mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-12-30 20:06:17 +03:00
240 lines
7.1 KiB
Python
240 lines
7.1 KiB
Python
import pytest
|
|
|
|
from PIL import Image
|
|
|
|
from .helper import assert_deep_equal, assert_image, hopper
|
|
|
|
numpy = pytest.importorskip("numpy", reason="NumPy not installed")
|
|
|
|
TEST_IMAGE_SIZE = (10, 10)
|
|
|
|
|
|
def test_numpy_to_image():
|
|
def to_image(dtype, bands=1, boolean=0):
|
|
if bands == 1:
|
|
if boolean:
|
|
data = [0, 255] * 50
|
|
else:
|
|
data = list(range(100))
|
|
a = numpy.array(data, dtype=dtype)
|
|
a.shape = TEST_IMAGE_SIZE
|
|
i = Image.fromarray(a)
|
|
if list(i.getdata()) != data:
|
|
print("data mismatch for", dtype)
|
|
else:
|
|
data = list(range(100))
|
|
a = numpy.array([[x] * bands for x in data], dtype=dtype)
|
|
a.shape = TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1], bands
|
|
i = Image.fromarray(a)
|
|
if list(i.getchannel(0).getdata()) != list(range(100)):
|
|
print("data mismatch for", dtype)
|
|
return i
|
|
|
|
# Check supported 1-bit integer formats
|
|
assert_image(to_image(bool, 1, 1), "1", TEST_IMAGE_SIZE)
|
|
assert_image(to_image(numpy.bool8, 1, 1), "1", TEST_IMAGE_SIZE)
|
|
|
|
# Check supported 8-bit integer formats
|
|
assert_image(to_image(numpy.uint8), "L", TEST_IMAGE_SIZE)
|
|
assert_image(to_image(numpy.uint8, 3), "RGB", TEST_IMAGE_SIZE)
|
|
assert_image(to_image(numpy.uint8, 4), "RGBA", TEST_IMAGE_SIZE)
|
|
assert_image(to_image(numpy.int8), "I", TEST_IMAGE_SIZE)
|
|
|
|
# Check non-fixed-size integer types
|
|
# These may fail, depending on the platform, since we have no native
|
|
# 64-bit int image types.
|
|
# assert_image(to_image(numpy.uint), "I", TEST_IMAGE_SIZE)
|
|
# assert_image(to_image(numpy.int), "I", TEST_IMAGE_SIZE)
|
|
|
|
# Check 16-bit integer formats
|
|
if Image._ENDIAN == "<":
|
|
assert_image(to_image(numpy.uint16), "I;16", TEST_IMAGE_SIZE)
|
|
else:
|
|
assert_image(to_image(numpy.uint16), "I;16B", TEST_IMAGE_SIZE)
|
|
|
|
assert_image(to_image(numpy.int16), "I", TEST_IMAGE_SIZE)
|
|
|
|
# Check 32-bit integer formats
|
|
assert_image(to_image(numpy.uint32), "I", TEST_IMAGE_SIZE)
|
|
assert_image(to_image(numpy.int32), "I", TEST_IMAGE_SIZE)
|
|
|
|
# Check 64-bit integer formats
|
|
with pytest.raises(TypeError):
|
|
to_image(numpy.uint64)
|
|
with pytest.raises(TypeError):
|
|
to_image(numpy.int64)
|
|
|
|
# Check floating-point formats
|
|
assert_image(to_image(float), "F", TEST_IMAGE_SIZE)
|
|
with pytest.raises(TypeError):
|
|
to_image(numpy.float16)
|
|
assert_image(to_image(numpy.float32), "F", TEST_IMAGE_SIZE)
|
|
assert_image(to_image(numpy.float64), "F", TEST_IMAGE_SIZE)
|
|
|
|
assert_image(to_image(numpy.uint8, 2), "LA", (10, 10))
|
|
assert_image(to_image(numpy.uint8, 3), "RGB", (10, 10))
|
|
assert_image(to_image(numpy.uint8, 4), "RGBA", (10, 10))
|
|
|
|
|
|
# Based on an erring example at
|
|
# https://stackoverflow.com/questions/10854903/what-is-causing-dimension-dependent-attributeerror-in-pil-fromarray-function
|
|
def test_3d_array():
|
|
size = (5, TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1])
|
|
a = numpy.ones(size, dtype=numpy.uint8)
|
|
assert_image(Image.fromarray(a[1, :, :]), "L", TEST_IMAGE_SIZE)
|
|
size = (TEST_IMAGE_SIZE[0], 5, TEST_IMAGE_SIZE[1])
|
|
a = numpy.ones(size, dtype=numpy.uint8)
|
|
assert_image(Image.fromarray(a[:, 1, :]), "L", TEST_IMAGE_SIZE)
|
|
size = (TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1], 5)
|
|
a = numpy.ones(size, dtype=numpy.uint8)
|
|
assert_image(Image.fromarray(a[:, :, 1]), "L", TEST_IMAGE_SIZE)
|
|
|
|
|
|
def test_1d_array():
|
|
a = numpy.ones(5, dtype=numpy.uint8)
|
|
assert_image(Image.fromarray(a), "L", (1, 5))
|
|
|
|
|
|
def _test_img_equals_nparray(img, np):
|
|
assert len(np.shape) >= 2
|
|
np_size = np.shape[1], np.shape[0]
|
|
assert img.size == np_size
|
|
px = img.load()
|
|
for x in range(0, img.size[0], int(img.size[0] / 10)):
|
|
for y in range(0, img.size[1], int(img.size[1] / 10)):
|
|
assert_deep_equal(px[x, y], np[y, x])
|
|
|
|
|
|
def test_16bit():
|
|
with Image.open("Tests/images/16bit.cropped.tif") as img:
|
|
np_img = numpy.array(img)
|
|
_test_img_equals_nparray(img, np_img)
|
|
assert np_img.dtype == numpy.dtype("<u2")
|
|
|
|
|
|
def test_1bit():
|
|
# Test that 1-bit arrays convert to numpy and back
|
|
# See: https://github.com/python-pillow/Pillow/issues/350
|
|
arr = numpy.array([[1, 0, 0, 1, 0], [0, 1, 0, 0, 0]], "u1")
|
|
img = Image.fromarray(arr * 255).convert("1")
|
|
assert img.mode == "1"
|
|
arr_back = numpy.array(img)
|
|
numpy.testing.assert_array_equal(arr, arr_back)
|
|
|
|
|
|
def test_save_tiff_uint16():
|
|
# Tests that we're getting the pixel value in the right byte order.
|
|
pixel_value = 0x1234
|
|
a = numpy.array(
|
|
[pixel_value] * TEST_IMAGE_SIZE[0] * TEST_IMAGE_SIZE[1], dtype=numpy.uint16
|
|
)
|
|
a.shape = TEST_IMAGE_SIZE
|
|
img = Image.fromarray(a)
|
|
|
|
img_px = img.load()
|
|
assert img_px[0, 0] == pixel_value
|
|
|
|
|
|
def test_to_array():
|
|
def _to_array(mode, dtype):
|
|
img = hopper(mode)
|
|
|
|
# Resize to non-square
|
|
img = img.crop((3, 0, 124, 127))
|
|
assert img.size == (121, 127)
|
|
|
|
np_img = numpy.array(img)
|
|
_test_img_equals_nparray(img, np_img)
|
|
assert np_img.dtype == dtype
|
|
|
|
modes = [
|
|
("L", numpy.uint8),
|
|
("I", numpy.int32),
|
|
("F", numpy.float32),
|
|
("LA", numpy.uint8),
|
|
("RGB", numpy.uint8),
|
|
("RGBA", numpy.uint8),
|
|
("RGBX", numpy.uint8),
|
|
("CMYK", numpy.uint8),
|
|
("YCbCr", numpy.uint8),
|
|
("I;16", "<u2"),
|
|
("I;16B", ">u2"),
|
|
("I;16L", "<u2"),
|
|
("HSV", numpy.uint8),
|
|
]
|
|
|
|
for mode in modes:
|
|
_to_array(*mode)
|
|
|
|
|
|
def test_point_lut():
|
|
# See https://github.com/python-pillow/Pillow/issues/439
|
|
|
|
data = list(range(256)) * 3
|
|
lut = numpy.array(data, dtype=numpy.uint8)
|
|
|
|
im = hopper()
|
|
|
|
im.point(lut)
|
|
|
|
|
|
def test_putdata():
|
|
# Shouldn't segfault
|
|
# See https://github.com/python-pillow/Pillow/issues/1008
|
|
|
|
im = Image.new("F", (150, 100))
|
|
arr = numpy.zeros((15000,), numpy.float32)
|
|
im.putdata(arr)
|
|
|
|
assert len(im.getdata()) == len(arr)
|
|
|
|
|
|
def test_roundtrip_eye():
|
|
for dtype in (
|
|
bool,
|
|
numpy.bool8,
|
|
numpy.int8,
|
|
numpy.int16,
|
|
numpy.int32,
|
|
numpy.uint8,
|
|
numpy.uint16,
|
|
numpy.uint32,
|
|
float,
|
|
numpy.float32,
|
|
numpy.float64,
|
|
):
|
|
arr = numpy.eye(10, dtype=dtype)
|
|
numpy.testing.assert_array_equal(arr, numpy.array(Image.fromarray(arr)))
|
|
|
|
|
|
def test_zero_size():
|
|
# Shouldn't cause floating point exception
|
|
# See https://github.com/python-pillow/Pillow/issues/2259
|
|
|
|
im = Image.fromarray(numpy.empty((0, 0), dtype=numpy.uint8))
|
|
|
|
assert im.size == (0, 0)
|
|
|
|
|
|
def test_bool():
|
|
# https://github.com/python-pillow/Pillow/issues/2044
|
|
a = numpy.zeros((10, 2), dtype=bool)
|
|
a[0][0] = True
|
|
|
|
im2 = Image.fromarray(a)
|
|
assert im2.getdata()[0] == 255
|
|
|
|
|
|
def test_no_resource_warning_for_numpy_array():
|
|
# https://github.com/python-pillow/Pillow/issues/835
|
|
# Arrange
|
|
from numpy import array
|
|
|
|
test_file = "Tests/images/hopper.png"
|
|
with Image.open(test_file) as im:
|
|
|
|
# Act/Assert
|
|
with pytest.warns(None) as record:
|
|
array(im)
|
|
assert not record
|