2018-07-06 16:43:20 +02:00
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# vim: set fileencoding=utf-8 :
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from functools import reduce
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import pytest
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import pyvips
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from helpers import JPEG_FILE, unsigned_formats, \
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signed_formats, float_formats, int_formats, \
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noncomplex_formats, all_formats, max_value, \
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sizeof_format, rot45_angles, rot45_angle_bonds, \
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rot_angles, rot_angle_bonds, run_cmp, run_cmp2, \
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assert_almost_equal_objects
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class TestConversion:
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# run a function on an image,
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# 50,50 and 10,10 should have different values on the test image
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# don't loop over band elements
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def run_image_pixels(self, message, im, fn):
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run_cmp(message, im, 50, 50, fn)
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run_cmp(message, im, 10, 10, fn)
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# run a function on a pair of images
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# 50,50 and 10,10 should have different values on the test image
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# don't loop over band elements
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def run_image_pixels2(self, message, left, right, fn):
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run_cmp2(message, left, right, 50, 50, fn)
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run_cmp2(message, left, right, 10, 10, fn)
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def run_unary(self, images, fn, fmt=all_formats):
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[self.run_image_pixels(fn.__name__ + (' %s' % y), x.cast(y), fn)
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for x in images for y in fmt]
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def run_binary(self, images, fn, fmt=all_formats):
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[self.run_image_pixels2(fn.__name__ + (' %s %s' % (y, z)),
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x.cast(y), x.cast(z), fn)
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for x in images for y in fmt for z in fmt]
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@classmethod
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def setup_class(cls):
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im = pyvips.Image.mask_ideal(100, 100, 0.5,
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reject=True, optical=True)
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cls.colour = (im * [1, 2, 3] + [2, 3, 4]).copy(interpretation="srgb")
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cls.mono = cls.colour[1].copy(interpretation="b-w")
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cls.all_images = [cls.mono, cls.colour]
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cls.image = pyvips.Image.jpegload(JPEG_FILE)
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def test_band_and(self):
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def band_and(x):
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if isinstance(x, pyvips.Image):
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return x.bandand()
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else:
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return [reduce(lambda a, b: int(a) & int(b), x)]
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self.run_unary(self.all_images, band_and, fmt=int_formats)
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def test_band_or(self):
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def band_or(x):
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if isinstance(x, pyvips.Image):
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return x.bandor()
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else:
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return [reduce(lambda a, b: int(a) | int(b), x)]
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self.run_unary(self.all_images, band_or, fmt=int_formats)
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def test_band_eor(self):
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def band_eor(x):
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if isinstance(x, pyvips.Image):
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return x.bandeor()
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else:
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return [reduce(lambda a, b: int(a) ^ int(b), x)]
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self.run_unary(self.all_images, band_eor, fmt=int_formats)
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def test_bandjoin(self):
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def bandjoin(x, y):
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if isinstance(x, pyvips.Image) and isinstance(y, pyvips.Image):
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return x.bandjoin(y)
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else:
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return x + y
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self.run_binary(self.all_images, bandjoin)
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def test_bandjoin_const(self):
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x = self.colour.bandjoin(1)
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assert x.bands == 4
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assert x[3].avg() == 1
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x = self.colour.bandjoin([1, 2])
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assert x.bands == 5
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assert x[3].avg() == 1
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assert x[4].avg() == 2
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def test_bandmean(self):
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def bandmean(x):
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if isinstance(x, pyvips.Image):
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return x.bandmean()
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else:
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return [sum(x) // len(x)]
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self.run_unary(self.all_images, bandmean, fmt=noncomplex_formats)
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def test_bandrank(self):
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def median(x, y):
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joined = [[a, b] for a, b in zip(x, y)]
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# .sort() isn't a function, so we have to run this as a separate
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# pass
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[z.sort() for z in joined]
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return [z[len(z) // 2] for z in joined]
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def bandrank(x, y):
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if isinstance(x, pyvips.Image) and isinstance(y, pyvips.Image):
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return x.bandrank([y])
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else:
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return median(x, y)
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self.run_binary(self.all_images, bandrank, fmt=noncomplex_formats)
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# we can mix images and constants, and set the index arg
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a = self.mono.bandrank([2], index=0)
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b = (self.mono < 2).ifthenelse(self.mono, 2)
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assert (a - b).abs().min() == 0
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def test_cache(self):
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def cache(x):
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if isinstance(x, pyvips.Image):
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return x.cache()
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else:
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return x
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self.run_unary(self.all_images, cache)
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def test_copy(self):
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x = self.colour.copy(interpretation=pyvips.Interpretation.LAB)
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assert x.interpretation == pyvips.Interpretation.LAB
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x = self.colour.copy(xres=42)
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assert x.xres == 42
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x = self.colour.copy(yres=42)
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assert x.yres == 42
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x = self.colour.copy(xoffset=42)
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assert x.xoffset == 42
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x = self.colour.copy(yoffset=42)
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assert x.yoffset == 42
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x = self.colour.copy(coding=pyvips.Coding.NONE)
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assert x.coding == pyvips.Coding.NONE
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def test_bandfold(self):
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x = self.mono.bandfold()
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assert x.width == 1
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assert x.bands == self.mono.width
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y = x.bandunfold()
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assert y.width == self.mono.width
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assert y.bands == 1
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assert x.avg() == y.avg()
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x = self.mono.bandfold(factor=2)
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assert x.width == self.mono.width / 2
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assert x.bands == 2
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y = x.bandunfold(factor=2)
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assert y.width == self.mono.width
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assert y.bands == 1
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assert x.avg() == y.avg()
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def test_byteswap(self):
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x = self.mono.cast("ushort")
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y = x.byteswap().byteswap()
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assert x.width == y.width
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assert x.height == y.height
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assert x.bands == y.bands
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assert x.avg() == y.avg()
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def test_embed(self):
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for fmt in all_formats:
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test = self.colour.cast(fmt)
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im = test.embed(20, 20,
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self.colour.width + 40,
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self.colour.height + 40)
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pixel = im(10, 10)
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assert_almost_equal_objects(pixel, [0, 0, 0])
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pixel = im(30, 30)
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assert_almost_equal_objects(pixel, [2, 3, 4])
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pixel = im(im.width - 10, im.height - 10)
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assert_almost_equal_objects(pixel, [0, 0, 0])
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im = test.embed(20, 20,
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self.colour.width + 40,
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self.colour.height + 40,
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extend=pyvips.Extend.COPY)
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pixel = im(10, 10)
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assert_almost_equal_objects(pixel, [2, 3, 4])
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pixel = im(im.width - 10, im.height - 10)
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assert_almost_equal_objects(pixel, [2, 3, 4])
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im = test.embed(20, 20,
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self.colour.width + 40,
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self.colour.height + 40,
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extend=pyvips.Extend.BACKGROUND,
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background=[7, 8, 9])
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pixel = im(10, 10)
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assert_almost_equal_objects(pixel, [7, 8, 9])
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pixel = im(im.width - 10, im.height - 10)
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assert_almost_equal_objects(pixel, [7, 8, 9])
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im = test.embed(20, 20,
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self.colour.width + 40,
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self.colour.height + 40,
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extend=pyvips.Extend.WHITE)
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pixel = im(10, 10)
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# uses 255 in all bytes of ints, 255.0 for float
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pixel = [int(x) & 0xff for x in pixel]
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assert_almost_equal_objects(pixel, [255, 255, 255])
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pixel = im(im.width - 10, im.height - 10)
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pixel = [int(x) & 0xff for x in pixel]
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assert_almost_equal_objects(pixel, [255, 255, 255])
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@pytest.mark.skipif(pyvips.type_find("VipsOperation", "gravity") == 0,
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reason="no gravity in this vips, skipping test")
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def test_gravity(self):
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im = pyvips.Image.black(1, 1) + 255
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positions = [
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['centre', 1, 1],
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['north', 1, 0],
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['south', 1, 2],
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['east', 2, 1],
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['west', 0, 1],
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['north-east', 2, 0],
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['south-east', 2, 2],
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['south-west', 0, 2],
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['north-west', 0, 0]
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]
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for direction, x, y in positions:
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im2 = im.gravity(direction, 3, 3)
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assert_almost_equal_objects(im2(x, y), [255])
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assert_almost_equal_objects(im2.avg(), 255.0 / 9.0)
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def test_extract(self):
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for fmt in all_formats:
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test = self.colour.cast(fmt)
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pixel = test(30, 30)
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assert_almost_equal_objects(pixel, [2, 3, 4])
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sub = test.extract_area(25, 25, 10, 10)
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pixel = sub(5, 5)
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assert_almost_equal_objects(pixel, [2, 3, 4])
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sub = test.extract_band(1, n=2)
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pixel = sub(30, 30)
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assert_almost_equal_objects(pixel, [3, 4])
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def test_slice(self):
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test = self.colour
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bands = [x.avg() for x in test]
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x = test[0].avg()
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assert x == bands[0]
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x = test[-1].avg()
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assert_almost_equal_objects(x, bands[2])
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x = [i.avg() for i in test[1:3]]
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assert_almost_equal_objects(x, bands[1:3])
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x = [i.avg() for i in test[1:-1]]
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assert_almost_equal_objects(x, bands[1:-1])
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x = [i.avg() for i in test[:2]]
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assert_almost_equal_objects(x, bands[:2])
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x = [i.avg() for i in test[1:]]
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assert_almost_equal_objects(x, bands[1:])
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x = [i.avg() for i in test[-1]]
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assert_almost_equal_objects(x, bands[-1])
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def test_crop(self):
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for fmt in all_formats:
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test = self.colour.cast(fmt)
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pixel = test(30, 30)
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assert_almost_equal_objects(pixel, [2, 3, 4])
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sub = test.crop(25, 25, 10, 10)
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pixel = sub(5, 5)
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assert_almost_equal_objects(pixel, [2, 3, 4])
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@pytest.mark.skipif(pyvips.type_find("VipsOperation", "smartcrop") == 0,
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reason="no smartcrop, skipping test")
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def test_smartcrop(self):
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test = self.image.smartcrop(100, 100)
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assert test.width == 100
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assert test.height == 100
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def test_falsecolour(self):
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for fmt in all_formats:
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test = self.colour.cast(fmt)
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im = test.falsecolour()
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assert im.width == test.width
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assert im.height == test.height
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assert im.bands == 3
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pixel = im(30, 30)
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assert_almost_equal_objects(pixel, [20, 0, 41])
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def test_flatten(self):
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for fmt in unsigned_formats + [pyvips.BandFormat.SHORT,
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pyvips.BandFormat.INT] + float_formats:
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mx = 255
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|
|
|
|
alpha = mx / 2.0
|
|
|
|
|
nalpha = mx - alpha
|
|
|
|
|
test = self.colour.bandjoin(alpha).cast(fmt)
|
|
|
|
|
pixel = test(30, 30)
|
|
|
|
|
|
|
|
|
|
predict = [int(x) * alpha / mx for x in pixel[:-1]]
|
|
|
|
|
|
|
|
|
|
im = test.flatten()
|
|
|
|
|
|
|
|
|
|
assert im.bands == 3
|
|
|
|
|
pixel = im(30, 30)
|
|
|
|
|
for x, y in zip(pixel, predict):
|
|
|
|
|
# we use float arithetic for int and uint, so the rounding
|
|
|
|
|
# differs ... don't require huge accuracy
|
|
|
|
|
assert abs(x - y) < 2
|
|
|
|
|
|
|
|
|
|
im = test.flatten(background=[100, 100, 100])
|
|
|
|
|
|
|
|
|
|
pixel = test(30, 30)
|
|
|
|
|
predict = [int(x) * alpha / mx + (100 * nalpha) / mx
|
|
|
|
|
for x in pixel[:-1]]
|
|
|
|
|
|
|
|
|
|
assert im.bands == 3
|
|
|
|
|
pixel = im(30, 30)
|
|
|
|
|
for x, y in zip(pixel, predict):
|
|
|
|
|
assert abs(x - y) < 2
|
|
|
|
|
|
|
|
|
|
def test_premultiply(self):
|
|
|
|
|
for fmt in unsigned_formats + [pyvips.BandFormat.SHORT,
|
|
|
|
|
pyvips.BandFormat.INT] + float_formats:
|
|
|
|
|
mx = 255
|
|
|
|
|
alpha = mx / 2.0
|
|
|
|
|
test = self.colour.bandjoin(alpha).cast(fmt)
|
|
|
|
|
pixel = test(30, 30)
|
|
|
|
|
|
|
|
|
|
predict = [int(x) * alpha / mx for x in pixel[:-1]] + [alpha]
|
|
|
|
|
|
|
|
|
|
im = test.premultiply()
|
|
|
|
|
|
|
|
|
|
assert im.bands == test.bands
|
|
|
|
|
pixel = im(30, 30)
|
|
|
|
|
for x, y in zip(pixel, predict):
|
|
|
|
|
# we use float arithetic for int and uint, so the rounding
|
|
|
|
|
# differs ... don't require huge accuracy
|
|
|
|
|
assert abs(x - y) < 2
|
|
|
|
|
|
|
|
|
|
@pytest.mark.skipif(pyvips.type_find("VipsConversion", "composite") == 0,
|
|
|
|
|
reason="no composite support, skipping test")
|
|
|
|
|
def test_composite(self):
|
|
|
|
|
# 50% transparent image
|
|
|
|
|
overlay = self.colour.bandjoin(128)
|
|
|
|
|
base = self.colour + 100
|
|
|
|
|
comp = base.composite(overlay, "over")
|
|
|
|
|
|
|
|
|
|
assert_almost_equal_objects(comp(0, 0), [51.8, 52.8, 53.8, 255],
|
|
|
|
|
threshold=0.1)
|
|
|
|
|
|
|
|
|
|
def test_unpremultiply(self):
|
|
|
|
|
for fmt in unsigned_formats + [pyvips.BandFormat.SHORT,
|
|
|
|
|
pyvips.BandFormat.INT] + float_formats:
|
|
|
|
|
mx = 255
|
|
|
|
|
alpha = mx / 2.0
|
|
|
|
|
test = self.colour.bandjoin(alpha).cast(fmt)
|
|
|
|
|
pixel = test(30, 30)
|
|
|
|
|
|
|
|
|
|
predict = [int(x) / (alpha / mx) for x in pixel[:-1]] + [alpha]
|
|
|
|
|
|
|
|
|
|
im = test.unpremultiply()
|
|
|
|
|
|
|
|
|
|
assert im.bands == test.bands
|
|
|
|
|
pixel = im(30, 30)
|
|
|
|
|
for x, y in zip(pixel, predict):
|
|
|
|
|
# we use float arithetic for int and uint, so the rounding
|
|
|
|
|
# differs ... don't require huge accuracy
|
|
|
|
|
assert abs(x - y) < 2
|
|
|
|
|
|
|
|
|
|
def test_flip(self):
|
|
|
|
|
for fmt in all_formats:
|
|
|
|
|
test = self.colour.cast(fmt)
|
|
|
|
|
|
|
|
|
|
result = test.fliphor()
|
|
|
|
|
result = result.flipver()
|
|
|
|
|
result = result.fliphor()
|
|
|
|
|
result = result.flipver()
|
|
|
|
|
|
|
|
|
|
diff = (test - result).abs().max()
|
|
|
|
|
|
|
|
|
|
assert diff == 0
|
|
|
|
|
|
|
|
|
|
def test_gamma(self):
|
|
|
|
|
exponent = 2.4
|
|
|
|
|
for fmt in noncomplex_formats:
|
|
|
|
|
mx = max_value[fmt]
|
|
|
|
|
test = (self.colour + mx / 2.0).cast(fmt)
|
|
|
|
|
|
|
|
|
|
norm = mx ** exponent / mx
|
|
|
|
|
result = test.gamma()
|
|
|
|
|
before = test(30, 30)
|
|
|
|
|
after = result(30, 30)
|
|
|
|
|
predict = [x ** exponent / norm for x in before]
|
|
|
|
|
for a, b in zip(after, predict):
|
|
|
|
|
# ie. less than 1% error, rounding on 7-bit images
|
|
|
|
|
# means this is all we can expect
|
|
|
|
|
assert abs(a - b) < mx / 100.0
|
|
|
|
|
|
|
|
|
|
exponent = 1.2
|
|
|
|
|
for fmt in noncomplex_formats:
|
|
|
|
|
mx = max_value[fmt]
|
|
|
|
|
test = (self.colour + mx / 2.0).cast(fmt)
|
|
|
|
|
|
|
|
|
|
norm = mx ** exponent / mx
|
|
|
|
|
result = test.gamma(exponent=1.0 / 1.2)
|
|
|
|
|
before = test(30, 30)
|
|
|
|
|
after = result(30, 30)
|
|
|
|
|
predict = [x ** exponent / norm for x in before]
|
|
|
|
|
for a, b in zip(after, predict):
|
|
|
|
|
# ie. less than 1% error, rounding on 7-bit images
|
|
|
|
|
# means this is all we can expect
|
|
|
|
|
assert abs(a - b) < mx / 100.0
|
|
|
|
|
|
|
|
|
|
def test_grid(self):
|
|
|
|
|
test = self.colour.replicate(1, 12)
|
|
|
|
|
assert test.width == self.colour.width
|
|
|
|
|
assert test.height == self.colour.height * 12
|
|
|
|
|
|
|
|
|
|
for fmt in all_formats:
|
|
|
|
|
im = test.cast(fmt)
|
|
|
|
|
result = im.grid(test.width, 3, 4)
|
|
|
|
|
assert result.width == self.colour.width * 3
|
|
|
|
|
assert result.height == self.colour.height * 4
|
|
|
|
|
|
|
|
|
|
before = im(10, 10)
|
|
|
|
|
after = result(10 + test.width * 2, 10 + test.width * 2)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
before = im(50, 50)
|
|
|
|
|
after = result(50 + test.width * 2, 50 + test.width * 2)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
def test_ifthenelse(self):
|
|
|
|
|
test = self.mono > 3
|
|
|
|
|
for x in all_formats:
|
|
|
|
|
for y in all_formats:
|
|
|
|
|
t = (self.colour + 10).cast(x)
|
|
|
|
|
e = self.colour.cast(y)
|
|
|
|
|
r = test.ifthenelse(t, e)
|
|
|
|
|
|
|
|
|
|
assert r.width == self.colour.width
|
|
|
|
|
assert r.height == self.colour.height
|
|
|
|
|
assert r.bands == self.colour.bands
|
|
|
|
|
|
|
|
|
|
predict = e(10, 10)
|
|
|
|
|
result = r(10, 10)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
predict = t(50, 50)
|
|
|
|
|
result = r(50, 50)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
test = self.colour > 3
|
|
|
|
|
for x in all_formats:
|
|
|
|
|
for y in all_formats:
|
|
|
|
|
t = (self.mono + 10).cast(x)
|
|
|
|
|
e = self.mono.cast(y)
|
|
|
|
|
r = test.ifthenelse(t, e)
|
|
|
|
|
|
|
|
|
|
assert r.width == self.colour.width
|
|
|
|
|
assert r.height == self.colour.height
|
|
|
|
|
assert r.bands == self.colour.bands
|
|
|
|
|
|
|
|
|
|
cp = test(10, 10)
|
|
|
|
|
tp = t(10, 10) * 3
|
|
|
|
|
ep = e(10, 10) * 3
|
|
|
|
|
predict = [te if ce != 0 else ee
|
|
|
|
|
for ce, te, ee in zip(cp, tp, ep)]
|
|
|
|
|
result = r(10, 10)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
cp = test(50, 50)
|
|
|
|
|
tp = t(50, 50) * 3
|
|
|
|
|
ep = e(50, 50) * 3
|
|
|
|
|
predict = [te if ce != 0 else ee
|
|
|
|
|
for ce, te, ee in zip(cp, tp, ep)]
|
|
|
|
|
result = r(50, 50)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
test = self.colour > 3
|
|
|
|
|
for x in all_formats:
|
|
|
|
|
for y in all_formats:
|
|
|
|
|
t = (self.mono + 10).cast(x)
|
|
|
|
|
e = self.mono.cast(y)
|
|
|
|
|
r = test.ifthenelse(t, e, blend=True)
|
|
|
|
|
|
|
|
|
|
assert r.width == self.colour.width
|
|
|
|
|
assert r.height == self.colour.height
|
|
|
|
|
assert r.bands == self.colour.bands
|
|
|
|
|
|
|
|
|
|
result = r(10, 10)
|
|
|
|
|
assert_almost_equal_objects(result, [3, 3, 13])
|
|
|
|
|
|
|
|
|
|
test = self.mono > 3
|
|
|
|
|
r = test.ifthenelse([1, 2, 3], self.colour)
|
|
|
|
|
assert r.width == self.colour.width
|
|
|
|
|
assert r.height == self.colour.height
|
|
|
|
|
assert r.bands == self.colour.bands
|
|
|
|
|
assert r.format == self.colour.format
|
|
|
|
|
assert r.interpretation == self.colour.interpretation
|
|
|
|
|
result = r(10, 10)
|
|
|
|
|
assert_almost_equal_objects(result, [2, 3, 4])
|
|
|
|
|
result = r(50, 50)
|
|
|
|
|
assert_almost_equal_objects(result, [1, 2, 3])
|
|
|
|
|
|
|
|
|
|
test = self.mono
|
|
|
|
|
r = test.ifthenelse([1, 2, 3], self.colour, blend=True)
|
|
|
|
|
assert r.width == self.colour.width
|
|
|
|
|
assert r.height == self.colour.height
|
|
|
|
|
assert r.bands == self.colour.bands
|
|
|
|
|
assert r.format == self.colour.format
|
|
|
|
|
assert r.interpretation == self.colour.interpretation
|
|
|
|
|
result = r(10, 10)
|
|
|
|
|
assert_almost_equal_objects(result, [2, 3, 4], threshold=0.1)
|
|
|
|
|
result = r(50, 50)
|
|
|
|
|
assert_almost_equal_objects(result, [3.0, 4.9, 6.9], threshold=0.1)
|
|
|
|
|
|
2019-08-19 17:27:44 +02:00
|
|
|
def test_switch(self):
|
|
|
|
|
x = pyvips.Image.grey(256, 256, uchar=True)
|
|
|
|
|
|
|
|
|
|
# slice into two at 128, we should get 50% of pixels in each half
|
|
|
|
|
index = pyvips.Image.switch([x < 128, x >= 128])
|
|
|
|
|
assert index.avg() == 0.5
|
|
|
|
|
|
|
|
|
|
# slice into four
|
|
|
|
|
index = pyvips.Image.switch([
|
|
|
|
|
x < 64,
|
|
|
|
|
x >= 64 and x < 128,
|
|
|
|
|
x >= 128 and x < 192,
|
|
|
|
|
x >= 192
|
|
|
|
|
])
|
|
|
|
|
assert index.avg() == 1.5
|
|
|
|
|
|
|
|
|
|
# no match should return n + 1
|
2019-08-21 17:51:01 +02:00
|
|
|
index = pyvips.Image.switch([x == 1000, x == 2000])
|
|
|
|
|
assert index.avg() == 2
|
2019-08-19 17:27:44 +02:00
|
|
|
|
2018-07-06 16:43:20 +02:00
|
|
|
def test_insert(self):
|
|
|
|
|
for x in all_formats:
|
|
|
|
|
for y in all_formats:
|
|
|
|
|
main = self.mono.cast(x)
|
|
|
|
|
sub = self.colour.cast(y)
|
|
|
|
|
r = main.insert(sub, 10, 10)
|
|
|
|
|
|
|
|
|
|
assert r.width == main.width
|
|
|
|
|
assert r.height == main.height
|
|
|
|
|
assert r.bands == sub.bands
|
|
|
|
|
|
|
|
|
|
a = r(10, 10)
|
|
|
|
|
b = sub(0, 0)
|
|
|
|
|
assert_almost_equal_objects(a, b)
|
|
|
|
|
|
|
|
|
|
a = r(0, 0)
|
|
|
|
|
b = main(0, 0) * 3
|
|
|
|
|
assert_almost_equal_objects(a, b)
|
|
|
|
|
|
|
|
|
|
for x in all_formats:
|
|
|
|
|
for y in all_formats:
|
|
|
|
|
main = self.mono.cast(x)
|
|
|
|
|
sub = self.colour.cast(y)
|
|
|
|
|
r = main.insert(sub, 10, 10, expand=True, background=100)
|
|
|
|
|
|
|
|
|
|
assert r.width == main.width + 10
|
|
|
|
|
assert r.height == main.height + 10
|
|
|
|
|
assert r.bands == sub.bands
|
|
|
|
|
|
|
|
|
|
a = r(r.width - 5, 5)
|
|
|
|
|
assert_almost_equal_objects(a, [100, 100, 100])
|
|
|
|
|
|
|
|
|
|
def test_arrayjoin(self):
|
|
|
|
|
max_width = 0
|
|
|
|
|
max_height = 0
|
|
|
|
|
max_bands = 0
|
|
|
|
|
for image in self.all_images:
|
|
|
|
|
if image.width > max_width:
|
|
|
|
|
max_width = image.width
|
|
|
|
|
if image.height > max_height:
|
|
|
|
|
max_height = image.height
|
|
|
|
|
if image.bands > max_bands:
|
|
|
|
|
max_bands = image.bands
|
|
|
|
|
|
|
|
|
|
im = pyvips.Image.arrayjoin(self.all_images)
|
|
|
|
|
assert im.width == max_width * len(self.all_images)
|
|
|
|
|
assert im.height == max_height
|
|
|
|
|
assert im.bands == max_bands
|
|
|
|
|
|
|
|
|
|
im = pyvips.Image.arrayjoin(self.all_images, across=1)
|
|
|
|
|
assert im.width == max_width
|
|
|
|
|
assert im.height == max_height * len(self.all_images)
|
|
|
|
|
assert im.bands == max_bands
|
|
|
|
|
|
|
|
|
|
im = pyvips.Image.arrayjoin(self.all_images, shim=10)
|
|
|
|
|
assert im.width == max_width * len(self.all_images) + 10 * (len(self.all_images) - 1) # noqa: E501
|
|
|
|
|
assert im.height == max_height
|
|
|
|
|
assert im.bands == max_bands
|
|
|
|
|
|
|
|
|
|
def test_msb(self):
|
|
|
|
|
for fmt in unsigned_formats:
|
|
|
|
|
mx = max_value[fmt]
|
|
|
|
|
size = sizeof_format[fmt]
|
|
|
|
|
test = (self.colour + mx / 8.0).cast(fmt)
|
|
|
|
|
im = test.msb()
|
|
|
|
|
|
|
|
|
|
before = test(10, 10)
|
|
|
|
|
predict = [int(x) >> ((size - 1) * 8) for x in before]
|
|
|
|
|
result = im(10, 10)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
before = test(50, 50)
|
|
|
|
|
predict = [int(x) >> ((size - 1) * 8) for x in before]
|
|
|
|
|
result = im(50, 50)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
for fmt in signed_formats:
|
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|
|
|
mx = max_value[fmt]
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|
|
|
size = sizeof_format[fmt]
|
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|
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|
test = (self.colour + mx / 8.0).cast(fmt)
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|
|
|
im = test.msb()
|
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|
|
|
|
|
|
|
|
before = test(10, 10)
|
|
|
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predict = [128 + (int(x) >> ((size - 1) * 8)) for x in before]
|
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|
|
|
result = im(10, 10)
|
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|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
before = test(50, 50)
|
|
|
|
|
predict = [128 + (int(x) >> ((size - 1) * 8)) for x in before]
|
|
|
|
|
result = im(50, 50)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
for fmt in unsigned_formats:
|
|
|
|
|
mx = max_value[fmt]
|
|
|
|
|
size = sizeof_format[fmt]
|
|
|
|
|
test = (self.colour + mx / 8.0).cast(fmt)
|
|
|
|
|
im = test.msb(band=1)
|
|
|
|
|
|
|
|
|
|
before = [test(10, 10)[1]]
|
|
|
|
|
predict = [int(x) >> ((size - 1) * 8) for x in before]
|
|
|
|
|
result = im(10, 10)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
before = [test(50, 50)[1]]
|
|
|
|
|
predict = [int(x) >> ((size - 1) * 8) for x in before]
|
|
|
|
|
result = im(50, 50)
|
|
|
|
|
assert_almost_equal_objects(result, predict)
|
|
|
|
|
|
|
|
|
|
def test_recomb(self):
|
|
|
|
|
array = [[0.2, 0.5, 0.3]]
|
|
|
|
|
|
|
|
|
|
def recomb(x):
|
|
|
|
|
if isinstance(x, pyvips.Image):
|
|
|
|
|
return x.recomb(array)
|
|
|
|
|
else:
|
|
|
|
|
sum = 0
|
|
|
|
|
for i, c in zip(array[0], x):
|
|
|
|
|
sum += i * c
|
|
|
|
|
return [sum]
|
|
|
|
|
|
|
|
|
|
self.run_unary([self.colour], recomb, fmt=noncomplex_formats)
|
|
|
|
|
|
|
|
|
|
def test_replicate(self):
|
|
|
|
|
for fmt in all_formats:
|
|
|
|
|
im = self.colour.cast(fmt)
|
|
|
|
|
|
|
|
|
|
test = im.replicate(10, 10)
|
|
|
|
|
assert test.width == self.colour.width * 10
|
|
|
|
|
assert test.height == self.colour.height * 10
|
|
|
|
|
|
|
|
|
|
before = im(10, 10)
|
|
|
|
|
after = test(10 + im.width * 2, 10 + im.width * 2)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
before = im(50, 50)
|
|
|
|
|
after = test(50 + im.width * 2, 50 + im.width * 2)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
def test_rot45(self):
|
|
|
|
|
# test has a quarter-circle in the bottom right
|
|
|
|
|
test = self.colour.crop(0, 0, 51, 51)
|
|
|
|
|
for fmt in all_formats:
|
|
|
|
|
im = test.cast(fmt)
|
|
|
|
|
|
|
|
|
|
im2 = im.rot45()
|
|
|
|
|
before = im(50, 50)
|
|
|
|
|
after = im2(25, 50)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
for a, b in zip(rot45_angles, rot45_angle_bonds):
|
|
|
|
|
im2 = im.rot45(angle=a)
|
|
|
|
|
after = im2.rot45(angle=b)
|
|
|
|
|
diff = (after - im).abs().max()
|
|
|
|
|
assert diff == 0
|
|
|
|
|
|
|
|
|
|
def test_rot(self):
|
|
|
|
|
# test has a quarter-circle in the bottom right
|
|
|
|
|
test = self.colour.crop(0, 0, 51, 51)
|
|
|
|
|
for fmt in all_formats:
|
|
|
|
|
im = test.cast(fmt)
|
|
|
|
|
|
|
|
|
|
im2 = im.rot(pyvips.Angle.D90)
|
|
|
|
|
before = im(50, 50)
|
|
|
|
|
after = im2(0, 50)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
for a, b in zip(rot_angles, rot_angle_bonds):
|
|
|
|
|
im2 = im.rot(a)
|
|
|
|
|
after = im2.rot(b)
|
|
|
|
|
diff = (after - im).abs().max()
|
|
|
|
|
assert diff == 0
|
|
|
|
|
|
|
|
|
|
def test_scaleimage(self):
|
|
|
|
|
for fmt in noncomplex_formats:
|
|
|
|
|
test = self.colour.cast(fmt)
|
|
|
|
|
|
|
|
|
|
im = test.scaleimage()
|
|
|
|
|
assert im.max() == 255
|
|
|
|
|
assert im.min() == 0
|
|
|
|
|
|
|
|
|
|
im = test.scaleimage(log=True)
|
|
|
|
|
assert im.max() == 255
|
|
|
|
|
|
|
|
|
|
def test_subsample(self):
|
|
|
|
|
for fmt in all_formats:
|
|
|
|
|
test = self.colour.cast(fmt)
|
|
|
|
|
|
|
|
|
|
im = test.subsample(3, 3)
|
|
|
|
|
assert im.width == test.width // 3
|
|
|
|
|
assert im.height == test.height // 3
|
|
|
|
|
|
|
|
|
|
before = test(60, 60)
|
|
|
|
|
after = im(20, 20)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
def test_zoom(self):
|
|
|
|
|
for fmt in all_formats:
|
|
|
|
|
test = self.colour.cast(fmt)
|
|
|
|
|
|
|
|
|
|
im = test.zoom(3, 3)
|
|
|
|
|
assert im.width == test.width * 3
|
|
|
|
|
assert im.height == test.height * 3
|
|
|
|
|
|
|
|
|
|
before = test(50, 50)
|
|
|
|
|
after = im(150, 150)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
def test_wrap(self):
|
|
|
|
|
for fmt in all_formats:
|
|
|
|
|
test = self.colour.cast(fmt)
|
|
|
|
|
|
|
|
|
|
im = test.wrap()
|
|
|
|
|
assert im.width == test.width
|
|
|
|
|
assert im.height == test.height
|
|
|
|
|
|
|
|
|
|
before = test(0, 0)
|
|
|
|
|
after = im(50, 50)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
before = test(50, 50)
|
|
|
|
|
after = im(0, 0)
|
|
|
|
|
assert_almost_equal_objects(before, after)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
|
|
|
pytest.main()
|
