# ##### BEGIN GPL LICENSE BLOCK ##### # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software Foundation, # Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. # # ##### END GPL LICENSE BLOCK ##### import bpy import threading import numpy as np import multiprocessing from multiprocessing import Process, Pool weight = [] n_threads = multiprocessing.cpu_count() class ThreadVertexGroup(threading.Thread): def __init__ ( self, id, vertex_group, n_verts): self.id = id self.vertex_group = vertex_group self.n_verts = n_verts threading.Thread.__init__ ( self ) def run (self): global weight global n_threads verts = np.arange(int(self.n_verts/8))*8 + self.id for v in verts: try: weight[v] = self.vertex_group.weight(v) except: pass def thread_read_weight(_weight, vertex_group): global weight global n_threads print(n_threads) weight = _weight n_verts = len(weight) threads = [ThreadVertexGroup(i, vertex_group, n_verts) for i in range(n_threads)] for t in threads: t.start() for t in threads: t.join() return weight def process_read_weight(id, vertex_group, n_verts): global weight global n_threads verts = np.arange(int(self.n_verts/8))*8 + self.id for v in verts: try: weight[v] = self.vertex_group.weight(v) except: pass def read_weight(_weight, vertex_group): global weight global n_threads print(n_threads) weight = _weight n_verts = len(weight) n_cores = multiprocessing.cpu_count() pool = Pool(processes=n_cores) multiple_results = [pool.apply_async(process_read_weight, (i, vertex_group, n_verts)) for i in range(n_cores)] #processes = [Process(target=process_read_weight, args=(i, vertex_group, n_verts)) for i in range(n_threads)] #for t in processes: t.start() #for t in processes: t.join() return weight #Recursively transverse layer_collection for a particular name def recurLayerCollection(layerColl, collName): found = None if (layerColl.name == collName): return layerColl for layer in layerColl.children: found = recurLayerCollection(layer, collName) if found: return found def auto_layer_collection(): # automatically change active layer collection layer = bpy.context.view_layer.active_layer_collection layer_collection = bpy.context.view_layer.layer_collection if layer.hide_viewport or layer.collection.hide_viewport: collections = bpy.context.object.users_collection for c in collections: lc = recurLayerCollection(layer_collection, c.name) if not c.hide_viewport and not lc.hide_viewport: bpy.context.view_layer.active_layer_collection = lc def lerp(a, b, t): return a + (b - a) * t def _lerp2(v1, v2, v3, v4, v): v12 = v1.lerp(v2,v.x) # + (v2 - v1) * v.x v34 = v3.lerp(v4,v.x) # + (v4 - v3) * v.x return v12.lerp(v34, v.y)# + (v34 - v12) * v.y def lerp2(v1, v2, v3, v4, v): v12 = v1 + (v2 - v1) * v.x v34 = v3 + (v4 - v3) * v.x return v12 + (v34 - v12) * v.y def lerp3(v1, v2, v3, v4, v): loc = lerp2(v1.co, v2.co, v3.co, v4.co, v) nor = lerp2(v1.normal, v2.normal, v3.normal, v4.normal, v) nor.normalize() return loc + nor * v.z def _convert_object_to_mesh(ob, apply_modifiers=True, preserve_status=True): if not apply_modifiers: mod_visibility = [m.show_viewport for m in ob.modifiers] for m in ob.modifiers: m.show_viewport = False if preserve_status: # store status mode = bpy.context.object.mode selected = bpy.context.selected_objects active = bpy.context.object # change status bpy.ops.object.mode_set(mode='OBJECT') bpy.ops.object.select_all(action='DESELECT') new_ob = ob.copy() new_ob.data = ob.data.copy() bpy.context.collection.objects.link(new_ob) bpy.context.view_layer.objects.active = new_ob new_ob.select_set(True) bpy.ops.object.convert(target='MESH') if preserve_status: # restore status bpy.ops.object.select_all(action='DESELECT') for o in selected: o.select_set(True) bpy.context.view_layer.objects.active = active bpy.ops.object.mode_set(mode=mode) if not apply_modifiers: for m,vis in zip(ob.modifiers,mod_visibility): m.show_viewport = vis return new_ob def convert_object_to_mesh(ob, apply_modifiers=True, preserve_status=True): if not ob.name: return None if ob.type != 'MESH': if not apply_modifiers: mod_visibility = [m.show_viewport for m in ob.modifiers] for m in ob.modifiers: m.show_viewport = False #ob.modifiers.update() #dg = bpy.context.evaluated_depsgraph_get() #ob_eval = ob.evaluated_get(dg) #me = bpy.data.meshes.new_from_object(ob_eval, preserve_all_data_layers=True, depsgraph=dg) me = simple_to_mesh(ob) new_ob = bpy.data.objects.new(ob.data.name, me) new_ob.location, new_ob.matrix_world = ob.location, ob.matrix_world if not apply_modifiers: for m,vis in zip(ob.modifiers,mod_visibility): m.show_viewport = vis else: if apply_modifiers: new_ob = ob.copy() new_ob.data = simple_to_mesh(ob) else: new_ob = ob.copy() new_ob.data = ob.data.copy() new_ob.modifiers.clear() bpy.context.collection.objects.link(new_ob) if preserve_status: new_ob.select_set(False) else: for o in bpy.context.view_layer.objects: o.select_set(False) new_ob.select_set(True) bpy.context.view_layer.objects.active = new_ob return new_ob def simple_to_mesh(ob): dg = bpy.context.evaluated_depsgraph_get() ob_eval = ob.evaluated_get(dg) me = bpy.data.meshes.new_from_object(ob_eval, preserve_all_data_layers=True, depsgraph=dg) me.calc_normals() return me # Prevent Blender Crashes with handlers def set_animatable_fix_handler(self, context): old_handlers = [] blender_handlers = bpy.app.handlers.render_init for h in blender_handlers: if "turn_off_animatable" in str(h): old_handlers.append(h) for h in old_handlers: blender_handlers.remove(h) blender_handlers.append(turn_off_animatable) return def turn_off_animatable(scene): for o in bpy.data.objects: o.tissue_tessellate.bool_run = False o.reaction_diffusion_settings.run = False #except: pass return