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115 lines
3.2 KiB
Python
115 lines
3.2 KiB
Python
from __future__ import annotations
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from collections.abc import Generator
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import pytest
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from PIL import Image, ImageFile, ImageFilter
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@pytest.fixture
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def test_images() -> Generator[dict[str, ImageFile.ImageFile], None, None]:
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ims = {
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"im": Image.open("Tests/images/hopper.ppm"),
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"snakes": Image.open("Tests/images/color_snakes.png"),
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}
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try:
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yield ims
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finally:
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for im in ims.values():
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im.close()
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def test_filter_api(test_images: dict[str, ImageFile.ImageFile]) -> None:
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im = test_images["im"]
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test_filter = ImageFilter.GaussianBlur(2.0)
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i = im.filter(test_filter)
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assert i.mode == "RGB"
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assert i.size == (128, 128)
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test_filter2 = ImageFilter.UnsharpMask(2.0, 125, 8)
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i = im.filter(test_filter2)
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assert i.mode == "RGB"
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assert i.size == (128, 128)
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def test_usm_formats(test_images: dict[str, ImageFile.ImageFile]) -> None:
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im = test_images["im"]
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usm = ImageFilter.UnsharpMask
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with pytest.raises(ValueError):
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im.convert("1").filter(usm)
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im.convert("L").filter(usm)
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with pytest.raises(ValueError):
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im.convert("I").filter(usm)
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with pytest.raises(ValueError):
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im.convert("F").filter(usm)
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im.convert("RGB").filter(usm)
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im.convert("RGBA").filter(usm)
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im.convert("CMYK").filter(usm)
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with pytest.raises(ValueError):
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im.convert("YCbCr").filter(usm)
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def test_blur_formats(test_images: dict[str, ImageFile.ImageFile]) -> None:
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im = test_images["im"]
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blur = ImageFilter.GaussianBlur
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with pytest.raises(ValueError):
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im.convert("1").filter(blur)
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with pytest.raises(ValueError):
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im.convert("I").filter(blur)
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with pytest.raises(ValueError):
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im.convert("F").filter(blur)
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im.convert("RGB").filter(blur)
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im.convert("RGBA").filter(blur)
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im.convert("CMYK").filter(blur)
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with pytest.raises(ValueError):
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im.convert("YCbCr").filter(blur)
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def test_usm_accuracy(test_images: dict[str, ImageFile.ImageFile]) -> None:
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snakes = test_images["snakes"]
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src = snakes.convert("RGB")
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i = src.filter(ImageFilter.UnsharpMask(5, 1024, 0))
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# Image should not be changed because it have only 0 and 255 levels.
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assert i.tobytes() == src.tobytes()
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def test_blur_accuracy(test_images: dict[str, ImageFile.ImageFile]) -> None:
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snakes = test_images["snakes"]
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i = snakes.filter(ImageFilter.GaussianBlur(0.4))
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# These pixels surrounded with pixels with 255 intensity.
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# They must be very close to 255.
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for x, y, c in [
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(1, 0, 1),
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(2, 0, 1),
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(7, 8, 1),
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(8, 8, 1),
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(2, 9, 1),
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(7, 3, 0),
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(8, 3, 0),
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(5, 8, 0),
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(5, 9, 0),
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(1, 3, 0),
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(4, 3, 2),
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(4, 2, 2),
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]:
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assert i.im.getpixel((x, y))[c] >= 250
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# Fuzzy match.
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def gp(x: int, y: int) -> tuple[int, ...]:
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return i.im.getpixel((x, y))
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assert 236 <= gp(7, 4)[0] <= 239
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assert 236 <= gp(7, 5)[2] <= 239
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assert 236 <= gp(7, 6)[2] <= 239
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assert 236 <= gp(7, 7)[1] <= 239
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assert 236 <= gp(8, 4)[0] <= 239
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assert 236 <= gp(8, 5)[2] <= 239
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assert 236 <= gp(8, 6)[2] <= 239
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assert 236 <= gp(8, 7)[1] <= 239
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