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| from __future__ import annotations
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| from collections.abc import Sequence
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| from typing import Any
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| from . import Image
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| class Transform(Image.ImageTransformHandler):
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| """Base class for other transforms defined in :py:mod:`~PIL.ImageTransform`."""
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| method: Image.Transform
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| def __init__(self, data: Sequence[Any]) -> None:
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| self.data = data
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| def getdata(self) -> tuple[Image.Transform, Sequence[int]]:
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| return self.method, self.data
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| def transform(
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| self,
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| size: tuple[int, int],
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| image: Image.Image,
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| **options: Any,
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| ) -> Image.Image:
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| """Perform the transform. Called from :py:meth:`.Image.transform`."""
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| method, data = self.getdata()
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| return image.transform(size, method, data, **options)
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| class AffineTransform(Transform):
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| """
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| Define an affine image transform.
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| This function takes a 6-tuple (a, b, c, d, e, f) which contain the first
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| two rows from the inverse of an affine transform matrix. For each pixel
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| (x, y) in the output image, the new value is taken from a position (a x +
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| b y + c, d x + e y + f) in the input image, rounded to nearest pixel.
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| This function can be used to scale, translate, rotate, and shear the
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| original image.
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| See :py:meth:`.Image.transform`
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| :param matrix: A 6-tuple (a, b, c, d, e, f) containing the first two rows
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| from the inverse of an affine transform matrix.
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| """
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| method = Image.Transform.AFFINE
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| class PerspectiveTransform(Transform):
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| """
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| Define a perspective image transform.
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| This function takes an 8-tuple (a, b, c, d, e, f, g, h). For each pixel
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| (x, y) in the output image, the new value is taken from a position
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| ((a x + b y + c) / (g x + h y + 1), (d x + e y + f) / (g x + h y + 1)) in
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| the input image, rounded to nearest pixel.
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| This function can be used to scale, translate, rotate, and shear the
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| original image.
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| See :py:meth:`.Image.transform`
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| :param matrix: An 8-tuple (a, b, c, d, e, f, g, h).
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| """
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| method = Image.Transform.PERSPECTIVE
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| class ExtentTransform(Transform):
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| """
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| Define a transform to extract a subregion from an image.
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| Maps a rectangle (defined by two corners) from the image to a rectangle of
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| the given size. The resulting image will contain data sampled from between
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| the corners, such that (x0, y0) in the input image will end up at (0,0) in
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| the output image, and (x1, y1) at size.
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| This method can be used to crop, stretch, shrink, or mirror an arbitrary
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| rectangle in the current image. It is slightly slower than crop, but about
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| as fast as a corresponding resize operation.
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| See :py:meth:`.Image.transform`
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| :param bbox: A 4-tuple (x0, y0, x1, y1) which specifies two points in the
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| input image's coordinate system. See :ref:`coordinate-system`.
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| """
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| method = Image.Transform.EXTENT
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| class QuadTransform(Transform):
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| """
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| Define a quad image transform.
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| Maps a quadrilateral (a region defined by four corners) from the image to a
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| rectangle of the given size.
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| See :py:meth:`.Image.transform`
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| :param xy: An 8-tuple (x0, y0, x1, y1, x2, y2, x3, y3) which contain the
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| upper left, lower left, lower right, and upper right corner of the
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| source quadrilateral.
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| """
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| method = Image.Transform.QUAD
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| class MeshTransform(Transform):
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| """
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| Define a mesh image transform. A mesh transform consists of one or more
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| individual quad transforms.
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| See :py:meth:`.Image.transform`
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| :param data: A list of (bbox, quad) tuples.
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| """
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| method = Image.Transform.MESH
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|
