103 lines
2.8 KiB
Python
103 lines
2.8 KiB
Python
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# The Python Imaging Library.
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# $Id$
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#
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# transform wrappers
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#
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# History:
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# 2002-04-08 fl Created
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#
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# Copyright (c) 2002 by Secret Labs AB
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# Copyright (c) 2002 by Fredrik Lundh
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#
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# See the README file for information on usage and redistribution.
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#
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from . import Image
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class Transform(Image.ImageTransformHandler):
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def __init__(self, data):
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self.data = data
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def getdata(self):
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return self.method, self.data
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def transform(self, size, image, **options):
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# can be overridden
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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 an affine transform matrix. For each pixel (x, y) in the
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output image, the new value is taken from a position (a x + b y + c,
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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:`~PIL.Image.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 an affine transform matrix.
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"""
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method = Image.AFFINE
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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:`~PIL.Image.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.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:`~PIL.Image.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.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:`~PIL.Image.Image.transform`
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:param data: A list of (bbox, quad) tuples.
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"""
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method = Image.MESH
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