def _clusters_update():
MEGPanel.current_cluster = cluster = MEGPanel.clusters_lookup[
bpy.context.scene.meg_clusters]
# set_cluster_time_series(cluster)
cluster_name = get_cluster_name(cluster)
cluster_max_vert_co = mu.get_vert_co(cluster.max_vert, cluster.hemi)
bpy.context.scene.cursor_location = cluster_max_vert_co
_addon().set_cursor_pos()
_addon().set_closest_vertex_and_mesh_to_cursor(
cluster.max_vert, 'inflated_{}'.format(cluster.hemi))
_addon().save_cursor_position()
_addon().create_slices()
if bpy.context.scene.plot_current_meg_cluster:
_addon().color_contours([cluster_name], cluster.hemi,
MEGPanel.contours,
bpy.context.scene.cumulate_meg_cluster, False)
bpy.data.objects[PARENT_OBJ_NAME].select = True
# mu.view_all_in_graph_editor()
fcurves = mu.get_fcurves(PARENT_OBJ_NAME)
cluster_fcurve_name = get_cluster_fcurve_name(cluster)
if bpy.context.scene.cumulate_meg_cluster:
fcurve_ind = [mu.get_fcurve_name(f)
for f in fcurves].index(cluster_fcurve_name)
fcurves[fcurve_ind].hide = False
else:
for fcurve in fcurves:
fcurve_name = mu.get_fcurve_name(fcurve)
fcurve.hide = fcurve_name != cluster_fcurve_name
MEGPanel.prev_cluster = bpy.context.scene.meg_clusters
def _clusters_update():
if fMRIPanel.addon is None or not fMRIPanel.init:
return
clusters_labels_file = bpy.context.scene.fmri_clusters_labels_files
# key = '{}_{}'.format(clusters_labels_file, bpy.context.scene.fmri_clusters_labels_parcs)
key = clusters_labels_file
fMRIPanel.cluster_labels = cluster = fMRIPanel.lookup[key][bpy.context.scene.fmri_clusters]
cluster_centroid = np.mean(cluster['coordinates'], 0) / 10.0
_addon().clear_closet_vertex_and_mesh_to_cursor()
_addon().set_vertex_data(cluster['max'])
if 'max_vert' in cluster:
bpy.context.scene.cursor_location = mu.get_vert_co(cluster.max_vert, cluster.hemi)
_addon().set_closest_vertex_and_mesh_to_cursor(cluster.max_vert, 'inflated_{}'.format(cluster.hemi))
else:
if _addon().is_pial():
bpy.context.scene.cursor_location = cluster_centroid
closest_mesh_name, vertex_ind, vertex_co = _addon().find_vertex_index_and_mesh_closest_to_cursor(
cluster_centroid, mu.HEMIS, False)
_addon().set_closest_vertex_and_mesh_to_cursor(vertex_ind, closest_mesh_name)
else:
closest_mesh_name, vertex_ind, vertex_co = _addon().find_vertex_index_and_mesh_closest_to_cursor(
cluster_centroid, mu.HEMIS, False)
inflated_mesh = 'inflated_{}'.format(closest_mesh_name)
me = bpy.data.objects[inflated_mesh].to_mesh(bpy.context.scene, True, 'PREVIEW')
bpy.context.scene.cursor_location = me.vertices[vertex_ind].co / 10.0
bpy.data.meshes.remove(me)
_addon().set_closest_vertex_and_mesh_to_cursor(vertex_ind, closest_mesh_name)
tkreg_ras = _addon().calc_tkreg_ras_from_cursor()
if tkreg_ras is not None:
_addon().set_tkreg_ras(tkreg_ras, move_cursor=False)
if bpy.context.scene.plot_current_cluster and not fMRIPanel.blobs_plotted:
faces_verts = fMRIPanel.addon.get_faces_verts()
if bpy.context.scene.fmri_what_to_plot == 'blob':
plot_blob(cluster, faces_verts, True)
if bpy.context.scene.plot_fmri_cluster_contours:
inter_labels = [inter_label['name'] for inter_label in cluster['intersects']]
atlas = fMRIPanel.clusters_labels[bpy.context.scene.fmri_clusters_labels_files].atlas
_addon().color_contours(
inter_labels, cluster.hemi, None, False, False,
specific_colors=bpy.context.scene.fmri_cluster_contours_color, atlas=atlas)
_addon().save_cursor_position()
_addon().create_slices(pos=tkreg_ras)
find_electrodes_in_cluster()
if bpy.context.scene.fmri_rotate_view_to_vertice:
mu.rotate_view_to_vertice()