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stl2vol.py
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#!/usr/bin/env python3
import sys
sys.setrecursionlimit(100000000)
import numpy as np
from mesh_vox import read_and_reshape_stl, voxelize
import math
from mayavi import mlab
import scipy.interpolate as itp
import numpy as np
#三维插值函数
def int3dog(U,n):
x,y,z=U.shape
xdog=int(x*n)
ydog=int(y*n)
zdog=int(z*n)
xdimg=np.linspace(0,x-1,x)
ydimg=np.linspace(0,y-1,y)
zdimg=np.linspace(0,z-1,z)
d,e,f=np.mgrid[0:x-1:xdog*1j,1:y-1:ydog*1j,1:z-1:zdog*1j]
Vi = itp.RegularGridInterpolator((xdimg,ydimg,zdimg),U,method='nearest')
pudog=Vi(np.array([d,e,f]).T)
return pudog
def stltrdog(stlpath,resolution):
mesh, bounding_box = read_and_reshape_stl(stlpath, resolution)
voxels, bounding_box = voxelize(mesh, bounding_box)
resdog=voxels.transpose((2,1,0))
return resdog
pass
def showdog(sdog):
pug=np.zeros_like(sdog,dtype='float32')
for idog in range(0,np.shape(sdog)[0]):
for jdog in range(0,np.shape(sdog)[1]):
for kdog in range(0,np.shape(sdog)[2]):
if sdog[idog,jdog,kdog]==True:
# print("OK")
pug[idog,jdog,kdog]=1
pass
else:
pug[idog,jdog,kdog]=0
pass
# mlab.imshow(pug[:,:,20])
#
fileddog=mlab.pipeline.scalar_field(pug)
mlab.pipeline.volume(fileddog,vmin=0,vmax=3)
mlab.colorbar()
mlab.show()
pass
def devidedog(sdog):
pug=np.zeros_like(sdog,dtype='float32')
a=np.where(sdog==True)
numdog=1
while np.where(sdog==True)[0].shape[0]!=0:
cut=[np.where(sdog==True)[0][0],np.where(sdog==True)[1][0],np.where(sdog==True)[2][0]]
diguidog2(sdog,pug,cut[0],cut[1],cut[2],numdog)
numdog=numdog+1
# print(numdog)
pass
return pug,numdog
pass
def diguidog(acat,bcat,idog,jdog,kdog,intdog):
if idog>=1 and idog<=(acat.shape[0]-2) and jdog>=1 and jdog<=(acat.shape[1]-2) and kdog>=1 and kdog<=(acat.shape[2]-2):
if acat[idog,jdog,kdog]==True:
bcat[idog,jdog,kdog]=intdog
acat[idog,jdog,kdog]=False
# print(idog,jdog,kdog)
if acat[idog+1,jdog,kdog]==True:
diguidog(acat,bcat,idog+1,jdog,kdog,intdog)
if acat[idog-1,jdog,kdog]==True:
diguidog(acat,bcat,idog-1,jdog,kdog,intdog)
if acat[idog,jdog+1,kdog]==True:
diguidog(acat,bcat,idog,jdog+1,kdog,intdog)
if acat[idog,jdog-1,kdog]==True:
diguidog(acat,bcat,idog,jdog-1,kdog,intdog)
if acat[idog,jdog,kdog+1]==True:
diguidog(acat,bcat,idog,jdog,kdog+1,intdog)
if acat[idog,jdog,kdog-1]==True:
diguidog(acat,bcat,idog,jdog,kdog-1,intdog)
pass
else:
# print('end')
pass
else:
# print("out")
pass
return 0
pass
def diguidog2(acat,bcat,idog,jdog,kdog,intdog):
pflodog=acat[idog,jdog,kdog]
if pflodog==True:
# flagdog=6
pass
else:
# flagdog=0
pass
hu=[[idog,jdog,kdog]]
du=[]
num=1
while hu!=[]:
# flagdog=6
for ludog in hu:
bcat[ludog[0],ludog[1],ludog[2]]=intdog
acat[ludog[0],ludog[1],ludog[2]]=False
if acat[ludog[0]+1,ludog[1],ludog[2]]==True and ludog[0]+1<=(acat.shape[0]-2):
if [ludog[0]+1,ludog[1],ludog[2]] in du:
# print('重复')
pass
else:
du.append([ludog[0]+1,ludog[1],ludog[2]])
pass
pass
else:
# flagdog=flagdog-1
pass
if acat[ludog[0],ludog[1]+1,ludog[2]]==True and ludog[1]+1<=(acat.shape[1]-2):
if [ludog[0],ludog[1]+1,ludog[2]] in du:
pass
else:
du.append([ludog[0],ludog[1]+1,ludog[2]])
pass
pass
else:
# flagdog=flagdog-1
pass
if acat[ludog[0],ludog[1],ludog[2]+1]==True and (ludog[2]+1)<=(acat.shape[2]-2) and not ([ludog[0],ludog[1],ludog[2]+1] in du):
du.append([ludog[0],ludog[1],ludog[2]+1])
pass
else:
# flagdog=flagdog-1
pass
if acat[ludog[0]-1,ludog[1],ludog[2]]==True and ludog[0]-1>=(0)and not([ludog[0]-1,ludog[1],ludog[2]] in du):
du.append([ludog[0]-1,ludog[1],ludog[2]] )
pass
else:
# flagdog=flagdog-1
pass
if acat[ludog[0],ludog[1]-1,ludog[2]]==True and ludog[1]-1>=(0) and not([ludog[0],ludog[1]-1,ludog[2]] in du):
du.append([ludog[0],ludog[1]-1,ludog[2]] )
pass
else:
# flagdog=flagdog-1
pass
if acat[ludog[0],ludog[1],ludog[2]-1]==True and ludog[2]-1>=(0) and not([ludog[0],ludog[1],ludog[2]-1] in du):
du.append([ludog[0],ludog[1],ludog[2]-1])
pass
else:
# flagdog=flagdog-1
pass
pass
hu=du
du=[]
print(hu.__len__())
num=num+1
pass
pass
pass
def puttdog(sfdog):
mlab.clf()
cutdog,numpug=devidedog(sfdog)
fileddog=mlab.pipeline.scalar_field(cutdog)
mlab.pipeline.volume(fileddog,vmin=0,vmax=numpug-1)
mlab.colorbar()
# mlab.show()
pass
class StlDog(object):
def __init__(self,Dogname,rse):
self.Dogfile=Dogname
self.DogRes=rse
self.OutDog=stltrdog(self.Dogfile,self.DogRes)
self.cutdog,self.numpug=devidedog(self.OutDog)
# self.ppp=self.cutdog
def DogPlot(self):
# puttdog(self.OutDog)
mlab.clf()
fileddog=mlab.pipeline.scalar_field(self.cutdog)
mlab.pipeline.volume(fileddog,vmin=0,vmax=self.numpug-1)
mlab.colorbar()
pass
pass
# dog=stltrdog('cat3.stl',800)
# puttdog(dog)