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ellipsoidfit.py
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ellipsoidfit.py
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# ##### BEGIN GPL LICENSE BLOCK #####
#
# EllipsoidFit, (c) 2017 Michel Anders (varkenvarken)
#
# 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 #####
bl_info = {
"name": "EllipsoidFit",
"author": "Michel Anders (varkenvarken)",
"version": (0, 0, 201712201500),
"blender": (2, 79, 0),
"location": "Edit mode 3d-view, Add-->EllipsoidFit",
"description": "Add a single ellipsoid metaball that best fits a collection of selected vertices",
"warning": "",
"wiki_url": "",
"category": "Mesh",
}
import numpy as np
from math import pi,sin,cos,radians as rad
circle = np.array([[cos(rad(phi)),sin(rad(phi)),0] for phi in [30 * i for i in range(12)]])
sphere = np.empty((9,12,3))
for i in range(9):
z = sin(0.9*pi*0.5*((i-4)/4))
s = cos(0.9*pi*0.5*((i-4)/4))
sphere[i] = (circle*s + [0,0,z])
sphere.shape = -1,3
quads = []
for i in range(8):
for j in range(12):
p0 = i*12 + j
p1 = i*12 + (j+1)%12
p2 = p1 + 12
p3 = p0 + 12
quads.append( (p0, p1, p2 , p3) )
def Fit(points):
ctr = points.mean(axis=0)
x = points - ctr
M = np.cov(x.T)
eigenvalues,eigenvectors = np.linalg.eig(M)
order = eigenvalues.argsort()[::-1] # largest to smallest
print(x)
print(eigenvalues)
print(order)
print(eigenvectors)
return ctr, eigenvalues[order], eigenvectors[order]
import bpy
from mathutils import Matrix
class EllipsoidFit(bpy.types.Operator):
bl_idname = 'mesh.ellipsoidfit'
bl_label = 'EllipsoidFit'
bl_options = {'REGISTER', 'UNDO'}
size = bpy.props.FloatProperty(name="Size", description="Radius of the metaball", default=1, min=0, soft_max=10)
@classmethod
def poll(self, context):
return (context.mode == 'EDIT_MESH' and context.active_object.type == 'MESH')
def execute(self, context):
bpy.ops.object.editmode_toggle()
me = context.active_object.data
count = len(me.vertices)
if count > 0: # degenerate mesh, but better safe than sorry
shape = (count, 3)
verts = np.empty(count*3, dtype=np.float32)
selected = np.empty(count, dtype=np.bool)
me.vertices.foreach_get('co', verts)
me.vertices.foreach_get('select', selected)
verts.shape = shape
if np.count_nonzero(selected) >= 3 :
ctr, sizes, directions = Fit(verts[selected])
rot = np.linalg.inv(directions)
verts = sphere * (sizes * self.size)
verts = (verts @ rot) + ctr
# can't use mesh.from_pydata here because that won't let us ADD to a mesh
me.vertices.add(len(verts))
for i in range(len(verts)):
me.vertices[count+i].co = verts[i]
lcount = len(me.loops)
me.loops.add(4*len(quads))
pcount = len(me.polygons)
me.polygons.add(len(quads))
for i in range(len(quads)):
me.polygons[pcount+i].loop_total = 4
me.polygons[pcount+i].loop_start = lcount + i * 4
me.polygons[pcount+i].vertices = [count+quads[i][0],count+quads[i][1],count+quads[i][2],count+quads[i][3]]
me.update(calc_edges=True)
else:
self.report({'WARNING'}, "Need at least 3 selected vertices to fit an ellipsoid")
bpy.ops.object.editmode_toggle()
return {'FINISHED'}
def menu_func(self, context):
self.layout.operator(EllipsoidFit.bl_idname, text="Fit metaball to selected",
icon='PLUGIN')
def register():
bpy.utils.register_module(__name__)
bpy.types.INFO_MT_mesh_add.append(menu_func)
def unregister():
bpy.types.INFO_MT_mesh_add.remove(menu_func)
bpy.utils.unregister_module(__name__)
if __name__ == "__main__":
register()