mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-09-20 19:08:58 +03:00
115 lines
3.2 KiB
Python
115 lines
3.2 KiB
Python
from __future__ import annotations
|
|
|
|
from collections.abc import Generator
|
|
|
|
import pytest
|
|
|
|
from PIL import Image, ImageFile, ImageFilter
|
|
|
|
|
|
@pytest.fixture
|
|
def test_images() -> Generator[dict[str, ImageFile.ImageFile], None, None]:
|
|
ims = {
|
|
"im": Image.open("Tests/images/hopper.ppm"),
|
|
"snakes": Image.open("Tests/images/color_snakes.png"),
|
|
}
|
|
try:
|
|
yield ims
|
|
finally:
|
|
for im in ims.values():
|
|
im.close()
|
|
|
|
|
|
def test_filter_api(test_images: dict[str, ImageFile.ImageFile]) -> None:
|
|
im = test_images["im"]
|
|
|
|
test_filter = ImageFilter.GaussianBlur(2.0)
|
|
i = im.filter(test_filter)
|
|
assert i.mode == "RGB"
|
|
assert i.size == (128, 128)
|
|
|
|
test_filter2 = ImageFilter.UnsharpMask(2.0, 125, 8)
|
|
i = im.filter(test_filter2)
|
|
assert i.mode == "RGB"
|
|
assert i.size == (128, 128)
|
|
|
|
|
|
def test_usm_formats(test_images: dict[str, ImageFile.ImageFile]) -> None:
|
|
im = test_images["im"]
|
|
|
|
usm = ImageFilter.UnsharpMask
|
|
with pytest.raises(ValueError):
|
|
im.convert("1").filter(usm)
|
|
im.convert("L").filter(usm)
|
|
with pytest.raises(ValueError):
|
|
im.convert("I").filter(usm)
|
|
with pytest.raises(ValueError):
|
|
im.convert("F").filter(usm)
|
|
im.convert("RGB").filter(usm)
|
|
im.convert("RGBA").filter(usm)
|
|
im.convert("CMYK").filter(usm)
|
|
with pytest.raises(ValueError):
|
|
im.convert("YCbCr").filter(usm)
|
|
|
|
|
|
def test_blur_formats(test_images: dict[str, ImageFile.ImageFile]) -> None:
|
|
im = test_images["im"]
|
|
|
|
blur = ImageFilter.GaussianBlur
|
|
with pytest.raises(ValueError):
|
|
im.convert("1").filter(blur)
|
|
with pytest.raises(ValueError):
|
|
im.convert("I").filter(blur)
|
|
with pytest.raises(ValueError):
|
|
im.convert("F").filter(blur)
|
|
im.convert("RGB").filter(blur)
|
|
im.convert("RGBA").filter(blur)
|
|
im.convert("CMYK").filter(blur)
|
|
with pytest.raises(ValueError):
|
|
im.convert("YCbCr").filter(blur)
|
|
|
|
|
|
def test_usm_accuracy(test_images: dict[str, ImageFile.ImageFile]) -> None:
|
|
snakes = test_images["snakes"]
|
|
|
|
src = snakes.convert("RGB")
|
|
i = src.filter(ImageFilter.UnsharpMask(5, 1024, 0))
|
|
# Image should not be changed because it have only 0 and 255 levels.
|
|
assert i.tobytes() == src.tobytes()
|
|
|
|
|
|
def test_blur_accuracy(test_images: dict[str, ImageFile.ImageFile]) -> None:
|
|
snakes = test_images["snakes"]
|
|
|
|
i = snakes.filter(ImageFilter.GaussianBlur(0.4))
|
|
# These pixels surrounded with pixels with 255 intensity.
|
|
# They must be very close to 255.
|
|
for x, y, c in [
|
|
(1, 0, 1),
|
|
(2, 0, 1),
|
|
(7, 8, 1),
|
|
(8, 8, 1),
|
|
(2, 9, 1),
|
|
(7, 3, 0),
|
|
(8, 3, 0),
|
|
(5, 8, 0),
|
|
(5, 9, 0),
|
|
(1, 3, 0),
|
|
(4, 3, 2),
|
|
(4, 2, 2),
|
|
]:
|
|
assert i.im.getpixel((x, y))[c] >= 250
|
|
# Fuzzy match.
|
|
|
|
def gp(x: int, y: int) -> tuple[int, ...]:
|
|
return i.im.getpixel((x, y))
|
|
|
|
assert 236 <= gp(7, 4)[0] <= 239
|
|
assert 236 <= gp(7, 5)[2] <= 239
|
|
assert 236 <= gp(7, 6)[2] <= 239
|
|
assert 236 <= gp(7, 7)[1] <= 239
|
|
assert 236 <= gp(8, 4)[0] <= 239
|
|
assert 236 <= gp(8, 5)[2] <= 239
|
|
assert 236 <= gp(8, 6)[2] <= 239
|
|
assert 236 <= gp(8, 7)[1] <= 239
|