74 lines
1.5 KiB
Python
74 lines
1.5 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Created on Tue Jun 20 14:53:48 2023
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converts numpy array to openvdb
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run within blender to use pyopenvdb, it would eventually be nice to use pyopenvdb outside blender to have the conversion in one go
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@author: fische_r
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"""
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import os
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import numpy as np
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import pyopenvdb as openvdb
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toppath = '/mpc/homes/fische_r/NAS/DASCOELY/processing/04_membrane_ML/3II/crack_npy'
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topoutpath = '/mpc/homes/fische_r/NAS/DASCOELY/processing/04_membrane_ML/3II/crack_vdb'
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if not os.path.exists(topoutpath):
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os.mkdir(topoutpath)
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x1 = 0
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x2 = -1
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y1 = 0
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y2 = -1
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z1 = 0
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z2 = -1
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ts = -1
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# ts = 40
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#modified crops, comment out
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x1 = 10
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x2 = -10
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y1 = 10
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y2 = -10
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z1 = 10
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z2 = -10
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def check_npy_folder(toppath):
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files = []
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for file in os.listdir(toppath):
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if file[-3:] == 'npy':
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files.append(file)
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return files
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def convert_npy_to_vdb(file, toppath, topoutpath, x1,x2,y1,y2,z1,z2):
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im = np.load(os.path.join(toppath,file))
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im = im[x1:x2,y1:y2,z1:z2]
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im = im*1.0
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grid = openvdb.FloatGrid()
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grid.copyFromArray(im.astype(float))
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grid.gridClass = openvdb.GridClass.STAGGERED
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grid.name = 'density'
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openvdb.write(os.path.join(topoutpath, file[:-3]+'vdb'), grid)
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files = check_npy_folder(toppath)
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files.sort()
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if ts <0:
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for i in range(len(files)):
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convert_npy_to_vdb(files[i], toppath, topoutpath, x1, x2, y1, y2, z1, z2)
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else:
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file = files[ts]
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print(file)
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convert_npy_to_vdb(file, toppath, topoutpath, x1,x2,y1,y2,z1,z2)
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