class_docstr: A class to create linked axes for plotting orthogonal projections     of 3D maps.
  
  This visualization mode can be activated from
  :func:`~nilearn.plotting.plot_glass_brain`, by setting
  ``display_mode='ortho'``:
  
    .. code-block:: python
  
        from nilearn.datasets import load_mni152_template
        from nilearn.plotting import plot_glass_brain
  
        img = load_mni152_template()
        # display is an instance of the OrthoProjector class
        display = plot_glass_brain(img, display_mode="ortho")
  
  Attributes
  ----------
  axes : :obj:`dict` of :class:`~nilearn.plotting.displays.GlassBrainAxes`
      The 3 axes used to plot each view ('x', 'y', and 'z').
  
  frame_axes : :class:`~matplotlib.axes.Axes`
      The axes framing the whole set of views.
docstr: Find the coordinates of the cut.
docstr_tok: ["Find","the","coordinates","of","the","cut","."]
code: def find_cut_coords(cls, img=None, threshold=None, cut_coords=None):
      """Find the coordinates of the cut."""
      return (None,) * len(cls._cut_displayed)
  
imports: import warnings
  import matplotlib.pyplot
  import numpy
  from matplotlib import cm
  from scipy.sparse import issparse
  from scipy.stats import scoreatpercentile
  from nilearn._utils.param_validation import check_threshold
  from nilearn.plotting import cm
  from nilearn.plotting.displays._axes import GlassBrainAxes
  from nilearn.plotting.displays._slicers import OrthoSlicer, _get_create_display_fun
label_desc: Use image node_id 1 for calling the OrthoProjector obj's underlying member method code with example usage: obj.find_cut_coords(cls, img, threshold, cut_coords) and returns: unknown