def read_groups_labels(colors):
groups_fname = op.join(mu.get_parent_fol(mu.get_user_fol()), '{}_groups.csv'.format(bpy.context.scene.atlas))
if not op.isfile(groups_fname):
return {}
groups = defaultdict(list) # OrderedDict() # defaultdict(list)
color_ind = 0
for line in mu.csv_file_reader(groups_fname):
group_name = line[0]
group_color = line[1]
labels = line[2:]
if group_name[0] == '#':
continue
groups[group_name] = []
for label in labels:
# group_color = cu.name_to_rgb(colors[color_ind])
groups[group_name].append(dict(name=label, color=cu.name_to_rgb(group_color)))
color_ind += 1
order_groups = OrderedDict()
groups_names = sorted(list(groups.keys()))
for group_name in groups_names:
order_groups[group_name] = groups[group_name]
return order_groups
def read_groups_labels(colors):
groups_fname = op.join(mu.get_parent_fol(mu.get_user_fol()), '{}_groups.csv'.format(bpy.context.scene.atlas))
if not op.isfile(groups_fname):
return {}
groups = defaultdict(list) # OrderedDict() # defaultdict(list)
color_ind = 0
for line in mu.csv_file_reader(groups_fname):
group_name = line[0]
group_color = line[1]
labels = line[2:]
if group_name[0] == '#':
continue
groups[group_name] = []
for label in labels:
# group_color = cu.name_to_rgb(colors[color_ind])
groups[group_name].append(dict(name=label, color=cu.name_to_rgb(group_color)))
color_ind += 1
order_groups = OrderedDict()
groups_names = sorted(list(groups.keys()))
for group_name in groups_names:
order_groups[group_name] = groups[group_name]
return order_groups
def color_manually():
ColoringMakerPanel.what_is_colored.add(WIC_MANUALLY)
init_activity_map_coloring('FMRI')
subject_fol = mu.get_user_fol()
objects_names, colors, data = defaultdict(list), defaultdict(list), defaultdict(list)
for line in mu.csv_file_reader(op.join(subject_fol, 'coloring', '{}.csv'.format(bpy.context.scene.coloring_files))):
obj_name, color_name = line[0], line[1:]
if obj_name[0] == '#':
continue
if isinstance(color_name, list) and len(color_name) == 1:
color_name = color_name[0]
obj_type = mu.check_obj_type(obj_name)
if isinstance(color_name, str) and color_name.startswith('mark'):
import filter_panel
filter_panel.filter_roi_func(obj_name, mark=color_name)
else:
if isinstance(color_name, str):
color_rgb = cu.name_to_rgb(color_name)
# Check if the color is already in RBG
elif len(color_name) == 3:
color_rgb = color_name
else:
print('Unrecognize color! ({})'.format(color_name))
continue
color_rgb = list(map(float, color_rgb))
if obj_type is not None:
objects_names[obj_type].append(obj_name)
colors[obj_type].append(color_rgb)
data[obj_type].append(1.)
color_objects(objects_names, colors, data)
if op.isfile(op.join(subject_fol, 'coloring', '{}_legend.jpg'.format(bpy.context.scene.coloring_files))):
cmd = '{} -m src.preproc.electrodes_preproc -s {} -a {} -f show_labeling_coloring'.format(
bpy.context.scene.python_cmd, mu.get_user(), bpy.context.scene.atlas)
print('Running {}'.format(cmd))
mu.run_command_in_new_thread(cmd, False)
def color_manually():
ColoringMakerPanel.what_is_colored.add(WIC_MANUALLY)
init_activity_map_coloring('FMRI')
subject_fol = mu.get_user_fol()
objects_names, colors, data = defaultdict(list), defaultdict(list), defaultdict(list)
for line in mu.csv_file_reader(op.join(subject_fol, 'coloring', '{}.csv'.format(bpy.context.scene.coloring_files))):
obj_name, color_name = line[0], line[1:]
if obj_name[0] == '#':
continue
if isinstance(color_name, list) and len(color_name) == 1:
color_name = color_name[0]
obj_type = mu.check_obj_type(obj_name)
if isinstance(color_name, str) and color_name.startswith('mark'):
import filter_panel
filter_panel.filter_roi_func(obj_name, mark=color_name)
else:
if isinstance(color_name, str):
color_rgb = cu.name_to_rgb(color_name)
# Check if the color is already in RBG
elif len(color_name) == 3:
color_rgb = color_name
else:
print('Unrecognize color! ({})'.format(color_name))
continue
color_rgb = list(map(float, color_rgb))
if obj_type is not None:
objects_names[obj_type].append(obj_name)
colors[obj_type].append(color_rgb)
data[obj_type].append(1.)
color_objects(objects_names, colors, data)
if op.isfile(op.join(subject_fol, 'coloring', '{}_legend.jpg'.format(bpy.context.scene.coloring_files))):
cmd = '{} -m src.preproc.electrodes_preproc -s {} -a {} -f show_labeling_coloring'.format(
bpy.context.scene.python_cmd, mu.get_user(), bpy.context.scene.atlas)
print('Running {}'.format(cmd))
mu.run_command_in_new_thread(cmd, False)
