def get_img_shape(img):
    """Returns image shape in a backend agnostic manner.

    Args:
        img: An image tensor of shape: `(channels, image_dims...)` if data_format='channels_first' or
            `(image_dims..., channels)` if data_format='channels_last'.

    Returns:
        Tuple containing image shape information in `(samples, channels, image_dims...)` order.
    """
    if isinstance(img, np.ndarray):
        shape = img.shape
    else:
        shape = K.int_shape(img)

    if K.image_data_format() == 'channels_last':
        shape = list(shape)
        shape.insert(1, shape[-1])
        shape = tuple(shape[:-1])
    return shape
Returns image shape in a backend agnostic manner.

    Args:
        img: An image tensor of shape: `(channels, image_dims...)` if data_format='channels_first' or
            `(image_dims..., channels)` if data_format='channels_last'.

    Returns:
        Tuple containing image shape information in `(samples, channels, image_dims...)` order.