302: "CFAPattern",
0xA401: "CustomRendered",
0xA402: "ExposureMode",
0xA403: "WhiteBalance",
0xA404: "DigitalZoomRatio",
0xA405: "FocalLengthIn35mmFilm",
0xA406: "SceneCaptureType",
0xA407: "GainControl",
0xA408: "Contrast",
0xA409: "Saturation",
0xA40A: "Sharpness",
0xA40B: "DeviceSettingDescription",
0xA40C: "SubjectDistanceRange",
0xA420: "ImageUniqueID",
0xA430: "CameraOwnerName",
0xA431: "BodySerialNumber",
0xA432: "LensSpecification",
0xA433: "LensMake",
0xA434: "LensModel",
0xA435: "LensSerialNumber",
0xA500: "Gamma",
0xC4A5: "PrintImageMatching",
0xC612: "DNGVersion",
0xC613: "DNGBackwardVersion",
0xC614: "UniqueCameraModel",
0xC615: "LocalizedCameraModel",
0xC616: "CFAPlaneColor",
0xC617: "CFALayout",
0xC618: "LinearizationTable",
0xC619: "BlackLevelRepeatDim",
0xC61A: "BlackLevel",
0xC61B: "BlackLevelDeltaH",
0xC61C: "BlackLevelDeltaV",
0xC61D: "WhiteLevel",
0xC61E: "DefaultScale",
0xC61F: "DefaultCropOrigin",
0xC620: "DefaultCropSize",
0xC621: "ColorMatrix1",
0xC622: "ColorMatrix2",
0xC623: "CameraCalibration1",
0xC624: "CameraCalibration2",
0xC625: "ReductionMatrix1",
0xC626: "ReductionMatrix2",
0xC627: "AnalogBalance",
0xC628: "AsShotNeutral",
0xC629: "AsShotWhiteXY",
0xC62A: "BaselineExposure",
0xC62B: "BaselineNoise",
0xC62C: "BaselineSharpness",
0xC62D: "BayerGreenSplit",
0xC62E: "LinearResponseLimit",
0xC62F: "CameraSerialNumber",
0xC630: "LensInfo",
0xC631: "ChromaBlurRadius",
0xC632: "AntiAliasStrength",
0xC633: "ShadowScale",
0xC634: "DNGPrivateData",
0xC635: "MakerNoteSafety",
0xC65A: "CalibrationIlluminant1",
0xC65B: "CalibrationIlluminant2",
0xC65C: "BestQualityScale",
0xC65D: "RawDataUniqueID",
0xC68B: "OriginalRawFileName",
0xC68C: "OriginalRawFileData",
0xC68D: "ActiveArea",
0xC68E: "MaskedAreas",
0xC68F: "AsShotICCProfile",
0xC690: "AsShotPreProfileMatrix",
0xC691: "CurrentICCProfile",
0xC692: "CurrentPreProfileMatrix",
0xC6BF: "ColorimetricReference",
0xC6F3: "CameraCalibrationSignature",
0xC6F4: "ProfileCalibrationSignature",
0xC6F6: "AsShotProfileName",
0xC6F7: "NoiseReductionApplied",
0xC6F8: "ProfileName",
0xC6F9: "ProfileHueSatMapDims",
0xC6FA: "ProfileHueSatMapData1",
0xC6FB: "ProfileHueSatMapData2",
0xC6FC: "ProfileToneCurve",
0xC6FD: "ProfileEmbedPolicy",
0xC6FE: "ProfileCopyright",
0xC714: "ForwardMatrix1",
0xC715: "ForwardMatrix2",
0xC716: "PreviewApplicationName",
0xC717: "PreviewApplicationVersion",
0xC718: "PreviewSettingsName",
0xC719: "PreviewSettingsDigest",
0xC71A: "PreviewColorSpace",
0xC71B: "PreviewDateTime",
0xC71C: "RawImageDigest",
0xC71D: "OriginalRawFileDigest",
0xC71E: "SubTileBlockSize",
0xC71F: "RowInterleaveFactor",
0xC725: "ProfileLookTableDims",
0xC726: "ProfileLookTableData",
0xC740: "OpcodeList1",
0xC741: "OpcodeList2",
0xC74E: "OpcodeList3",
0xC761: "NoiseProfile",
}
##
# Maps EXIF GPS tags to tag names.
GPSTAGS = {
0: "GPSVersionID",
1: "GPSLatitudeRef",
2: "GPSLatitude",
3: "GPSLongitudeRef",
4: "GPSLongitude",
5: "GPSAltitudeRef",
6: "GPSAltitude",
7: "GPSTimeStamp",
8: "GPSSatellites",
9: "GPSStatus",
10: "GPSMeasureMode",
11: "GPSDOP",
12: "GPSSpeedRef",
13: "GPSSpeed",
14: "GPSTrackRef",
15: "GPSTrack",
16: "GPSImgDirectionRef",
17: "GPSImgDirection",
18: "GPSMapDatum",
19: "GPSDestLatitudeRef",
20: "GPSDestLatitude",
21: "GPSDestLongitudeRef",
22: "GPSDestLongitude",
23: "GPSDestBearingRef",
24: "GPSDestBearing",
25: "GPSDestDistanceRef",
26: "GPSDestDistance",
27: "GPSProcessingMethod",
28: "GPSAreaInformation",
29: "GPSDateStamp",
30: "GPSDifferential",
31: "GPSHPositioningError",
}
#
# The Python Imaging Library
# $Id$
#
# FITS stub adapter
#
# Copyright (c) 1998-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from . import Image, ImageFile
_handler = None
def register_handler(handler):
"""
Install application-specific FITS image handler.
:param handler: Handler object.
"""
global _handler
_handler = handler
# --------------------------------------------------------------------
# Image adapter
def _accept(prefix):
return prefix[:6] == b"SIMPLE"
class FITSStubImageFile(ImageFile.StubImageFile):
format = "FITS"
format_description = "FITS"
def _open(self):
offset = self.fp.tell()
if not _accept(self.fp.read(6)):
raise SyntaxError("Not a FITS file")
# FIXME: add more sanity checks here; mandatory header items
# include SIMPLE, BITPIX, NAXIS, etc.
self.fp.seek(offset)
# make something up
self.mode = "F"
self._size = 1, 1
loader = self._load()
if loader:
loader.open(self)
def _load(self):
return _handler
def _save(im, fp, filename):
if _handler is None or not hasattr("_handler", "save"):
raise IOError("FITS save handler not installed")
_handler.save(im, fp, filename)
# --------------------------------------------------------------------
# Registry
Image.register_open(FITSStubImageFile.format, FITSStubImageFile, _accept)
Image.register_save(FITSStubImageFile.format, _save)
Image.register_extensions(FITSStubImageFile.format, [".fit", ".fits"])
#
# The Python Imaging Library.
# $Id$
#
# FLI/FLC file handling.
#
# History:
# 95-09-01 fl Created
# 97-01-03 fl Fixed parser, setup decoder tile
# 98-07-15 fl Renamed offset attribute to avoid name clash
#
# Copyright (c) Secret Labs AB 1997-98.
# Copyright (c) Fredrik Lundh 1995-97.
#
# See the README file for information on usage and redistribution.
#
from . import Image, ImageFile, ImagePalette
from ._binary import i8, i16le as i16, i32le as i32, o8
# __version__ is deprecated and will be removed in a future version. Use
# PIL.__version__ instead.
__version__ = "0.2"
#
# decoder
def _accept(prefix):
return len(prefix) >= 6 and i16(prefix[4:6]) in [0xAF11, 0xAF12]
##
# Image plugin for the FLI/FLC animation format. Use the <b>seek</b>
# method to load individual frames.
class FliImageFile(ImageFile.ImageFile):
format = "FLI"
format_description = "Autodesk FLI/FLC Animation"
_close_exclusive_fp_after_loading = False
def _open(self):
# HEAD
s = self.fp.read(128)
magic = i16(s[4:6])
if not (
magic in [0xAF11, 0xAF12]
and i16(s[14:16]) in [0, 3] # flags
and s[20:22] == b"\x00\x00" # reserved
):
raise SyntaxError("not an FLI/FLC file")
# frames
self.__framecount = i16(s[6:8])
# image characteristics
self.mode = "P"
self._size = i16(s[8:10]), i16(s[10:12])
# animation speed
duration = i32(s[16:20])
if magic == 0xAF11:
duration = (duration * 1000) // 70
self.info["duration"] = duration
# look for palette
palette = [(a, a, a) for a in range(256)]
s = self.fp.read(16)
self.__offset = 128
if i16(s[4:6]) == 0xF100:
# prefix chunk; ignore it
self.__offset = self.__offset + i32(s)
s = self.fp.read(16)
if i16(s[4:6]) == 0xF1FA:
# look for palette chunk
s = self.fp.read(6)
if i16(s[4:6]) == 11:
self._palette(palette, 2)
elif i16(s[4:6]) == 4:
self._palette(palette, 0)
palette = [o8(r) + o8(g) + o8(b) for (r, g, b) in palette]
self.palette = ImagePalette.raw("RGB", b"".join(palette))
# set things up to decode first frame
self.__frame = -1
self.__fp = self.fp
self.__rewind = self.fp.tell()
self.seek(0)
def _palette(self, palette, shift):
# load palette
i = 0
for e in range(i16(self.fp.read(2))):
s = self.fp.read(2)
i = i + i8(s[0])
n = i8(s[1])
if n == 0:
n = 256
s = self.fp.read(n * 3)
for n in range(0, len(s), 3):
r = i8(s[n]) << shift
g = i8(s[n + 1]) << shift
b = i8(s[n + 2]) << shift
palette[i] = (r, g, b)
i += 1
@property
def n_frames(self):
return self.__framecount
@property
def is_animated(self):
return self.__framecount > 1
def seek(self, frame):
if not self._seek_check(frame):
return
if frame < self.__frame:
self._seek(0)
for f in range(self.__frame + 1, frame + 1):
self._seek(f)
def _seek(self, frame):
if frame == 0:
self.__frame = -1
self.__fp.seek(self.__rewind)
self.__offset = 128
else:
# ensure that the previous frame was loaded
self.load()
if frame != self.__frame + 1:
raise ValueError("cannot seek to frame %d" % frame)
self.__frame = frame
# move to next frame
self.fp = self.__fp
self.fp.seek(self.__offset)
s = self.fp.read(4)
if not s:
raise EOFError
framesize = i32(s)
self.decodermaxblock = framesize
self.tile = [("fli", (0, 0) + self.size, self.__offset, None)]
self.__offset += framesize
def tell(self):
return self.__frame
def _close__fp(self):
try:
if self.__fp != self.fp:
self.__fp.close()
except AttributeError:
pass
finally:
self.__fp = None
#
# registry
Image.register_open(FliImageFile.format, FliImageFile, _accept)
Image.register_extensions(FliImageFile.format, [".fli", ".flc"])
#
# The Python Imaging Library
# $Id$
#
# base class for raster font file parsers
#
# history:
# 1997-06-05 fl created
# 1997-08-19 fl restrict image width
#
# Copyright (c) 1997-1998 by Secret Labs AB
# Copyright (c) 1997-1998 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from __future__ import print_function
import os
from . import Image, _binary
WIDTH = 800
def puti16(fp, values):
# write network order (big-endian) 16-bit sequence
for v in values:
if v < 0:
v += 65536
fp.write(_binary.o16be(v))
##
# Base class for raster font file handlers.
class FontFile(object):
bitmap = None
def __init__(self):
self.info = {}
self.glyph = [None] * 256
def __getitem__(self, ix):
return self.glyph[ix]
def compile(self):
"""Create metrics and bitmap"""
if self.bitmap:
return
# create bitmap large enough to hold all data
h = w = maxwidth = 0
lines = 1
for glyph in self:
if glyph:
d, dst, src, im = glyph
h = max(h, src[3] - src[1])
w = w + (src[2] - src[0])
if w > WIDTH:
lines += 1
w = src[2] - src[0]
maxwidth = max(maxwidth, w)
xsize = maxwidth
ysize = lines * h
if xsize == 0 and ysize == 0:
return ""
self.ysize = h
# paste glyphs into bitmap
self.bitmap = Image.new("1", (xsize, ysize))
self.metrics = [None] * 256
x = y = 0
for i in range(256):
glyph = self[i]
if glyph:
d, dst, src, im = glyph
xx = src[2] - src[0]
# yy = src[3] - src[1]
x0, y0 = x, y
x = x + xx
if x > WIDTH:
x, y = 0, y + h
x0, y0 = x, y
x = xx
s = src[0] + x0, src[1] + y0, src[2] + x0, src[3] + y0
self.bitmap.paste(im.crop(src), s)
self.metrics[i] = d, dst, s
def save(self, filename):
"""Save font"""
self.compile()
# font data
self.bitmap.save(os.path.splitext(filename)[0] + ".pbm", "PNG")
# font metrics
with open(os.path.splitext(filename)[0] + ".pil", "wb") as fp:
fp.write(b"PILfont\n")
fp.write((";;;;;;%d;\n" % self.ysize).encode("ascii")) # HACK!!!
fp.write(b"DATA\n")
for id in range(256):
m = self.metrics[id]
if not m:
puti16(fp, [0] * 10)
else:
puti16(fp, m[0] + m[1] + m[2])
#
# THIS IS WORK IN PROGRESS
#
# The Python Imaging Library.
# $Id$
#
# FlashPix support for PIL
#
# History:
# 97-01-25 fl Created (reads uncompressed RGB images only)
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1997.
#
# See the README file for information on usage and redistribution.
#
from __future__ import print_function
import olefile
from . import Image, ImageFile
from ._binary import i8, i32le as i32
# __version__ is deprecated and will be removed in a future version. Use
# PIL.__version__ instead.
__version__ = "0.1"
# we map from colour field tuples to (mode, rawmode) descriptors
MODES = {
# opacity
(0x00007FFE): ("A", "L"),
# monochrome
(0x00010000,): ("L", "L"),
(0x00018000, 0x00017FFE): ("RGBA", "LA"),
# photo YCC
(0x00020000, 0x00020001, 0x00020002): ("RGB", "YCC;P"),
(0x00028000, 0x00028001, 0x00028002, 0x00027FFE): ("RGBA", "YCCA;P"),
# standard RGB (NIFRGB)
(0x00030000, 0x00030001, 0x00030002): ("RGB", "RGB"),
(0x00038000, 0x00038001, 0x00038002, 0x00037FFE): ("RGBA", "RGBA"),
}
#
# --------------------------------------------------------------------
def _accept(prefix):
return prefix[:8] == olefile.MAGIC
##
# Image plugin for the FlashPix images.
class FpxImageFile(ImageFile.ImageFile):
format = "FPX"
format_description = "FlashPix"
def _open(self):
#
# read the OLE directory and see if this is a likely
# to be a FlashPix file
try:
self.ole = olefile.OleFileIO(self.fp)
except IOError:
raise SyntaxError("not an FPX file; invalid OLE file")
if self.ole.root.clsid != "56616700-C154-11CE-8553-00AA00A1F95B":
raise SyntaxError("not an FPX file; bad root CLSID")
self._open_index(1)
def _open_index(self, index=1):
#
# get the Image Contents Property Set
prop = self.ole.getproperties(
["Data Object Store %06d" % index, "\005Image Contents"]
)
# size (highest resolution)
self._size = prop[0x1000002], prop[0x1000003]
size = max(self.size)
i = 1
while size > 64:
size = size / 2
i += 1
self.maxid = i - 1
# mode. instead of using a single field for this, flashpix
# requires you to specify the mode for each channel in each
# resolution subimage, and leaves it to the decoder to make
# sure that they all match. for now, we'll cheat and assume
# that this is always the case.
id = self.maxid << 16
s = prop[0x2000002 | id]
colors = []
for i in range(i32(s, 4)):
# note: for now, we ignore the "uncalibrated" flag
colors.append(i32(s, 8 + i * 4) & 0x7FFFFFFF)
self.mode, self.rawmode = MODES[tuple(colors)]
# load JPEG tables, if any
self.jpeg = {}
for i in range(256):
id = 0x3000001 | (i << 16)
if id in prop:
self.jpeg[i] = prop[id]
self._open_subimage(1, self.maxid)
def _open_subimage(self, index=1, subimage=0):
#
# setup tile descriptors for a given subimage
stream = [
"Data Object Store %06d" % index,
"Resolution %04d" % subimage,
"Subimage 0000 Header",
]
fp = self.ole.openstream(stream)
# skip prefix
fp.read(28)
# header stream
s = fp.read(36)
size = i32(s, 4), i32(s, 8)
# tilecount = i32(s, 12)
tilesize = i32(s, 16), i32(s, 20)
# channels = i32(s, 24)
offset = i32(s, 28)
length = i32(s, 32)
if size != self.size:
raise IOError("subimage mismatch")
# get tile descriptors
fp.seek(28 + offset)
s = fp.read(i32(s, 12) * length)
x = y = 0
xsize, ysize = size
xtile, ytile = tilesize
self.tile = []
for i in range(0, len(s), length):
compression = i32(s, i + 8)
if compression == 0:
self.tile.append(
(
"raw",
(x, y, x + xtile, y + ytile),
i32(s, i) + 28,
(self.rawmode),
)
)
elif compression == 1:
# FIXME: the fill decoder is not implemented
self.tile.append(
(
"fill",
(x, y, x + xtile, y + ytile),
i32(s, i) + 28,
(self.rawmode, s[12:16]),
)
)
elif compression == 2:
internal_color_conversion = i8(s[14])
jpeg_tables = i8(s[15])
rawmode = self.rawmode
if internal_color_conversion:
# The image is stored as usual (usually YCbCr).
if rawmode == "RGBA":
# For "RGBA", data is stored as YCbCrA based on
# negative RGB. The following trick works around
# this problem :
jpegmode, rawmode = "YCbCrK", "CMYK"
else:
jpegmode = None # let the decoder decide
else:
# The image is stored as defined by rawmode
jpegmode = rawmode
self.tile.append(
(
"jpeg",
(x, y, x + xtile, y + ytile),
i32(s, i) + 28,
(rawmode, jpegmode),
)
)
# FIXME: jpeg tables are tile dependent; the prefix
# data must be placed in the tile descriptor itself!
if jpeg_tables:
self.tile_prefix = self.jpeg[jpeg_tables]
else:
raise IOError("unknown/invalid compression")
x = x + xtile
if x >= xsize:
x, y = 0, y + ytile
if y >= ysize:
break # isn't really required
self.stream = stream
self.fp = None
def load(self):
if not self.fp:
self.fp = self.ole.openstream(self.stream[:2] + ["Subimage 0000 Data"])
return ImageFile.ImageFile.load(self)
#
# --------------------------------------------------------------------
Image.register_open(FpxImageFile.format, FpxImageFile, _accept)
Image.register_extension(FpxImageFile.format, ".fpx")
"""
A Pillow loader for .ftc and .ftu files (FTEX)
Jerome Leclanche <jerome@leclan.ch>
The contents of this file are hereby released in the public domain (CC0)
Full text of the CC0 license:
https://creativecommons.org/publicdomain/zero/1.0/
Independence War 2: Edge Of Chaos - Texture File Format - 16 October 2001
The textures used for 3D objects in Independence War 2: Edge Of Chaos are in a
packed custom format called FTEX. This file format uses file extensions FTC
and FTU.
* FTC files are compressed textures (using standard texture compression).
* FTU files are not compressed.
Texture File Format
The FTC and FTU texture files both use the same format. This
has the following structure:
{header}
{format_directory}
{data}
Where:
{header} = {
u32:magic,
u32:version,
u32:width,
u32:height,
u32:mipmap_count,
u32:format_count
}
* The "magic" number is "FTEX".
* "width" and "height" are the dimensions of the texture.
* "mipmap_count" is the number of mipmaps in the texture.
* "format_count" is the number of texture formats (different versions of the
same texture) in this file.
{format_directory} = format_count * { u32:format, u32:where }
The format value is 0 for DXT1 compressed textures and 1 for 24-bit RGB
uncompressed textures.
The texture data for a format starts at the position "where" in the file.
Each set of texture data in the file has the following structure:
{data} = format_count * { u32:mipmap_size, mipmap_size * { u8 } }
* "mipmap_size" is the number of bytes in that mip level. For compressed
textures this is the size of the texture data compressed with DXT1. For 24 bit
uncompressed textures, this is 3 * width * height. Following this are the image
bytes for that mipmap level.
Note: All data is stored in little-Endian (Intel) byte order.
"""
import struct
from io import BytesIO
from . import Image, ImageFile
MAGIC = b"FTEX"
FORMAT_DXT1 = 0
FORMAT_UNCOMPRESSED = 1
class FtexImageFile(ImageFile.ImageFile):
format = "FTEX"
format_description = "Texture File Format (IW2:EOC)"
def _open(self):
struct.unpack("<I", self.fp.read(4)) # magic
struct.unpack("<i", self.fp.read(4)) # version
self._size = struct.unpack("<2i", self.fp.read(8))
mipmap_count, format_count = struct.unpack("<2i", self.fp.read(8))
self.mode = "RGB"
# Only support single-format files.
# I don't know of any multi-format file.
assert format_count == 1
format, where = struct.unpack("<2i", self.fp.read(8))
self.fp.seek(where)
mipmap_size, = struct.unpack("<i", self.fp.read(4))
data = self.fp.read(mipmap_size)
if format == FORMAT_DXT1:
self.mode = "RGBA"
self.tile = [("bcn", (0, 0) + self.size, 0, (1))]
elif format == FORMAT_UNCOMPRESSED:
self.tile = [("raw", (0, 0) + self.size, 0, ("RGB", 0, 1))]
else:
raise ValueError("Invalid texture compression format: %r" % (format))
self.fp.close()
self.fp = BytesIO(data)
def load_seek(self, pos):
pass
def _validate(prefix):
return prefix[:4] == MAGIC
Image.register_open(FtexImageFile.format, FtexImageFile, _validate)
Image.register_extensions(FtexImageFile.format, [".ftc", ".ftu"])
#
# The Python Imaging Library
#
# load a GIMP brush file
#
# History:
# 96-03-14 fl Created
# 16-01-08 es Version 2
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
# Copyright (c) Eric Soroos 2016.
#
# See the README file for information on usage and redistribution.
#
#
# See https://github.com/GNOME/gimp/blob/master/devel-docs/gbr.txt for
# format documentation.
#
# This code Interprets version 1 and 2 .gbr files.
# Version 1 files are obsolete, and should not be used for new
# brushes.
# Version 2 files are saved by GIMP v2.8 (at least)
# Version 3 files have a format specifier of 18 for 16bit floats in
# the color depth field. This is currently unsupported by Pillow.
from . import Image, ImageFile
from ._binary import i32be as i32
def _accept(prefix):
return len(prefix) >= 8 and i32(prefix[:4]) >= 20 and i32(prefix[4:8]) in (1, 2)
##
# Image plugin for the GIMP brush format.
class GbrImageFile(ImageFile.ImageFile):
format = "GBR"
format_description = "GIMP brush file"
def _open(self):
header_size = i32(self.fp.read(4))
version = i32(self.fp.read(4))
if header_size < 20:
raise SyntaxError("not a GIMP brush")
if version not in (1, 2):
raise SyntaxError("Unsupported GIMP brush version: %s" % version)
width = i32(self.fp.read(4))
height = i32(self.fp.read(4))
color_depth = i32(self.fp.read(4))
if width <= 0 or height <= 0:
raise SyntaxError("not a GIMP brush")
if color_depth not in (1, 4):
raise SyntaxError("Unsupported GIMP brush color depth: %s" % color_depth)
if version == 1:
comment_length = header_size - 20
else:
comment_length = header_size - 28
magic_number = self.fp.read(4)
if magic_number != b"GIMP":
raise SyntaxError("not a GIMP brush, bad magic number")
self.info["spacing"] = i32(self.fp.read(4))
comment = self.fp.read(comment_length)[:-1]
if color_depth == 1:
self.mode = "L"
else:
self.mode = "RGBA"
self._size = width, height
self.info["comment"] = comment
# Image might not be small
Image._decompression_bomb_check(self.size)
# Data is an uncompressed block of w * h * bytes/pixel
self._data_size = width * height * color_depth
def load(self):
self.im = Image.core.new(self.mode, self.size)
self.frombytes(self.fp.read(self._data_size))
#
# registry
Image.register_open(GbrImageFile.format, GbrImageFile, _accept)
Image.register_extension(GbrImageFile.format, ".gbr")
#
# The Python Imaging Library.
# $Id$
#
# GD file handling
#
# History:
# 1996-04-12 fl Created
#
# Copyright (c) 1997 by Secret Labs AB.
# Copyright (c) 1996 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#
# NOTE: This format cannot be automatically recognized, so the
# class is not registered for use with Image.open(). To open a
# gd file, use the GdImageFile.open() function instead.
# THE GD FORMAT IS NOT DESIGNED FOR DATA INTERCHANGE. This
# implementation is provided for convenience and demonstrational
# purposes only.
from . import ImageFile, ImagePalette
from ._binary import i8, i16be as i16, i32be as i32
# __version__ is deprecated and will be removed in a future version. Use
# PIL.__version__ instead.
__version__ = "0.1"
##
# Image plugin for the GD uncompressed format. Note that this format
# is not supported by the standard <b>Image.open</b> function. To use
# this plugin, you have to import the <b>GdImageFile</b> module and
# use the <b>GdImageFile.open</b> function.
class GdImageFile(ImageFile.ImageFile):
format = "GD"
format_description = "GD uncompressed images"
def _open(self):
# Header
s = self.fp.read(1037)
if not i16(s[:2]) in [65534, 65535]:
raise SyntaxError("Not a valid GD 2.x .gd file")
self.mode = "L" # FIXME: "P"
self._size = i16(s[2:4]), i16(s[4:6])
trueColor = i8(s[6])
trueColorOffset = 2 if trueColor else 0
# transparency index
tindex = i32(s[7 + trueColorOffset : 7 + trueColorOffset + 4])
if tindex < 256:
self.info["transparency"] = tindex
self.palette = ImagePalette.raw(
"XBGR", s[7 + trueColorOffset + 4 : 7 + trueColorOffset + 4 + 256 * 4]
)
self.tile = [
("raw", (0, 0) + self.size, 7 + trueColorOffset + 4 + 256 * 4, ("L", 0, 1))
]
def open(fp, mode="r"):
"""
Load texture from a GD image file.
:param filename: GD file name, or an opened file handle.
:param mode: Optional mode. In this version, if the mode argument
is given, it must be "r".
:returns: An image instance.
:raises IOError: If the image could not be read.
"""
if mode != "r":
raise ValueError("bad mode")
try:
return GdImageFile(fp)
except SyntaxError:
raise IOError("cannot identify this image file")
This diff is collapsed. Click to expand it.
#
# Python Imaging Library
# $Id$
#
# stuff to read (and render) GIMP gradient files
#
# History:
# 97-08-23 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1997.
#
# See the README file for information on usage and redistribution.
#
from math import log, pi, sin, sqrt
from ._binary import o8
# --------------------------------------------------------------------
# Stuff to translate curve segments to palette values (derived from
# the corresponding code in GIMP, written by Federico Mena Quintero.
# See the GIMP distribution for more information.)
#
EPSILON = 1e-10
def linear(middle, pos):
if pos <= middle:
if middle < EPSILON:
return 0.0
else:
return 0.5 * pos / middle
else:
pos = pos - middle
middle = 1.0 - middle
if middle < EPSILON:
return 1.0
else:
return 0.5 + 0.5 * pos / middle
def curved(middle, pos):
return pos ** (log(0.5) / log(max(middle, EPSILON)))
def sine(middle, pos):
return (sin((-pi / 2.0) + pi * linear(middle, pos)) + 1.0) / 2.0
def sphere_increasing(middle, pos):
return sqrt(1.0 - (linear(middle, pos) - 1.0) ** 2)
def sphere_decreasing(middle, pos):
return 1.0 - sqrt(1.0 - linear(middle, pos) ** 2)
SEGMENTS = [linear, curved, sine, sphere_increasing, sphere_decreasing]
class GradientFile(object):
gradient = None
def getpalette(self, entries=256):
palette = []
ix = 0
x0, x1, xm, rgb0, rgb1, segment = self.gradient[ix]
for i in range(entries):
x = i / float(entries - 1)
while x1 < x:
ix += 1
x0, x1, xm, rgb0, rgb1, segment = self.gradient[ix]
w = x1 - x0
if w < EPSILON:
scale = segment(0.5, 0.5)
else:
scale = segment((xm - x0) / w, (x - x0) / w)
# expand to RGBA
r = o8(int(255 * ((rgb1[0] - rgb0[0]) * scale + rgb0[0]) + 0.5))
g = o8(int(255 * ((rgb1[1] - rgb0[1]) * scale + rgb0[1]) + 0.5))
b = o8(int(255 * ((rgb1[2] - rgb0[2]) * scale + rgb0[2]) + 0.5))
a = o8(int(255 * ((rgb1[3] - rgb0[3]) * scale + rgb0[3]) + 0.5))
# add to palette
palette.append(r + g + b + a)
return b"".join(palette), "RGBA"
##
# File handler for GIMP's gradient format.
class GimpGradientFile(GradientFile):
def __init__(self, fp):
if fp.readline()[:13] != b"GIMP Gradient":
raise SyntaxError("not a GIMP gradient file")
line = fp.readline()
# GIMP 1.2 gradient files don't contain a name, but GIMP 1.3 files do
if line.startswith(b"Name: "):
line = fp.readline().strip()
count = int(line)
gradient = []
for i in range(count):
s = fp.readline().split()
w = [float(x) for x in s[:11]]
x0, x1 = w[0], w[2]
xm = w[1]
rgb0 = w[3:7]
rgb1 = w[7:11]
segment = SEGMENTS[int(s[11])]
cspace = int(s[12])
if cspace != 0:
raise IOError("cannot handle HSV colour space")
gradient.append((x0, x1, xm, rgb0, rgb1, segment))
self.gradient = gradient
#
# Python Imaging Library
# $Id$
#
# stuff to read GIMP palette files
#
# History:
# 1997-08-23 fl Created
# 2004-09-07 fl Support GIMP 2.0 palette files.
#
# Copyright (c) Secret Labs AB 1997-2004. All rights reserved.
# Copyright (c) Fredrik Lundh 1997-2004.
#
# See the README file for information on usage and redistribution.
#
import re
from ._binary import o8
##
# File handler for GIMP's palette format.
class GimpPaletteFile(object):
rawmode = "RGB"
def __init__(self, fp):
self.palette = [o8(i) * 3 for i in range(256)]
if fp.readline()[:12] != b"GIMP Palette":
raise SyntaxError("not a GIMP palette file")
for i in range(256):
s = fp.readline()
if not s:
break
# skip fields and comment lines
if re.match(br"\w+:|#", s):
continue
if len(s) > 100:
raise SyntaxError("bad palette file")
v = tuple(map(int, s.split()[:3]))
if len(v) != 3:
raise ValueError("bad palette entry")
self.palette[i] = o8(v[0]) + o8(v[1]) + o8(v[2])
self.palette = b"".join(self.palette)
def getpalette(self):
return self.palette, self.rawmode
#
# The Python Imaging Library
# $Id$
#
# GRIB stub adapter
#
# Copyright (c) 1996-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from . import Image, ImageFile
from ._binary import i8
_handler = None
def register_handler(handler):
"""
Install application-specific GRIB image handler.
:param handler: Handler object.
"""
global _handler
_handler = handler
# --------------------------------------------------------------------
# Image adapter
def _accept(prefix):
return prefix[0:4] == b"GRIB" and i8(prefix[7]) == 1
class GribStubImageFile(ImageFile.StubImageFile):
format = "GRIB"
format_description = "GRIB"
def _open(self):
offset = self.fp.tell()
if not _accept(self.fp.read(8)):
raise SyntaxError("Not a GRIB file")
self.fp.seek(offset)
# make something up
self.mode = "F"
self._size = 1, 1
loader = self._load()
if loader:
loader.open(self)
def _load(self):
return _handler
def _save(im, fp, filename):
if _handler is None or not hasattr("_handler", "save"):
raise IOError("GRIB save handler not installed")
_handler.save(im, fp, filename)
# --------------------------------------------------------------------
# Registry
Image.register_open(GribStubImageFile.format, GribStubImageFile, _accept)
Image.register_save(GribStubImageFile.format, _save)
Image.register_extension(GribStubImageFile.format, ".grib")
#
# The Python Imaging Library
# $Id$
#
# HDF5 stub adapter
#
# Copyright (c) 2000-2003 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from . import Image, ImageFile
_handler = None
def register_handler(handler):
"""
Install application-specific HDF5 image handler.
:param handler: Handler object.
"""
global _handler
_handler = handler
# --------------------------------------------------------------------
# Image adapter
def _accept(prefix):
return prefix[:8] == b"\x89HDF\r\n\x1a\n"
class HDF5StubImageFile(ImageFile.StubImageFile):
format = "HDF5"
format_description = "HDF5"
def _open(self):
offset = self.fp.tell()
if not _accept(self.fp.read(8)):
raise SyntaxError("Not an HDF file")
self.fp.seek(offset)
# make something up
self.mode = "F"
self._size = 1, 1
loader = self._load()
if loader:
loader.open(self)
def _load(self):
return _handler
def _save(im, fp, filename):
if _handler is None or not hasattr("_handler", "save"):
raise IOError("HDF5 save handler not installed")
_handler.save(im, fp, filename)
# --------------------------------------------------------------------
# Registry
Image.register_open(HDF5StubImageFile.format, HDF5StubImageFile, _accept)
Image.register_save(HDF5StubImageFile.format, _save)
Image.register_extensions(HDF5StubImageFile.format, [".h5", ".hdf"])
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#
# The Python Imaging Library.
# $Id$
#
# Windows Icon support for PIL
#
# History:
# 96-05-27 fl Created
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
# This plugin is a refactored version of Win32IconImagePlugin by Bryan Davis
# <casadebender@gmail.com>.
# https://code.google.com/archive/p/casadebender/wikis/Win32IconImagePlugin.wiki
#
# Icon format references:
# * https://en.wikipedia.org/wiki/ICO_(file_format)
# * https://msdn.microsoft.com/en-us/library/ms997538.aspx
import struct
import warnings
from io import BytesIO
from math import ceil, log
from . import BmpImagePlugin, Image, ImageFile, PngImagePlugin
from ._binary import i8, i16le as i16, i32le as i32
# __version__ is deprecated and will be removed in a future version. Use
# PIL.__version__ instead.
__version__ = "0.1"
#
# --------------------------------------------------------------------
_MAGIC = b"\0\0\1\0"
def _save(im, fp, filename):
fp.write(_MAGIC) # (2+2)
sizes = im.encoderinfo.get(
"sizes",
[(16, 16), (24, 24), (32, 32), (48, 48), (64, 64), (128, 128), (256, 256)],
)
width, height = im.size
sizes = filter(
lambda x: False
if (x[0] > width or x[1] > height or x[0] > 256 or x[1] > 256)
else True,
sizes,
)
sizes = list(sizes)
fp.write(struct.pack("<H", len(sizes))) # idCount(2)
offset = fp.tell() + len(sizes) * 16
for size in sizes:
width, height = size
# 0 means 256
fp.write(struct.pack("B", width if width < 256 else 0)) # bWidth(1)
fp.write(struct.pack("B", height if height < 256 else 0)) # bHeight(1)
fp.write(b"\0") # bColorCount(1)
fp.write(b"\0") # bReserved(1)
fp.write(b"\0\0") # wPlanes(2)
fp.write(struct.pack("<H", 32)) # wBitCount(2)
image_io = BytesIO()
tmp = im.copy()
tmp.thumbnail(size, Image.LANCZOS)
tmp.save(image_io, "png")
image_io.seek(0)
image_bytes = image_io.read()
bytes_len = len(image_bytes)
fp.write(struct.pack("<I", bytes_len)) # dwBytesInRes(4)
fp.write(struct.pack("<I", offset)) # dwImageOffset(4)
current = fp.tell()
fp.seek(offset)
fp.write(image_bytes)
offset = offset + bytes_len
fp.seek(current)
def _accept(prefix):
return prefix[:4] == _MAGIC
class IcoFile(object):
def __init__(self, buf):
"""
Parse image from file-like object containing ico file data
"""
# check magic
s = buf.read(6)
if not _accept(s):
raise SyntaxError("not an ICO file")
self.buf = buf
self.entry = []
# Number of items in file
self.nb_items = i16(s[4:])
# Get headers for each item
for i in range(self.nb_items):
s = buf.read(16)
icon_header = {
"width": i8(s[0]),
"height": i8(s[1]),
"nb_color": i8(s[2]), # No. of colors in image (0 if >=8bpp)
"reserved": i8(s[3]),
"planes": i16(s[4:]),
"bpp": i16(s[6:]),
"size": i32(s[8:]),
"offset": i32(s[12:]),
}
# See Wikipedia
for j in ("width", "height"):
if not icon_header[j]:
icon_header[j] = 256
# See Wikipedia notes about color depth.
# We need this just to differ images with equal sizes
icon_header["color_depth"] = (
icon_header["bpp"]
or (
icon_header["nb_color"] != 0
and ceil(log(icon_header["nb_color"], 2))
)
or 256
)
icon_header["dim"] = (icon_header["width"], icon_header["height"])
icon_header["square"] = icon_header["width"] * icon_header["height"]
self.entry.append(icon_header)
self.entry = sorted(self.entry, key=lambda x: x["color_depth"])
# ICO images are usually squares
# self.entry = sorted(self.entry, key=lambda x: x['width'])
self.entry = sorted(self.entry, key=lambda x: x["square"])
self.entry.reverse()
def sizes(self):
"""
Get a list of all available icon sizes and color depths.
"""
return {(h["width"], h["height"]) for h in self.entry}
def getentryindex(self, size, bpp=False):
for (i, h) in enumerate(self.entry):
if size == h["dim"] and (bpp is False or bpp == h["color_depth"]):
return i
return 0
def getimage(self, size, bpp=False):
"""
Get an image from the icon
"""
return self.frame(self.getentryindex(size, bpp))
def frame(self, idx):
"""
Get an image from frame idx
"""
header = self.entry[idx]
self.buf.seek(header["offset"])
data = self.buf.read(8)
self.buf.seek(header["offset"])
if data[:8] == PngImagePlugin._MAGIC:
# png frame
im = PngImagePlugin.PngImageFile(self.buf)
else:
# XOR + AND mask bmp frame
im = BmpImagePlugin.DibImageFile(self.buf)
Image._decompression_bomb_check(im.size)
# change tile dimension to only encompass XOR image
im._size = (im.size[0], int(im.size[1] / 2))
d, e, o, a = im.tile[0]
im.tile[0] = d, (0, 0) + im.size, o, a
# figure out where AND mask image starts
mode = a[0]
bpp = 8
for k, v in BmpImagePlugin.BIT2MODE.items():
if mode == v[1]:
bpp = k
break
if 32 == bpp:
# 32-bit color depth icon image allows semitransparent areas
# PIL's DIB format ignores transparency bits, recover them.
# The DIB is packed in BGRX byte order where X is the alpha
# channel.
# Back up to start of bmp data
self.buf.seek(o)
# extract every 4th byte (eg. 3,7,11,15,...)
alpha_bytes = self.buf.read(im.size[0] * im.size[1] * 4)[3::4]
# convert to an 8bpp grayscale image
mask = Image.frombuffer(
"L", # 8bpp
im.size, # (w, h)
alpha_bytes, # source chars
"raw", # raw decoder
("L", 0, -1), # 8bpp inverted, unpadded, reversed
)
else:
# get AND image from end of bitmap
w = im.size[0]
if (w % 32) > 0:
# bitmap row data is aligned to word boundaries
w += 32 - (im.size[0] % 32)
# the total mask data is
# padded row size * height / bits per char
and_mask_offset = o + int(im.size[0] * im.size[1] * (bpp / 8.0))
total_bytes = int((w * im.size[1]) / 8)
self.buf.seek(and_mask_offset)
mask_data = self.buf.read(total_bytes)
# convert raw data to image
mask = Image.frombuffer(
"1", # 1 bpp
im.size, # (w, h)
mask_data, # source chars
"raw", # raw decoder
("1;I", int(w / 8), -1), # 1bpp inverted, padded, reversed
)
# now we have two images, im is XOR image and mask is AND image
# apply mask image as alpha channel
im = im.convert("RGBA")
im.putalpha(mask)
return im
##
# Image plugin for Windows Icon files.
class IcoImageFile(ImageFile.ImageFile):
"""
PIL read-only image support for Microsoft Windows .ico files.
By default the largest resolution image in the file will be loaded. This
can be changed by altering the 'size' attribute before calling 'load'.
The info dictionary has a key 'sizes' that is a list of the sizes available
in the icon file.
Handles classic, XP and Vista icon formats.
When saving, PNG compression is used. Support for this was only added in
Windows Vista.
This plugin is a refactored version of Win32IconImagePlugin by Bryan Davis
<casadebender@gmail.com>.
https://code.google.com/archive/p/casadebender/wikis/Win32IconImagePlugin.wiki
"""
format = "ICO"
format_description = "Windows Icon"
def _open(self):
self.ico = IcoFile(self.fp)
self.info["sizes"] = self.ico.sizes()
self.size = self.ico.entry[0]["dim"]
self.load()
@property
def size(self):
return self._size
@size.setter
def size(self, value):
if value not in self.info["sizes"]:
raise ValueError("This is not one of the allowed sizes of this image")
self._size = value
def load(self):
if self.im and self.im.size == self.size:
# Already loaded
return
im = self.ico.getimage(self.size)
# if tile is PNG, it won't really be loaded yet
im.load()
self.im = im.im
self.mode = im.mode
if im.size != self.size:
warnings.warn("Image was not the expected size")
index = self.ico.getentryindex(self.size)
sizes = list(self.info["sizes"])
sizes[index] = im.size
self.info["sizes"] = set(sizes)
self.size = im.size
def load_seek(self):
# Flag the ImageFile.Parser so that it
# just does all the decode at the end.
pass
#
# --------------------------------------------------------------------
Image.register_open(IcoImageFile.format, IcoImageFile, _accept)
Image.register_save(IcoImageFile.format, _save)
Image.register_extension(IcoImageFile.format, ".ico")
Image.register_mime(IcoImageFile.format, "image/x-icon")
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#
# The Python Imaging Library.
# $Id$
#
# standard channel operations
#
# History:
# 1996-03-24 fl Created
# 1996-08-13 fl Added logical operations (for "1" images)
# 2000-10-12 fl Added offset method (from Image.py)
#
# Copyright (c) 1997-2000 by Secret Labs AB
# Copyright (c) 1996-2000 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from . import Image
def constant(image, value):
"""Fill a channel with a given grey level.
:rtype: :py:class:`~PIL.Image.Image`
"""
return Image.new("L", image.size, value)
def duplicate(image):
"""Copy a channel. Alias for :py:meth:`PIL.Image.Image.copy`.
:rtype: :py:class:`~PIL.Image.Image`
"""
return image.copy()
def invert(image):
"""
Invert an image (channel).
.. code-block:: python
out = MAX - image
:rtype: :py:class:`~PIL.Image.Image`
"""
image.load()
return image._new(image.im.chop_invert())
def lighter(image1, image2):
"""
Compares the two images, pixel by pixel, and returns a new image containing
the lighter values. At least one of the images must have mode "1".
.. code-block:: python
out = max(image1, image2)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_lighter(image2.im))
def darker(image1, image2):
"""
Compares the two images, pixel by pixel, and returns a new image containing
the darker values. At least one of the images must have mode "1".
.. code-block:: python
out = min(image1, image2)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_darker(image2.im))
def difference(image1, image2):
"""
Returns the absolute value of the pixel-by-pixel difference between the two
images. At least one of the images must have mode "1".
.. code-block:: python
out = abs(image1 - image2)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_difference(image2.im))
def multiply(image1, image2):
"""
Superimposes two images on top of each other.
If you multiply an image with a solid black image, the result is black. If
you multiply with a solid white image, the image is unaffected. At least
one of the images must have mode "1".
.. code-block:: python
out = image1 * image2 / MAX
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_multiply(image2.im))
def screen(image1, image2):
"""
Superimposes two inverted images on top of each other. At least one of the
images must have mode "1".
.. code-block:: python
out = MAX - ((MAX - image1) * (MAX - image2) / MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_screen(image2.im))
def add(image1, image2, scale=1.0, offset=0):
"""
Adds two images, dividing the result by scale and adding the
offset. If omitted, scale defaults to 1.0, and offset to 0.0.
At least one of the images must have mode "1".
.. code-block:: python
out = ((image1 + image2) / scale + offset)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_add(image2.im, scale, offset))
def subtract(image1, image2, scale=1.0, offset=0):
"""
Subtracts two images, dividing the result by scale and adding the offset.
If omitted, scale defaults to 1.0, and offset to 0.0. At least one of the
images must have mode "1".
.. code-block:: python
out = ((image1 - image2) / scale + offset)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_subtract(image2.im, scale, offset))
def add_modulo(image1, image2):
"""Add two images, without clipping the result. At least one of the images
must have mode "1".
.. code-block:: python
out = ((image1 + image2) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_add_modulo(image2.im))
def subtract_modulo(image1, image2):
"""Subtract two images, without clipping the result. At least one of the
images must have mode "1".
.. code-block:: python
out = ((image1 - image2) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_subtract_modulo(image2.im))
def logical_and(image1, image2):
"""Logical AND between two images. At least one of the images must have
mode "1".
.. code-block:: python
out = ((image1 and image2) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_and(image2.im))
def logical_or(image1, image2):
"""Logical OR between two images. At least one of the images must have
mode "1".
.. code-block:: python
out = ((image1 or image2) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_or(image2.im))
def logical_xor(image1, image2):
"""Logical XOR between two images. At least one of the images must have
mode "1".
.. code-block:: python
out = ((bool(image1) != bool(image2)) % MAX)
:rtype: :py:class:`~PIL.Image.Image`
"""
image1.load()
image2.load()
return image1._new(image1.im.chop_xor(image2.im))
def blend(image1, image2, alpha):
"""Blend images using constant transparency weight. Alias for
:py:meth:`PIL.Image.Image.blend`.
:rtype: :py:class:`~PIL.Image.Image`
"""
return Image.blend(image1, image2, alpha)
def composite(image1, image2, mask):
"""Create composite using transparency mask. Alias for
:py:meth:`PIL.Image.Image.composite`.
:rtype: :py:class:`~PIL.Image.Image`
"""
return Image.composite(image1, image2, mask)
def offset(image, xoffset, yoffset=None):
"""Returns a copy of the image where data has been offset by the given
distances. Data wraps around the edges. If **yoffset** is omitted, it
is assumed to be equal to **xoffset**.
:param xoffset: The horizontal distance.
:param yoffset: The vertical distance. If omitted, both
distances are set to the same value.
:rtype: :py:class:`~PIL.Image.Image`
"""
if yoffset is None:
yoffset = xoffset
image.load()
return image._new(image.im.offset(xoffset, yoffset))
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#
# The Python Imaging Library
# $Id$
#
# map CSS3-style colour description strings to RGB
#
# History:
# 2002-10-24 fl Added support for CSS-style color strings
# 2002-12-15 fl Added RGBA support
# 2004-03-27 fl Fixed remaining int() problems for Python 1.5.2
# 2004-07-19 fl Fixed gray/grey spelling issues
# 2009-03-05 fl Fixed rounding error in grayscale calculation
#
# Copyright (c) 2002-2004 by Secret Labs AB
# Copyright (c) 2002-2004 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
import re
from . import Image
def getrgb(color):
"""
Convert a color string to an RGB tuple. If the string cannot be parsed,
this function raises a :py:exc:`ValueError` exception.
.. versionadded:: 1.1.4
:param color: A color string
:return: ``(red, green, blue[, alpha])``
"""
color = color.lower()
rgb = colormap.get(color, None)
if rgb:
if isinstance(rgb, tuple):
return rgb
colormap[color] = rgb = getrgb(rgb)
return rgb
# check for known string formats
if re.match("#[a-f0-9]{3}$", color):
return (int(color[1] * 2, 16), int(color[2] * 2, 16), int(color[3] * 2, 16))
if re.match("#[a-f0-9]{4}$", color):
return (
int(color[1] * 2, 16),
int(color[2] * 2, 16),
int(color[3] * 2, 16),
int(color[4] * 2, 16),
)
if re.match("#[a-f0-9]{6}$", color):
return (int(color[1:3], 16), int(color[3:5], 16), int(color[5:7], 16))
if re.match("#[a-f0-9]{8}$", color):
return (
int(color[1:3], 16),
int(color[3:5], 16),
int(color[5:7], 16),
int(color[7:9], 16),
)
m = re.match(r"rgb\(\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*\)$", color)
if m:
return (int(m.group(1)), int(m.group(2)), int(m.group(3)))
m = re.match(r"rgb\(\s*(\d+)%\s*,\s*(\d+)%\s*,\s*(\d+)%\s*\)$", color)
if m:
return (
int((int(m.group(1)) * 255) / 100.0 + 0.5),
int((int(m.group(2)) * 255) / 100.0 + 0.5),
int((int(m.group(3)) * 255) / 100.0 + 0.5),
)
m = re.match(
r"hsl\(\s*(\d+\.?\d*)\s*,\s*(\d+\.?\d*)%\s*,\s*(\d+\.?\d*)%\s*\)$", color
)
if m:
from colorsys import hls_to_rgb
rgb = hls_to_rgb(
float(m.group(1)) / 360.0,
float(m.group(3)) / 100.0,
float(m.group(2)) / 100.0,
)
return (
int(rgb[0] * 255 + 0.5),
int(rgb[1] * 255 + 0.5),
int(rgb[2] * 255 + 0.5),
)
m = re.match(
r"hs[bv]\(\s*(\d+\.?\d*)\s*,\s*(\d+\.?\d*)%\s*,\s*(\d+\.?\d*)%\s*\)$", color
)
if m:
from colorsys import hsv_to_rgb
rgb = hsv_to_rgb(
float(m.group(1)) / 360.0,
float(m.group(2)) / 100.0,
float(m.group(3)) / 100.0,
)
return (
int(rgb[0] * 255 + 0.5),
int(rgb[1] * 255 + 0.5),
int(rgb[2] * 255 + 0.5),
)
m = re.match(r"rgba\(\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*\)$", color)
if m:
return (int(m.group(1)), int(m.group(2)), int(m.group(3)), int(m.group(4)))
raise ValueError("unknown color specifier: %r" % color)
def getcolor(color, mode):
"""
Same as :py:func:`~PIL.ImageColor.getrgb`, but converts the RGB value to a
greyscale value if the mode is not color or a palette image. If the string
cannot be parsed, this function raises a :py:exc:`ValueError` exception.
.. versionadded:: 1.1.4
:param color: A color string
:return: ``(graylevel [, alpha]) or (red, green, blue[, alpha])``
"""
# same as getrgb, but converts the result to the given mode
color, alpha = getrgb(color), 255
if len(color) == 4:
color, alpha = color[0:3], color[3]
if Image.getmodebase(mode) == "L":
r, g, b = color
color = (r * 299 + g * 587 + b * 114) // 1000
if mode[-1] == "A":
return (color, alpha)
else:
if mode[-1] == "A":
return color + (alpha,)
return color
colormap = {
# X11 colour table from https://drafts.csswg.org/css-color-4/, with
# gray/grey spelling issues fixed. This is a superset of HTML 4.0
# colour names used in CSS 1.
"aliceblue": "#f0f8ff",
"antiquewhite": "#faebd7",
"aqua": "#00ffff",
"aquamarine": "#7fffd4",
"azure": "#f0ffff",
"beige": "#f5f5dc",
"bisque": "#ffe4c4",
"black": "#000000",
"blanchedalmond": "#ffebcd",
"blue": "#0000ff",
"blueviolet": "#8a2be2",
"brown": "#a52a2a",
"burlywood": "#deb887",
"cadetblue": "#5f9ea0",
"chartreuse": "#7fff00",
"chocolate": "#d2691e",
"coral": "#ff7f50",
"cornflowerblue": "#6495ed",
"cornsilk": "#fff8dc",
"crimson": "#dc143c",
"cyan": "#00ffff",
"darkblue": "#00008b",
"darkcyan": "#008b8b",
"darkgoldenrod": "#b8860b",
"darkgray": "#a9a9a9",
"darkgrey": "#a9a9a9",
"darkgreen": "#006400",
"darkkhaki": "#bdb76b",
"darkmagenta": "#8b008b",
"darkolivegreen": "#556b2f",
"darkorange": "#ff8c00",
"darkorchid": "#9932cc",
"darkred": "#8b0000",
"darksalmon": "#e9967a",
"darkseagreen": "#8fbc8f",
"darkslateblue": "#483d8b",
"darkslategray": "#2f4f4f",
"darkslategrey": "#2f4f4f",
"darkturquoise": "#00ced1",
"darkviolet": "#9400d3",
"deeppink": "#ff1493",
"deepskyblue": "#00bfff",
"dimgray": "#696969",
"dimgrey": "#696969",
"dodgerblue": "#1e90ff",
"firebrick": "#b22222",
"floralwhite": "#fffaf0",
"forestgreen": "#228b22",
"fuchsia": "#ff00ff",
"gainsboro": "#dcdcdc",
"ghostwhite": "#f8f8ff",
"gold": "#ffd700",
"goldenrod": "#daa520",
"gray": "#808080",
"grey": "#808080",
"green": "#008000",
"greenyellow": "#adff2f",
"honeydew": "#f0fff0",
"hotpink": "#ff69b4",
"indianred": "#cd5c5c",
"indigo": "#4b0082",
"ivory": "#fffff0",
"khaki": "#f0e68c",
"lavender": "#e6e6fa",
"lavenderblush": "#fff0f5",
"lawngreen": "#7cfc00",
"lemonchiffon": "#fffacd",
"lightblue": "#add8e6",
"lightcoral": "#f08080",
"lightcyan": "#e0ffff",
"lightgoldenrodyellow": "#fafad2",
"lightgreen": "#90ee90",
"lightgray": "#d3d3d3",
"lightgrey": "#d3d3d3",
"lightpink": "#ffb6c1",
"lightsalmon": "#ffa07a",
"lightseagreen": "#20b2aa",
"lightskyblue": "#87cefa",
"lightslategray": "#778899",
"lightslategrey": "#778899",
"lightsteelblue": "#b0c4de",
"lightyellow": "#ffffe0",
"lime": "#00ff00",
"limegreen": "#32cd32",
"linen": "#faf0e6",
"magenta": "#ff00ff",
"maroon": "#800000",
"mediumaquamarine": "#66cdaa",
"mediumblue": "#0000cd",
"mediumorchid": "#ba55d3",
"mediumpurple": "#9370db",
"mediumseagreen": "#3cb371",
"mediumslateblue": "#7b68ee",
"mediumspringgreen": "#00fa9a",
"mediumturquoise": "#48d1cc",
"mediumvioletred": "#c71585",
"midnightblue": "#191970",
"mintcream": "#f5fffa",
"mistyrose": "#ffe4e1",
"moccasin": "#ffe4b5",
"navajowhite": "#ffdead",
"navy": "#000080",
"oldlace": "#fdf5e6",
"olive": "#808000",
"olivedrab": "#6b8e23",
"orange": "#ffa500",
"orangered": "#ff4500",
"orchid": "#da70d6",
"palegoldenrod": "#eee8aa",
"palegreen": "#98fb98",
"paleturquoise": "#afeeee",
"palevioletred": "#db7093",
"papayawhip": "#ffefd5",
"peachpuff": "#ffdab9",
"peru": "#cd853f",
"pink": "#ffc0cb",
"plum": "#dda0dd",
"powderblue": "#b0e0e6",
"purple": "#800080",
"rebeccapurple": "#663399",
"red": "#ff0000",
"rosybrown": "#bc8f8f",
"royalblue": "#4169e1",
"saddlebrown": "#8b4513",
"salmon": "#fa8072",
"sandybrown": "#f4a460",
"seagreen": "#2e8b57",
"seashell": "#fff5ee",
"sienna": "#a0522d",
"silver": "#c0c0c0",
"skyblue": "#87ceeb",
"slateblue": "#6a5acd",
"slategray": "#708090",
"slategrey": "#708090",
"snow": "#fffafa",
"springgreen": "#00ff7f",
"steelblue": "#4682b4",
"tan": "#d2b48c",
"teal": "#008080",
"thistle": "#d8bfd8",
"tomato": "#ff6347",
"turquoise": "#40e0d0",
"violet": "#ee82ee",
"wheat": "#f5deb3",
"white": "#ffffff",
"whitesmoke": "#f5f5f5",
"yellow": "#ffff00",
"yellowgreen": "#9acd32",
}
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#
# The Python Imaging Library
# $Id$
#
# WCK-style drawing interface operations
#
# History:
# 2003-12-07 fl created
# 2005-05-15 fl updated; added to PIL as ImageDraw2
# 2005-05-15 fl added text support
# 2005-05-20 fl added arc/chord/pieslice support
#
# Copyright (c) 2003-2005 by Secret Labs AB
# Copyright (c) 2003-2005 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from . import Image, ImageColor, ImageDraw, ImageFont, ImagePath
class Pen(object):
def __init__(self, color, width=1, opacity=255):
self.color = ImageColor.getrgb(color)
self.width = width
class Brush(object):
def __init__(self, color, opacity=255):
self.color = ImageColor.getrgb(color)
class Font(object):
def __init__(self, color, file, size=12):
# FIXME: add support for bitmap fonts
self.color = ImageColor.getrgb(color)
self.font = ImageFont.truetype(file, size)
class Draw(object):
def __init__(self, image, size=None, color=None):
if not hasattr(image, "im"):
image = Image.new(image, size, color)
self.draw = ImageDraw.Draw(image)
self.image = image
self.transform = None
def flush(self):
return self.image
def render(self, op, xy, pen, brush=None):
# handle color arguments
outline = fill = None
width = 1
if isinstance(pen, Pen):
outline = pen.color
width = pen.width
elif isinstance(brush, Pen):
outline = brush.color
width = brush.width
if isinstance(brush, Brush):
fill = brush.color
elif isinstance(pen, Brush):
fill = pen.color
# handle transformation
if self.transform:
xy = ImagePath.Path(xy)
xy.transform(self.transform)
# render the item
if op == "line":
self.draw.line(xy, fill=outline, width=width)
else:
getattr(self.draw, op)(xy, fill=fill, outline=outline)
def settransform(self, offset):
(xoffset, yoffset) = offset
self.transform = (1, 0, xoffset, 0, 1, yoffset)
def arc(self, xy, start, end, *options):
self.render("arc", xy, start, end, *options)
def chord(self, xy, start, end, *options):
self.render("chord", xy, start, end, *options)
def ellipse(self, xy, *options):
self.render("ellipse", xy, *options)
def line(self, xy, *options):
self.render("line", xy, *options)
def pieslice(self, xy, start, end, *options):
self.render("pieslice", xy, start, end, *options)
def polygon(self, xy, *options):
self.render("polygon", xy, *options)
def rectangle(self, xy, *options):
self.render("rectangle", xy, *options)
def text(self, xy, text, font):
if self.transform:
xy = ImagePath.Path(xy)
xy.transform(self.transform)
self.draw.text(xy, text, font=font.font, fill=font.color)
def textsize(self, text, font):
return self.draw.textsize(text, font=font.font)
#
# The Python Imaging Library.
# $Id$
#
# image enhancement classes
#
# For a background, see "Image Processing By Interpolation and
# Extrapolation", Paul Haeberli and Douglas Voorhies. Available
# at http://www.graficaobscura.com/interp/index.html
#
# History:
# 1996-03-23 fl Created
# 2009-06-16 fl Fixed mean calculation
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
from . import Image, ImageFilter, ImageStat
class _Enhance(object):
def enhance(self, factor):
"""
Returns an enhanced image.
:param factor: A floating point value controlling the enhancement.
Factor 1.0 always returns a copy of the original image,
lower factors mean less color (brightness, contrast,
etc), and higher values more. There are no restrictions
on this value.
:rtype: :py:class:`~PIL.Image.Image`
"""
return Image.blend(self.degenerate, self.image, factor)
class Color(_Enhance):
"""Adjust image color balance.
This class can be used to adjust the colour balance of an image, in
a manner similar to the controls on a colour TV set. An enhancement
factor of 0.0 gives a black and white image. A factor of 1.0 gives
the original image.
"""
def __init__(self, image):
self.image = image
self.intermediate_mode = "L"
if "A" in image.getbands():
self.intermediate_mode = "LA"
self.degenerate = image.convert(self.intermediate_mode).convert(image.mode)
class Contrast(_Enhance):
"""Adjust image contrast.
This class can be used to control the contrast of an image, similar
to the contrast control on a TV set. An enhancement factor of 0.0
gives a solid grey image. A factor of 1.0 gives the original image.
"""
def __init__(self, image):
self.image = image
mean = int(ImageStat.Stat(image.convert("L")).mean[0] + 0.5)
self.degenerate = Image.new("L", image.size, mean).convert(image.mode)
if "A" in image.getbands():
self.degenerate.putalpha(image.getchannel("A"))
class Brightness(_Enhance):
"""Adjust image brightness.
This class can be used to control the brightness of an image. An
enhancement factor of 0.0 gives a black image. A factor of 1.0 gives the
original image.
"""
def __init__(self, image):
self.image = image
self.degenerate = Image.new(image.mode, image.size, 0)
if "A" in image.getbands():
self.degenerate.putalpha(image.getchannel("A"))
class Sharpness(_Enhance):
"""Adjust image sharpness.
This class can be used to adjust the sharpness of an image. An
enhancement factor of 0.0 gives a blurred image, a factor of 1.0 gives the
original image, and a factor of 2.0 gives a sharpened image.
"""
def __init__(self, image):
self.image = image
self.degenerate = image.filter(ImageFilter.SMOOTH)
if "A" in image.getbands():
self.degenerate.putalpha(image.getchannel("A"))
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#
# The Python Imaging Library
# $Id$
#
# screen grabber (macOS and Windows only)
#
# History:
# 2001-04-26 fl created
# 2001-09-17 fl use builtin driver, if present
# 2002-11-19 fl added grabclipboard support
#
# Copyright (c) 2001-2002 by Secret Labs AB
# Copyright (c) 2001-2002 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
import sys
from . import Image
if sys.platform == "win32":
grabber = Image.core.grabscreen
elif sys.platform == "darwin":
import os
import tempfile
import subprocess
else:
raise ImportError("ImageGrab is macOS and Windows only")
def grab(bbox=None, include_layered_windows=False, all_screens=False):
if sys.platform == "darwin":
fh, filepath = tempfile.mkstemp(".png")
os.close(fh)
subprocess.call(["screencapture", "-x", filepath])
im = Image.open(filepath)
im.load()
os.unlink(filepath)
if bbox:
im = im.crop(bbox)
else:
offset, size, data = grabber(include_layered_windows, all_screens)
im = Image.frombytes(
"RGB",
size,
data,
# RGB, 32-bit line padding, origin lower left corner
"raw",
"BGR",
(size[0] * 3 + 3) & -4,
-1,
)
if bbox:
x0, y0 = offset
left, top, right, bottom = bbox
im = im.crop((left - x0, top - y0, right - x0, bottom - y0))
return im
def grabclipboard():
if sys.platform == "darwin":
fh, filepath = tempfile.mkstemp(".jpg")
os.close(fh)
commands = [
'set theFile to (open for access POSIX file "'
+ filepath
+ '" with write permission)',
"try",
" write (the clipboard as JPEG picture) to theFile",
"end try",
"close access theFile",
]
script = ["osascript"]
for command in commands:
script += ["-e", command]
subprocess.call(script)
im = None
if os.stat(filepath).st_size != 0:
im = Image.open(filepath)
im.load()
os.unlink(filepath)
return im
else:
data = Image.core.grabclipboard()
if isinstance(data, bytes):
from . import BmpImagePlugin
import io
return BmpImagePlugin.DibImageFile(io.BytesIO(data))
return data
#
# The Python Imaging Library
# $Id$
#
# a simple math add-on for the Python Imaging Library
#
# History:
# 1999-02-15 fl Original PIL Plus release
# 2005-05-05 fl Simplified and cleaned up for PIL 1.1.6
# 2005-09-12 fl Fixed int() and float() for Python 2.4.1
#
# Copyright (c) 1999-2005 by Secret Labs AB
# Copyright (c) 2005 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
from . import Image, _imagingmath
from ._util import py3
try:
import builtins
except ImportError:
import __builtin__
builtins = __builtin__
VERBOSE = 0
def _isconstant(v):
return isinstance(v, (int, float))
class _Operand(object):
"""Wraps an image operand, providing standard operators"""
def __init__(self, im):
self.im = im
def __fixup(self, im1):
# convert image to suitable mode
if isinstance(im1, _Operand):
# argument was an image.
if im1.im.mode in ("1", "L"):
return im1.im.convert("I")
elif im1.im.mode in ("I", "F"):
return im1.im
else:
raise ValueError("unsupported mode: %s" % im1.im.mode)
else:
# argument was a constant
if _isconstant(im1) and self.im.mode in ("1", "L", "I"):
return Image.new("I", self.im.size, im1)
else:
return Image.new("F", self.im.size, im1)
def apply(self, op, im1, im2=None, mode=None):
im1 = self.__fixup(im1)
if im2 is None:
# unary operation
out = Image.new(mode or im1.mode, im1.size, None)
im1.load()
try:
op = getattr(_imagingmath, op + "_" + im1.mode)
except AttributeError:
raise TypeError("bad operand type for '%s'" % op)
_imagingmath.unop(op, out.im.id, im1.im.id)
else:
# binary operation
im2 = self.__fixup(im2)
if im1.mode != im2.mode:
# convert both arguments to floating point
if im1.mode != "F":
im1 = im1.convert("F")
if im2.mode != "F":
im2 = im2.convert("F")
if im1.mode != im2.mode:
raise ValueError("mode mismatch")
if im1.size != im2.size:
# crop both arguments to a common size
size = (min(im1.size[0], im2.size[0]), min(im1.size[1], im2.size[1]))
if im1.size != size:
im1 = im1.crop((0, 0) + size)
if im2.size != size:
im2 = im2.crop((0, 0) + size)
out = Image.new(mode or im1.mode, size, None)
else:
out = Image.new(mode or im1.mode, im1.size, None)
im1.load()
im2.load()
try:
op = getattr(_imagingmath, op + "_" + im1.mode)
except AttributeError:
raise TypeError("bad operand type for '%s'" % op)
_imagingmath.binop(op, out.im.id, im1.im.id, im2.im.id)
return _Operand(out)
# unary operators
def __bool__(self):
# an image is "true" if it contains at least one non-zero pixel
return self.im.getbbox() is not None
if not py3:
# Provide __nonzero__ for pre-Py3k
__nonzero__ = __bool__
del __bool__
def __abs__(self):
return self.apply("abs", self)
def __pos__(self):
return self
def __neg__(self):
return self.apply("neg", self)
# binary operators
def __add__(self, other):
return self.apply("add", self, other)
def __radd__(self, other):
return self.apply("add", other, self)
def __sub__(self, other):
return self.apply("sub", self, other)
def __rsub__(self, other):
return self.apply("sub", other, self)
def __mul__(self, other):
return self.apply("mul", self, other)
def __rmul__(self, other):
return self.apply("mul", other, self)
def __truediv__(self, other):
return self.apply("div", self, other)
def __rtruediv__(self, other):
return self.apply("div", other, self)
def __mod__(self, other):
return self.apply("mod", self, other)
def __rmod__(self, other):
return self.apply("mod", other, self)
def __pow__(self, other):
return self.apply("pow", self, other)
def __rpow__(self, other):
return self.apply("pow", other, self)
if not py3:
# Provide __div__ and __rdiv__ for pre-Py3k
__div__ = __truediv__
__rdiv__ = __rtruediv__
del __truediv__
del __rtruediv__
# bitwise
def __invert__(self):
return self.apply("invert", self)
def __and__(self, other):
return self.apply("and", self, other)
def __rand__(self, other):
return self.apply("and", other, self)
def __or__(self, other):
return self.apply("or", self, other)
def __ror__(self, other):
return self.apply("or", other, self)
def __xor__(self, other):
return self.apply("xor", self, other)
def __rxor__(self, other):
return self.apply("xor", other, self)
def __lshift__(self, other):
return self.apply("lshift", self, other)
def __rshift__(self, other):
return self.apply("rshift", self, other)
# logical
def __eq__(self, other):
return self.apply("eq", self, other)
def __ne__(self, other):
return self.apply("ne", self, other)
def __lt__(self, other):
return self.apply("lt", self, other)
def __le__(self, other):
return self.apply("le", self, other)
def __gt__(self, other):
return self.apply("gt", self, other)
def __ge__(self, other):
return self.apply("ge", self, other)
# conversions
def imagemath_int(self):
return _Operand(self.im.convert("I"))
def imagemath_float(self):
return _Operand(self.im.convert("F"))
# logical
def imagemath_equal(self, other):
return self.apply("eq", self, other, mode="I")
def imagemath_notequal(self, other):
return self.apply("ne", self, other, mode="I")
def imagemath_min(self, other):
return self.apply("min", self, other)
def imagemath_max(self, other):
return self.apply("max", self, other)
def imagemath_convert(self, mode):
return _Operand(self.im.convert(mode))
ops = {}
for k, v in list(globals().items()):
if k[:10] == "imagemath_":
ops[k[10:]] = v
def eval(expression, _dict={}, **kw):
"""
Evaluates an image expression.
:param expression: A string containing a Python-style expression.
:param options: Values to add to the evaluation context. You
can either use a dictionary, or one or more keyword
arguments.
:return: The evaluated expression. This is usually an image object, but can
also be an integer, a floating point value, or a pixel tuple,
depending on the expression.
"""
# build execution namespace
args = ops.copy()
args.update(_dict)
args.update(kw)
for k, v in list(args.items()):
if hasattr(v, "im"):
args[k] = _Operand(v)
out = builtins.eval(expression, args)
try:
return out.im
except AttributeError:
return out
#
# The Python Imaging Library.
# $Id$
#
# standard mode descriptors
#
# History:
# 2006-03-20 fl Added
#
# Copyright (c) 2006 by Secret Labs AB.
# Copyright (c) 2006 by Fredrik Lundh.
#
# See the README file for information on usage and redistribution.
#
# mode descriptor cache
_modes = None
class ModeDescriptor(object):
"""Wrapper for mode strings."""
def __init__(self, mode, bands, basemode, basetype):
self.mode = mode
self.bands = bands
self.basemode = basemode
self.basetype = basetype
def __str__(self):
return self.mode
def getmode(mode):
"""Gets a mode descriptor for the given mode."""
global _modes
if not _modes:
# initialize mode cache
from . import Image
modes = {}
# core modes
for m, (basemode, basetype, bands) in Image._MODEINFO.items():
modes[m] = ModeDescriptor(m, bands, basemode, basetype)
# extra experimental modes
modes["RGBa"] = ModeDescriptor("RGBa", ("R", "G", "B", "a"), "RGB", "L")
modes["LA"] = ModeDescriptor("LA", ("L", "A"), "L", "L")
modes["La"] = ModeDescriptor("La", ("L", "a"), "L", "L")
modes["PA"] = ModeDescriptor("PA", ("P", "A"), "RGB", "L")
# mapping modes
for i16mode in (
"I;16",
"I;16S",
"I;16L",
"I;16LS",
"I;16B",
"I;16BS",
"I;16N",
"I;16NS",
):
modes[i16mode] = ModeDescriptor(i16mode, ("I",), "L", "L")
# set global mode cache atomically
_modes = modes
return _modes[mode]
# A binary morphology add-on for the Python Imaging Library
#
# History:
# 2014-06-04 Initial version.
#
# Copyright (c) 2014 Dov Grobgeld <dov.grobgeld@gmail.com>
from __future__ import print_function
import re
from . import Image, _imagingmorph
LUT_SIZE = 1 << 9
# fmt: off
ROTATION_MATRIX = [
6, 3, 0,
7, 4, 1,
8, 5, 2,
]
MIRROR_MATRIX = [
2, 1, 0,
5, 4, 3,
8, 7, 6,
]
# fmt: on
class LutBuilder(object):
"""A class for building a MorphLut from a descriptive language
The input patterns is a list of a strings sequences like these::
4:(...
.1.
111)->1
(whitespaces including linebreaks are ignored). The option 4
describes a series of symmetry operations (in this case a
4-rotation), the pattern is described by:
- . or X - Ignore
- 1 - Pixel is on
- 0 - Pixel is off
The result of the operation is described after "->" string.
The default is to return the current pixel value, which is
returned if no other match is found.
Operations:
- 4 - 4 way rotation
- N - Negate
- 1 - Dummy op for no other operation (an op must always be given)
- M - Mirroring
Example::
lb = LutBuilder(patterns = ["4:(... .1. 111)->1"])
lut = lb.build_lut()
"""
def __init__(self, patterns=None, op_name=None):
if patterns is not None:
self.patterns = patterns
else:
self.patterns = []
self.lut = None
if op_name is not None:
known_patterns = {
"corner": ["1:(... ... ...)->0", "4:(00. 01. ...)->1"],
"dilation4": ["4:(... .0. .1.)->1"],
"dilation8": ["4:(... .0. .1.)->1", "4:(... .0. ..1)->1"],
"erosion4": ["4:(... .1. .0.)->0"],
"erosion8": ["4:(... .1. .0.)->0", "4:(... .1. ..0)->0"],
"edge": [
"1:(... ... ...)->0",
"4:(.0. .1. ...)->1",
"4:(01. .1. ...)->1",
],
}
if op_name not in known_patterns:
raise Exception("Unknown pattern " + op_name + "!")
self.patterns = known_patterns[op_name]
def add_patterns(self, patterns):
self.patterns += patterns
def build_default_lut(self):
symbols = [0, 1]
m = 1 << 4 # pos of current pixel
self.lut = bytearray(symbols[(i & m) > 0] for i in range(LUT_SIZE))
def get_lut(self):
return self.lut
def _string_permute(self, pattern, permutation):
"""string_permute takes a pattern and a permutation and returns the
string permuted according to the permutation list.
"""
assert len(permutation) == 9
return "".join(pattern[p] for p in permutation)
def _pattern_permute(self, basic_pattern, options, basic_result):
"""pattern_permute takes a basic pattern and its result and clones
the pattern according to the modifications described in the $options
parameter. It returns a list of all cloned patterns."""
patterns = [(basic_pattern, basic_result)]
# rotations
if "4" in options:
res = patterns[-1][1]
for i in range(4):
patterns.append(
(self._string_permute(patterns[-1][0], ROTATION_MATRIX), res)
)
# mirror
if "M" in options:
n = len(patterns)
for pattern, res in patterns[0:n]:
patterns.append((self._string_permute(pattern, MIRROR_MATRIX), res))
# negate
if "N" in options:
n = len(patterns)
for pattern, res in patterns[0:n]:
# Swap 0 and 1
pattern = pattern.replace("0", "Z").replace("1", "0").replace("Z", "1")
res = 1 - int(res)
patterns.append((pattern, res))
return patterns
def build_lut(self):
"""Compile all patterns into a morphology lut.
TBD :Build based on (file) morphlut:modify_lut
"""
self.build_default_lut()
patterns = []
# Parse and create symmetries of the patterns strings
for p in self.patterns:
m = re.search(r"(\w*):?\s*\((.+?)\)\s*->\s*(\d)", p.replace("\n", ""))
if not m:
raise Exception('Syntax error in pattern "' + p + '"')
options = m.group(1)
pattern = m.group(2)
result = int(m.group(3))
# Get rid of spaces
pattern = pattern.replace(" ", "").replace("\n", "")
patterns += self._pattern_permute(pattern, options, result)
# compile the patterns into regular expressions for speed
for i, pattern in enumerate(patterns):
p = pattern[0].replace(".", "X").replace("X", "[01]")
p = re.compile(p)
patterns[i] = (p, pattern[1])
# Step through table and find patterns that match.
# Note that all the patterns are searched. The last one
# caught overrides
for i in range(LUT_SIZE):
# Build the bit pattern
bitpattern = bin(i)[2:]
bitpattern = ("0" * (9 - len(bitpattern)) + bitpattern)[::-1]
for p, r in patterns:
if p.match(bitpattern):
self.lut[i] = [0, 1][r]
return self.lut
class MorphOp(object):
"""A class for binary morphological operators"""
def __init__(self, lut=None, op_name=None, patterns=None):
"""Create a binary morphological operator"""
self.lut = lut
if op_name is not None:
self.lut = LutBuilder(op_name=op_name).build_lut()
elif patterns is not None:
self.lut = LutBuilder(patterns=patterns).build_lut()
def apply(self, image):
"""Run a single morphological operation on an image
Returns a tuple of the number of changed pixels and the
morphed image"""
if self.lut is None:
raise Exception("No operator loaded")
if image.mode != "L":
raise Exception("Image must be binary, meaning it must use mode L")
outimage = Image.new(image.mode, image.size, None)
count = _imagingmorph.apply(bytes(self.lut), image.im.id, outimage.im.id)
return count, outimage
def match(self, image):
"""Get a list of coordinates matching the morphological operation on
an image.
Returns a list of tuples of (x,y) coordinates
of all matching pixels. See :ref:`coordinate-system`."""
if self.lut is None:
raise Exception("No operator loaded")
if image.mode != "L":
raise Exception("Image must be binary, meaning it must use mode L")
return _imagingmorph.match(bytes(self.lut), image.im.id)
def get_on_pixels(self, image):
"""Get a list of all turned on pixels in a binary image
Returns a list of tuples of (x,y) coordinates
of all matching pixels. See :ref:`coordinate-system`."""
if image.mode != "L":
raise Exception("Image must be binary, meaning it must use mode L")
return _imagingmorph.get_on_pixels(image.im.id)
def load_lut(self, filename):
"""Load an operator from an mrl file"""
with open(filename, "rb") as f:
self.lut = bytearray(f.read())
if len(self.lut) != LUT_SIZE:
self.lut = None
raise Exception("Wrong size operator file!")
def save_lut(self, filename):
"""Save an operator to an mrl file"""
if self.lut is None:
raise Exception("No operator loaded")
with open(filename, "wb") as f:
f.write(self.lut)
def set_lut(self, lut):
"""Set the lut from an external source"""
self.lut = lut
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#
# The Python Imaging Library.
# $Id$
#
# image palette object
#
# History:
# 1996-03-11 fl Rewritten.
# 1997-01-03 fl Up and running.
# 1997-08-23 fl Added load hack
# 2001-04-16 fl Fixed randint shadow bug in random()
#
# Copyright (c) 1997-2001 by Secret Labs AB
# Copyright (c) 1996-1997 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
import array
from . import GimpGradientFile, GimpPaletteFile, ImageColor, PaletteFile
class ImagePalette(object):
"""
Color palette for palette mapped images
:param mode: The mode to use for the Palette. See:
:ref:`concept-modes`. Defaults to "RGB"
:param palette: An optional palette. If given, it must be a bytearray,
an array or a list of ints between 0-255 and of length ``size``
times the number of colors in ``mode``. The list must be aligned
by channel (All R values must be contiguous in the list before G
and B values.) Defaults to 0 through 255 per channel.
:param size: An optional palette size. If given, it cannot be equal to
or greater than 256. Defaults to 0.
"""
def __init__(self, mode="RGB", palette=None, size=0):
self.mode = mode
self.rawmode = None # if set, palette contains raw data
self.palette = palette or bytearray(range(256)) * len(self.mode)
self.colors = {}
self.dirty = None
if (size == 0 and len(self.mode) * 256 != len(self.palette)) or (
size != 0 and size != len(self.palette)
):
raise ValueError("wrong palette size")
def copy(self):
new = ImagePalette()
new.mode = self.mode
new.rawmode = self.rawmode
if self.palette is not None:
new.palette = self.palette[:]
new.colors = self.colors.copy()
new.dirty = self.dirty
return new
def getdata(self):
"""
Get palette contents in format suitable for the low-level
``im.putpalette`` primitive.
.. warning:: This method is experimental.
"""
if self.rawmode:
return self.rawmode, self.palette
return self.mode + ";L", self.tobytes()
def tobytes(self):
"""Convert palette to bytes.
.. warning:: This method is experimental.
"""
if self.rawmode:
raise ValueError("palette contains raw palette data")
if isinstance(self.palette, bytes):
return self.palette
arr = array.array("B", self.palette)
if hasattr(arr, "tobytes"):
return arr.tobytes()
return arr.tostring()
# Declare tostring as an alias for tobytes
tostring = tobytes
def getcolor(self, color):
"""Given an rgb tuple, allocate palette entry.
.. warning:: This method is experimental.
"""
if self.rawmode:
raise ValueError("palette contains raw palette data")
if isinstance(color, tuple):
try:
return self.colors[color]
except KeyError:
# allocate new color slot
if isinstance(self.palette, bytes):
self.palette = bytearray(self.palette)
index = len(self.colors)
if index >= 256:
raise ValueError("cannot allocate more than 256 colors")
self.colors[color] = index
self.palette[index] = color[0]
self.palette[index + 256] = color[1]
self.palette[index + 512] = color[2]
self.dirty = 1
return index
else:
raise ValueError("unknown color specifier: %r" % color)
def save(self, fp):
"""Save palette to text file.
.. warning:: This method is experimental.
"""
if self.rawmode:
raise ValueError("palette contains raw palette data")
if isinstance(fp, str):
fp = open(fp, "w")
fp.write("# Palette\n")
fp.write("# Mode: %s\n" % self.mode)
for i in range(256):
fp.write("%d" % i)
for j in range(i * len(self.mode), (i + 1) * len(self.mode)):
try:
fp.write(" %d" % self.palette[j])
except IndexError:
fp.write(" 0")
fp.write("\n")
fp.close()
# --------------------------------------------------------------------
# Internal
def raw(rawmode, data):
palette = ImagePalette()
palette.rawmode = rawmode
palette.palette = data
palette.dirty = 1
return palette
# --------------------------------------------------------------------
# Factories
def make_linear_lut(black, white):
lut = []
if black == 0:
for i in range(256):
lut.append(white * i // 255)
else:
raise NotImplementedError # FIXME
return lut
def make_gamma_lut(exp):
lut = []
for i in range(256):
lut.append(int(((i / 255.0) ** exp) * 255.0 + 0.5))
return lut
def negative(mode="RGB"):
palette = list(range(256))
palette.reverse()
return ImagePalette(mode, palette * len(mode))
def random(mode="RGB"):
from random import randint
palette = []
for i in range(256 * len(mode)):
palette.append(randint(0, 255))
return ImagePalette(mode, palette)
def sepia(white="#fff0c0"):
r, g, b = ImageColor.getrgb(white)
r = make_linear_lut(0, r)
g = make_linear_lut(0, g)
b = make_linear_lut(0, b)
return ImagePalette("RGB", r + g + b)
def wedge(mode="RGB"):
return ImagePalette(mode, list(range(256)) * len(mode))
def load(filename):
# FIXME: supports GIMP gradients only
with open(filename, "rb") as fp:
for paletteHandler in [
GimpPaletteFile.GimpPaletteFile,
GimpGradientFile.GimpGradientFile,
PaletteFile.PaletteFile,
]:
try:
fp.seek(0)
lut = paletteHandler(fp).getpalette()
if lut:
break
except (SyntaxError, ValueError):
# import traceback
# traceback.print_exc()
pass
else:
raise IOError("cannot load palette")
return lut # data, rawmode
#
# The Python Imaging Library
# $Id$
#
# path interface
#
# History:
# 1996-11-04 fl Created
# 2002-04-14 fl Added documentation stub class
#
# Copyright (c) Secret Labs AB 1997.
# Copyright (c) Fredrik Lundh 1996.
#
# See the README file for information on usage and redistribution.
#
from . import Image
Path = Image.core.path
#
# The Python Imaging Library.
# $Id$
#
# a simple Qt image interface.
#
# history:
# 2006-06-03 fl: created
# 2006-06-04 fl: inherit from QImage instead of wrapping it
# 2006-06-05 fl: removed toimage helper; move string support to ImageQt
# 2013-11-13 fl: add support for Qt5 (aurelien.ballier@cyclonit.com)
#
# Copyright (c) 2006 by Secret Labs AB
# Copyright (c) 2006 by Fredrik Lundh
#
# See the README file for information on usage and redistribution.
#
import sys
import warnings
from io import BytesIO
from . import Image
from ._util import isPath, py3
qt_versions = [["5", "PyQt5"], ["side2", "PySide2"], ["4", "PyQt4"], ["side", "PySide"]]
WARNING_TEXT = (
"Support for EOL {} is deprecated and will be removed in a future version. "
"Please upgrade to PyQt5 or PySide2."
)
# If a version has already been imported, attempt it first
qt_versions.sort(key=lambda qt_version: qt_version[1] in sys.modules, reverse=True)
for qt_version, qt_module in qt_versions:
try:
if qt_module == "PyQt5":
from PyQt5.QtGui import QImage, qRgba, QPixmap
from PyQt5.QtCore import QBuffer, QIODevice
elif qt_module == "PySide2":
from PySide2.QtGui import QImage, qRgba, QPixmap
from PySide2.QtCore import QBuffer, QIODevice
elif qt_module == "PyQt4":
from PyQt4.QtGui import QImage, qRgba, QPixmap
from PyQt4.QtCore import QBuffer, QIODevice
warnings.warn(WARNING_TEXT.format(qt_module), DeprecationWarning)
elif qt_module == "PySide":
from PySide.QtGui import QImage, qRgba, QPixmap
from PySide.QtCore import QBuffer, QIODevice
warnings.warn(WARNING_TEXT.format(qt_module), DeprecationWarning)
except (ImportError, RuntimeError):
continue
qt_is_installed = True
break
else:
qt_is_installed = False
qt_version = None
def rgb(r, g, b, a=255):
"""(Internal) Turns an RGB color into a Qt compatible color integer."""
# use qRgb to pack the colors, and then turn the resulting long
# into a negative integer with the same bitpattern.
return qRgba(r, g, b, a) & 0xFFFFFFFF
def fromqimage(im):
"""
:param im: A PIL Image object, or a file name
(given either as Python string or a PyQt string object)
"""
buffer = QBuffer()
buffer.open(QIODevice.ReadWrite)
# preserve alpha channel with png
# otherwise ppm is more friendly with Image.open
if im.hasAlphaChannel():
im.save(buffer, "png")
else:
im.save(buffer, "ppm")
b = BytesIO()
try:
b.write(buffer.data())
except TypeError:
# workaround for Python 2
b.write(str(buffer.data()))
buffer.close()
b.seek(0)
return Image.open(b)
def fromqpixmap(im):
return fromqimage(im)
# buffer = QBuffer()
# buffer.open(QIODevice.ReadWrite)
# # im.save(buffer)
# # What if png doesn't support some image features like animation?
# im.save(buffer, 'ppm')
# bytes_io = BytesIO()
# bytes_io.write(buffer.data())
# buffer.close()
# bytes_io.seek(0)
# return Image.open(bytes_io)
def align8to32(bytes, width, mode):
"""
converts each scanline of data from 8 bit to 32 bit aligned
"""
bits_per_pixel = {"1": 1, "L": 8, "P": 8}[mode]
# calculate bytes per line and the extra padding if needed
bits_per_line = bits_per_pixel * width
full_bytes_per_line, remaining_bits_per_line = divmod(bits_per_line, 8)
bytes_per_line = full_bytes_per_line + (1 if remaining_bits_per_line else 0)
extra_padding = -bytes_per_line % 4
# already 32 bit aligned by luck
if not extra_padding:
return bytes
new_data = []
for i in range(len(bytes) // bytes_per_line):
new_data.append(
bytes[i * bytes_per_line : (i + 1) * bytes_per_line]
+ b"\x00" * extra_padding
)
return b"".join(new_data)
def _toqclass_helper(im):
data = None
colortable = None
# handle filename, if given instead of image name
if hasattr(im, "toUtf8"):
# FIXME - is this really the best way to do this?
if py3:
im = str(im.toUtf8(), "utf-8")
else:
im = unicode(im.toUtf8(), "utf-8") # noqa: F821
if isPath(im):
im = Image.open(im)
if im.mode == "1":
format = QImage.Format_Mono
elif im.mode == "L":
format = QImage.Format_Indexed8
colortable = []
for i in range(256):
colortable.append(rgb(i, i, i))
elif im.mode == "P":
format = QImage.Format_Indexed8
colortable = []
palette = im.getpalette()
for i in range(0, len(palette), 3):
colortable.append(rgb(*palette[i : i + 3]))
elif im.mode == "RGB":
data = im.tobytes("raw", "BGRX")
format = QImage.Format_RGB32
elif im.mode == "RGBA":
try:
data = im.tobytes("raw", "BGRA")
except SystemError:
# workaround for earlier versions
r, g, b, a = im.split()
im = Image.merge("RGBA", (b, g, r, a))
format = QImage.Format_ARGB32
else:
raise ValueError("unsupported image mode %r" % im.mode)
__data = data or align8to32(im.tobytes(), im.size[0], im.mode)
return {"data": __data, "im": im, "format": format, "colortable": colortable}
if qt_is_installed:
class ImageQt(QImage):
def __init__(self, im):
"""
An PIL image wrapper for Qt. This is a subclass of PyQt's QImage
class.
:param im: A PIL Image object, or a file name (given either as
Python string or a PyQt string object).
"""
im_data = _toqclass_helper(im)
# must keep a reference, or Qt will crash!
# All QImage constructors that take data operate on an existing
# buffer, so this buffer has to hang on for the life of the image.
# Fixes https://github.com/python-pillow/Pillow/issues/1370
self.__data = im_data["data"]
QImage.__init__(
self,
self.__data,
im_data["im"].size[0],
im_data["im"].size[1],
im_data["format"],
)
if im_data["colortable"]:
self.setColorTable(im_data["colortable"])
def toqimage(im):
return ImageQt(im)
def toqpixmap(im):
# # This doesn't work. For now using a dumb approach.
# im_data = _toqclass_helper(im)
# result = QPixmap(im_data['im'].size[0], im_data['im'].size[1])
# result.loadFromData(im_data['data'])
# Fix some strange bug that causes
if im.mode == "RGB":
im = im.convert("RGBA")
qimage = toqimage(im)
return QPixmap.fromImage(qimage)
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