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# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Eric Larson <larson.eric.d@gmail.com>
# Oleh Kozynets <ok7mailbox@gmail.com>
# Guillaume Favelier <guillaume.favelier@gmail.com>
# jona-sassenhagen <jona.sassenhagen@gmail.com>
# Joan Massich <mailsik@gmail.com>
#
# License: Simplified BSD
import numpy as np
from .colormap import _calculate_lut
from .view import views_dict
from .surface import Surface
from ..utils import _check_option, logger
class _Brain(object):
u"""Class for visualizing a brain.
It is used for creating meshes of the given subject's
cortex. The activation data can be shown on a mesh using add_data
method. Figures, meshes, activation data and other information
are stored as attributes of a class instance.
Parameters
----------
subject_id : str
Subject name in Freesurfer subjects dir.
hemi : str
Hemisphere id (ie 'lh', 'rh', 'both', or 'split'). In the case
of 'both', both hemispheres are shown in the same window.
In the case of 'split' hemispheres are displayed side-by-side
in different viewing panes.
surf : str
freesurfer surface mesh name (ie 'white', 'inflated', etc.).
title : str
Title for the window.
alpha : float in [0, 1]
Alpha level to control opacity of the cortical surface.
size : float | tuple(float, float)
The size of the window, in pixels. can be one number to specify
a square window, or the (width, height) of a rectangular window.
background : tuple(int, int, int)
The color definition of the background: (red, green, blue).
foreground : matplotlib color
Color of the foreground (will be used for colorbars and text).
None (default) will use black or white depending on the value
of ``background``.
figure : list of Figure | None | int
Not supported yet.
If None (default), a new window will be created with the appropriate
views. For single view plots, the figure can be specified as int to
retrieve the corresponding Mayavi window.
subjects_dir : str | None
If not None, this directory will be used as the subjects directory
instead of the value set using the SUBJECTS_DIR environment
variable.
views : list | str
views to use.
offset : bool
If True, aligs origin with medial wall. Useful for viewing inflated
surface where hemispheres typically overlap (Default: True).
show_toolbar : bool
If True, toolbars will be shown for each view.
offscreen : bool
If True, rendering will be done offscreen (not shown). Useful
mostly for generating images or screenshots, but can be buggy.
Use at your own risk.
interaction : str
Not supported yet.
Can be "trackball" (default) or "terrain", i.e. a turntable-style
camera.
units : str
Can be 'm' or 'mm' (default).
Attributes
----------
geo : dict
A dictionary of pysurfer.Surface objects for each hemisphere.
overlays : dict
The overlays.
Notes
-----
This table shows the capabilities of each Brain backend ("✓" for full
support, and "-" for partial support):
.. table::
:widths: auto
+---------------------------+--------------+-----------------------+
| 3D function: | surfer.Brain | mne.viz._brain._Brain |
+===========================+==============+=======================+
| add_annotation | ✓ | |
+---------------------------+--------------+-----------------------+
| add_contour_overlay | ✓ | |
+---------------------------+--------------+-----------------------+
| add_data | ✓ | - |
+---------------------------+--------------+-----------------------+
| add_foci | ✓ | |
+---------------------------+--------------+-----------------------+
| add_label | ✓ | |
+---------------------------+--------------+-----------------------+
| add_morphometry | ✓ | |
+---------------------------+--------------+-----------------------+
| add_overlay | ✓ | |
+---------------------------+--------------+-----------------------+
| add_text | ✓ | |
+---------------------------+--------------+-----------------------+
| animate | ✓ | |
+---------------------------+--------------+-----------------------+
| annot | ✓ | |
+---------------------------+--------------+-----------------------+
| close | ✓ | |
+---------------------------+--------------+-----------------------+
| contour | ✓ | |
+---------------------------+--------------+-----------------------+
| data | ✓ | ✓ |
+---------------------------+--------------+-----------------------+
| data_dict | ✓ | |
+---------------------------+--------------+-----------------------+
| data_time_index | ✓ | |
+---------------------------+--------------+-----------------------+
| foci | ✓ | |
+---------------------------+--------------+-----------------------+
| get_data_properties | ✓ | |
+---------------------------+--------------+-----------------------+
| hide_colorbar | ✓ | |
+---------------------------+--------------+-----------------------+
| index_for_time | ✓ | |
+---------------------------+--------------+-----------------------+
| labels | ✓ | |
+---------------------------+--------------+-----------------------+
| labels_dict | ✓ | |
+---------------------------+--------------+-----------------------+
| overlays | ✓ | |
+---------------------------+--------------+-----------------------+
| remove_data | ✓ | |
+---------------------------+--------------+-----------------------+
| remove_foci | ✓ | |
+---------------------------+--------------+-----------------------+
| remove_labels | ✓ | |
+---------------------------+--------------+-----------------------+
| reset_view | ✓ | |
+---------------------------+--------------+-----------------------+
| save_image | ✓ | |
+---------------------------+--------------+-----------------------+
| save_image_sequence | ✓ | |
+---------------------------+--------------+-----------------------+
| save_imageset | ✓ | |
+---------------------------+--------------+-----------------------+
| save_montage | ✓ | |
+---------------------------+--------------+-----------------------+
| save_movie | ✓ | |
+---------------------------+--------------+-----------------------+
| save_single_image | ✓ | |
+---------------------------+--------------+-----------------------+
| scale_data_colormap | ✓ | |
+---------------------------+--------------+-----------------------+
| screenshot | ✓ | |
+---------------------------+--------------+-----------------------+
| screenshot_single | ✓ | |
+---------------------------+--------------+-----------------------+
| set_data_smoothing_steps | ✓ | |
+---------------------------+--------------+-----------------------+
| set_data_time_index | ✓ | |
+---------------------------+--------------+-----------------------+
| set_distance | ✓ | |
+---------------------------+--------------+-----------------------+
| set_surf | ✓ | |
+---------------------------+--------------+-----------------------+
| set_time | ✓ | |
+---------------------------+--------------+-----------------------+
| show_colorbar | ✓ | |
+---------------------------+--------------+-----------------------+
| show_view | ✓ | |
+---------------------------+--------------+-----------------------+
| texts | ✓ | |
+---------------------------+--------------+-----------------------+
| toggle_toolbars | ✓ | |
+---------------------------+--------------+-----------------------+
| update_text | ✓ | |
+---------------------------+--------------+-----------------------+
"""
def __init__(self, subject_id, hemi, surf, title=None,
alpha=1.0, size=800, background=(0, 0, 0),
foreground=None, figure=None, subjects_dir=None,
views=['lateral'], offset=True, show_toolbar=False,
offscreen=False, interaction=None, units='mm'):
if hemi == 'split':
raise ValueError('Option hemi="split" is not supported yet.')
if figure is not None:
raise ValueError('figure parameter is not supported yet.')
if interaction is not None:
raise ValueError('"interaction" parameter is not supported.')
from ..backends.renderer import _Renderer
self._foreground = foreground
self._hemi = hemi
self._units = units
self._title = title
self._subject_id = subject_id
self._views = views
# for now only one color bar can be added
# since it is the same for all figures
self._colorbar_added = False
# array of data used by TimeViewer
self._data = {}
self.geo, self._hemi_meshes, self._overlays = {}, {}, {}
self._renderers = [[] for _ in views]
# load geometry for one or both hemispheres as necessary
offset = None if (not offset or hemi != 'both') else 0.0
if hemi in ('both', 'split'):
self._hemis = ('lh', 'rh')
elif hemi in ('lh', 'rh'):
self._hemis = (hemi, )
else:
raise KeyError('hemi has to be either "lh", "rh", "split", '
'or "both"')
if isinstance(size, int):
fig_size = (size, size)
elif isinstance(size, tuple):
fig_size = size
else:
raise ValueError('"size" parameter must be int or tuple.')
for h in self._hemis:
# Initialize a Surface object as the geometry
geo = Surface(subject_id, h, surf, subjects_dir, offset,
units=self._units)
# Load in the geometry and curvature
geo.load_geometry()
geo.load_curvature()
self.geo[h] = geo
for ri, v in enumerate(views):
renderer = _Renderer(size=fig_size, bgcolor=background)
self._renderers[ri].append(renderer)
renderer.set_camera(azimuth=views_dict[v].azim,
elevation=views_dict[v].elev,
distance=490.0)
for ci, h in enumerate(self._hemis):
if ci == 1 and hemi == 'split':
# create a separate figure for right hemisphere
renderer = _Renderer(size=fig_size, bgcolor=background)
self._renderers[ri].append(renderer)
renderer.set_camera(azimuth=views_dict[v].azim,
elevation=views_dict[v].elev,
distance=490.0)
mesh = renderer.mesh(x=self.geo[h].coords[:, 0],
y=self.geo[h].coords[:, 1],
z=self.geo[h].coords[:, 2],
triangles=self.geo[h].faces,
color=self.geo[h].grey_curv)
self._hemi_meshes[h + '_' + v] = mesh
def add_data(self, array, fmin=None, fmid=None, fmax=None,
thresh=None, center=None, transparent=None, colormap="auto",
alpha=1, vertices=None, smoothing_steps=None, time=None,
time_label="time index=%d", colorbar=True,
hemi=None, remove_existing=None, time_label_size=None,
initial_time=None, scale_factor=None, vector_alpha=None,
verbose=None):
u"""Display data from a numpy array on the surface.
This provides a similar interface to
:meth:`surfer.Brain.add_overlay`, but it displays
it with a single colormap. It offers more flexibility over the
colormap, and provides a way to display four-dimensional data
(i.e., a timecourse) or five-dimensional data (i.e., a
vector-valued timecourse).
.. note:: ``fmin`` sets the low end of the colormap, and is separate
from thresh (this is a different convention from
:meth:`surfer.Brain.add_overlay`).
Parameters
----------
array : numpy array, shape (n_vertices[, 3][, n_times])
Data array. For the data to be understood as vector-valued
(3 values per vertex corresponding to X/Y/Z surface RAS),
then ``array`` must be have all 3 dimensions.
If vectors with no time dimension are desired, consider using a
singleton (e.g., ``np.newaxis``) to create a "time" dimension
and pass ``time_label=None`` (vector values are not supported).
fmin : float
Minimum value in colormap (uses real fmin if None).
fmid : float
Intermediate value in colormap (fmid between fmin and
fmax if None).
fmax : float
Maximum value in colormap (uses real max if None).
thresh : None or float
Not supported yet.
if not None, values below thresh will not be visible
center : float or None
if not None, center of a divergent colormap, changes the meaning of
fmin, fmax and fmid.
transparent : bool
Not supported yet.
if True: use a linear transparency between fmin and fmid
and make values below fmin fully transparent (symmetrically for
divergent colormaps)
colormap : str, list of color, or array
name of matplotlib colormap to use, a list of matplotlib colors,
or a custom look up table (an n x 4 array coded with RBGA values
between 0 and 255), the default "auto" chooses a default divergent
colormap, if "center" is given (currently "icefire"), otherwise a
default sequential colormap (currently "rocket").
alpha : float in [0, 1]
alpha level to control opacity of the overlay.
vertices : numpy array
vertices for which the data is defined (needed if len(data) < nvtx)
smoothing_steps : int or None
number of smoothing steps (smoothing is used if len(data) < nvtx)
Default : 20
time : numpy array
time points in the data array (if data is 2D or 3D)
time_label : str | callable | None
format of the time label (a format string, a function that maps
floating point time values to strings, or None for no label)
colorbar : bool
whether to add a colorbar to the figure
hemi : str | None
If None, it is assumed to belong to the hemisphere being
shown. If two hemispheres are being shown, an error will
be thrown.
remove_existing : bool
Not supported yet.
Remove surface added by previous "add_data" call. Useful for
conserving memory when displaying different data in a loop.
time_label_size : int
Not supported yet.
Font size of the time label (default 14)
initial_time : float | None
Time initially shown in the plot. ``None`` to use the first time
sample (default).
scale_factor : float | None (default)
Not supported yet.
The scale factor to use when displaying glyphs for vector-valued
data.
vector_alpha : float | None
Not supported yet.
alpha level to control opacity of the arrows. Only used for
vector-valued data. If None (default), ``alpha`` is used.
verbose : bool, str, int, or None
Not supported yet.
If not None, override default verbose level (see surfer.verbose).
Notes
-----
If the data is defined for a subset of vertices (specified
by the "vertices" parameter), a smoothing method is used to interpolate
the data onto the high resolution surface. If the data is defined for
subsampled version of the surface, smoothing_steps can be set to None,
in which case only as many smoothing steps are applied until the whole
surface is filled with non-zeros.
Due to a Mayavi (or VTK) alpha rendering bug, ``vector_alpha`` is
clamped to be strictly < 1.
"""
if len(array.shape) == 3:
raise ValueError('Vector values in "array" are not supported.')
# those parameters are not supported yet, only None is allowed
_check_option('thresh', thresh, [None])
_check_option('transparent', transparent, [None])
_check_option('remove_existing', remove_existing, [None])
_check_option('time_label_size', time_label_size, [None])
_check_option('scale_factor', scale_factor, [None])
_check_option('vector_alpha', vector_alpha, [None])
_check_option('verbose', verbose, [None])
from surfer.utils import mesh_edges, smoothing_matrix
hemi = self._check_hemi(hemi)
array = np.asarray(array)
if initial_time is None:
time_idx = 0
else:
time_idx = np.argmin(abs(time - initial_time))
if time is not None and len(array.shape) == 2:
# we have scalar_data with time dimension
act_data = array[:, time_idx]
else:
# we have scalar data without time
act_data = array
fmin, fmid, fmax = _update_limits(
fmin, fmid, fmax, center, array
)
self._data['time'] = time
self._data['initial_time'] = initial_time
self._data['time_label'] = time_label
self._data['time_idx'] = time_idx
# data specific for a hemi
self._data[hemi + '_array'] = array
self._data['alpha'] = alpha
self._data['colormap'] = colormap
self._data['center'] = center
self._data['fmin'] = fmin
self._data['fmid'] = fmid
self._data['fmax'] = fmax
lut = self.update_lut()
# Create smoothing matrix if necessary
if len(act_data) < self.geo[hemi].x.shape[0]:
if vertices is None:
raise ValueError('len(data) < nvtx (%s < %s): the vertices '
'parameter must not be None'
% (len(act_data), self.geo[hemi].x.shape[0]))
adj_mat = mesh_edges(self.geo[hemi].faces)
smooth_mat = smoothing_matrix(vertices,
adj_mat,
smoothing_steps)
act_data = smooth_mat.dot(act_data)
self._data[hemi + '_smooth_mat'] = smooth_mat
# data mapping into [0, 1] interval
dt_max = fmax
dt_min = fmin if center is None else -1 * max
k = 1 / (dt_max - dt_min)
b = 1 - k * dt_max
act_data = k * act_data + b
act_data = np.clip(act_data, 0, 1)
act_color = lut(act_data)
self._data['k'] = k
self._data['b'] = b
for ri, v in enumerate(self._views):
if self._hemi != 'split':
ci = 0
else:
ci = 0 if hemi == 'lh' else 1
renderer = self._renderers[ri][ci]
mesh = renderer.mesh(x=self.geo[hemi].coords[:, 0],
y=self.geo[hemi].coords[:, 1],
z=self.geo[hemi].coords[:, 2],
triangles=self.geo[hemi].faces,
color=act_color)
self._overlays[hemi + '_' + v] = mesh
# How can we make this bit universal as well???
# if colorbar and not self._colorbar_added:
# ColorBar(self)
# self._colorbar_added = True
def show(self):
u"""Display widget."""
try:
return self._renderers[0][0].show()
except RuntimeError:
logger.info("No active/running renderer available.")
def update_lut(self, fmin=None, fmid=None, fmax=None):
u"""Update color map.
Parameters
----------
fmin : float | None
Minimum value in colormap.
fmid : float | None
Intermediate value in colormap (fmid between fmin and
fmax).
fmax : float | None
Maximum value in colormap.
"""
alpha = self._data['alpha']
center = self._data['center']
colormap = self._data['colormap']
fmin = self._data['fmin'] if fmin is None else fmin
fmid = self._data['fmid'] if fmid is None else fmid
fmax = self._data['fmax'] if fmax is None else fmax
self._data['lut'] = _calculate_lut(colormap, alpha=alpha,
fmin=fmin, fmid=fmid,
fmax=fmax, center=center)
return self._data['lut']
@property
def overlays(self):
return self._overlays
@property
def data(self):
u"""Data used by time viewer and color bar widgets."""
return self._data
@property
def views(self):
return self._views
@property
def hemis(self):
return self._hemis
def _check_hemi(self, hemi):
u"""Check for safe single-hemi input, returns str."""
if hemi is None:
if self._hemi not in ['lh', 'rh']:
raise ValueError('hemi must not be None when both '
'hemispheres are displayed')
else:
hemi = self._hemi
elif hemi not in ['lh', 'rh']:
extra = ' or None' if self._hemi in ['lh', 'rh'] else ''
raise ValueError('hemi must be either "lh" or "rh"' +
extra + ", got " + str(hemi))
return hemi
def _update_limits(fmin, fmid, fmax, center, array):
if center is None:
if fmin is None:
fmin = array.min() if array.size > 0 else 0
if fmax is None:
fmax = array.max() if array.size > 0 else 1
else:
if fmin is None:
fmin = 0
if fmax is None:
fmax = np.abs(center - array).max() if array.size > 0 else 1
if fmid is None:
fmid = (fmin + fmax) / 2.
if fmin >= fmid:
raise RuntimeError('min must be < mid, got %0.4g >= %0.4g'
% (fmin, fmid))
if fmid >= fmax:
raise RuntimeError('mid must be < max, got %0.4g >= %0.4g'
% (fmid, fmax))
return fmin, fmid, fmax
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