#@ Context ctx #@File initialMastodonProjectFile #@int fill_from_this_timepoint = 0 #@int(value=7) spots_radius = 7 #@double x_centre = 0 #@double y_centre = 0 #@double z_centre = 0 #@double x_step_size = 10 #@double y_step_size = 10 #@double z_step_size = 10 #@int num_divisions = 1 #@boolean(label="Color generations using the FIRST listed tag set") use_colors = False from org.mastodon.mamut.io import ProjectLoader from org.mastodon.mamut import MainWindow import math p = ProjectLoader.open(initialMastodonProjectFile.toString(), ctx) MainWindow(p).setVisible(True) tagMap = None tags = None if use_colors: tagSet = p.getModel().getTagSetModel().getTagSetStructure().getTagSets().get(0) tagMap = p.getModel().getTagSetModel().getVertexTags().tags(tagSet) tags = tagSet.getTags() direction_masks = [ [1,0,0], [0,1,0], [0,0,1] ] def divide_spot(mother_spot, current_position, current_age, division_direction): remaining_generations = num_divisions - current_age if remaining_generations == 0: return # compensate for the fact that the division directions are alternating in x,y,z axes remaining_generations = int( math.ceil(remaining_generations / 3.0) ) # how many ancestors will have each of my daughters grid_positions_needed = 1 << (remaining_generations-1) # and position my daughter into the middle grid_positions_needed /= 2.0 current_mask = direction_masks[division_direction] #print(current_mask, current_position) pos = [ current_position[0] + grid_positions_needed * x_step_size * current_mask[0], \ current_position[1] + grid_positions_needed * y_step_size * current_mask[1], \ current_position[2] + grid_positions_needed * z_step_size * current_mask[2] ] spot = p.getModel().getGraph().addVertex() spot.init(fill_from_this_timepoint + current_age+1, pos, spots_radius) # link to mother p.getModel().getGraph().addEdge(mother_spot,spot).init() if use_colors: layer = (current_age//3) % len(tags) tagMap.set(spot, tags[layer]) divide_spot(spot, pos, current_age+1, (division_direction+1)%3) pos = [ current_position[0] - grid_positions_needed * x_step_size * current_mask[0], \ current_position[1] - grid_positions_needed * y_step_size * current_mask[1], \ current_position[2] - grid_positions_needed * z_step_size * current_mask[2] ] spot = p.getModel().getGraph().addVertex() spot.init(fill_from_this_timepoint + current_age+1, pos, spots_radius) # link to mother p.getModel().getGraph().addEdge(mother_spot,spot).init() if use_colors: layer = (current_age//3) % len(tags) tagMap.set(spot, tags[layer]) divide_spot(spot, pos, current_age+1, (division_direction+1)%3) # introduce the very first spot, start "growing" pos = [x_centre, y_centre, z_centre] spot = p.getModel().getGraph().addVertex() spot.init(fill_from_this_timepoint, pos, spots_radius) if use_colors: tagMap.set(spot, tags[-1]) divide_spot(spot, pos, 0, 0) print("done adding spots")