2013-10-11 17:28:32 +00:00
|
|
|
#
|
|
|
|
# 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.
|
|
|
|
#
|
|
|
|
|
2014-09-30 16:15:32 +00:00
|
|
|
from PIL import Image
|
2013-10-11 17:28:32 +00:00
|
|
|
|
2015-11-25 01:25:01 +00:00
|
|
|
|
2013-10-11 17:28:32 +00:00
|
|
|
class Transform(Image.ImageTransformHandler):
|
|
|
|
def __init__(self, data):
|
|
|
|
self.data = data
|
2015-11-25 01:25:01 +00:00
|
|
|
|
2013-10-11 17:28:32 +00:00
|
|
|
def getdata(self):
|
|
|
|
return self.method, self.data
|
2015-11-25 01:25:01 +00:00
|
|
|
|
2013-10-11 17:28:32 +00:00
|
|
|
def transform(self, size, image, **options):
|
|
|
|
# can be overridden
|
|
|
|
method, data = self.getdata()
|
|
|
|
return image.transform(size, method, data, **options)
|
|
|
|
|
2015-11-25 01:25:01 +00:00
|
|
|
|
2013-10-11 17:28:32 +00:00
|
|
|
##
|
|
|
|
# Define an affine image transform.
|
|
|
|
# <p>
|
|
|
|
# This function takes a 6-tuple (<i>a, b, c, d, e, f</i>) which
|
|
|
|
# contain the first two rows from an affine transform matrix. For
|
|
|
|
# each pixel (<i>x, y</i>) in the output image, the new value is
|
|
|
|
# taken from a position (a <i>x</i> + b <i>y</i> + c,
|
|
|
|
# d <i>x</i> + e <i>y</i> + f) in the input image, rounded to
|
|
|
|
# nearest pixel.
|
|
|
|
# <p>
|
|
|
|
# This function can be used to scale, translate, rotate, and shear the
|
|
|
|
# original image.
|
|
|
|
#
|
|
|
|
# @def AffineTransform(matrix)
|
|
|
|
# @param matrix A 6-tuple (<i>a, b, c, d, e, f</i>) containing
|
|
|
|
# the first two rows from an affine transform matrix.
|
|
|
|
# @see Image#Image.transform
|
|
|
|
|
2015-11-25 01:25:01 +00:00
|
|
|
|
2013-10-11 17:28:32 +00:00
|
|
|
class AffineTransform(Transform):
|
|
|
|
method = Image.AFFINE
|
|
|
|
|
2015-11-25 01:25:01 +00:00
|
|
|
|
2013-10-11 17:28:32 +00:00
|
|
|
##
|
|
|
|
# Define a transform to extract a subregion from an image.
|
|
|
|
# <p>
|
|
|
|
# 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 (<i>x0, y0</i>)
|
|
|
|
# in the input image will end up at (0,0) in the output image,
|
|
|
|
# and (<i>x1, y1</i>) at <i>size</i>.
|
|
|
|
# <p>
|
|
|
|
# This method can be used to crop, stretch, shrink, or mirror an
|
|
|
|
# arbitrary rectangle in the current image. It is slightly slower than
|
|
|
|
# <b>crop</b>, but about as fast as a corresponding <b>resize</b>
|
|
|
|
# operation.
|
|
|
|
#
|
|
|
|
# @def ExtentTransform(bbox)
|
|
|
|
# @param bbox A 4-tuple (<i>x0, y0, x1, y1</i>) which specifies
|
|
|
|
# two points in the input image's coordinate system.
|
|
|
|
# @see Image#Image.transform
|
|
|
|
|
|
|
|
class ExtentTransform(Transform):
|
|
|
|
method = Image.EXTENT
|
|
|
|
|
2015-11-25 01:25:01 +00:00
|
|
|
|
2013-10-11 17:28:32 +00:00
|
|
|
##
|
|
|
|
# Define an quad image transform.
|
|
|
|
# <p>
|
|
|
|
# Maps a quadrilateral (a region defined by four corners) from the
|
|
|
|
# image to a rectangle of the given size.
|
|
|
|
#
|
|
|
|
# @def QuadTransform(xy)
|
|
|
|
# @param xy An 8-tuple (<i>x0, y0, x1, y1, x2, y2, y3, y3</i>) which
|
|
|
|
# contain the upper left, lower left, lower right, and upper right
|
|
|
|
# corner of the source quadrilateral.
|
|
|
|
# @see Image#Image.transform
|
|
|
|
|
|
|
|
class QuadTransform(Transform):
|
|
|
|
method = Image.QUAD
|
|
|
|
|
2015-11-25 01:25:01 +00:00
|
|
|
|
2013-10-11 17:28:32 +00:00
|
|
|
##
|
|
|
|
# Define an mesh image transform. A mesh transform consists of one
|
|
|
|
# or more individual quad transforms.
|
|
|
|
#
|
|
|
|
# @def MeshTransform(data)
|
|
|
|
# @param data A list of (bbox, quad) tuples.
|
|
|
|
# @see Image#Image.transform
|
|
|
|
|
|
|
|
class MeshTransform(Transform):
|
|
|
|
method = Image.MESH
|