from __future__ import print_function import sys from helper import unittest, PillowTestCase, hopper from PIL import Image try: import site import numpy assert site # silence warning assert numpy # silence warning except ImportError: # Skip via setUp() pass TEST_IMAGE_SIZE = (10, 10) # Numpy on pypy as of pypy 5.3.1 is corrupting the numpy.array(Image) # call such that it's returning a object of type numpy.ndarray, but # the repr is that of a PIL.Image. Size and shape are 1 and (), not the # size and shape of the array. This causes failures in several tests. SKIP_NUMPY_ON_PYPY = hasattr(sys, 'pypy_version_info') and ( sys.pypy_version_info <= (5, 3, 1, 'final', 0)) class TestNumpy(PillowTestCase): def setUp(self): try: import site import numpy assert site # silence warning assert numpy # silence warning except ImportError: self.skipTest("ImportError") def test_numpy_to_image(self): def to_image(dtype, bands=1, boolean=0): if bands == 1: if boolean: data = [0, 1] * 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.split()[0].getdata()) != list(range(100)): print("data mismatch for", dtype) # print(dtype, list(i.getdata())) return i # Check supported 1-bit integer formats self.assertRaises(TypeError, lambda: to_image(numpy.bool)) self.assertRaises(TypeError, lambda: to_image(numpy.bool8)) # 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, lambda: to_image(numpy.uint64)) self.assertRaises(TypeError, lambda: to_image(numpy.int64)) # Check floating-point formats self.assert_image(to_image(numpy.float), "F", TEST_IMAGE_SIZE) self.assertRaises(TypeError, lambda: 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 # http://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]) @unittest.skipIf(SKIP_NUMPY_ON_PYPY, "numpy.array(Image) is flaky on PyPy") 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) @unittest.skipIf(SKIP_NUMPY_ON_PYPY, "numpy.array(Image) is flaky on PyPy") 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)) if __name__ == '__main__': unittest.main()