How to use the itkwidgets._transform_types.to_itk_image function in itkwidgets

def test_non_contiguous_array():
    "Check that a non-contiguous array raises the appropriate error"

    data = np.random.random((10, 10, 10))
    data = data[..., 0]   # slicing the array makes it non-contiguous
    output = to_itk_image(data)
    assert isinstance(output, itk.Image)

order : int, optional
            Spline order for line profile interpolation. The order has to be in the
            range 0-5.

        """

        if image_or_array is None:
            image_or_array = self.image
        if point1 is None:
            point1 = self.point1
        if point2 is None:
            point2 = self.point2
        if order is None:
            order = self.order
        image_from_array = to_itk_image(image_or_array)
        if image_from_array:
            image_ = image_from_array
        else:
            image_ = image_or_array
        image_array = itk.array_view_from_image(image_)
        dimension = image_.GetImageDimension()
        distance = np.sqrt(
            sum([(point1[ii] - point2[ii])**2 for ii in range(dimension)]))
        index1 = tuple(image_.TransformPhysicalPointToIndex(
            tuple(point1[:dimension])))
        index2 = tuple(image_.TransformPhysicalPointToIndex(
            tuple(point2[:dimension])))
        num_points = int(np.round(
            np.sqrt(sum([(index1[ii] - index2[ii])**2 for ii in range(dimension)])) * 2.1))
        coords = [np.linspace(index1[ii], index2[ii], num_points)
                  for ii in range(dimension)]

pattern : int, optional, default: 3
        Size of the checkerboard pattern.

    invert : bool, optional, default: False
        Swap inputs.

    viewer_kwargs : optional
        Keyword arguments for the viewer. See help(itkwidgets.view).

    """

    itk_image1 = to_itk_image(image1)
    if not itk_image1:
        itk_image1 = itk.output(image1)
    itk_image2 = to_itk_image(image2)
    if not itk_image2:
        itk_image2 = itk.output(image2)
    input1 = itk_image1
    input2 = itk_image2

    region_image1 = itk_image1.GetLargestPossibleRegion()
    region_image2 = itk_image2.GetLargestPossibleRegion()
    same_physical_space = \
        np.allclose(np.array(itk_image1.GetOrigin()), np.array(itk_image2.GetOrigin())) and \
        np.allclose(np.array(itk_image1.GetSpacing()), np.array(itk_image2.GetSpacing())) and \
        itk_image1.GetDirection() == itk_image2.GetDirection() and \
        np.allclose(np.array(region_image1.GetIndex()), np.array(region_image2.GetIndex())) and \
        np.allclose(
            np.array(
                region_image1.GetSize()), np.array(
                region_image2.GetSize()))

image2 : array_like, itk.Image, or vtk.vtkImageData
        Second image to use in the checkerboard.

    pattern : int, optional, default: 3
        Size of the checkerboard pattern.

    invert : bool, optional, default: False
        Swap inputs.

    viewer_kwargs : optional
        Keyword arguments for the viewer. See help(itkwidgets.view).

    """

    itk_image1 = to_itk_image(image1)
    if not itk_image1:
        itk_image1 = itk.output(image1)
    itk_image2 = to_itk_image(image2)
    if not itk_image2:
        itk_image2 = itk.output(image2)
    input1 = itk_image1
    input2 = itk_image2

    region_image1 = itk_image1.GetLargestPossibleRegion()
    region_image2 = itk_image2.GetLargestPossibleRegion()
    same_physical_space = \
        np.allclose(np.array(itk_image1.GetOrigin()), np.array(itk_image2.GetOrigin())) and \
        np.allclose(np.array(itk_image1.GetSpacing()), np.array(itk_image2.GetSpacing())) and \
        itk_image1.GetDirection() == itk_image2.GetDirection() and \
        np.allclose(np.array(region_image1.GetIndex()), np.array(region_image2.GetIndex())) and \
        np.allclose(

def validate(self, obj, value):
        self._source_object = value

        image_from_array = to_itk_image(value)
        if image_from_array:
            return image_from_array

        try:
            # an itk.Image or a filter that produces an Image
            # return itk.output(value)
            # Working around traitlets / ipywidgets update mechanism to
            # force an update. While the result of __eq__ can indicate it is
            # the same object, the actual contents may have changed, as
            # indicated by image.GetMTime()
            value = itk.output(value)
            grafted = value.__New_orig__()
            grafted.Graft(value)
            return grafted
        except BaseException:
            self.error(obj, value)