mirror of
https://github.com/python-pillow/Pillow.git
synced 2024-12-27 10:26:19 +03:00
146 lines
4.9 KiB
Python
146 lines
4.9 KiB
Python
from __future__ import print_function
|
|
from helper import unittest, PillowTestCase, hopper
|
|
|
|
from PIL import Image
|
|
|
|
try:
|
|
import site
|
|
import numpy
|
|
except ImportError:
|
|
# Skip via setUp()
|
|
pass
|
|
|
|
|
|
class TestNumpy(PillowTestCase):
|
|
|
|
def setUp(self):
|
|
try:
|
|
import site
|
|
import numpy
|
|
except ImportError:
|
|
self.skipTest("ImportError")
|
|
|
|
def test_numpy_to_image(self):
|
|
|
|
def to_image(dtype, bands=1, bool=0):
|
|
if bands == 1:
|
|
if bool:
|
|
data = [0, 1] * 50
|
|
else:
|
|
data = list(range(100))
|
|
a = numpy.array(data, dtype=dtype)
|
|
a.shape = 10, 10
|
|
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 = 10, 10, bands
|
|
i = Image.fromarray(a)
|
|
if list(i.split()[0].getdata()) != list(range(100)):
|
|
print("data mismatch for", dtype)
|
|
# print dtype, list(i.getdata())
|
|
return i
|
|
|
|
# self.assert_image(to_image(numpy.bool, bool=1), "1", (10, 10))
|
|
# self.assert_image(to_image(numpy.bool8, bool=1), "1", (10, 10))
|
|
|
|
self.assertRaises(TypeError, lambda: to_image(numpy.uint))
|
|
self.assert_image(to_image(numpy.uint8), "L", (10, 10))
|
|
self.assertRaises(TypeError, lambda: to_image(numpy.uint16))
|
|
self.assertRaises(TypeError, lambda: to_image(numpy.uint32))
|
|
self.assertRaises(TypeError, lambda: to_image(numpy.uint64))
|
|
|
|
self.assert_image(to_image(numpy.int8), "I", (10, 10))
|
|
if Image._ENDIAN == '<': # Little endian
|
|
self.assert_image(to_image(numpy.int16), "I;16", (10, 10))
|
|
else:
|
|
self.assert_image(to_image(numpy.int16), "I;16B", (10, 10))
|
|
self.assert_image(to_image(numpy.int32), "I", (10, 10))
|
|
self.assertRaises(TypeError, lambda: to_image(numpy.int64))
|
|
|
|
self.assert_image(to_image(numpy.float), "F", (10, 10))
|
|
self.assert_image(to_image(numpy.float32), "F", (10, 10))
|
|
self.assert_image(to_image(numpy.float64), "F", (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 http://is.gd/6F0esS (which resolves to)
|
|
# http://stackoverflow.com/questions/10854903/what-is-causing-dimension-dependent-attributeerror-in-pil-fromarray-function
|
|
def test_3d_array(self):
|
|
a = numpy.ones((10, 10, 10), dtype=numpy.uint8)
|
|
self.assert_image(Image.fromarray(a[1, :, :]), "L", (10, 10))
|
|
self.assert_image(Image.fromarray(a[:, 1, :]), "L", (10, 10))
|
|
self.assert_image(Image.fromarray(a[:, :, 1]), "L", (10, 10))
|
|
|
|
def _test_img_equals_nparray(self, img, np):
|
|
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_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'),
|
|
("RGB", 'uint8'),
|
|
("RGBA", 'uint8'),
|
|
("RGBX", 'uint8'),
|
|
("CMYK", 'uint8'),
|
|
("YCbCr", 'uint8'),
|
|
("I;16", '<u2'),
|
|
("I;16B", '>u2'),
|
|
("I;16L", '<u2'),
|
|
]
|
|
|
|
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))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|
|
|
|
# End of file
|