272 lines
10 KiB
Python
Executable File
272 lines
10 KiB
Python
Executable File
#!/usr/bin/python3
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from __future__ import division
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from numbers import Number
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from functools import reduce
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import unittest
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import operator
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import math
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#import logging
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#logging.basicConfig(level = logging.DEBUG)
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import gi
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gi.require_version('Vips', '8.0')
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from gi.repository import Vips
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Vips.leak_set(True)
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unsigned_formats = [Vips.BandFormat.UCHAR,
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Vips.BandFormat.USHORT,
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Vips.BandFormat.UINT]
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signed_formats = [Vips.BandFormat.CHAR,
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Vips.BandFormat.SHORT,
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Vips.BandFormat.INT]
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float_formats = [Vips.BandFormat.FLOAT,
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Vips.BandFormat.DOUBLE]
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complex_formats = [Vips.BandFormat.COMPLEX,
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Vips.BandFormat.DPCOMPLEX]
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int_formats = unsigned_formats + signed_formats
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noncomplex_formats = int_formats + float_formats
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all_formats = int_formats + float_formats + complex_formats
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# an expanding zip ... if either of the args is a scalar or a one-element list,
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# duplicate it down the other side
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def zip_expand(x, y):
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# handle singleton list case
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if isinstance(x, list) and len(x) == 1:
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x = x[0]
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if isinstance(y, list) and len(y) == 1:
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y = y[0]
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if isinstance(x, list) and isinstance(y, list):
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return list(zip(x, y))
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elif isinstance(x, list):
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return [[i, y] for i in x]
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elif isinstance(y, list):
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return [[x, j] for j in y]
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else:
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return [[x, y]]
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# run a 1-ary function on a thing -- loop over elements if the
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# thing is a list
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def run_fn(fn, x):
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if isinstance(x, list):
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return [fn(i) for i in x]
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else:
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return fn(x)
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# run a 2-ary function on two things -- loop over elements pairwise if the
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# things are lists
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def run_fn2(fn, x, y):
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if isinstance(x, Vips.Image) or isinstance(y, Vips.Image):
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return fn(x, y)
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elif isinstance(x, list) or isinstance(y, list):
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return [fn(i, j) for i, j in zip_expand(x, y)]
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else:
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return fn(x, y)
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# point convolution
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def conv(image, mask, x_position, y_position):
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s = 0.0
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for x in range(0, mask.width):
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for y in range(0, mask.height):
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m = mask(x, y)
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i = image(x + x_position, y + y_position)
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p = run_fn2(operator.mul, m, i)
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s = run_fn2(operator.add, s, p)
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return run_fn2(operator.truediv, s, mask.get_scale())
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def compass(image, mask, x_position, y_position, n_rot, fn):
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acc = []
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for i in range(0, n_rot):
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result = conv(image, mask, x_position, y_position)
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result = run_fn(abs, result)
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acc.append(result)
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mask = mask.rot45()
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return reduce(lambda a, b: run_fn2(fn, a, b), acc)
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class TestConvolution(unittest.TestCase):
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# test a pair of things which can be lists for approx. equality
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def assertAlmostEqualObjects(self, a, b, places = 4, msg = ''):
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#print 'assertAlmostEqualObjects %s = %s' % (a, b)
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for x, y in zip_expand(a, b):
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self.assertAlmostEqual(x, y, places = places, msg = msg)
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# test a pair of things which can be lists for difference less than a
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# threshold
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def assertLessThreshold(self, a, b, diff):
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for x, y in zip_expand(a, b):
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self.assertLess(abs(x - y), diff)
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def setUp(self):
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im = Vips.Image.mask_ideal(100, 100, 0.5, reject = True, optical = True)
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self.colour = im * [1, 2, 3] + [2, 3, 4]
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self.colour = self.colour.copy(interpretation = Vips.Interpretation.SRGB)
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self.mono = self.colour.extract_band(1)
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self.mono = self.mono.copy(interpretation = Vips.Interpretation.B_W)
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self.all_images = [self.mono, self.colour]
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self.sharp = Vips.Image.new_from_array([[-1, -1, -1],
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[-1, 16, -1],
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[-1, -1, -1]], scale = 8)
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self.blur = Vips.Image.new_from_array([[1, 1, 1],
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[1, 1, 1],
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[1, 1, 1]], scale = 9)
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self.line = Vips.Image.new_from_array([[ 1, 1, 1],
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[-2, -2, -2],
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[ 1, 1, 1]])
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self.sobel = Vips.Image.new_from_array([[ 1, 2, 1],
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[ 0, 0, 0],
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[-1, -2, -1]])
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self.all_masks = [self.sharp, self.blur, self.line, self.sobel]
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def test_conv(self):
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for im in self.all_images:
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for msk in self.all_masks:
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for prec in [Vips.Precision.INTEGER, Vips.Precision.FLOAT]:
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convolved = im.conv(msk, precision = prec)
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result = convolved(25, 50)
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true = conv(im, msk, 24, 49)
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self.assertAlmostEqualObjects(result, true)
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result = convolved(50, 50)
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true = conv(im, msk, 49, 49)
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self.assertAlmostEqualObjects(result, true)
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# don't test conva, it's still not done
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def dont_test_conva(self):
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for im in self.all_images:
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for msk in self.all_masks:
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print("msk:")
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msk.matrixprint()
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print("im.bands = %s" % im.bands)
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convolved = im.conv(msk, precision = Vips.Precision.APPROXIMATE)
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result = convolved(25, 50)
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true = conv(im, msk, 24, 49)
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print("result = %s, true = %s" % (result, true))
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self.assertLessThreshold(result, true, 5)
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result = convolved(50, 50)
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true = conv(im, msk, 49, 49)
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print("result = %s, true = %s" % (result, true))
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self.assertLessThreshold(result, true, 5)
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def test_compass(self):
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for im in self.all_images:
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for msk in self.all_masks:
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for prec in [Vips.Precision.INTEGER, Vips.Precision.FLOAT]:
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for times in range(1, 4):
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convolved = im.compass(msk,
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times = times,
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angle = Vips.Angle45.D45,
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combine = Vips.Combine.MAX,
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precision = prec)
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result = convolved(25, 50)
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true = compass(im, msk, 24, 49, times, max)
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self.assertAlmostEqualObjects(result, true)
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for im in self.all_images:
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for msk in self.all_masks:
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for prec in [Vips.Precision.INTEGER, Vips.Precision.FLOAT]:
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for times in range(1, 4):
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convolved = im.compass(msk,
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times = times,
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angle = Vips.Angle45.D45,
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combine = Vips.Combine.SUM,
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precision = prec)
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result = convolved(25, 50)
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true = compass(im, msk, 24, 49, times, operator.add)
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self.assertAlmostEqualObjects(result, true)
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def test_convsep(self):
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for im in self.all_images:
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for prec in [Vips.Precision.INTEGER, Vips.Precision.FLOAT]:
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gmask = Vips.Image.gaussmat(2, 0.1,
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precision = prec)
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gmask_sep = Vips.Image.gaussmat(2, 0.1,
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separable = True,
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precision = prec)
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self.assertEqual(gmask.width, gmask.height)
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self.assertEqual(gmask_sep.width, gmask.width)
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self.assertEqual(gmask_sep.height, 1)
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a = im.conv(gmask, precision = prec)
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b = im.convsep(gmask_sep, precision = prec)
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a_point = a(25, 50)
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b_point = b(25, 50)
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self.assertAlmostEqualObjects(a_point, b_point, places = 1)
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def test_fastcor(self):
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for im in self.all_images:
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for fmt in noncomplex_formats:
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small = im.crop(20, 45, 10, 10).cast(fmt)
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cor = im.fastcor(small)
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v, x, y = cor.minpos()
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self.assertEqual(v, 0)
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self.assertEqual(x, 25)
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self.assertEqual(y, 50)
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def test_spcor(self):
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for im in self.all_images:
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for fmt in noncomplex_formats:
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small = im.crop(20, 45, 10, 10).cast(fmt)
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cor = im.spcor(small)
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v, x, y = cor.maxpos()
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self.assertEqual(v, 1.0)
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self.assertEqual(x, 25)
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self.assertEqual(y, 50)
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def test_gaussblur(self):
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for im in self.all_images:
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for prec in [Vips.Precision.INTEGER, Vips.Precision.FLOAT]:
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for i in range(5, 10):
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sigma = i / 5.0
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gmask = Vips.Image.gaussmat(sigma, 0.2,
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precision = prec)
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a = im.conv(gmask, precision = prec)
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b = im.gaussblur(sigma, min_ampl = 0.2, precision = prec)
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a_point = a(25, 50)
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b_point = b(25, 50)
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self.assertAlmostEqualObjects(a_point, b_point, places = 1)
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def test_sharpen(self):
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for im in self.all_images:
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for fmt in noncomplex_formats:
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# old vipses used "radius", check that that still works
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sharp = im.sharpen(radius = 5)
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for sigma in [0.5, 1, 1.5, 2]:
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im = im.cast(fmt)
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sharp = im.sharpen(sigma = sigma)
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# hard to test much more than this
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self.assertEqual(im.width, sharp.width)
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self.assertEqual(im.height, sharp.height)
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# if m1 and m2 are zero, sharpen should do nothing
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sharp = im.sharpen(sigma = sigma, m1 = 0, m2 = 0)
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sharp = sharp.colourspace(im.interpretation)
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#print("testing sig = %g" % sigma)
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#print("testing fmt = %s" % fmt)
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#print("max diff = %g" % (im - sharp).abs().max())
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self.assertEqual((im - sharp).abs().max(), 0)
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if __name__ == '__main__':
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unittest.main()
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