Pillow/Tests/test_color_lut.py
2022-04-26 18:51:44 +10:00

646 lines
22 KiB
Python

from array import array
import pytest
from PIL import Image, ImageFilter
from .helper import assert_image_equal
try:
import numpy
except ImportError:
numpy = None
class TestColorLut3DCoreAPI:
def generate_identity_table(self, channels, size):
if isinstance(size, tuple):
size_1d, size_2d, size_3d = size
else:
size_1d, size_2d, size_3d = (size, size, size)
table = [
[
r / (size_1d - 1) if size_1d != 1 else 0,
g / (size_2d - 1) if size_2d != 1 else 0,
b / (size_3d - 1) if size_3d != 1 else 0,
r / (size_1d - 1) if size_1d != 1 else 0,
g / (size_2d - 1) if size_2d != 1 else 0,
][:channels]
for b in range(size_3d)
for g in range(size_2d)
for r in range(size_1d)
]
return (
channels,
size_1d,
size_2d,
size_3d,
[item for sublist in table for item in sublist],
)
def test_wrong_args(self):
im = Image.new("RGB", (10, 10), 0)
with pytest.raises(ValueError, match="filter"):
im.im.color_lut_3d(
"RGB", Image.Resampling.BICUBIC, *self.generate_identity_table(3, 3)
)
with pytest.raises(ValueError, match="image mode"):
im.im.color_lut_3d(
"wrong", Image.Resampling.BILINEAR, *self.generate_identity_table(3, 3)
)
with pytest.raises(ValueError, match="table_channels"):
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, *self.generate_identity_table(5, 3)
)
with pytest.raises(ValueError, match="table_channels"):
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, *self.generate_identity_table(1, 3)
)
with pytest.raises(ValueError, match="table_channels"):
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, *self.generate_identity_table(2, 3)
)
with pytest.raises(ValueError, match="Table size"):
im.im.color_lut_3d(
"RGB",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, (1, 3, 3)),
)
with pytest.raises(ValueError, match="Table size"):
im.im.color_lut_3d(
"RGB",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, (66, 3, 3)),
)
with pytest.raises(ValueError, match=r"size1D \* size2D \* size3D"):
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, 3, 2, 2, 2, [0, 0, 0] * 7
)
with pytest.raises(ValueError, match=r"size1D \* size2D \* size3D"):
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, 3, 2, 2, 2, [0, 0, 0] * 9
)
with pytest.raises(TypeError):
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, 3, 2, 2, 2, [0, 0, "0"] * 8
)
with pytest.raises(TypeError):
im.im.color_lut_3d("RGB", Image.Resampling.BILINEAR, 3, 2, 2, 2, 16)
def test_correct_args(self):
im = Image.new("RGB", (10, 10), 0)
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, *self.generate_identity_table(3, 3)
)
im.im.color_lut_3d(
"CMYK", Image.Resampling.BILINEAR, *self.generate_identity_table(4, 3)
)
im.im.color_lut_3d(
"RGB",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, (2, 3, 3)),
)
im.im.color_lut_3d(
"RGB",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, (65, 3, 3)),
)
im.im.color_lut_3d(
"RGB",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, (3, 65, 3)),
)
im.im.color_lut_3d(
"RGB",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, (3, 3, 65)),
)
def test_wrong_mode(self):
with pytest.raises(ValueError, match="wrong mode"):
im = Image.new("L", (10, 10), 0)
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, *self.generate_identity_table(3, 3)
)
with pytest.raises(ValueError, match="wrong mode"):
im = Image.new("RGB", (10, 10), 0)
im.im.color_lut_3d(
"L", Image.Resampling.BILINEAR, *self.generate_identity_table(3, 3)
)
with pytest.raises(ValueError, match="wrong mode"):
im = Image.new("L", (10, 10), 0)
im.im.color_lut_3d(
"L", Image.Resampling.BILINEAR, *self.generate_identity_table(3, 3)
)
with pytest.raises(ValueError, match="wrong mode"):
im = Image.new("RGB", (10, 10), 0)
im.im.color_lut_3d(
"RGBA", Image.Resampling.BILINEAR, *self.generate_identity_table(3, 3)
)
with pytest.raises(ValueError, match="wrong mode"):
im = Image.new("RGB", (10, 10), 0)
im.im.color_lut_3d(
"RGB", Image.Resampling.BILINEAR, *self.generate_identity_table(4, 3)
)
def test_correct_mode(self):
im = Image.new("RGBA", (10, 10), 0)
im.im.color_lut_3d(
"RGBA", Image.Resampling.BILINEAR, *self.generate_identity_table(3, 3)
)
im = Image.new("RGBA", (10, 10), 0)
im.im.color_lut_3d(
"RGBA", Image.Resampling.BILINEAR, *self.generate_identity_table(4, 3)
)
im = Image.new("RGB", (10, 10), 0)
im.im.color_lut_3d(
"HSV", Image.Resampling.BILINEAR, *self.generate_identity_table(3, 3)
)
im = Image.new("RGB", (10, 10), 0)
im.im.color_lut_3d(
"RGBA", Image.Resampling.BILINEAR, *self.generate_identity_table(4, 3)
)
def test_identities(self):
g = Image.linear_gradient("L")
im = Image.merge(
"RGB",
[
g,
g.transpose(Image.Transpose.ROTATE_90),
g.transpose(Image.Transpose.ROTATE_180),
],
)
# Fast test with small cubes
for size in [2, 3, 5, 7, 11, 16, 17]:
assert_image_equal(
im,
im._new(
im.im.color_lut_3d(
"RGB",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, size),
)
),
)
# Not so fast
assert_image_equal(
im,
im._new(
im.im.color_lut_3d(
"RGB",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, (2, 2, 65)),
)
),
)
def test_identities_4_channels(self):
g = Image.linear_gradient("L")
im = Image.merge(
"RGB",
[
g,
g.transpose(Image.Transpose.ROTATE_90),
g.transpose(Image.Transpose.ROTATE_180),
],
)
# Red channel copied to alpha
assert_image_equal(
Image.merge("RGBA", (im.split() * 2)[:4]),
im._new(
im.im.color_lut_3d(
"RGBA",
Image.Resampling.BILINEAR,
*self.generate_identity_table(4, 17),
)
),
)
def test_copy_alpha_channel(self):
g = Image.linear_gradient("L")
im = Image.merge(
"RGBA",
[
g,
g.transpose(Image.Transpose.ROTATE_90),
g.transpose(Image.Transpose.ROTATE_180),
g.transpose(Image.Transpose.ROTATE_270),
],
)
assert_image_equal(
im,
im._new(
im.im.color_lut_3d(
"RGBA",
Image.Resampling.BILINEAR,
*self.generate_identity_table(3, 17),
)
),
)
def test_channels_order(self):
g = Image.linear_gradient("L")
im = Image.merge(
"RGB",
[
g,
g.transpose(Image.Transpose.ROTATE_90),
g.transpose(Image.Transpose.ROTATE_180),
],
)
# Reverse channels by splitting and using table
# fmt: off
assert_image_equal(
Image.merge('RGB', im.split()[::-1]),
im._new(im.im.color_lut_3d('RGB', Image.Resampling.BILINEAR,
3, 2, 2, 2, [
0, 0, 0, 0, 0, 1,
0, 1, 0, 0, 1, 1,
1, 0, 0, 1, 0, 1,
1, 1, 0, 1, 1, 1,
])))
# fmt: on
def test_overflow(self):
g = Image.linear_gradient("L")
im = Image.merge(
"RGB",
[
g,
g.transpose(Image.Transpose.ROTATE_90),
g.transpose(Image.Transpose.ROTATE_180),
],
)
# fmt: off
transformed = im._new(im.im.color_lut_3d('RGB', Image.Resampling.BILINEAR,
3, 2, 2, 2,
[
-1, -1, -1, 2, -1, -1,
-1, 2, -1, 2, 2, -1,
-1, -1, 2, 2, -1, 2,
-1, 2, 2, 2, 2, 2,
])).load()
# fmt: on
assert transformed[0, 0] == (0, 0, 255)
assert transformed[50, 50] == (0, 0, 255)
assert transformed[255, 0] == (0, 255, 255)
assert transformed[205, 50] == (0, 255, 255)
assert transformed[0, 255] == (255, 0, 0)
assert transformed[50, 205] == (255, 0, 0)
assert transformed[255, 255] == (255, 255, 0)
assert transformed[205, 205] == (255, 255, 0)
# fmt: off
transformed = im._new(im.im.color_lut_3d('RGB', Image.Resampling.BILINEAR,
3, 2, 2, 2,
[
-3, -3, -3, 5, -3, -3,
-3, 5, -3, 5, 5, -3,
-3, -3, 5, 5, -3, 5,
-3, 5, 5, 5, 5, 5,
])).load()
# fmt: on
assert transformed[0, 0] == (0, 0, 255)
assert transformed[50, 50] == (0, 0, 255)
assert transformed[255, 0] == (0, 255, 255)
assert transformed[205, 50] == (0, 255, 255)
assert transformed[0, 255] == (255, 0, 0)
assert transformed[50, 205] == (255, 0, 0)
assert transformed[255, 255] == (255, 255, 0)
assert transformed[205, 205] == (255, 255, 0)
class TestColorLut3DFilter:
def test_wrong_args(self):
with pytest.raises(ValueError, match="should be either an integer"):
ImageFilter.Color3DLUT("small", [1])
with pytest.raises(ValueError, match="should be either an integer"):
ImageFilter.Color3DLUT((11, 11), [1])
with pytest.raises(ValueError, match=r"in \[2, 65\] range"):
ImageFilter.Color3DLUT((11, 11, 1), [1])
with pytest.raises(ValueError, match=r"in \[2, 65\] range"):
ImageFilter.Color3DLUT((11, 11, 66), [1])
with pytest.raises(ValueError, match="table should have .+ items"):
ImageFilter.Color3DLUT((3, 3, 3), [1, 1, 1])
with pytest.raises(ValueError, match="table should have .+ items"):
ImageFilter.Color3DLUT((3, 3, 3), [[1, 1, 1]] * 2)
with pytest.raises(ValueError, match="should have a length of 4"):
ImageFilter.Color3DLUT((3, 3, 3), [[1, 1, 1]] * 27, channels=4)
with pytest.raises(ValueError, match="should have a length of 3"):
ImageFilter.Color3DLUT((2, 2, 2), [[1, 1]] * 8)
with pytest.raises(ValueError, match="Only 3 or 4 output"):
ImageFilter.Color3DLUT((2, 2, 2), [[1, 1]] * 8, channels=2)
def test_convert_table(self):
lut = ImageFilter.Color3DLUT(2, [0, 1, 2] * 8)
assert tuple(lut.size) == (2, 2, 2)
assert lut.name == "Color 3D LUT"
# fmt: off
lut = ImageFilter.Color3DLUT((2, 2, 2), [
(0, 1, 2), (3, 4, 5), (6, 7, 8), (9, 10, 11),
(12, 13, 14), (15, 16, 17), (18, 19, 20), (21, 22, 23)])
# fmt: on
assert tuple(lut.size) == (2, 2, 2)
assert lut.table == list(range(24))
lut = ImageFilter.Color3DLUT((2, 2, 2), [(0, 1, 2, 3)] * 8, channels=4)
assert tuple(lut.size) == (2, 2, 2)
assert lut.table == list(range(4)) * 8
@pytest.mark.skipif(numpy is None, reason="NumPy not installed")
def test_numpy_sources(self):
table = numpy.ones((5, 6, 7, 3), dtype=numpy.float16)
with pytest.raises(ValueError, match="should have either channels"):
lut = ImageFilter.Color3DLUT((5, 6, 7), table)
table = numpy.ones((7, 6, 5, 3), dtype=numpy.float16)
lut = ImageFilter.Color3DLUT((5, 6, 7), table)
assert isinstance(lut.table, numpy.ndarray)
assert lut.table.dtype == table.dtype
assert lut.table.shape == (table.size,)
table = numpy.ones((7 * 6 * 5, 3), dtype=numpy.float16)
lut = ImageFilter.Color3DLUT((5, 6, 7), table)
assert lut.table.shape == (table.size,)
table = numpy.ones((7 * 6 * 5 * 3), dtype=numpy.float16)
lut = ImageFilter.Color3DLUT((5, 6, 7), table)
assert lut.table.shape == (table.size,)
# Check application
Image.new("RGB", (10, 10), 0).filter(lut)
# Check copy
table[0] = 33
assert lut.table[0] == 1
# Check not copy
table = numpy.ones((7 * 6 * 5 * 3), dtype=numpy.float16)
lut = ImageFilter.Color3DLUT((5, 6, 7), table, _copy_table=False)
table[0] = 33
assert lut.table[0] == 33
@pytest.mark.skipif(numpy is None, reason="NumPy not installed")
def test_numpy_formats(self):
g = Image.linear_gradient("L")
im = Image.merge(
"RGB",
[
g,
g.transpose(Image.Transpose.ROTATE_90),
g.transpose(Image.Transpose.ROTATE_180),
],
)
lut = ImageFilter.Color3DLUT.generate((7, 9, 11), lambda r, g, b: (r, g, b))
lut.table = numpy.array(lut.table, dtype=numpy.float32)[:-1]
with pytest.raises(ValueError, match="should have table_channels"):
im.filter(lut)
lut = ImageFilter.Color3DLUT.generate((7, 9, 11), lambda r, g, b: (r, g, b))
lut.table = numpy.array(lut.table, dtype=numpy.float32).reshape((7 * 9 * 11), 3)
with pytest.raises(ValueError, match="should have table_channels"):
im.filter(lut)
lut = ImageFilter.Color3DLUT.generate((7, 9, 11), lambda r, g, b: (r, g, b))
lut.table = numpy.array(lut.table, dtype=numpy.float16)
assert_image_equal(im, im.filter(lut))
lut = ImageFilter.Color3DLUT.generate((7, 9, 11), lambda r, g, b: (r, g, b))
lut.table = numpy.array(lut.table, dtype=numpy.float32)
assert_image_equal(im, im.filter(lut))
lut = ImageFilter.Color3DLUT.generate((7, 9, 11), lambda r, g, b: (r, g, b))
lut.table = numpy.array(lut.table, dtype=numpy.float64)
assert_image_equal(im, im.filter(lut))
lut = ImageFilter.Color3DLUT.generate((7, 9, 11), lambda r, g, b: (r, g, b))
lut.table = numpy.array(lut.table, dtype=numpy.int32)
im.filter(lut)
lut.table = numpy.array(lut.table, dtype=numpy.int8)
im.filter(lut)
def test_repr(self):
lut = ImageFilter.Color3DLUT(2, [0, 1, 2] * 8)
assert repr(lut) == "<Color3DLUT from list size=2x2x2 channels=3>"
lut = ImageFilter.Color3DLUT(
(3, 4, 5),
array("f", [0, 0, 0, 0] * (3 * 4 * 5)),
channels=4,
target_mode="YCbCr",
_copy_table=False,
)
assert (
repr(lut)
== "<Color3DLUT from array size=3x4x5 channels=4 target_mode=YCbCr>"
)
class TestGenerateColorLut3D:
def test_wrong_channels_count(self):
with pytest.raises(ValueError, match="3 or 4 output channels"):
ImageFilter.Color3DLUT.generate(
5, channels=2, callback=lambda r, g, b: (r, g, b)
)
with pytest.raises(ValueError, match="should have either channels"):
ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b, r))
with pytest.raises(ValueError, match="should have either channels"):
ImageFilter.Color3DLUT.generate(
5, channels=4, callback=lambda r, g, b: (r, g, b)
)
def test_3_channels(self):
lut = ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b))
assert tuple(lut.size) == (5, 5, 5)
assert lut.name == "Color 3D LUT"
# fmt: off
assert lut.table[:24] == [
0.0, 0.0, 0.0, 0.25, 0.0, 0.0, 0.5, 0.0, 0.0, 0.75, 0.0, 0.0,
1.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.25, 0.25, 0.0, 0.5, 0.25, 0.0]
# fmt: on
def test_4_channels(self):
lut = ImageFilter.Color3DLUT.generate(
5, channels=4, callback=lambda r, g, b: (b, r, g, (r + g + b) / 2)
)
assert tuple(lut.size) == (5, 5, 5)
assert lut.name == "Color 3D LUT"
# fmt: off
assert lut.table[:24] == [
0.0, 0.0, 0.0, 0.0, 0.0, 0.25, 0.0, 0.125, 0.0, 0.5, 0.0, 0.25,
0.0, 0.75, 0.0, 0.375, 0.0, 1.0, 0.0, 0.5, 0.0, 0.0, 0.25, 0.125
]
# fmt: on
def test_apply(self):
lut = ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b))
g = Image.linear_gradient("L")
im = Image.merge(
"RGB",
[
g,
g.transpose(Image.Transpose.ROTATE_90),
g.transpose(Image.Transpose.ROTATE_180),
],
)
assert im == im.filter(lut)
class TestTransformColorLut3D:
def test_wrong_args(self):
source = ImageFilter.Color3DLUT.generate(5, lambda r, g, b: (r, g, b))
with pytest.raises(ValueError, match="Only 3 or 4 output"):
source.transform(lambda r, g, b: (r, g, b), channels=8)
with pytest.raises(ValueError, match="should have either channels"):
source.transform(lambda r, g, b: (r, g, b), channels=4)
with pytest.raises(ValueError, match="should have either channels"):
source.transform(lambda r, g, b: (r, g, b, 1))
with pytest.raises(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))
assert lut.mode == "HSV"
lut = source.transform(lambda r, g, b: (r, g, b), target_mode="RGB")
assert 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))
assert tuple(lut.size) == tuple(source.size)
assert len(lut.table) == len(source.table)
assert lut.table != source.table
assert lut.table[: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)
assert tuple(lut.size) == tuple(source.size)
assert len(lut.table) != len(source.table)
assert lut.table != source.table
# fmt: off
assert lut.table[: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]
# fmt: on
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
)
assert tuple(lut.size) == tuple(source.size)
assert len(lut.table) != len(source.table)
assert lut.table != source.table
# fmt: off
assert lut.table[: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]
# fmt: on
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))
assert tuple(lut.size) == tuple(source.size)
assert len(lut.table) == len(source.table)
assert lut.table != source.table
# fmt: off
assert lut.table[: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]
# fmt: on
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
)
assert tuple(lut.size) == tuple(source.size)
assert len(lut.table) == len(source.table)
assert lut.table != source.table
# fmt: off
assert lut.table[: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]
# fmt: on
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,
)
assert tuple(lut.size) == tuple(source.size)
assert len(lut.table) == len(source.table)
assert lut.table != source.table
# fmt: off
assert lut.table[: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]
# fmt: on