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I have several faces on the same plane, there is always a largest face and several smaller faces "inside" the larger one.

I've currently got all the faces stored in a list and sorted so the largest is always the the first index of the list faces[0] to make it easier to know which face to cut from and the rest to use as cutters. This also needs to be as fast as possible as there could be hundreds of faces in an interactive modal being updated on-the-fly with 'MOUSEMOVE'

The code below creates the mesh on the left, I'd like to remove sections from the largest face using the smaller faces as cutters while keeping everything in bmesh so it ends up something like the mesh on the right:

enter image description here

I have looked at all the bmesh.ops but have no idea which one would do the job, if any at all. I'm generally "okay" with bmesh, but I've never encountered a problem like this before. Even some pointers on what direction to take would be appreciated.

A side question, anyone know what happened to batFINGER? That dude knew precisely everything :)

import bpy
import bmesh

verts = [(5.88470458984375, 1.1705703735351562, 0.000396728515625), (3.3334121704101562, 4.9888458251953125, 0.000396728515625), (-4.242645263671875, -4.24261474609375, 0.000396728515625), (5.884712219238281, -1.1705093383789062, 0.000396728515625), (-4.242645263671875, 4.242668151855469, 0.000396728515625), (12.054519653320312, 15.040176391601562, 0.000396728515625), (12.767379760742188, 7.8024444580078125, 0.000396728515625), (8.153594970703125, 13.424354553222656, 0.000396728515625), (11.313179016113281, 15.113189697265625, 0.000396728515625), (13.424346923828125, 8.153602600097656, 0.000396728515625), (7.802436828613281, 12.767387390136719, 0.000396728515625), (14.00018310546875, 8.626182556152344, 0.000396728515625), (7.5861968994140625, 12.054534912109375, 0.000396728515625), (14.472763061523438, 9.2020263671875, 0.000396728515625), (7.51318359375, 11.313186645507812, 0.000396728515625), (14.823921203613281, 9.858993530273438, 0.000396728515625), (7.5861968994140625, 10.571846008300781, 0.000396728515625), (15.0401611328125, 10.571846008300781, 0.000396728515625), (7.802436828613281, 9.858993530273438, 0.000396728515625), (15.113174438476562, 11.313194274902344, 0.000396728515625), (8.153594970703125, 9.2020263671875, 0.000396728515625), (15.0401611328125, 12.054534912109375, 0.000396728515625), (8.626174926757812, 8.626182556152344, 0.000396728515625), (14.823921203613281, 12.767387390136719, 0.000396728515625), (9.202011108398438, 8.153602600097656, 0.000396728515625), (14.472763061523438, 13.424362182617188, 0.000396728515625), (9.858978271484375, 7.8024444580078125, 0.000396728515625), (10.57183837890625, 15.040176391601562, 0.000396728515625), (14.00018310546875, 14.000198364257812, 0.000396728515625), (10.57183837890625, 7.586204528808594, 0.000396728515625), (9.858978271484375, 14.823928833007812, 0.000396728515625), (13.424346923828125, 14.4727783203125, 0.000396728515625), (11.313179016113281, 7.513191223144531, 0.000396728515625), (9.202011108398438, 14.472770690917969, 0.000396728515625), (-5.884712219238281, 1.1705703735351562, 0.000396728515625), (-3.814697265625e-06, 6.000022888183594, 0.000396728515625), (-5.543281555175781, 2.2961273193359375, 0.000396728515625), (-10.57180404663086, 15.040168762207031, 0.000396728515625), (1.1705398559570312, -5.8846893310546875, 0.000396728515625), (-9.858940124511719, 7.8024444580078125, 0.000396728515625), (-14.472724914550781, 13.424354553222656, 0.000396728515625), (-11.313140869140625, 15.113182067871094, 0.000396728515625), (-9.201972961425781, 8.153602600097656, 0.000396728515625), (-14.823883056640625, 12.767379760742188, 0.000396728515625), (-8.62613296508789, 8.626182556152344, 0.000396728515625), (-15.04012680053711, 12.054527282714844, 0.000396728515625), (-8.153556823730469, 9.202018737792969, 0.000396728515625), (-15.113143920898438, 11.313186645507812, 0.000396728515625), (-7.802398681640625, 9.858993530273438, 0.000396728515625), (-15.04012680053711, 10.57183837890625, 0.000396728515625), (-7.586158752441406, 10.571846008300781, 0.000396728515625), (-14.823883056640625, 9.858985900878906, 0.000396728515625), (-7.513141632080078, 11.313186645507812, 0.000396728515625), (-14.472724914550781, 9.202018737792969, 0.000396728515625), (-7.586158752441406, 12.054534912109375, 0.000396728515625), (-14.000144958496094, 8.626174926757812, 0.000396728515625), (-7.802398681640625, 12.767387390136719, 0.000396728515625), (-13.424308776855469, 8.153602600097656, 0.000396728515625), (-8.153556823730469, 13.424354553222656, 0.000396728515625), (-12.767337799072266, 7.8024444580078125, 0.000396728515625), (-12.054485321044922, 15.040168762207031, 0.000396728515625), (-8.626136779785156, 14.000190734863281, 0.000396728515625), (-12.054481506347656, 7.586204528808594, 0.000396728515625), (-12.767337799072266, 14.823928833007812, 0.000396728515625), (-9.201980590820312, 14.472770690917969, 0.000396728515625), (-11.313140869140625, 7.51318359375, 0.000396728515625), (-13.424308776855469, 14.472770690917969, 0.000396728515625), (0.0, -5.999977111816406, 0.000396728515625), (6.0, 3.0517578125e-05, 0.000396728515625), (-10.571807861328125, -7.586158752441406, 0.000396728515625), (-9.85894775390625, -14.823883056640625, 0.000396728515625), (-14.472732543945312, -9.201972961425781, 0.000396728515625), (-11.31314468383789, -7.513145446777344, 0.000396728515625), (-9.201976776123047, -14.472724914550781, 0.000396728515625), (-14.82388687133789, -9.85894775390625, 0.000396728515625), (-8.626136779785156, -14.000144958496094, 0.000396728515625), (-15.040130615234375, -10.571800231933594, 0.000396728515625), (-8.153556823730469, -13.424308776855469, 0.000396728515625), (-15.113143920898438, -11.313140869140625, 0.000396728515625), (-7.802402496337891, -12.767333984375, 0.000396728515625), (-15.040130615234375, -12.054489135742188, 0.000396728515625), (-7.586158752441406, -12.054481506347656, 0.000396728515625), (-14.82388687133789, -12.767341613769531, 0.000396728515625), (-7.513145446777344, -11.313140869140625, 0.000396728515625), (-14.472732543945312, -13.424308776855469, 0.000396728515625), (-7.586162567138672, -10.571792602539062, 0.000396728515625), (-14.000152587890625, -14.000152587890625, 0.000396728515625), (-7.802406311035156, -9.858940124511719, 0.000396728515625), (-13.424312591552734, -14.472724914550781, 0.000396728515625), (-8.153564453125, -9.201972961425781, 0.000396728515625), (-12.767341613769531, -14.823883056640625, 0.000396728515625), (-12.054489135742188, -7.586158752441406, 0.000396728515625), (-8.626144409179688, -8.626136779785156, 0.000396728515625), (-12.054489135742188, -15.040130615234375, 0.000396728515625), (-12.767341613769531, -7.802398681640625, 0.000396728515625), (-9.201980590820312, -8.153556823730469, 0.000396728515625), (-11.31314468383789, -15.113143920898438, 0.000396728515625), (-13.424312591552734, -8.153556823730469, 0.000396728515625), (4.2426300048828125, 4.242668151855469, 0.000396728515625), (-3.333423614501953, -4.988792419433594, 0.000396728515625), (2.2960968017578125, -5.543251037597656, 0.000396728515625), (-3.333423614501953, 4.9888458251953125, 0.000396728515625), (12.054519653320312, -7.586158752441406, 0.000396728515625), (12.767379760742188, -14.823883056640625, 0.000396728515625), (8.153594970703125, -9.201972961425781, 0.000396728515625), (11.313179016113281, -7.513145446777344, 0.000396728515625), (13.424346923828125, -14.472724914550781, 0.000396728515625), (7.802436828613281, -9.85894775390625, 0.000396728515625), (14.00018310546875, -14.000144958496094, 0.000396728515625), (7.5861968994140625, -10.571800231933594, 0.000396728515625), (14.472763061523438, -13.424308776855469, 0.000396728515625), (7.51318359375, -11.313140869140625, 0.000396728515625), (14.823921203613281, -12.767333984375, 0.000396728515625), (7.5861968994140625, -12.054489135742188, 0.000396728515625), (15.0401611328125, -12.054481506347656, 0.000396728515625), (7.802436828613281, -12.767341613769531, 0.000396728515625), (15.113174438476562, -11.313140869140625, 0.000396728515625), (8.153594970703125, -13.424308776855469, 0.000396728515625), (15.0401611328125, -10.571792602539062, 0.000396728515625), (8.626174926757812, -14.000152587890625, 0.000396728515625), (14.823921203613281, -9.858940124511719, 0.000396728515625), (9.202011108398438, -14.472724914550781, 0.000396728515625), (14.472763061523438, -9.201972961425781, 0.000396728515625), (9.858978271484375, -14.823883056640625, 0.000396728515625), (10.57183837890625, -7.586158752441406, 0.000396728515625), (14.00018310546875, -8.626136779785156, 0.000396728515625), (10.57183837890625, -15.040130615234375, 0.000396728515625), (9.858978271484375, -7.802398681640625, 0.000396728515625), (13.424339294433594, -8.153556823730469, 0.000396728515625), (11.313179016113281, -15.113143920898438, 0.000396728515625), (9.202011108398438, -8.153556823730469, 0.000396728515625), (12.767372131347656, 14.823936462402344, 0.000396728515625), (12.054519653320312, 7.586204528808594, 0.000396728515625), (8.626174926757812, 14.000198364257812, 0.000396728515625), (-1.1705436706542969, -5.8846893310546875, 0.000396728515625), (4.242645263671875, -4.24261474609375, 0.000396728515625), (-9.85894775390625, 14.823928833007812, 0.000396728515625), (-10.571796417236328, 7.586204528808594, 0.000396728515625), (-14.000144958496094, 14.000190734863281, 0.000396728515625), (-6.000003814697266, 2.288818359375e-05, 0.000396728515625), (-4.988822937011719, -3.3333969116210938, 0.000396728515625), (-4.988822937011719, 3.3334503173828125, 0.000396728515625), (4.9888153076171875, -3.3333892822265625, 0.000396728515625), (-9.858955383300781, -7.802398681640625, 0.000396728515625), (-2.2961044311523438, -5.543251037597656, 0.000396728515625), (-10.571800231933594, -15.040130615234375, 0.000396728515625), (-14.000152587890625, -8.626136779785156, 0.000396728515625), (4.9888153076171875, 3.3334503173828125, 0.000396728515625), (-1.1705474853515625, 5.884735107421875, 0.000396728515625), (1.1705322265625, 5.884735107421875, 0.000396728515625), (3.3334197998046875, -4.988792419433594, 0.000396728515625), (-5.543281555175781, -2.2960739135742188, 0.000396728515625), (5.54327392578125, 2.2961349487304688, 0.000396728515625), (-2.2961044311523438, 5.543304443359375, 0.000396728515625), (12.767372131347656, -7.802398681640625, 0.000396728515625), (12.054519653320312, -15.040130615234375, 0.000396728515625), (8.626174926757812, -8.626136779785156, 0.000396728515625), (5.54327392578125, -2.2960739135742188, 0.000396728515625), (2.2960891723632812, 5.543304443359375, 0.000396728515625), (-5.884712219238281, -1.1705169677734375, 0.000396728515625), (13.488861083984375, 16.000022888183594, 0.000396728515625), (16.000015258789062, 13.488868713378906, 0.000396728515625), (13.488861083984375, -15.999977111816406, 0.000396728515625), (16.000015258789062, -13.488815307617188, 0.000396728515625), (-13.48883056640625, -15.999977111816406, 0.000396728515625), (-15.999984741210938, -13.488815307617188, 0.000396728515625), (-13.48883056640625, 16.000022888183594, 0.000396728515625), (-15.999984741210938, 13.488868713378906, 0.000396728515625)]
faces = [[97, 94, 91, 72, 69, 143, 95, 92, 89, 87, 85, 83, 81, 79, 77, 75, 73, 70, 145, 96, 93, 90, 88, 86, 84, 82, 80, 78, 76, 74, 71, 146], [33, 30, 27, 8, 5, 131, 31, 28, 25, 23, 21, 19, 17, 15, 13, 11, 9, 6, 132, 32, 29, 26, 24, 22, 20, 18, 16, 14, 12, 10, 7, 133], [166, 167, 165, 164, 162, 163, 161, 160], [159, 139, 34, 36, 141, 4, 101, 153, 148, 35, 149, 158, 1, 98, 147, 152, 0, 68, 3, 157, 142, 135, 150, 100, 38, 67, 134, 144, 99, 2, 140, 151], [66, 63, 60, 41, 37, 136, 64, 61, 58, 56, 54, 52, 50, 48, 46, 44, 42, 39, 137, 65, 62, 59, 57, 55, 53, 51, 49, 47, 45, 43, 40, 138], [130, 127, 124, 105, 102, 154, 128, 125, 122, 120, 118, 116, 114, 112, 110, 108, 106, 103, 155, 129, 126, 123, 121, 119, 117, 115, 113, 111, 109, 107, 104, 156]]
edges = []

mesh = bpy.data.meshes.new('test_mesh')
mesh.from_pydata(verts, edges, faces)
obj = bpy.data.objects.new('test_obj', mesh)
bpy.data.collections['Defaults'].objects.link(obj)

bpy.context.view_layer.objects.active = obj
bpy.ops.object.mode_set(mode='EDIT')

me = obj.data
bm = bmesh.from_edit_mesh(me)

def get_area(elem):
    return elem.calc_area()
    
faces = []
for face in bm.faces:
    faces.append(face)
faces.sort(key=get_area, reverse=True)

# ?? what bmesh operators to use here to cut small faces out of large face ??

bmesh.update_edit_mesh

*** EDIT FOR TLousky *** enter image description here

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1 Answer 1

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enter image description here

I couldn't find a decent way to implement this entirely using bmesh, so I ended up using bpy.ops.mesh operators as well. Should still be fairly fast even on a higher res mesh with more faces. This is more of an automation approach imitating the steps you would manually take to do this, rather than a 100% mathematical / algorithmic solution, but hey - it works :)

import bpy
import bmesh

verts = [(5.88470458984375, 1.1705703735351562, 0.000396728515625), (3.3334121704101562, 4.9888458251953125, 0.000396728515625), (-4.242645263671875, -4.24261474609375, 0.000396728515625), (5.884712219238281, -1.1705093383789062, 0.000396728515625), (-4.242645263671875, 4.242668151855469, 0.000396728515625), (12.054519653320312, 15.040176391601562, 0.000396728515625), (12.767379760742188, 7.8024444580078125, 0.000396728515625), (8.153594970703125, 13.424354553222656, 0.000396728515625), (11.313179016113281, 15.113189697265625, 0.000396728515625), (13.424346923828125, 8.153602600097656, 0.000396728515625), (7.802436828613281, 12.767387390136719, 0.000396728515625), (14.00018310546875, 8.626182556152344, 0.000396728515625), (7.5861968994140625, 12.054534912109375, 0.000396728515625), (14.472763061523438, 9.2020263671875, 0.000396728515625), (7.51318359375, 11.313186645507812, 0.000396728515625), (14.823921203613281, 9.858993530273438, 0.000396728515625), (7.5861968994140625, 10.571846008300781, 0.000396728515625), (15.0401611328125, 10.571846008300781, 0.000396728515625), (7.802436828613281, 9.858993530273438, 0.000396728515625), (15.113174438476562, 11.313194274902344, 0.000396728515625), (8.153594970703125, 9.2020263671875, 0.000396728515625), (15.0401611328125, 12.054534912109375, 0.000396728515625), (8.626174926757812, 8.626182556152344, 0.000396728515625), (14.823921203613281, 12.767387390136719, 0.000396728515625), (9.202011108398438, 8.153602600097656, 0.000396728515625), (14.472763061523438, 13.424362182617188, 0.000396728515625), (9.858978271484375, 7.8024444580078125, 0.000396728515625), (10.57183837890625, 15.040176391601562, 0.000396728515625), (14.00018310546875, 14.000198364257812, 0.000396728515625), (10.57183837890625, 7.586204528808594, 0.000396728515625), (9.858978271484375, 14.823928833007812, 0.000396728515625), (13.424346923828125, 14.4727783203125, 0.000396728515625), (11.313179016113281, 7.513191223144531, 0.000396728515625), (9.202011108398438, 14.472770690917969, 0.000396728515625), (-5.884712219238281, 1.1705703735351562, 0.000396728515625), (-3.814697265625e-06, 6.000022888183594, 0.000396728515625), (-5.543281555175781, 2.2961273193359375, 0.000396728515625), (-10.57180404663086, 15.040168762207031, 0.000396728515625), (1.1705398559570312, -5.8846893310546875, 0.000396728515625), (-9.858940124511719, 7.8024444580078125, 0.000396728515625), (-14.472724914550781, 13.424354553222656, 0.000396728515625), (-11.313140869140625, 15.113182067871094, 0.000396728515625), (-9.201972961425781, 8.153602600097656, 0.000396728515625), (-14.823883056640625, 12.767379760742188, 0.000396728515625), (-8.62613296508789, 8.626182556152344, 0.000396728515625), (-15.04012680053711, 12.054527282714844, 0.000396728515625), (-8.153556823730469, 9.202018737792969, 0.000396728515625), (-15.113143920898438, 11.313186645507812, 0.000396728515625), (-7.802398681640625, 9.858993530273438, 0.000396728515625), (-15.04012680053711, 10.57183837890625, 0.000396728515625), (-7.586158752441406, 10.571846008300781, 0.000396728515625), (-14.823883056640625, 9.858985900878906, 0.000396728515625), (-7.513141632080078, 11.313186645507812, 0.000396728515625), (-14.472724914550781, 9.202018737792969, 0.000396728515625), (-7.586158752441406, 12.054534912109375, 0.000396728515625), (-14.000144958496094, 8.626174926757812, 0.000396728515625), (-7.802398681640625, 12.767387390136719, 0.000396728515625), (-13.424308776855469, 8.153602600097656, 0.000396728515625), (-8.153556823730469, 13.424354553222656, 0.000396728515625), (-12.767337799072266, 7.8024444580078125, 0.000396728515625), (-12.054485321044922, 15.040168762207031, 0.000396728515625), (-8.626136779785156, 14.000190734863281, 0.000396728515625), (-12.054481506347656, 7.586204528808594, 0.000396728515625), (-12.767337799072266, 14.823928833007812, 0.000396728515625), (-9.201980590820312, 14.472770690917969, 0.000396728515625), (-11.313140869140625, 7.51318359375, 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faces = [[97, 94, 91, 72, 69, 143, 95, 92, 89, 87, 85, 83, 81, 79, 77, 75, 73, 70, 145, 96, 93, 90, 88, 86, 84, 82, 80, 78, 76, 74, 71, 146], [33, 30, 27, 8, 5, 131, 31, 28, 25, 23, 21, 19, 17, 15, 13, 11, 9, 6, 132, 32, 29, 26, 24, 22, 20, 18, 16, 14, 12, 10, 7, 133], [166, 167, 165, 164, 162, 163, 161, 160], [159, 139, 34, 36, 141, 4, 101, 153, 148, 35, 149, 158, 1, 98, 147, 152, 0, 68, 3, 157, 142, 135, 150, 100, 38, 67, 134, 144, 99, 2, 140, 151], [66, 63, 60, 41, 37, 136, 64, 61, 58, 56, 54, 52, 50, 48, 46, 44, 42, 39, 137, 65, 62, 59, 57, 55, 53, 51, 49, 47, 45, 43, 40, 138], [130, 127, 124, 105, 102, 154, 128, 125, 122, 120, 118, 116, 114, 112, 110, 108, 106, 103, 155, 129, 126, 123, 121, 119, 117, 115, 113, 111, 109, 107, 104, 156]]
edges = []

mesh = bpy.data.meshes.new('test_mesh')
mesh.from_pydata(verts, edges, faces)
obj = bpy.data.objects.new('test_obj', mesh)
bpy.context.collection.objects.link(obj)

bpy.context.view_layer.objects.active = obj
bpy.ops.object.mode_set(mode='EDIT')

me = obj.data
bm = bmesh.from_edit_mesh(me)

faces = sorted(bm.faces, key = lambda f: f.calc_area(), reverse=True )

# Deselect large face and select hole-faces
faces[0].select = False
for f in faces[1:]:
    f.select = True

bm.select_flush(False)

# Translate selected faces slightly above, extrude and select linked
bmesh.ops.translate( 
    bm, 
    verts = [ v for f in faces[1:] for v in f.verts ],
    vec   = (0.0, 0.0, 1)
)

bmesh.update_edit_mesh(me)
bpy.ops.mesh.extrude_faces_move(
    MESH_OT_extrude_faces_indiv = {"mirror":False}, 
    TRANSFORM_OT_shrink_fatten  = {"value":2}
)

# Expand selection to include extruded faces
bpy.ops.mesh.select_more()

# Perform boolean intersection to cut new geometry from main face
bpy.ops.mesh.intersect_boolean()
Improve this answer
$\endgroup$
2
  • 1
    $\begingroup$ Unfortunately this didn't seem to work in the main script. (See the video I added to my question) I could probably figure out why, but the real problem is it increases the time per 'MOUSEMOVE' by a factor of 20-40... Not so bad on that one part but horrible for something with 10 or more parts 😔 But I'm giving it a up-vote because I did learn some things from your answer, so thanks $\endgroup$
    – Psyonic
    Sep 1, 2022 at 8:51
  • 1
    $\begingroup$ For completeness, I have since found the solution to my problem, which is not really related to the question.... Using bmesh.ops.triangle_fill using the edges collected from the bmesh.ops.bisect_plane method I'm using has solved this for me. Wish I had of known what to ask originally $\endgroup$
    – Psyonic
    Sep 1, 2022 at 10:39

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