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Date
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__pycache__
[ DIR ]
drwxr-sr-x
2025-04-10 17:07
BdfFontFile.py
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BlpImagePlugin.py
13.96
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BmpImagePlugin.py
14.04
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BufrStubImagePlugin.py
1.48
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ContainerIO.py
2.82
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CurImagePlugin.py
1.64
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DcxImagePlugin.py
2.09
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DdsImagePlugin.py
5.34
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EpsImagePlugin.py
11.84
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ExifTags.py
8.8
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FitsStubImagePlugin.py
1.59
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FliImagePlugin.py
4.17
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FontFile.py
2.7
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FpxImagePlugin.py
6.51
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FtexImagePlugin.py
3.23
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GbrImagePlugin.py
2.74
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GdImageFile.py
2.43
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GifImagePlugin.py
28.2
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GimpGradientFile.py
3.27
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GimpPaletteFile.py
1.24
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GribStubImagePlugin.py
1.51
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Hdf5StubImagePlugin.py
1.48
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IcnsImagePlugin.py
11.44
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IcoImagePlugin.py
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ImImagePlugin.py
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Image.py
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ImageChops.py
7.14
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ImageCms.py
35.89
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ImageColor.py
8.43
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ImageDraw.py
18.87
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ImageDraw2.py
4.9
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ImageEnhance.py
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ImageFile.py
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ImageFilter.py
15.51
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ImageFont.py
35.23
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ImageGrab.py
3.54
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ImageMath.py
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ImageMode.py
1.6
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ImageMorph.py
7.71
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ImageOps.py
17.6
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ImagePalette.py
6.2
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ImagePath.py
336
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ImageQt.py
5.66
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ImageSequence.py
1.81
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ImageShow.py
6.21
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ImageStat.py
3.81
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ImageTk.py
9.11
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ImageTransform.py
2.78
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ImageWin.py
7.03
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ImtImagePlugin.py
2.15
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IptcImagePlugin.py
5.54
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Jpeg2KImagePlugin.py
8.52
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JpegImagePlugin.py
27.24
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JpegPresets.py
12.41
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McIdasImagePlugin.py
1.71
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MicImagePlugin.py
2.54
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MpegImagePlugin.py
1.76
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MpoImagePlugin.py
4.14
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MspImagePlugin.py
5.4
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PSDraw.py
6.58
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PaletteFile.py
1.08
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PalmImagePlugin.py
8.88
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PcdImagePlugin.py
1.47
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PcfFontFile.py
6.12
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PcxImagePlugin.py
5.35
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PdfImagePlugin.py
7.4
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PdfParser.py
33.62
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PixarImagePlugin.py
1.61
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PngImagePlugin.py
40.81
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PpmImagePlugin.py
4.35
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PsdImagePlugin.py
7.45
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PyAccess.py
9.37
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SgiImagePlugin.py
5.96
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SpiderImagePlugin.py
9.31
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SunImagePlugin.py
4.2
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TarIO.py
1.41
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TgaImagePlugin.py
6.12
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TiffImagePlugin.py
65.92
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TiffTags.py
14.21
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WalImageFile.py
5.4
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WebPImagePlugin.py
10.54
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WmfImagePlugin.py
4.5
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XVThumbImagePlugin.py
1.9
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XbmImagePlugin.py
2.39
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XpmImagePlugin.py
3
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__init__.py
3.19
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__main__.py
41
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_binary.py
1.75
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_imaging.cpython-35m-x86_64-linux-gnu.so
637.91
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_imagingcms.cpython-35m-x86_64-linux-gnu.so
44.27
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_imagingft.cpython-35m-x86_64-linux-gnu.so
39.9
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_imagingmath.cpython-35m-x86_64-linux-gnu.so
24.43
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_imagingmorph.cpython-35m-x86_64-linux-gnu.so
8.12
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_imagingtk.cpython-35m-x86_64-linux-gnu.so
9.37
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_tkinter_finder.py
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_util.py
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_version.py
50
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_webp.cpython-35m-x86_64-linux-gnu.so
38.5
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-rwxr-xr-x
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features.py
8.62
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2025-04-10 17:07
Save
Rename
# # 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. .. 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. .. 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. .. 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. .. 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. .. 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 soft_light(image1, image2): """ Superimposes two images on top of each other using the Soft Light algorithm :rtype: :py:class:`~PIL.Image.Image` """ image1.load() image2.load() return image1._new(image1.im.chop_soft_light(image2.im)) def hard_light(image1, image2): """ Superimposes two images on top of each other using the Hard Light algorithm :rtype: :py:class:`~PIL.Image.Image` """ image1.load() image2.load() return image1._new(image1.im.chop_hard_light(image2.im)) def overlay(image1, image2): """ Superimposes two images on top of each other using the Overlay algorithm :rtype: :py:class:`~PIL.Image.Image` """ image1.load() image2.load() return image1._new(image1.im.chop_overlay(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. .. 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. .. 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. .. 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. .. 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. Both of the images must have mode "1". If you would like to perform a logical AND on an image with a mode other than "1", try :py:meth:`~PIL.ImageChops.multiply` instead, using a black-and-white mask as the second image. .. 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. Both 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. Both 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))