Source code for PIL.ImageTransform

# The Python Imaging Library.
# $Id$
# transform wrappers
# History:
# 2002-04-08 fl   Created
# Copyright (c) 2002 by Secret Labs AB
# Copyright (c) 2002 by Fredrik Lundh
# See the README file for information on usage and redistribution.

from . import Image

[docs] class Transform(Image.ImageTransformHandler): def __init__(self, data): = data
[docs] def getdata(self): return self.method,
[docs] def transform(self, size, image, **options): # can be overridden method, data = self.getdata() return image.transform(size, method, data, **options)
[docs] class AffineTransform(Transform): """ Define an affine image transform. This function takes a 6-tuple (a, b, c, d, e, f) which contain the first two rows from an affine transform matrix. For each pixel (x, y) in the output image, the new value is taken from a position (a x + b y + c, d x + e y + f) in the input image, rounded to nearest pixel. This function can be used to scale, translate, rotate, and shear the original image. See :py:meth:`~PIL.Image.Image.transform` :param matrix: A 6-tuple (a, b, c, d, e, f) containing the first two rows from an affine transform matrix. """ method = Image.Transform.AFFINE
[docs] class ExtentTransform(Transform): """ Define a transform to extract a subregion from an image. Maps a rectangle (defined by two corners) from the image to a rectangle of the given size. The resulting image will contain data sampled from between the corners, such that (x0, y0) in the input image will end up at (0,0) in the output image, and (x1, y1) at size. This method can be used to crop, stretch, shrink, or mirror an arbitrary rectangle in the current image. It is slightly slower than crop, but about as fast as a corresponding resize operation. See :py:meth:`~PIL.Image.Image.transform` :param bbox: A 4-tuple (x0, y0, x1, y1) which specifies two points in the input image's coordinate system. See :ref:`coordinate-system`. """ method = Image.Transform.EXTENT
[docs] class QuadTransform(Transform): """ Define a quad image transform. Maps a quadrilateral (a region defined by four corners) from the image to a rectangle of the given size. See :py:meth:`~PIL.Image.Image.transform` :param xy: An 8-tuple (x0, y0, x1, y1, x2, y2, x3, y3) which contain the upper left, lower left, lower right, and upper right corner of the source quadrilateral. """ method = Image.Transform.QUAD
[docs] class MeshTransform(Transform): """ Define a mesh image transform. A mesh transform consists of one or more individual quad transforms. See :py:meth:`~PIL.Image.Image.transform` :param data: A list of (bbox, quad) tuples. """ method = Image.Transform.MESH