from PIL import Image from .helper import PillowTestCase, hopper, unittest 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"), ("I;16L", "