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121 lines
3.7 KiB
Python
121 lines
3.7 KiB
Python
from tester import *
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from PIL import Image
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import struct
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try:
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import site
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import numpy
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except ImportError:
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skip()
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def test_numpy_to_image():
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def to_image(dtype, bands=1, bool=0):
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if bands == 1:
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if bool:
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data = [0, 1] * 50
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else:
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data = list(range(100))
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a = numpy.array(data, dtype=dtype)
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a.shape = 10, 10
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i = Image.fromarray(a)
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if list(i.getdata()) != data:
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print("data mismatch for", dtype)
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else:
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data = list(range(100))
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a = numpy.array([[x]*bands for x in data], dtype=dtype)
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a.shape = 10, 10, bands
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i = Image.fromarray(a)
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if list(i.split()[0].getdata()) != list(range(100)):
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print("data mismatch for", dtype)
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# print dtype, list(i.getdata())
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return i
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# assert_image(to_image(numpy.bool, bool=1), "1", (10, 10))
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# assert_image(to_image(numpy.bool8, bool=1), "1", (10, 10))
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assert_exception(TypeError, lambda: to_image(numpy.uint))
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assert_image(to_image(numpy.uint8), "L", (10, 10))
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assert_exception(TypeError, lambda: to_image(numpy.uint16))
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assert_exception(TypeError, lambda: to_image(numpy.uint32))
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assert_exception(TypeError, lambda: to_image(numpy.uint64))
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assert_image(to_image(numpy.int8), "I", (10, 10))
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if Image._ENDIAN == '<': # Little endian
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assert_image(to_image(numpy.int16), "I;16", (10, 10))
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else:
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assert_image(to_image(numpy.int16), "I;16B", (10, 10))
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assert_image(to_image(numpy.int32), "I", (10, 10))
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assert_exception(TypeError, lambda: to_image(numpy.int64))
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assert_image(to_image(numpy.float), "F", (10, 10))
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assert_image(to_image(numpy.float32), "F", (10, 10))
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assert_image(to_image(numpy.float64), "F", (10, 10))
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assert_image(to_image(numpy.uint8, 3), "RGB", (10, 10))
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assert_image(to_image(numpy.uint8, 4), "RGBA", (10, 10))
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# based on an erring example at http://is.gd/6F0esS (which resolves to)
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# http://stackoverflow.com/questions/10854903/what-is-causing-dimension-dependent-attributeerror-in-pil-fromarray-function
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def test_3d_array():
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a = numpy.ones((10, 10, 10), dtype=numpy.uint8)
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assert_image(Image.fromarray(a[1, :, :]), "L", (10, 10))
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assert_image(Image.fromarray(a[:, 1, :]), "L", (10, 10))
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assert_image(Image.fromarray(a[:, :, 1]), "L", (10, 10))
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def _test_img_equals_nparray(img, np):
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assert_equal(img.size, np.shape[0:2])
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px = img.load()
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for x in range(0, img.size[0], int(img.size[0]/10)):
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for y in range(0, img.size[1], int(img.size[1]/10)):
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assert_deep_equal(px[x,y], np[y,x])
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def test_16bit():
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img = Image.open('Tests/images/16bit.cropped.tif')
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np_img = numpy.array(img)
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_test_img_equals_nparray(img, np_img)
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assert_equal(np_img.dtype, numpy.dtype('<u2'))
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def test_to_array():
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def _to_array(mode, dtype):
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img = lena(mode)
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np_img = numpy.array(img)
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_test_img_equals_nparray(img, np_img)
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assert_equal(np_img.dtype, numpy.dtype(dtype))
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modes = [("L", 'uint8'),
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("I", 'int32'),
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("F", 'float32'),
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("RGB", 'uint8'),
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("RGBA", 'uint8'),
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("RGBX", 'uint8'),
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("CMYK", 'uint8'),
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("YCbCr", 'uint8'),
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("I;16", '<u2'),
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("I;16B", '>u2'),
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("I;16L", '<u2'),
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]
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for mode in modes:
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assert_no_exception(lambda: _to_array(*mode))
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def test_point_lut():
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# see https://github.com/python-imaging/Pillow/issues/439
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data = list(range(256))*3
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lut = numpy.array(data, dtype='uint8')
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im = lena()
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assert_no_exception(lambda: im.point(lut))
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