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__init__.py
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__init__.py
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"""Convenience functions for opening GUIs."""
# Authors: Christian Brodbeck <christianbrodbeck@nyu.edu>
#
# License: BSD-3-Clause
from ..utils import verbose, get_config, warn
@verbose
def coregistration(
tabbed=False,
split=True,
width=None,
inst=None,
subject=None,
subjects_dir=None,
guess_mri_subject=None,
height=None,
head_opacity=None,
head_high_res=None,
trans=None,
scrollable=True,
*,
orient_to_surface=True,
scale_by_distance=True,
mark_inside=True,
interaction=None,
scale=None,
advanced_rendering=None,
head_inside=True,
fullscreen=None,
show=True,
block=False,
verbose=None,
):
"""Coregister an MRI with a subject's head shape.
The GUI can be launched through the command line interface:
.. code-block:: bash
$ mne coreg
or using a python interpreter as shown in :ref:`tut-source-alignment`.
Parameters
----------
tabbed : bool
Combine the data source panel and the coregistration panel into a
single panel with tabs.
split : bool
Split the main panels with a movable splitter (good for QT4 but
unnecessary for wx backend).
width : int | None
Specify the width for window (in logical pixels).
Default is None, which uses ``MNE_COREG_WINDOW_WIDTH`` config value
(which defaults to 800).
inst : None | str
Path to an instance file containing the digitizer data. Compatible for
Raw, Epochs, and Evoked files.
subject : None | str
Name of the mri subject.
%(subjects_dir)s
guess_mri_subject : bool
When selecting a new head shape file, guess the subject's name based
on the filename and change the MRI subject accordingly (default True).
height : int | None
Specify a height for window (in logical pixels).
Default is None, which uses ``MNE_COREG_WINDOW_WIDTH`` config value
(which defaults to 400).
head_opacity : float | None
The opacity of the head surface in the range [0., 1.].
Default is None, which uses ``MNE_COREG_HEAD_OPACITY`` config value
(which defaults to 1.).
head_high_res : bool | None
Use a high resolution head surface.
Default is None, which uses ``MNE_COREG_HEAD_HIGH_RES`` config value
(which defaults to True).
trans : path-like | None
The transform file to use.
scrollable : bool
Make the coregistration panel vertically scrollable (default True).
orient_to_surface : bool | None
If True (default), orient EEG electrode and head shape points
to the head surface.
.. versionadded:: 0.16
scale_by_distance : bool | None
If True (default), scale the digitization points by their
distance from the scalp surface.
.. versionadded:: 0.16
mark_inside : bool | None
If True (default), mark points inside the head surface in a
different color.
.. versionadded:: 0.16
%(interaction_scene_none)s
Defaults to ``'terrain'``.
.. versionadded:: 0.16
.. versionchanged:: 1.0
Default interaction mode if ``None`` and no config setting found
changed from ``'trackball'`` to ``'terrain'``.
scale : float | None
The scaling for the scene.
.. versionadded:: 0.16
advanced_rendering : bool
Use advanced OpenGL rendering techniques (default True).
For some renderers (such as MESA software) this can cause rendering
bugs.
.. versionadded:: 0.18
head_inside : bool
If True (default), add opaque inner scalp head surface to help occlude
points behind the head.
.. versionadded:: 0.23
%(fullscreen)s
Default is None, which uses ``MNE_COREG_FULLSCREEN`` config value
(which defaults to False).
.. versionadded:: 1.1
show : bool
Show the GUI if True.
block : bool
Whether to halt program execution until the figure is closed.
%(verbose)s
Returns
-------
frame : instance of CoregistrationUI
The coregistration frame.
Notes
-----
Many parameters (e.g., ``head_opacity``) take None as a parameter,
which means that the default will be read from the MNE-Python
configuration file (which gets saved when exiting).
Step by step instructions for the coregistrations are shown below:
.. youtube:: ALV5qqMHLlQ
"""
unsupported_params = {
"tabbed": (tabbed, False),
"split": (split, True),
"scrollable": (scrollable, True),
"head_inside": (head_inside, True),
"guess_mri_subject": guess_mri_subject,
"scale": scale,
"advanced_rendering": advanced_rendering,
}
for key, val in unsupported_params.items():
if isinstance(val, tuple):
to_raise = val[0] != val[1]
else:
to_raise = val is not None
if to_raise:
warn(
f"The parameter {key} is not supported with"
" the pyvistaqt 3d backend. It will be ignored."
)
config = get_config()
if guess_mri_subject is None:
guess_mri_subject = config.get("MNE_COREG_GUESS_MRI_SUBJECT", "true") == "true"
if head_high_res is None:
head_high_res = config.get("MNE_COREG_HEAD_HIGH_RES", "true") == "true"
if advanced_rendering is None:
advanced_rendering = (
config.get("MNE_COREG_ADVANCED_RENDERING", "true") == "true"
)
if head_opacity is None:
head_opacity = config.get("MNE_COREG_HEAD_OPACITY", 0.8)
if head_inside is None:
head_inside = config.get("MNE_COREG_HEAD_INSIDE", "true").lower() == "true"
if width is None:
width = config.get("MNE_COREG_WINDOW_WIDTH", 800)
if height is None:
height = config.get("MNE_COREG_WINDOW_HEIGHT", 600)
if subjects_dir is None:
if "SUBJECTS_DIR" in config:
subjects_dir = config["SUBJECTS_DIR"]
elif "MNE_COREG_SUBJECTS_DIR" in config:
subjects_dir = config["MNE_COREG_SUBJECTS_DIR"]
if orient_to_surface is None:
orient_to_surface = config.get("MNE_COREG_ORIENT_TO_SURFACE", "") == "true"
if scale_by_distance is None:
scale_by_distance = config.get("MNE_COREG_SCALE_BY_DISTANCE", "") == "true"
if interaction is None:
interaction = config.get("MNE_COREG_INTERACTION", "terrain")
if mark_inside is None:
mark_inside = config.get("MNE_COREG_MARK_INSIDE", "") == "true"
if scale is None:
scale = config.get("MNE_COREG_SCENE_SCALE", 0.16)
if fullscreen is None:
fullscreen = config.get("MNE_COREG_FULLSCREEN", "") == "true"
head_opacity = float(head_opacity)
head_inside = bool(head_inside)
width = int(width)
height = int(height)
scale = float(scale)
from ..viz.backends.renderer import MNE_3D_BACKEND_TESTING
from ._coreg import CoregistrationUI
if MNE_3D_BACKEND_TESTING:
show = block = False
return CoregistrationUI(
info_file=inst,
subject=subject,
subjects_dir=subjects_dir,
head_resolution=head_high_res,
head_opacity=head_opacity,
orient_glyphs=orient_to_surface,
scale_by_distance=scale_by_distance,
mark_inside=mark_inside,
trans=trans,
size=(width, height),
show=show,
block=block,
interaction=interaction,
fullscreen=fullscreen,
verbose=verbose,
)
class _GUIScraper:
"""Scrape GUI outputs."""
def __repr__(self):
return "<GUIScraper>"
def __call__(self, block, block_vars, gallery_conf):
from ._coreg import CoregistrationUI
gui_classes = (CoregistrationUI,)
try:
from mne_gui_addons._ieeg_locate import (
IntracranialElectrodeLocator,
) # noqa: E501
except Exception:
pass
else:
gui_classes = gui_classes + (IntracranialElectrodeLocator,)
from sphinx_gallery.scrapers import figure_rst
from qtpy import QtGui
for gui in block_vars["example_globals"].values():
if (
isinstance(gui, gui_classes)
and not getattr(gui, "_scraped", False)
and gallery_conf["builder_name"] == "html"
):
gui._scraped = True # monkey-patch but it's easy enough
img_fname = next(block_vars["image_path_iterator"])
# TODO fix in window refactor
window = gui if hasattr(gui, "grab") else gui._renderer._window
# window is QWindow
# https://doc.qt.io/qt-5/qwidget.html#grab
pixmap = window.grab()
if hasattr(gui, "_renderer"): # if no renderer, no need
# Now the tricky part: we need to get the 3D renderer,
# extract the image from it, and put it in the correct
# place in the pixmap. The easiest way to do this is
# actually to save the 3D image first, then load it
# using QPixmap and Qt geometry.
plotter = gui._renderer.plotter
plotter.screenshot(img_fname)
sub_pixmap = QtGui.QPixmap(img_fname)
# https://doc.qt.io/qt-5/qwidget.html#mapTo
# https://doc.qt.io/qt-5/qpainter.html#drawPixmap-1
QtGui.QPainter(pixmap).drawPixmap(
plotter.mapTo(window, plotter.rect().topLeft()), sub_pixmap
)
# https://doc.qt.io/qt-5/qpixmap.html#save
pixmap.save(img_fname)
try: # for compatibility with both GUIs, will be refactored
gui._renderer.close() # TODO should be triggered by close
except Exception:
pass
gui.close()
return figure_rst([img_fname], gallery_conf["src_dir"], "GUI")
return ""