def filter_draw(self, context):
layout = self.layout
layout.prop(context.scene, "filter_topK", text="Top K")
row = layout.row(align=0)
row.prop(context.scene, "filter_from", text="From")
row.operator(GrabFromFiltering.bl_idname, text="", icon='BORDERMOVE')
row.prop(context.scene, "filter_to", text="To")
row.operator(GrabToFiltering.bl_idname, text="", icon='BORDERMOVE')
layout.prop(context.scene, "filter_curves_type", text="")
layout.prop(context.scene, "filter_curves_func", text="")
layout.prop(context.scene, 'mark_filter_items', text="Mark selected items")
layout.operator(Filtering.bl_idname, text="Filter " + bpy.context.scene.filter_curves_type, icon='BORDERMOVE')
# if bpy.types.Scene.filter_is_on:
layout.operator(ClearFiltering.bl_idname, text="Clear Filtering", icon='PANEL_CLOSE')
col = layout.column(align=0)
col.operator(FindCurveClosestToCursor.bl_idname, text="closest curve to cursor", icon='SNAP_SURFACE')
if bpy.types.Scene.closest_curve_str != '':
col.label(text=bpy.types.Scene.closest_curve_str)
layout.prop(context.scene, 'filter_items_one_by_one', text="Show one by one")
if bpy.context.scene.filter_items_one_by_one:
row = layout.row(align=0)
row.operator(PrevFilterItem.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, 'filter_items', text="")
row.operator(NextFilterItem.bl_idname, text="", icon='NEXT_KEYFRAME')
if len(Filtering.objects_indices) > 0:
box = layout.box()
col = box.column()
for ind in Filtering.objects_indices:
mu.add_box_line(col, Filtering.filter_objects[ind], '{:.2f}'.format(Filtering.filter_values[ind]), 0.8)
row = layout.row(align=True)
row.prop(context.scene, "filter_fcurves", text="Filter curves")
row.operator(ResetCurvesFilter.bl_idname, text="", icon='PANEL_CLOSE')
def draw(self, context):
layout = self.layout
layout.prop(context.scene, "labels_regex", text="Object name")
row = layout.row(align=0)
row.operator(SearchFilter.bl_idname, text="Search", icon = 'BORDERMOVE')
row.operator(SearchMark.bl_idname, text="Mark", icon = 'GREASEPENCIL')
layout.operator(SearchClear.bl_idname, text="Clear", icon = 'PANEL_CLOSE')
if len(SearchPanel.marked_objects) > 0:
box = layout.box()
col = box.column()
for obj_name in SearchPanel.marked_objects:
mu.add_box_line(col, obj_name, percentage=1)
row = layout.row(align=0)
row.operator(SearchExport.bl_idname, text="Export list", icon = 'FORCE_LENNARDJONES')
def draw(self, context):
layout = self.layout
row = layout.row(align=0)
row.prop(context.scene, "labels_regex", text="")
# row.prop(context.scene, "search_plot_contour", text="Plot contour")
# row = layout.row(align=0)
layout.operator(SearchFilter.bl_idname, text="Search", icon='BORDERMOVE')
# row.operator(SearchMark.bl_idname, text="Mark", icon = 'GREASEPENCIL')
if len(SearchPanel.marked_objects) > 0:
box = layout.box()
col = box.column()
for obj_name in SearchPanel.marked_objects:
mu.add_box_line(col, obj_name, percentage=1)
layout.operator(SearchClear.bl_idname, text="Clear", icon='PANEL_CLOSE')
def draw(self, context):
layout = self.layout
layout.prop(context.scene, "labels_regex", text="regex")
row = layout.row(align=0)
row.operator(SearchFilter.bl_idname, text="Search", icon='BORDERMOVE')
row.operator(SearchMark.bl_idname, text="Mark", icon='GREASEPENCIL')
layout.operator(SearchClear.bl_idname,
text="Clear",
icon='PANEL_CLOSE')
if len(SearchPanel.marked_objects) > 0:
box = layout.box()
col = box.column()
for obj_name in SearchPanel.marked_objects:
mu.add_box_line(col, obj_name, percentage=1)
row = layout.row(align=0)
row.operator(SearchExport.bl_idname,
text="Export list",
icon='FORCE_LENNARDJONES')
def reports_draw(self, context):
layout = self.layout
missing_files = []
layout.prop(context.scene, "reports_files", text="")
row = layout.row(align=0)
row.prop(context.scene, "reports_fields", text="")
row.prop(context.scene, "reports_field_value", text="")
if len(ReportsPanel.files[bpy.context.scene.reports_files]) > 0:
missing_files = [file_name for file_name in ReportsPanel.files[bpy.context.scene.reports_files] if \
not op.isfile(op.join(_addon().get_output_path(), file_name))]
if len(missing_files) > 0:
layout.label('Missing files:')
col = layout.box().column()
for file_name in ReportsPanel.files[
bpy.context.scene.reports_files]:
if not op.isfile(op.join(_addon().get_output_path(),
file_name)):
mu.add_box_line(col, file_name, '', 1)
if context.scene.report_use_script:
layout.prop(context.scene, 'report_use_script', text='Use script')
if len(missing_files) == 0 or context.scene.report_use_script:
layout.operator(CreateReport.bl_idname,
text="Create report",
icon='STYLUS_PRESSURE')
def fMRI_draw(self, context):
layout = self.layout
user_fol = mu.get_user_fol()
# clusters_labels_files = glob.glob(op.join(user_fol, 'fmri', 'clusters_labels_*.npy'))
# if len(clusters_labels_files) > 1:
layout.prop(context.scene, 'fmri_clusters_labels_files', text='')
if len(fMRIPanel.clusters_labels_files) > 1:
layout.prop(context.scene, 'fmri_clusters_labels_parcs', text='')
row = layout.row(align=True)
row.operator(PrevCluster.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, 'fmri_clusters', text="")
row.operator(NextCluster.bl_idname, text="", icon='NEXT_KEYFRAME')
layout.prop(context.scene, 'fmri_show_filtering', text='Refine clusters')
if bpy.context.scene.fmri_show_filtering:
row = layout.row(align=True)
row.prop(context.scene, 'fmri_clustering_threshold', text='Threshold')
row.operator(RefinefMRIClusters.bl_idname, text="Find clusters", icon='GROUP_VERTEX')
layout.prop(context.scene, 'fmri_cluster_val_threshold', text='clusters t-val threshold')
layout.prop(context.scene, 'fmri_cluster_size_threshold', text='clusters size threshold')
layout.operator(FilterfMRIBlobs.bl_idname, text="Filter blobs", icon='FILTER')
layout.prop(context.scene, 'plot_current_cluster', text="Plot current cluster")
row = layout.row(align=True)
row.prop(context.scene, 'plot_fmri_cluster_contours', text="Plot cluster contours")
row.prop(context.scene, 'fmri_cluster_contours_color', text="")
layout.prop(context.scene, 'plot_fmri_cluster_per_click', text="Listen to left clicks")
# layout.prop(context.scene, 'fmri_what_to_plot', expand=True)
row = layout.row(align=True)
row.label(text='Sort: ')
row.prop(context.scene, 'fmri_how_to_sort', expand=True)
if not fMRIPanel.cluster_labels is None and len(fMRIPanel.cluster_labels) > 0 and \
not fMRIPanel.dont_show_clusters_info:
if 'size' not in fMRIPanel.cluster_labels:
fMRIPanel.cluster_labels['size'] = len(fMRIPanel.cluster_labels['vertices'])
blob_size = fMRIPanel.cluster_labels['size']
col = layout.box().column()
mu.add_box_line(col, 'Max val', '{:.2f}'.format(fMRIPanel.cluster_labels['max']), 0.7)
mu.add_box_line(col, 'Size', str(blob_size), 0.7)
col = layout.box().column()
labels_num_to_show = min(7, len(fMRIPanel.cluster_labels['intersects']))
for inter_labels in fMRIPanel.cluster_labels['intersects'][:labels_num_to_show]:
mu.add_box_line(col, inter_labels['name'], '{:.0%}'.format(inter_labels['num'] / float(blob_size)), 0.8)
if labels_num_to_show < len(fMRIPanel.cluster_labels['intersects']):
layout.label(text='Out of {} labels'.format(len(fMRIPanel.cluster_labels['intersects'])))
# row = layout.row(align=True)
layout.operator(PlotAllBlobs.bl_idname, text="Plot all blobs", icon='POTATO')
# if _addon().is_pial(): # or _addon().get_inflated_ratio() == 1:
layout.operator(NearestCluster.bl_idname, text="Nearest cluster", icon='MOD_SKIN')
# layout.prop(context.scene, 'search_closest_cluster_only_in_filtered', text="Seach only in filtered blobs")
# layout.operator(LoadMEGData.bl_idname, text="Save as functional ROIs", icon='IPO')
# layout.prop(context.scene, 'fmri_blobs_norm_by_percentile', text="Norm by percentiles")
# if bpy.context.scene.fmri_blobs_norm_by_percentile:
# layout.prop(context.scene, 'fmri_blobs_percentile_min', text="Percentile min")
# layout.prop(context.scene, 'fmri_blobs_percentile_max', text="Percentile max")
# layout.operator(FindfMRIFilesMinMax.bl_idname, text="Calc minmax for all files", icon='IPO')
layout.operator(fmriClearColors.bl_idname, text="Clear", icon='PANEL_CLOSE')
def fMRI_draw(self, context):
layout = self.layout
user_fol = mu.get_user_fol()
# clusters_labels_files = glob.glob(op.join(user_fol, 'fmri', 'clusters_labels_*.npy'))
# if len(clusters_labels_files) > 1:
layout.prop(context.scene, 'fmri_clusters_labels_files', text='')
row = layout.row(align=True)
row.prop(context.scene, 'fmri_clustering_threshold', text='Threshold')
row.operator(RefinefMRIClusters.bl_idname, text="Find clusters", icon='GROUP_VERTEX')
layout.prop(context.scene, 'fmri_cluster_val_threshold', text='clusters t-val threshold')
layout.prop(context.scene, 'fmri_cluster_size_threshold', text='clusters size threshold')
layout.operator(FilterfMRIBlobs.bl_idname, text="Filter blobs", icon='FILTER')
row = layout.row(align=True)
row.operator(PrevCluster.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, 'fmri_clusters', text="")
row.operator(NextCluster.bl_idname, text="", icon='NEXT_KEYFRAME')
layout.prop(context.scene, 'plot_current_cluster', text="Plot current cluster")
# layout.prop(context.scene, 'fmri_what_to_plot', expand=True)
row = layout.row(align=True)
row.label(text='Sort: ')
row.prop(context.scene, 'fmri_how_to_sort', expand=True)
if not fMRIPanel.cluster_labels is None and len(fMRIPanel.cluster_labels) > 0:
if 'size' not in fMRIPanel.cluster_labels:
fMRIPanel.cluster_labels['size'] = len(fMRIPanel.cluster_labels['vertices'])
blob_size = fMRIPanel.cluster_labels['size']
col = layout.box().column()
mu.add_box_line(col, 'Max val', '{:.2f}'.format(fMRIPanel.cluster_labels['max']), 0.7)
mu.add_box_line(col, 'Size', str(blob_size), 0.7)
col = layout.box().column()
labels_num_to_show = min(7, len(fMRIPanel.cluster_labels['intersects']))
for inter_labels in fMRIPanel.cluster_labels['intersects'][:labels_num_to_show]:
mu.add_box_line(col, inter_labels['name'], '{:.0%}'.format(inter_labels['num'] / float(blob_size)), 0.8)
if labels_num_to_show < len(fMRIPanel.cluster_labels['intersects']):
layout.label(text='Out of {} labels'.format(len(fMRIPanel.cluster_labels['intersects'])))
# row = layout.row(align=True)
layout.operator(PlotAllBlobs.bl_idname, text="Plot all blobs", icon='POTATO')
layout.operator(NearestCluster.bl_idname, text="Nearest cluster", icon='MOD_SKIN')
layout.prop(context.scene, 'search_closest_cluster_only_in_filtered', text="Seach only in filtered blobs")
layout.operator(LoadMEGData.bl_idname, text="Save as functional ROIs", icon='IPO')
def elecs_draw(self, context):
layout = self.layout
box = layout.box()
if ElecsPanel.electrodes_labeling_file_exist and len(ElecsPanel.labling_files) > 1:
box.prop(context.scene, "electrodes_labeling_files", text="")
if ElecsPanel.electrodes_labeling_file_exist and len(ElecsPanel.labling_files) > 0:
box.label(text='Model: {}'.format(context.scene.electrodes_labeling_files.split('_')[1]))
row = box.row(align=True)
row.operator(PrevLead.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, "leads", text="")
row.operator(NextLead.bl_idname, text="", icon='NEXT_KEYFRAME')
row = box.row(align=True)
row.operator(PrevElectrode.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, "electrodes", text="")
row.operator(NextElectrode.bl_idname, text="", icon='NEXT_KEYFRAME')
if len(ElecsPanel.subcortical_rois) > 0 or len(ElecsPanel.cortical_rois) > 0:
# box = layout.box()
col = box.column()
for subcortical_name, subcortical_prob in zip(ElecsPanel.subcortical_rois, ElecsPanel.subcortical_probs):
mu.add_box_line(col, subcortical_name, '{:.3f}'.format(subcortical_prob), 0.8)
for cortical_name, cortical_prob in zip(ElecsPanel.cortical_rois, ElecsPanel.cortical_probs):
if cortical_prob >= 0.001:
mu.add_box_line(col, cortical_name, '{:.3f}'.format(cortical_prob), 0.8)
# box = layout.box()
# box.prop(context.scene, "electrodes_hemis", text="")
# box.prop(context.scene, "electrodes_hemi_labels", text="")
if bpy.context.scene.electrodes_more_settings:
layout.prop(context.scene, 'show_electrodes_labels', text="Show labels")
layout.prop(context.scene, 'show_only_lead', text="Show only the current lead")
# row = layout.row(align=True)
if ElecsPanel.electrodes_labeling_file_exist:
layout.prop(context.scene, 'color_lables', text="Color probabilities")
# row.prop(context.scene, 'electrodes_label_contours', text="Color contours")
# layout.label(text='What to color: ')
# if bpy.context.scene.color_lables:
# layout.prop(context.scene, 'electrodes_what_to_color', text='What to color', expand=True)
if ElecsPanel.groups_hemi:
row = layout.row(align=True)
row.prop(context.scene, "show_lh_electrodes", text="Left hemi")
row.prop(context.scene, "show_rh_electrodes", text="Right hemi")
if ElecsPanel.electrodes_labeling_file_exist:
layout.prop(context.scene, "electrode_rotate", text="Rotate view on click")
row = layout.row(align=True)
row.prop(context.scene, "show_electrodes_groups_leads", text="Show leads")
leads_obj = bpy.data.objects.get('leads', None)
if leads_obj is None or len(leads_obj.children) == 0:
row.prop(context.scene, "electrodes_create_curved_leads", text="Curved")
# row.prop(context.scene, "electrodes_leads_color", text='')
if ElecsPanel.ela_code_exist and ElecsPanel.atlases_exist:
layout.prop(context.scene, "show_ela", text="Show ELA options")
if bpy.context.scene.show_ela:
col = layout.box().column()
col.prop(context.scene, "ela_bipolar", text="Bipolar")
col.prop(context.scene, "ela_atlas", text='')
col.operator(RunELA.bl_idname, text="Calc electrodes probs", icon='TEXTURE')
row = layout.row(align=True)
if not bpy.context.scene.listen_to_keyboard:
layout.operator(KeyboardListener.bl_idname, text="Listen to keyboard", icon='COLOR_GREEN')
else:
layout.operator(KeyboardListener.bl_idname, text="Stop listen to keyboard", icon='COLOR_RED')
box = layout.box()
col = box.column()
mu.add_box_line(col, 'Left', 'Previous electrodes')
mu.add_box_line(col, 'Right', 'Next electrodes')
mu.add_box_line(col, 'Down', 'Previous lead')
mu.add_box_line(col, 'Up', 'Next lead')
row.operator(ColorElectrodes.bl_idname, text="Color electrodes")
row.prop(context.scene, "electrodes_color_only_selected", text='Only selected')
row.prop(context.scene, 'electrodes_color', text='')
layout.operator(ExportElectrodes.bl_idname, text="Export", icon='EXPORT')
layout.prop(context.scene, "elc_size", text="size")
layout.operator(DeleteElectrodes.bl_idname, text="Delete electrodes", icon='CANCEL')
layout.operator(ClearElectrodes.bl_idname, text="Clear", icon='PANEL_CLOSE')
layout.prop(context.scene, 'electrodes_more_settings', text='More settings')
def elecs_draw(self, context):
layout = self.layout
if ElecsPanel.electrodes_labeling_file_exist:
layout.prop(context.scene, "electrodes_labeling_files", text="")
row = layout.row(align=True)
row.operator(PrevLead.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, "leads", text="")
row.operator(NextLead.bl_idname, text="", icon='NEXT_KEYFRAME')
row = layout.row(align=True)
row.operator(PrevElectrode.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, "electrodes", text="")
row.operator(NextElectrode.bl_idname, text="", icon='NEXT_KEYFRAME')
layout.prop(context.scene,
'show_only_lead',
text="Show only the current lead")
row = layout.row(align=True)
if ElecsPanel.electrodes_labeling_file_exist:
row.prop(context.scene, 'color_lables', text="Color lables")
row.prop(context.scene,
'electrodes_label_contours',
text="Color contours")
# layout.label(text='What to color: ')
# if bpy.context.scene.color_lables:
# layout.prop(context.scene, 'electrodes_what_to_color', text='What to color', expand=True)
row = layout.row(align=True)
row.prop(context.scene, "show_lh_electrodes", text="Left hemi")
row.prop(context.scene, "show_rh_electrodes", text="Right hemi")
row = layout.row(align=True)
row.operator(ColorElectrodes.bl_idname, text="Color electrodes")
row.prop(context.scene, 'electrodes_color', text='')
if not bpy.context.scene.listen_to_keyboard:
layout.operator(KeyboardListener.bl_idname,
text="Listen to keyboard",
icon='COLOR_GREEN')
else:
layout.operator(KeyboardListener.bl_idname,
text="Stop listen to keyboard",
icon='COLOR_RED')
box = layout.box()
col = box.column()
mu.add_box_line(col, 'Left', 'Previous electrodes')
mu.add_box_line(col, 'Right', 'Next electrodes')
mu.add_box_line(col, 'Down', 'Previous lead')
mu.add_box_line(col, 'Up', 'Next lead')
if len(ElecsPanel.subcortical_rois) > 0 or len(
ElecsPanel.cortical_rois) > 0:
box = layout.box()
col = box.column()
for subcortical_name, subcortical_prob in zip(
ElecsPanel.subcortical_rois, ElecsPanel.subcortical_probs):
mu.add_box_line(col, subcortical_name,
'{:.2f}'.format(subcortical_prob), 0.8)
for cortical_name, cortical_prob in zip(ElecsPanel.cortical_rois,
ElecsPanel.cortical_probs):
mu.add_box_line(col, cortical_name, '{:.2f}'.format(cortical_prob),
0.8)
layout.prop(context.scene, "elc_size", text="")
layout.operator(ClearElectrodes.bl_idname,
text="Clear",
icon='PANEL_CLOSE')
layout.operator(ExportElectrodes.bl_idname, text="Export", icon='EXPORT')
row = layout.row(align=True)
row.prop(context.scene, "show_electrodes_groups_leads", text="Show leads")
row.prop(context.scene, "electrodes_leads_color")
def elecs_draw(self, context):
layout = self.layout
layout.prop(context.scene, "electrodes_labeling_files", text="")
row = layout.row(align=True)
row.operator(PrevLead.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, "leads", text="")
row.operator(NextLead.bl_idname, text="", icon='NEXT_KEYFRAME')
row = layout.row(align=True)
row.operator(PrevElectrode.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, "electrodes", text="")
row.operator(NextElectrode.bl_idname, text="", icon='NEXT_KEYFRAME')
layout.prop(context.scene, 'show_only_lead', text="Show only the current lead")
layout.prop(context.scene, 'color_lables', text="Color the relevant lables")
# layout.label(text='What to color: ')
if bpy.context.scene.color_lables:
layout.prop(context.scene, 'electrodes_what_to_color', text='What to color', expand=True)
row = layout.row(align=True)
row.prop(context.scene, "show_lh_electrodes", text="Left hemi")
row.prop(context.scene, "show_rh_electrodes", text="Right hemi")
if not bpy.context.scene.listen_to_keyboard:
layout.operator(KeyboardListener.bl_idname, text="Listen to keyboard", icon='COLOR_GREEN')
else:
layout.operator(KeyboardListener.bl_idname, text="Stop listen to keyboard", icon='COLOR_RED')
box = layout.box()
col = box.column()
mu.add_box_line(col, 'Left', 'Previous electrodes')
mu.add_box_line(col, 'Right', 'Next electrodes')
mu.add_box_line(col, 'Down', 'Previous lead')
mu.add_box_line(col, 'Up', 'Next lead')
if len(ElecsPanel.subcortical_rois) > 0 or len(ElecsPanel.cortical_rois) > 0:
box = layout.box()
col = box.column()
for subcortical_name, subcortical_prob in zip(ElecsPanel.subcortical_rois, ElecsPanel.subcortical_probs):
mu.add_box_line(col, subcortical_name, '{:.2f}'.format(subcortical_prob), 0.8)
for cortical_name, cortical_prob in zip(ElecsPanel.cortical_rois, ElecsPanel.cortical_probs):
mu.add_box_line(col, cortical_name, '{:.2f}'.format(cortical_prob), 0.8)
layout.operator(ClearElectrodes.bl_idname, text="Clear", icon='PANEL_CLOSE')
def meg_draw(self, context):
layout = self.layout
layout.prop(context.scene, 'meg_clusters_labels_files', text='')
if MNE_EXIST:
layout.operator(PlotMEGClusters.bl_idname,
text='Plot STC',
icon='POTATO')
row = layout.row(align=True)
row.operator(PrevMEGCluster.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, 'meg_clusters', text='')
row.operator(NextMEGCluster.bl_idname, text="", icon='NEXT_KEYFRAME')
row = layout.row(align=True)
row.label(text='Sort: ')
row.prop(context.scene, 'meg_how_to_sort', expand=True)
layout.prop(context.scene, 'meg_show_filtering', text='Refine clusters')
if bpy.context.scene.meg_show_filtering:
layout.prop(context.scene,
'meg_clusters_val_threshold',
text='Val threshold')
layout.prop(context.scene,
'meg_clusters_size_threshold',
text='Size threshold')
layout.prop(context.scene, 'meg_clusters_label', text='Label filter')
layout.operator(FilterMEGClusters.bl_idname,
text="Filter clusters",
icon='FILTER')
layout.prop(context.scene,
'plot_current_meg_cluster',
text="Plot current cluster's contour")
layout.prop(context.scene,
'cumulate_meg_cluster',
text="Cumulate contours")
if not MEGPanel.current_cluster is None and len(
MEGPanel.current_cluster
) > 0: # and not MEGPanel.dont_show_clusters_info:
cluster_size = MEGPanel.current_cluster['size']
col = layout.box().column()
mu.add_box_line(col, 'Max val',
'{:.2f}'.format(MEGPanel.current_cluster['max']), 0.7)
mu.add_box_line(col, 'Size', str(cluster_size), 0.7)
col = layout.box().column()
labels_num_to_show = min(7,
len(MEGPanel.current_cluster['intersects']))
for inter_labels in MEGPanel.current_cluster[
'intersects'][:labels_num_to_show]:
mu.add_box_line(
col, inter_labels['name'],
'{:.0%}'.format(inter_labels['num'] / float(cluster_size)),
0.8)
if labels_num_to_show < len(MEGPanel.current_cluster['intersects']):
layout.label(text='Out of {} labels'.format(
len(MEGPanel.current_cluster['intersects'])))
layout.operator(SelectAllClusters.bl_idname,
text="Select all",
icon='BORDER_RECT')
text = 'Flip time series' if not MEGPanel.data_is_flipped else 'Unflip time series'
layout.operator(FlipMEGClustersTS.bl_idname,
text=text,
icon='FORCE_MAGNETIC')
layout.operator(DeselecAllClusters.bl_idname,
text="Deselect all",
icon='PANEL_CLOSE')
layout.operator(ClearClusters.bl_idname,
text="Clear all clusters",
icon='PANEL_CLOSE')
layout.operator(_addon().ClearColors.bl_idname,
text="Clear activity",
icon='PANEL_CLOSE')
layout.prop(context.scene,
'calc_meg_dipole_fit',
text='Show dipole fit info')
if bpy.context.scene.calc_meg_dipole_fit:
col = layout.box().column()
col.prop(context.scene, 'meg_evoked_fname', text='evoked')
col.prop(context.scene, 'meg_noise_cov_fname', text='noise cov')
col.prop(context.scene,
'head_to_mri_trans_mat_fname',
text='trans mat')
row = col.row(align=True)
row.prop(context.scene, 'meg_dipole_fit_tmin', text='from t(s)')
row.prop(context.scene, 'meg_dipole_fit_tmax', text='to t(s)')
row = col.row(align=True)
row.prop(context.scene, 'meg_dipole_fit_use_meg', text='use MEG')
row.prop(context.scene, 'meg_dipole_fit_use_eeg', text='use EEG')
col.operator(DipoleFit.bl_idname, text='Dipole fit', icon='OOPS')
def fMRI_draw(self, context):
layout = self.layout
user_fol = mu.get_user_fol()
# clusters_labels_files = glob.glob(op.join(user_fol, 'fmri', 'clusters_labels_*.npy'))
# if len(clusters_labels_files) > 1:
if not fMRIPanel.fMRI_clusters_files_exist and _addon(
).coloring.fMRI_constrasts_exist() > 0:
row = layout.row(align=True)
row.prop(context.scene, 'fmri_clustering_threshold', text='Threshold')
layout.operator(CalcClusters.bl_idname,
text="Find clusters",
icon='GROUP_VERTEX')
return
layout.prop(context.scene, 'fmri_clusters_labels_files', text='')
if len(fMRIPanel.clusters_labels_files) > 1:
layout.prop(context.scene, 'fmri_clusters_labels_parcs', text='')
row = layout.row(align=True)
row.operator(PrevCluster.bl_idname, text="", icon='PREV_KEYFRAME')
row.prop(context.scene, 'fmri_clusters', text="")
row.operator(NextCluster.bl_idname, text="", icon='NEXT_KEYFRAME')
row = layout.row(align=True)
row.label(text='Sort: ')
row.prop(context.scene, 'fmri_how_to_sort', expand=True)
if not fMRIPanel.cluster_labels is None and len(fMRIPanel.cluster_labels) > 0 and \
not fMRIPanel.dont_show_clusters_info:
if 'size' not in fMRIPanel.cluster_labels:
fMRIPanel.cluster_labels['size'] = len(
fMRIPanel.cluster_labels['vertices'])
blob_size = fMRIPanel.cluster_labels['size']
col = layout.box().column()
mu.add_box_line(col, 'Max val',
'{:.2f}'.format(fMRIPanel.cluster_labels['max']), 0.7)
mu.add_box_line(col, 'Size', str(blob_size), 0.7)
col = layout.box().column()
labels_num_to_show = min(7,
len(fMRIPanel.cluster_labels['intersects']))
for inter_labels in fMRIPanel.cluster_labels[
'intersects'][:labels_num_to_show]:
mu.add_box_line(
col, inter_labels['name'],
'{:.0%}'.format(inter_labels['num'] / float(blob_size)), 0.8)
if labels_num_to_show < len(fMRIPanel.cluster_labels['intersects']):
col.label(text='Out of {} labels'.format(
len(fMRIPanel.cluster_labels['intersects'])))
if len(fMRIPanel.electrodes_in_cluster) > 0:
box = layout.box()
box.label(text='Electrodes close to cluster:')
col = box.box().column()
for dist, elec_name, elc_rois, elec_prob in fMRIPanel.electrodes_in_cluster:
# if elec_prob >= 0.01:
mu.add_box_line(
col, elec_name, '{:.2f}'.format(dist), 0.8
) #_# '{:.2f}'.format(elec_prob), 0.8) ','.join(elc_rois)
box.prop(context.scene,
'show_only_electrodes_near_cluster',
text='Show only those electrdes')
# row.prop(context.scene, 'fmri_clustering_threshold', text='Threshold')
# row.operator(CalcClusters.bl_idname, text="Recalculate clusters", icon='GROUP_VERTEX')
layout.prop(context.scene, 'fmri_show_filtering', text='Refine clusters')
if bpy.context.scene.fmri_show_filtering:
# row.operator(RefinefMRIClusters.bl_idname, text="Find clusters", icon='GROUP_VERTEX')
col = layout.box().column()
col.prop(context.scene,
'fmri_cluster_val_threshold',
text='clusters t-val threshold')
col.prop(context.scene,
'fmri_cluster_size_threshold',
text='clusters size threshold')
col.prop(context.scene, 'fmri_clustering_filter', text='starts with')
row = col.row(align=True)
row.prop(context.scene,
'fmri_clustering_filter_lh',
text='Left hemisphere')
row.prop(context.scene,
'fmri_clustering_filter_rh',
text='Right hemisphere')
# if len(fMRIPanel.electrodes_in_cluster) > 0:
col.prop(context.scene,
'fmri_only_clusters_with_electrodes',
text='Only with electrodes')
# layout.operator(FilterfMRIBlobs.bl_idname, text="Filter blobs", icon='FILTER')
# layout.prop(context.scene, 'plot_current_cluster', text="Plot current cluster")
if bpy.context.scene.fmri_more_settings:
row = layout.row(align=True)
row.prop(context.scene,
'plot_fmri_cluster_contours',
text="Plot cluster contours")
row.prop(context.scene, 'fmri_cluster_contours_color', text="")
layout.prop(context.scene,
'plot_fmri_cluster_per_click',
text="Listen to left clicks")
# layout.prop(context.scene, 'fmri_what_to_plot', expand=True)
# row = layout.row(align=True)
layout.operator(PlotAllBlobs.bl_idname,
text="Plot all blobs",
icon='POTATO')
# if _addon().is_pial(): # or _addon().get_inflated_ratio() == 1:
layout.operator(NearestCluster.bl_idname,
text="Nearest cluster",
icon='MOD_SKIN')
# layout.prop(context.scene, 'search_closest_cluster_only_in_filtered', text="Seach only in filtered blobs")
# layout.operator(LoadMEGData.bl_idname, text="Save as functional ROIs", icon='IPO')
# layout.prop(context.scene, 'fmri_blobs_norm_by_percentile', text="Norm by percentiles")
# if bpy.context.scene.fmri_blobs_norm_by_percentile:
# layout.prop(context.scene, 'fmri_blobs_percentile_min', text="Percentile min")
# layout.prop(context.scene, 'fmri_blobs_percentile_max', text="Percentile max")
# layout.operator(FindfMRIFilesMinMax.bl_idname, text="Calc minmax for all files", icon='IPO')
if mu.is_freesurfer_exist and bpy.context.scene.fmri_more_settings:
layout.operator(LoadVolumefMRIFile.bl_idname, text="Load volume fMRI file", icon='LOAD_FACTORY').filepath = \
op.join(mu.get_user_fol(), 'fmri', '*.*')
layout.operator(fmriClearColors.bl_idname,
text="Clear",
icon='PANEL_CLOSE')
layout.prop(context.scene, 'fmri_more_settings', text='More settings')
def skull_draw(self, context):
layout = self.layout
source_str = 'from_inner' if bpy.context.scene.cast_ray_source == 'inner' else 'from_outer'
dists_exist = op.isfile(
op.join(mu.get_user_fol(), 'skull',
'ray_casts_{}.npy'.format(source_str)))
skull_exist = bpy.data.objects.get('inner_skull', None) is not None and \
bpy.data.objects.get('outer_skull', None) is not None
plane = bpy.data.objects.get('skull_plane', None)
plane_exist = plane is not None
if not skull_exist:
layout.operator(ImportSkull.bl_idname,
text="Import skull",
icon='MATERIAL_DATA')
# layout.operator(CalcThickness.bl_idname, text="calc thickness", icon='MESH_ICOSPHERE')
debug = True
if not dists_exist or debug:
layout.operator(CalcThickness.bl_idname,
text="Calc thickness",
icon='MESH_ICOSPHERE')
layout.prop(context.scene,
'create_thickness_arrows',
text='Create thickness arrows')
layout.operator(PlotThickness.bl_idname,
text="Plot thickness",
icon='GROUP_VCOL')
text = 'Import plane' if not plane_exist else 'Place plane over the head'
layout.operator(ImportPlane.bl_idname, text=text, icon='TEXTURE')
if plane_exist:
layout.operator(AlignPlane.bl_idname,
text="Align plane",
icon='LATTICE_DATA')
layout.operator(CalcPlaneStat.bl_idname,
text="Calc plane stat",
icon='PARTICLE_DATA')
if SkullPanel.plane_dir_vec is not None:
row = layout.row(align=True)
row.operator(RotateSkullPlaneNeg.bl_idname,
text="",
icon='PREV_KEYFRAME')
row.prop(context.scene, 'skull_plane_angle', text='Angle delta')
row.operator(RotateSkullPlanePos.bl_idname,
text="",
icon='NEXT_KEYFRAME')
layout.prop(context.scene,
'align_plane_to_cursor',
text='Align to cursor')
layout.prop(context.scene, 'hide_skull_plane', text='Hide plane')
if SkullPanel.plane_thickness is not None:
box = layout.box()
col = box.column()
mu.add_box_line(col, 'Min thickness',
'{:.2f}mm'.format(SkullPanel.plane_thickness[0]), 0.8)
mu.add_box_line(col, 'Max thickness',
'{:.2f}mm'.format(SkullPanel.plane_thickness[1]), 0.8)
mu.add_box_line(col, 'Mean thickness',
'{:.2f}mm'.format(SkullPanel.plane_thickness[2]), 0.8)
layout.prop(context.scene, 'cast_ray_source', expand=True)
# layout.operator(FindPointThickness.bl_idname, text="Calc point thickness", icon='MESH_DATA')
if SkullPanel.vertex_skull_thickness > 0:
layout.label(
text='Thickness: {:.3f}'.format(SkullPanel.vertex_skull_thickness))
from_string = 'from_{}'.format(
'inner' if bpy.context.scene.cast_ray_source else 'outer')
arrows_empty_name = 'thickness_arrows_{}'.format(from_string)
if bpy.data.objects.get(arrows_empty_name):
layout.prop(context.scene,
'show_point_arrow',
text='Show point thickness vector')
layout.prop(context.scene, 'thickness_arrows', text='Thickness arrows')