fix: center_crop occasionally outputs off-by-one dimension matrix (#30934)

If required padding for a crop larger than input image is odd-numbered,
the padding would be rounded down instead of rounded up, causing the
output dimension to be one smaller than it should be.

tests/test_image_transforms.py

@@ -369,6 +369,10 @@ class ImageTransformsTester(unittest.TestCase):
         self.assertEqual(cropped_image.shape, (300, 260, 3))
         self.assertTrue(np.allclose(cropped_image, expected_image))
 
+        # Test that odd numbered padding requirement still leads to correct output dimensions
+        cropped_image = center_crop(image, (300, 259), data_format="channels_last")
+        self.assertEqual(cropped_image.shape, (300, 259, 3))
+
         # Test image with 4 channels is cropped correctly
         image = np.random.randint(0, 256, (224, 224, 4))
         expected_image = image[52:172, 82:142, :]