coregister_fiducials(): remove scale argument

mne/coreg.py

@@ -77,7 +77,7 @@ def _fiducial_coords(points, coord_frame):
     return np.array([points_[i]['r'] for i in FIDUCIAL_ORDER])
 
 
-def coregister_fiducials(info, fiducials, scale=False, tol=0.01):
+def coregister_fiducials(info, fiducials, tol=0.01):
     """Create a head-MRI transform by aligning 3 fiducial points
 
     Parameters
@@ -92,8 +92,6 @@ def coregister_fiducials(info, fiducials, scale=False, tol=0.01):
     -------
     trans : Transform
         The device-MRI transform.
-    mri_scale : float (only if scale=True)
-        The scale factor by which to scale the MRI.
     """
     if isinstance(info, string_types):
         info = read_info(info)
@@ -107,23 +105,8 @@ def coregister_fiducials(info, fiducials, scale=False, tol=0.01):
                          "frames")
     coord_frame_from = frames_from[0]
     coords_to = _fiducial_coords(fiducials, coord_frame_to)
-    if scale:
-        params = fit_matched_points(coords_from, coords_to, scale=True,
-                                    tol=tol, out='params')
-        rx, ry, rz, tx, ty, tz, scale = params
-        trans = translation(tx, ty, tz).dot(rotation(rx, ry, rz))
-        mri_scale = 1. / scale
-        if mri_scale < 0.1:
-            raise RuntimeError("Unrealistic MRI scale parameter: %s" %
-                               mri_scale)
-    else:
-        trans = fit_matched_points(coords_from, coords_to, tol=tol)
-        mri_scale = None
-    trans = Transform(coord_frame_from, coord_frame_to, trans)
-    if mri_scale is None:
-        return trans
-    else:
-        return trans, mri_scale
+    trans = fit_matched_points(coords_from, coords_to, tol=tol)
+    return Transform(coord_frame_from, coord_frame_to, trans)
 
 
 def create_default_subject(mne_root=None, fs_home=None, update=False,