mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-11-11 20:27:06 +03:00
4de5477b61
With the introduction and use of pytest, it is simple and easy to
execute specific tests in isolation through documented command line
arguments. Either by specifying the module path or through the `-k
EXPRESSION` argument. There is no longer any need to provide the
boilerplate:
if __name__ == '__main__':
unittest.main()
To every test file. It is simply noise.
The pattern remains in test files that aren't named with `test_*` as
those files are not discovered and executed by pytest by default.
211 lines
7.7 KiB
Python
211 lines
7.7 KiB
Python
from __future__ import print_function
|
|
|
|
from .helper import PillowTestCase, hopper, unittest
|
|
from PIL import Image
|
|
|
|
try:
|
|
import numpy
|
|
except ImportError:
|
|
numpy = None
|
|
|
|
|
|
TEST_IMAGE_SIZE = (10, 10)
|
|
|
|
|
|
@unittest.skipIf(numpy is None, "Numpy is not installed")
|
|
class TestNumpy(PillowTestCase):
|
|
def test_numpy_to_image(self):
|
|
|
|
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
|
|
self.assert_image(to_image(numpy.bool, 1, 1), '1', TEST_IMAGE_SIZE)
|
|
self.assert_image(to_image(numpy.bool8, 1, 1), '1', TEST_IMAGE_SIZE)
|
|
|
|
# Check supported 8-bit integer formats
|
|
self.assert_image(to_image(numpy.uint8), "L", TEST_IMAGE_SIZE)
|
|
self.assert_image(to_image(numpy.uint8, 3), "RGB", TEST_IMAGE_SIZE)
|
|
self.assert_image(to_image(numpy.uint8, 4), "RGBA", TEST_IMAGE_SIZE)
|
|
self.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.
|
|
# self.assert_image(to_image(numpy.uint), "I", TEST_IMAGE_SIZE)
|
|
# self.assert_image(to_image(numpy.int), "I", TEST_IMAGE_SIZE)
|
|
|
|
# Check 16-bit integer formats
|
|
if Image._ENDIAN == '<':
|
|
self.assert_image(to_image(numpy.uint16), "I;16", TEST_IMAGE_SIZE)
|
|
else:
|
|
self.assert_image(to_image(numpy.uint16), "I;16B", TEST_IMAGE_SIZE)
|
|
|
|
self.assert_image(to_image(numpy.int16), "I", TEST_IMAGE_SIZE)
|
|
|
|
# Check 32-bit integer formats
|
|
self.assert_image(to_image(numpy.uint32), "I", TEST_IMAGE_SIZE)
|
|
self.assert_image(to_image(numpy.int32), "I", TEST_IMAGE_SIZE)
|
|
|
|
# Check 64-bit integer formats
|
|
self.assertRaises(TypeError, to_image, numpy.uint64)
|
|
self.assertRaises(TypeError, to_image, numpy.int64)
|
|
|
|
# Check floating-point formats
|
|
self.assert_image(to_image(numpy.float), "F", TEST_IMAGE_SIZE)
|
|
self.assertRaises(TypeError, to_image, numpy.float16)
|
|
self.assert_image(to_image(numpy.float32), "F", TEST_IMAGE_SIZE)
|
|
self.assert_image(to_image(numpy.float64), "F", TEST_IMAGE_SIZE)
|
|
|
|
self.assert_image(to_image(numpy.uint8, 2), "LA", (10, 10))
|
|
self.assert_image(to_image(numpy.uint8, 3), "RGB", (10, 10))
|
|
self.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(self):
|
|
size = (5, TEST_IMAGE_SIZE[0], TEST_IMAGE_SIZE[1])
|
|
a = numpy.ones(size, dtype=numpy.uint8)
|
|
self.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)
|
|
self.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)
|
|
self.assert_image(Image.fromarray(a[:, :, 1]), "L", TEST_IMAGE_SIZE)
|
|
|
|
def _test_img_equals_nparray(self, img, np):
|
|
self.assertGreaterEqual(len(np.shape), 2)
|
|
np_size = np.shape[1], np.shape[0]
|
|
self.assertEqual(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)):
|
|
self.assert_deep_equal(px[x, y], np[y, x])
|
|
|
|
def test_16bit(self):
|
|
img = Image.open('Tests/images/16bit.cropped.tif')
|
|
np_img = numpy.array(img)
|
|
self._test_img_equals_nparray(img, np_img)
|
|
self.assertEqual(np_img.dtype, numpy.dtype('<u2'))
|
|
|
|
def test_1bit(self):
|
|
# 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')
|
|
self.assertEqual(img.mode, '1')
|
|
arr_back = numpy.array(img)
|
|
# numpy 1.8 and earlier return this as a boolean. (trusty/precise)
|
|
if arr_back.dtype == numpy.bool:
|
|
arr_bool = numpy.array([[1, 0, 0, 1, 0], [0, 1, 0, 0, 0]], 'bool')
|
|
numpy.testing.assert_array_equal(arr_bool, arr_back)
|
|
else:
|
|
numpy.testing.assert_array_equal(arr, arr_back)
|
|
|
|
def test_save_tiff_uint16(self):
|
|
# 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()
|
|
self.assertEqual(img_px[0, 0], pixel_value)
|
|
|
|
def test_to_array(self):
|
|
|
|
def _to_array(mode, dtype):
|
|
img = hopper(mode)
|
|
|
|
# Resize to non-square
|
|
img = img.crop((3, 0, 124, 127))
|
|
self.assertEqual(img.size, (121, 127))
|
|
|
|
np_img = numpy.array(img)
|
|
self._test_img_equals_nparray(img, np_img)
|
|
self.assertEqual(np_img.dtype, numpy.dtype(dtype))
|
|
|
|
modes = [("L", 'uint8'),
|
|
("I", 'int32'),
|
|
("F", 'float32'),
|
|
("LA", 'uint8'),
|
|
("RGB", 'uint8'),
|
|
("RGBA", 'uint8'),
|
|
("RGBX", 'uint8'),
|
|
("CMYK", 'uint8'),
|
|
("YCbCr", 'uint8'),
|
|
("I;16", '<u2'),
|
|
("I;16B", '>u2'),
|
|
("I;16L", '<u2'),
|
|
("HSV", 'uint8'),
|
|
]
|
|
|
|
for mode in modes:
|
|
_to_array(*mode)
|
|
|
|
def test_point_lut(self):
|
|
# see https://github.com/python-pillow/Pillow/issues/439
|
|
|
|
data = list(range(256))*3
|
|
lut = numpy.array(data, dtype='uint8')
|
|
|
|
im = hopper()
|
|
|
|
im.point(lut)
|
|
|
|
def test_putdata(self):
|
|
# 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)
|
|
|
|
self.assertEqual(len(im.getdata()), len(arr))
|
|
|
|
def test_zero_size(self):
|
|
# 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))
|
|
|
|
self.assertEqual(im.size, (0, 0))
|
|
|
|
def test_bool(self):
|
|
# https://github.com/python-pillow/Pillow/issues/2044
|
|
a = numpy.zeros((10, 2), dtype=numpy.bool)
|
|
a[0][0] = True
|
|
|
|
im2 = Image.fromarray(a)
|
|
self.assertEqual(im2.getdata()[0], 255)
|
|
|
|
def test_no_resource_warning_for_numpy_array(self):
|
|
# https://github.com/python-pillow/Pillow/issues/835
|
|
# Arrange
|
|
from numpy import array
|
|
test_file = 'Tests/images/hopper.png'
|
|
im = Image.open(test_file)
|
|
|
|
# Act/Assert
|
|
self.assert_warning(None, lambda: array(im))
|