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|
from __future__ import annotations
import pytest
from PIL import Image, ImageFilter
from .helper import assert_image_equal, hopper
@pytest.mark.parametrize(
"filter_to_apply",
(
ImageFilter.BLUR,
ImageFilter.CONTOUR,
ImageFilter.DETAIL,
ImageFilter.EDGE_ENHANCE,
ImageFilter.EDGE_ENHANCE_MORE,
ImageFilter.EMBOSS,
ImageFilter.FIND_EDGES,
ImageFilter.SMOOTH,
ImageFilter.SMOOTH_MORE,
ImageFilter.SHARPEN,
ImageFilter.MaxFilter,
ImageFilter.MedianFilter,
ImageFilter.MinFilter,
ImageFilter.ModeFilter,
ImageFilter.GaussianBlur,
ImageFilter.GaussianBlur(0),
ImageFilter.GaussianBlur(5),
ImageFilter.GaussianBlur((2, 5)),
ImageFilter.BoxBlur(0),
ImageFilter.BoxBlur(5),
ImageFilter.BoxBlur((2, 5)),
ImageFilter.UnsharpMask,
ImageFilter.UnsharpMask(10),
),
)
@pytest.mark.parametrize(
"mode", ("L", "I", "I;16", "I;16L", "I;16B", "I;16N", "RGB", "CMYK")
)
def test_sanity(
filter_to_apply: ImageFilter.Filter | type[ImageFilter.Filter], mode: str
) -> None:
im = hopper(mode)
if mode[0] != "I" or (
callable(filter_to_apply)
and issubclass(filter_to_apply, ImageFilter.BuiltinFilter)
):
out = im.filter(filter_to_apply)
assert out.mode == im.mode
assert out.size == im.size
@pytest.mark.parametrize(
"mode", ("L", "I", "I;16", "I;16L", "I;16B", "I;16N", "RGB", "CMYK")
)
def test_sanity_error(mode: str) -> None:
im = hopper(mode)
with pytest.raises(TypeError):
im.filter("hello") # type: ignore[arg-type]
# crashes on small images
@pytest.mark.parametrize("size", ((1, 1), (2, 2), (3, 3)))
def test_crash(size: tuple[int, int]) -> None:
im = Image.new("RGB", size)
im.filter(ImageFilter.SMOOTH)
@pytest.mark.parametrize(
"mode, expected",
(
("1", (4, 0)),
("L", (4, 0)),
("P", (4, 0)),
("RGB", ((4, 0, 0), (0, 0, 0))),
),
)
def test_modefilter(
mode: str,
expected: tuple[int, int] | tuple[tuple[int, int, int], tuple[int, int, int]],
) -> None:
im = Image.new(mode, (3, 3), None)
im.putdata(list(range(9)))
# image is:
# 0 1 2
# 3 4 5
# 6 7 8
mod = im.filter(ImageFilter.ModeFilter).getpixel((1, 1))
im.putdata([0, 0, 1, 2, 5, 1, 5, 2, 0]) # mode=0
mod2 = im.filter(ImageFilter.ModeFilter).getpixel((1, 1))
assert (mod, mod2) == expected
@pytest.mark.parametrize(
"mode, expected",
(
("1", (0, 4, 8)),
("L", (0, 4, 8)),
("RGB", ((0, 0, 0), (4, 0, 0), (8, 0, 0))),
("I", (0, 4, 8)),
("F", (0.0, 4.0, 8.0)),
),
)
def test_rankfilter(
mode: str,
expected: (
tuple[float, float, float]
| tuple[tuple[int, int, int], tuple[int, int, int], tuple[int, int, int]]
),
) -> None:
im = Image.new(mode, (3, 3), None)
im.putdata(list(range(9)))
# image is:
# 0 1 2
# 3 4 5
# 6 7 8
minimum = im.filter(ImageFilter.MinFilter).getpixel((1, 1))
med = im.filter(ImageFilter.MedianFilter).getpixel((1, 1))
maximum = im.filter(ImageFilter.MaxFilter).getpixel((1, 1))
assert (minimum, med, maximum) == expected
@pytest.mark.parametrize(
"filter", (ImageFilter.MinFilter, ImageFilter.MedianFilter, ImageFilter.MaxFilter)
)
def test_rankfilter_error(filter: ImageFilter.RankFilter) -> None:
with pytest.raises(ValueError):
im = Image.new("P", (3, 3), None)
im.putdata(list(range(9)))
# image is:
# 0 1 2
# 3 4 5
# 6 7 8
im.filter(filter).getpixel((1, 1))
def test_rankfilter_properties() -> None:
rankfilter = ImageFilter.RankFilter(1, 2)
assert rankfilter.size == 1
assert rankfilter.rank == 2
def test_builtinfilter_p() -> None:
builtin_filter = ImageFilter.BuiltinFilter()
with pytest.raises(ValueError):
builtin_filter.filter(hopper("P").im)
def test_kernel_not_enough_coefficients() -> None:
with pytest.raises(ValueError):
ImageFilter.Kernel((3, 3), (0, 0))
@pytest.mark.parametrize(
"mode", ("L", "LA", "I", "I;16", "I;16L", "I;16B", "I;16N", "RGB", "CMYK")
)
def test_consistency_3x3(mode: str) -> None:
with Image.open("Tests/images/hopper.bmp") as source:
with Image.open("Tests/images/hopper_emboss.bmp") as reference:
kernel = ImageFilter.Kernel(
(3, 3),
# fmt: off
(-1, -1, 0,
-1, 0, 1,
0, 1, 1),
# fmt: on
0.3,
)
assert_image_equal(source.filter(kernel), reference)
@pytest.mark.parametrize(
"mode", ("L", "LA", "I", "I;16", "I;16L", "I;16B", "I;16N", "RGB", "CMYK")
)
def test_consistency_5x5(mode: str) -> None:
with Image.open("Tests/images/hopper.bmp") as source:
with Image.open("Tests/images/hopper_emboss_more.bmp") as reference:
kernel = ImageFilter.Kernel(
(5, 5),
# fmt: off
(-1, -1, -1, -1, 0,
-1, -1, -1, 0, 1,
-1, -1, 0, 1, 1,
-1, 0, 1, 1, 1,
0, 1, 1, 1, 1),
# fmt: on
0.3,
)
assert_image_equal(source.filter(kernel), reference)
@pytest.mark.parametrize(
"radius",
(
-2,
(-2, -2),
(-2, 2),
(2, -2),
),
)
def test_invalid_box_blur_filter(radius: int | tuple[int, int]) -> None:
with pytest.raises(ValueError):
ImageFilter.BoxBlur(radius)
im = hopper()
box_blur_filter = ImageFilter.BoxBlur(2)
box_blur_filter.radius = radius
with pytest.raises(ValueError):
im.filter(box_blur_filter)
|
