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Diffstat (limited to 'env/lib/python3.10/site-packages/PIL/ImageChops.py')
| -rw-r--r-- | env/lib/python3.10/site-packages/PIL/ImageChops.py | 329 |
1 files changed, 0 insertions, 329 deletions
diff --git a/env/lib/python3.10/site-packages/PIL/ImageChops.py b/env/lib/python3.10/site-packages/PIL/ImageChops.py deleted file mode 100644 index fec4694..0000000 --- a/env/lib/python3.10/site-packages/PIL/ImageChops.py +++ /dev/null @@ -1,329 +0,0 @@ -# -# 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:func:`PIL.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:func:`PIL.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 image: Input image. - :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)) |