mirror of
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523 lines
22 KiB
Python
523 lines
22 KiB
Python
from __future__ import division
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from array import array
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from PIL import Image, ImageFilter
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from helper import unittest, PillowTestCase
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try:
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import numpy
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except ImportError:
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numpy = None
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class TestColorLut3DCoreAPI(PillowTestCase):
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def generate_identity_table(self, channels, size):
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if isinstance(size, tuple):
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size1D, size2D, size3D = size
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else:
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size1D, size2D, size3D = (size, size, size)
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table = [
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[
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r / float(size1D-1) if size1D != 1 else 0,
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g / float(size2D-1) if size2D != 1 else 0,
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b / float(size3D-1) if size3D != 1 else 0,
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r / float(size1D-1) if size1D != 1 else 0,
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g / float(size2D-1) if size2D != 1 else 0,
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][:channels]
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for b in range(size3D)
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for g in range(size2D)
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for r in range(size1D)
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]
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return (
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channels, size1D, size2D, size3D,
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[item for sublist in table for item in sublist])
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def test_wrong_args(self):
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im = Image.new('RGB', (10, 10), 0)
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with self.assertRaisesRegex(ValueError, "filter"):
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im.im.color_lut_3d('RGB',
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Image.CUBIC,
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*self.generate_identity_table(3, 3))
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with self.assertRaisesRegex(ValueError, "image mode"):
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im.im.color_lut_3d('wrong',
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Image.LINEAR,
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*self.generate_identity_table(3, 3))
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with self.assertRaisesRegex(ValueError, "table_channels"):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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*self.generate_identity_table(5, 3))
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with self.assertRaisesRegex(ValueError, "table_channels"):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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*self.generate_identity_table(1, 3))
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with self.assertRaisesRegex(ValueError, "table_channels"):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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*self.generate_identity_table(2, 3))
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with self.assertRaisesRegex(ValueError, "Table size"):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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*self.generate_identity_table(3, (1, 3, 3)))
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with self.assertRaisesRegex(ValueError, "Table size"):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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*self.generate_identity_table(3, (66, 3, 3)))
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with self.assertRaisesRegex(ValueError, r"size1D \* size2D \* size3D"):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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3, 2, 2, 2, [0, 0, 0] * 7)
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with self.assertRaisesRegex(ValueError, r"size1D \* size2D \* size3D"):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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3, 2, 2, 2, [0, 0, 0] * 9)
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with self.assertRaises(TypeError):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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3, 2, 2, 2, [0, 0, "0"] * 8)
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with self.assertRaises(TypeError):
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im.im.color_lut_3d('RGB',
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Image.LINEAR,
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3, 2, 2, 2, 16)
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def test_correct_args(self):
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im = Image.new('RGB', (10, 10), 0)
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(3, 3))
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im.im.color_lut_3d('CMYK', Image.LINEAR,
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*self.generate_identity_table(4, 3))
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(3, (2, 3, 3)))
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(3, (65, 3, 3)))
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(3, (3, 65, 3)))
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(3, (3, 3, 65)))
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def test_wrong_mode(self):
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with self.assertRaisesRegex(ValueError, "wrong mode"):
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im = Image.new('L', (10, 10), 0)
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(3, 3))
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with self.assertRaisesRegex(ValueError, "wrong mode"):
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im = Image.new('RGB', (10, 10), 0)
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im.im.color_lut_3d('L', Image.LINEAR,
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*self.generate_identity_table(3, 3))
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with self.assertRaisesRegex(ValueError, "wrong mode"):
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im = Image.new('L', (10, 10), 0)
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im.im.color_lut_3d('L', Image.LINEAR,
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*self.generate_identity_table(3, 3))
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with self.assertRaisesRegex(ValueError, "wrong mode"):
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im = Image.new('RGB', (10, 10), 0)
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im.im.color_lut_3d('RGBA', Image.LINEAR,
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*self.generate_identity_table(3, 3))
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with self.assertRaisesRegex(ValueError, "wrong mode"):
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im = Image.new('RGB', (10, 10), 0)
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(4, 3))
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def test_correct_mode(self):
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im = Image.new('RGBA', (10, 10), 0)
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im.im.color_lut_3d('RGBA', Image.LINEAR,
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*self.generate_identity_table(3, 3))
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im = Image.new('RGBA', (10, 10), 0)
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im.im.color_lut_3d('RGBA', Image.LINEAR,
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*self.generate_identity_table(4, 3))
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im = Image.new('RGB', (10, 10), 0)
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im.im.color_lut_3d('HSV', Image.LINEAR,
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*self.generate_identity_table(3, 3))
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im = Image.new('RGB', (10, 10), 0)
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im.im.color_lut_3d('RGBA', Image.LINEAR,
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*self.generate_identity_table(4, 3))
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def test_identities(self):
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g = Image.linear_gradient('L')
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im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
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g.transpose(Image.ROTATE_180)])
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# Fast test with small cubes
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for size in [2, 3, 5, 7, 11, 16, 17]:
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self.assert_image_equal(im, im._new(
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(3, size))))
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# Not so fast
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self.assert_image_equal(im, im._new(
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im.im.color_lut_3d('RGB', Image.LINEAR,
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*self.generate_identity_table(3, (2, 2, 65)))))
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def test_identities_4_channels(self):
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g = Image.linear_gradient('L')
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im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
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g.transpose(Image.ROTATE_180)])
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# Red channel copied to alpha
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self.assert_image_equal(
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Image.merge('RGBA', (im.split()*2)[:4]),
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im._new(im.im.color_lut_3d('RGBA', Image.LINEAR,
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*self.generate_identity_table(4, 17))))
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def test_copy_alpha_channel(self):
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g = Image.linear_gradient('L')
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im = Image.merge('RGBA', [g, g.transpose(Image.ROTATE_90),
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g.transpose(Image.ROTATE_180),
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g.transpose(Image.ROTATE_270)])
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self.assert_image_equal(im, im._new(
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im.im.color_lut_3d('RGBA', Image.LINEAR,
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*self.generate_identity_table(3, 17))))
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def test_channels_order(self):
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g = Image.linear_gradient('L')
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im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
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g.transpose(Image.ROTATE_180)])
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# Reverse channels by splitting and using table
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self.assert_image_equal(
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Image.merge('RGB', im.split()[::-1]),
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im._new(im.im.color_lut_3d('RGB', Image.LINEAR,
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3, 2, 2, 2, [
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0, 0, 0, 0, 0, 1,
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0, 1, 0, 0, 1, 1,
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1, 0, 0, 1, 0, 1,
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1, 1, 0, 1, 1, 1,
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])))
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def test_overflow(self):
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g = Image.linear_gradient('L')
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im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
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g.transpose(Image.ROTATE_180)])
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transformed = im._new(im.im.color_lut_3d('RGB', Image.LINEAR,
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3, 2, 2, 2,
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[
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-1, -1, -1, 2, -1, -1,
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-1, 2, -1, 2, 2, -1,
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-1, -1, 2, 2, -1, 2,
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-1, 2, 2, 2, 2, 2,
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])).load()
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self.assertEqual(transformed[0, 0], (0, 0, 255))
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self.assertEqual(transformed[50, 50], (0, 0, 255))
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self.assertEqual(transformed[255, 0], (0, 255, 255))
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self.assertEqual(transformed[205, 50], (0, 255, 255))
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self.assertEqual(transformed[0, 255], (255, 0, 0))
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self.assertEqual(transformed[50, 205], (255, 0, 0))
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self.assertEqual(transformed[255, 255], (255, 255, 0))
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self.assertEqual(transformed[205, 205], (255, 255, 0))
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transformed = im._new(im.im.color_lut_3d('RGB', Image.LINEAR,
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3, 2, 2, 2,
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[
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-3, -3, -3, 5, -3, -3,
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-3, 5, -3, 5, 5, -3,
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-3, -3, 5, 5, -3, 5,
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-3, 5, 5, 5, 5, 5,
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])).load()
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self.assertEqual(transformed[0, 0], (0, 0, 255))
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self.assertEqual(transformed[50, 50], (0, 0, 255))
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self.assertEqual(transformed[255, 0], (0, 255, 255))
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self.assertEqual(transformed[205, 50], (0, 255, 255))
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self.assertEqual(transformed[0, 255], (255, 0, 0))
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self.assertEqual(transformed[50, 205], (255, 0, 0))
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self.assertEqual(transformed[255, 255], (255, 255, 0))
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self.assertEqual(transformed[205, 205], (255, 255, 0))
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class TestColorLut3DFilter(PillowTestCase):
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def test_wrong_args(self):
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with self.assertRaisesRegex(ValueError, "should be either an integer"):
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ImageFilter.Color3DLUT("small", [1])
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with self.assertRaisesRegex(ValueError, "should be either an integer"):
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ImageFilter.Color3DLUT((11, 11), [1])
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with self.assertRaisesRegex(ValueError, r"in \[2, 65\] range"):
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ImageFilter.Color3DLUT((11, 11, 1), [1])
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with self.assertRaisesRegex(ValueError, r"in \[2, 65\] range"):
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ImageFilter.Color3DLUT((11, 11, 66), [1])
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with self.assertRaisesRegex(ValueError, "table should have .+ items"):
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ImageFilter.Color3DLUT((3, 3, 3), [1, 1, 1])
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with self.assertRaisesRegex(ValueError, "table should have .+ items"):
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ImageFilter.Color3DLUT((3, 3, 3), [[1, 1, 1]] * 2)
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with self.assertRaisesRegex(ValueError, "should have a length of 4"):
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ImageFilter.Color3DLUT((3, 3, 3), [[1, 1, 1]] * 27, channels=4)
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with self.assertRaisesRegex(ValueError, "should have a length of 3"):
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ImageFilter.Color3DLUT((2, 2, 2), [[1, 1]] * 8)
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with self.assertRaisesRegex(ValueError, "Only 3 or 4 output"):
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ImageFilter.Color3DLUT((2, 2, 2), [[1, 1]] * 8, channels=2)
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def test_convert_table(self):
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lut = ImageFilter.Color3DLUT(2, [0, 1, 2] * 8)
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self.assertEqual(tuple(lut.size), (2, 2, 2))
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self.assertEqual(lut.name, "Color 3D LUT")
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lut = ImageFilter.Color3DLUT((2, 2, 2), [
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(0, 1, 2), (3, 4, 5), (6, 7, 8), (9, 10, 11),
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(12, 13, 14), (15, 16, 17), (18, 19, 20), (21, 22, 23)])
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self.assertEqual(tuple(lut.size), (2, 2, 2))
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self.assertEqual(lut.table, list(range(24)))
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lut = ImageFilter.Color3DLUT((2, 2, 2), [(0, 1, 2, 3)] * 8,
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channels=4)
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@unittest.skipIf(numpy is None, "Numpy is not installed")
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def test_numpy_sources(self):
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table = numpy.ones((5, 6, 7, 3), dtype=numpy.float16)
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with self.assertRaisesRegex(ValueError, "should have either channels"):
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lut = ImageFilter.Color3DLUT((5, 6, 7), table)
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table = numpy.ones((7, 6, 5, 3), dtype=numpy.float16)
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lut = ImageFilter.Color3DLUT((5, 6, 7), table)
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self.assertIsInstance(lut.table, numpy.ndarray)
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self.assertEqual(lut.table.dtype, table.dtype)
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self.assertEqual(lut.table.shape, (table.size,))
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table = numpy.ones((7 * 6 * 5, 3), dtype=numpy.float16)
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lut = ImageFilter.Color3DLUT((5, 6, 7), table)
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self.assertEqual(lut.table.shape, (table.size,))
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table = numpy.ones((7 * 6 * 5 * 3), dtype=numpy.float16)
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lut = ImageFilter.Color3DLUT((5, 6, 7), table)
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self.assertEqual(lut.table.shape, (table.size,))
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# Check application
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Image.new('RGB', (10, 10), 0).filter(lut)
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# Check copy
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table[0] = 33
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self.assertEqual(lut.table[0], 1)
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# Check not copy
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table = numpy.ones((7 * 6 * 5 * 3), dtype=numpy.float16)
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lut = ImageFilter.Color3DLUT((5, 6, 7), table, _copy_table=False)
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table[0] = 33
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self.assertEqual(lut.table[0], 33)
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@unittest.skipIf(numpy is None, "Numpy is not installed")
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def test_numpy_formats(self):
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g = Image.linear_gradient('L')
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im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
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g.transpose(Image.ROTATE_180)])
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lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
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lambda r, g, b: (r, g, b))
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lut.table = numpy.array(lut.table, dtype=numpy.float32)[:-1]
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with self.assertRaisesRegex(ValueError, "should have table_channels"):
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im.filter(lut)
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lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
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lambda r, g, b: (r, g, b))
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lut.table = (numpy.array(lut.table, dtype=numpy.float32)
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.reshape((7 * 9 * 11), 3))
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with self.assertRaisesRegex(ValueError, "should have table_channels"):
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im.filter(lut)
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lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
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lambda r, g, b: (r, g, b))
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lut.table = numpy.array(lut.table, dtype=numpy.float16)
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self.assert_image_equal(im, im.filter(lut))
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lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
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lambda r, g, b: (r, g, b))
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lut.table = numpy.array(lut.table, dtype=numpy.float32)
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self.assert_image_equal(im, im.filter(lut))
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lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
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lambda r, g, b: (r, g, b))
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lut.table = numpy.array(lut.table, dtype=numpy.float64)
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self.assert_image_equal(im, im.filter(lut))
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lut = ImageFilter.Color3DLUT.generate((7, 9, 11),
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lambda r, g, b: (r, g, b))
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lut.table = numpy.array(lut.table, dtype=numpy.int32)
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im.filter(lut)
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lut.table = numpy.array(lut.table, dtype=numpy.int8)
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im.filter(lut)
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def test_repr(self):
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lut = ImageFilter.Color3DLUT(2, [0, 1, 2] * 8)
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self.assertEqual(repr(lut),
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"<Color3DLUT from list size=2x2x2 channels=3>")
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lut = ImageFilter.Color3DLUT(
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(3, 4, 5), array('f', [0, 0, 0, 0] * (3 * 4 * 5)),
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channels=4, target_mode='YCbCr', _copy_table=False)
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self.assertEqual(
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repr(lut),
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"<Color3DLUT from array size=3x4x5 channels=4 target_mode=YCbCr>")
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class TestGenerateColorLut3D(PillowTestCase):
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def test_wrong_channels_count(self):
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with self.assertRaisesRegex(ValueError, "3 or 4 output channels"):
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ImageFilter.Color3DLUT.generate(
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5, channels=2, callback=lambda r, g, b: (r, g, b))
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with self.assertRaisesRegex(ValueError, "should have either channels"):
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ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b, r))
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with self.assertRaisesRegex(ValueError, "should have either channels"):
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ImageFilter.Color3DLUT.generate(
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5, channels=4, callback=lambda r, g, b: (r, g, b))
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def test_3_channels(self):
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lut = ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b))
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self.assertEqual(tuple(lut.size), (5, 5, 5))
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self.assertEqual(lut.name, "Color 3D LUT")
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self.assertEqual(lut.table[:24], [
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0.0, 0.0, 0.0, 0.25, 0.0, 0.0, 0.5, 0.0, 0.0, 0.75, 0.0, 0.0,
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1.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.25, 0.25, 0.0, 0.5, 0.25, 0.0])
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def test_4_channels(self):
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lut = ImageFilter.Color3DLUT.generate(
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5, channels=4, callback=lambda r, g, b: (b, r, g, (r+g+b) / 2))
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self.assertEqual(tuple(lut.size), (5, 5, 5))
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self.assertEqual(lut.name, "Color 3D LUT")
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self.assertEqual(lut.table[:24], [
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0.0, 0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.125, 0.0, 0.5, 0.0, 0.25,
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0.0, 0.75, 0.0, 0.375, 0.0, 1.0, 0.0, 0.5, 0.0, 0.0, 0.25, 0.125])
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def test_apply(self):
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lut = ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b))
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g = Image.linear_gradient('L')
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im = Image.merge('RGB', [g, g.transpose(Image.ROTATE_90),
|
|
g.transpose(Image.ROTATE_180)])
|
|
self.assertEqual(im, im.filter(lut))
|
|
|
|
|
|
class TestTransformColorLut3D(PillowTestCase):
|
|
def test_wrong_args(self):
|
|
source = ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b))
|
|
|
|
with self.assertRaisesRegex(ValueError, "Only 3 or 4 output"):
|
|
source.transform(lambda r, g, b: (r, g, b), channels=8)
|
|
|
|
with self.assertRaisesRegex(ValueError, "should have either channels"):
|
|
source.transform(lambda r, g, b: (r, g, b), channels=4)
|
|
|
|
with self.assertRaisesRegex(ValueError, "should have either channels"):
|
|
source.transform(lambda r, g, b: (r, g, b, 1))
|
|
|
|
with self.assertRaises(TypeError):
|
|
source.transform(lambda r, g, b, a: (r, g, b))
|
|
|
|
def test_target_mode(self):
|
|
source = ImageFilter.Color3DLUT.generate(
|
|
2, lambda r, g, b: (r, g, b), target_mode='HSV')
|
|
|
|
lut = source.transform(lambda r, g, b: (r, g, b))
|
|
self.assertEqual(lut.mode, 'HSV')
|
|
|
|
lut = source.transform(lambda r, g, b: (r, g, b), target_mode='RGB')
|
|
self.assertEqual(lut.mode, 'RGB')
|
|
|
|
def test_3_to_3_channels(self):
|
|
source = ImageFilter.Color3DLUT.generate(
|
|
(3, 4, 5), lambda r, g, b: (r, g, b))
|
|
lut = source.transform(lambda r, g, b: (r*r, g*g, b*b))
|
|
self.assertEqual(tuple(lut.size), tuple(source.size))
|
|
self.assertEqual(len(lut.table), len(source.table))
|
|
self.assertNotEqual(lut.table, source.table)
|
|
self.assertEqual(lut.table[0:10], [
|
|
0.0, 0.0, 0.0, 0.25, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0])
|
|
|
|
def test_3_to_4_channels(self):
|
|
source = ImageFilter.Color3DLUT.generate(
|
|
(6, 5, 4), lambda r, g, b: (r, g, b))
|
|
lut = source.transform(lambda r, g, b: (r*r, g*g, b*b, 1), channels=4)
|
|
self.assertEqual(tuple(lut.size), tuple(source.size))
|
|
self.assertNotEqual(len(lut.table), len(source.table))
|
|
self.assertNotEqual(lut.table, source.table)
|
|
self.assertEqual(lut.table[0:16], [
|
|
0.0, 0.0, 0.0, 1, 0.2**2, 0.0, 0.0, 1,
|
|
0.4**2, 0.0, 0.0, 1, 0.6**2, 0.0, 0.0, 1])
|
|
|
|
def test_4_to_3_channels(self):
|
|
source = ImageFilter.Color3DLUT.generate(
|
|
(3, 6, 5), lambda r, g, b: (r, g, b, 1), channels=4)
|
|
lut = source.transform(lambda r, g, b, a: (a - r*r, a - g*g, a - b*b),
|
|
channels=3)
|
|
self.assertEqual(tuple(lut.size), tuple(source.size))
|
|
self.assertNotEqual(len(lut.table), len(source.table))
|
|
self.assertNotEqual(lut.table, source.table)
|
|
self.assertEqual(lut.table[0:18], [
|
|
1.0, 1.0, 1.0, 0.75, 1.0, 1.0, 0.0, 1.0, 1.0,
|
|
1.0, 0.96, 1.0, 0.75, 0.96, 1.0, 0.0, 0.96, 1.0])
|
|
|
|
def test_4_to_4_channels(self):
|
|
source = ImageFilter.Color3DLUT.generate(
|
|
(6, 5, 4), lambda r, g, b: (r, g, b, 1), channels=4)
|
|
lut = source.transform(lambda r, g, b, a: (r*r, g*g, b*b, a - 0.5))
|
|
self.assertEqual(tuple(lut.size), tuple(source.size))
|
|
self.assertEqual(len(lut.table), len(source.table))
|
|
self.assertNotEqual(lut.table, source.table)
|
|
self.assertEqual(lut.table[0:16], [
|
|
0.0, 0.0, 0.0, 0.5, 0.2**2, 0.0, 0.0, 0.5,
|
|
0.4**2, 0.0, 0.0, 0.5, 0.6**2, 0.0, 0.0, 0.5])
|
|
|
|
def test_with_normals_3_channels(self):
|
|
source = ImageFilter.Color3DLUT.generate(
|
|
(6, 5, 4), lambda r, g, b: (r*r, g*g, b*b))
|
|
lut = source.transform(
|
|
lambda nr, ng, nb, r, g, b: (nr - r, ng - g, nb - b),
|
|
with_normals=True)
|
|
self.assertEqual(tuple(lut.size), tuple(source.size))
|
|
self.assertEqual(len(lut.table), len(source.table))
|
|
self.assertNotEqual(lut.table, source.table)
|
|
self.assertEqual(lut.table[0:18], [
|
|
0.0, 0.0, 0.0, 0.16, 0.0, 0.0, 0.24, 0.0, 0.0,
|
|
0.24, 0.0, 0.0, 0.8 - (0.8**2), 0, 0, 0, 0, 0])
|
|
|
|
def test_with_normals_4_channels(self):
|
|
source = ImageFilter.Color3DLUT.generate(
|
|
(3, 6, 5), lambda r, g, b: (r*r, g*g, b*b, 1), channels=4)
|
|
lut = source.transform(
|
|
lambda nr, ng, nb, r, g, b, a: (nr - r, ng - g, nb - b, a-0.5),
|
|
with_normals=True)
|
|
self.assertEqual(tuple(lut.size), tuple(source.size))
|
|
self.assertEqual(len(lut.table), len(source.table))
|
|
self.assertNotEqual(lut.table, source.table)
|
|
self.assertEqual(lut.table[0:16], [
|
|
0.0, 0.0, 0.0, 0.5, 0.25, 0.0, 0.0, 0.5,
|
|
0.0, 0.0, 0.0, 0.5, 0.0, 0.16, 0.0, 0.5])
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|