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import warnings
import imageio.v3 as iio
import numpy as np
import pytest
pytest.importorskip("imageio.plugins.opencv")
import cv2 # noqa: E402
def test_basic_reading(test_images, tmp_path):
img_expected = iio.imread(test_images / "chelsea.png")
img = iio.imread(test_images / "chelsea.png", plugin="opencv")
assert img.shape == (300, 451, 3)
assert np.allclose(img, img_expected)
img = iio.imread(
test_images / "chelsea.png", plugin="opencv", colorspace=cv2.COLOR_BGR2RGBA
)
img2 = iio.imread(test_images / "chelsea.png", plugin="opencv", colorspace="RGBA")
assert img.shape == (300, 451, 4)
assert np.allclose(img, img2)
img_expected = iio.imread(test_images / "camera.png")
img = iio.imread(
test_images / "camera.png", plugin="opencv", flags=cv2.IMREAD_ANYCOLOR
)
assert img.shape == (512, 512)
assert np.allclose(img, img_expected)
img_expected = iio.imread(test_images / "astronaut.png", mode="RGBA")
iio.imwrite(tmp_path / "test.png", img_expected)
img = iio.imread(tmp_path / "test.png", plugin="opencv", flags=cv2.IMREAD_UNCHANGED)
assert img.shape == (512, 512, 4)
assert np.allclose(img, img_expected)
with pytest.raises(IOError):
iio.imread("nonexistant.png", plugin="opencv")
def test_bytes_reading(test_images):
img_expected = iio.imread(test_images / "chelsea.png")
encoded_image = (test_images / "chelsea.png").read_bytes()
img = iio.imread(encoded_image, plugin="opencv")
assert img.shape == (300, 451, 3)
np.allclose(img, img_expected)
def test_multi_reading(test_images, tmp_path):
img_expected = iio.imread(test_images / "newtonscradle.gif")
iio.imwrite(tmp_path / "test.tiff", img_expected)
img = iio.imread(tmp_path / "test.tiff", plugin="opencv")
assert img.shape == (36, 150, 200, 3)
np.allclose(img, img_expected)
img = iio.imread(tmp_path / "test.tiff", index=3, plugin="opencv")
assert img.shape == (150, 200, 3)
np.allclose(img, img_expected[3])
with pytest.raises(ValueError):
iio.imread(tmp_path / "test.tiff", index=200, plugin="opencv")
def test_iter(test_images, tmp_path):
img_expected = iio.imread(test_images / "newtonscradle.gif")
iio.imwrite(tmp_path / "test.tiff", img_expected)
for idx, img in enumerate(iio.imiter(tmp_path / "test.tiff", plugin="opencv")):
assert img.shape == (150, 200, 3)
np.allclose(img, img_expected[idx])
def test_writing(test_images, tmp_path):
img_expected = iio.imread(test_images / "chelsea.png")
iio.imwrite(tmp_path / "test.png", img_expected, plugin="opencv")
result = iio.imread(tmp_path / "test.png")
np.allclose(result, img_expected)
img_expected = iio.imread(test_images / "chelsea.png", mode="RGBA")
iio.imwrite(tmp_path / "test.png", img_expected, plugin="opencv")
result = iio.imread(tmp_path / "test.png")
np.allclose(result, img_expected)
img_expected = iio.imread(test_images / "camera.png")
iio.imwrite(tmp_path / "test.png", img_expected, plugin="opencv")
result = iio.imread(tmp_path / "test.png")
np.allclose(result, img_expected)
img_expected = iio.imread(test_images / "camera.png")
with pytest.raises(IOError):
iio.imwrite("no_extension", img_expected, plugin="opencv")
def test_write_bytes(test_images):
img_expected = iio.imread(test_images / "chelsea.png")
img_encoded = iio.imwrite(
"<bytes>", img_expected, plugin="opencv", extension=".png"
)
result = iio.imread(img_encoded)
np.allclose(result, img_expected)
def test_write_batch(test_images, tmp_path):
img_expected = iio.imread(test_images / "newtonscradle.gif")
iio.imwrite(tmp_path / "test.tiff", img_expected, plugin="opencv", is_batch=True)
img = iio.imread(tmp_path / "test.tiff", plugin="opencv")
np.allclose(img, img_expected)
img_list = [x for x in img_expected]
iio.imwrite(tmp_path / "test.tiff", img_list, plugin="opencv", is_batch=True)
img = iio.imread(tmp_path / "test.tiff", plugin="opencv")
np.allclose(img, img_expected)
def test_props(test_images, tmp_path):
props = iio.improps(test_images / "astronaut.png", plugin="opencv")
assert props.shape == (512, 512, 3)
assert props.dtype == np.uint8
assert props.n_images is None
assert props.is_batch is False
img_expected = iio.imread(test_images / "newtonscradle.gif")
iio.imwrite(tmp_path / "test.tiff", img_expected)
props = iio.improps(tmp_path / "test.tiff", plugin="opencv", index=...)
assert props.shape == (36, 150, 200, 3)
assert props.dtype == np.uint8
assert props.n_images == 36
assert props.is_batch is True
props = iio.improps(tmp_path / "test.tiff", plugin="opencv", index=0)
assert props.shape == (150, 200, 3)
assert props.dtype == np.uint8
assert props.n_images is None
assert props.is_batch is False
def test_metadata(test_images):
with warnings.catch_warnings(record=True):
metadata = iio.immeta(test_images / "astronaut.png", plugin="opencv")
assert metadata == dict()
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