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# Copyright (c) 2020-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | |
# | |
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual | |
# property and proprietary rights in and to this material, related | |
# documentation and any modifications thereto. Any use, reproduction, | |
# disclosure or distribution of this material and related documentation | |
# without an express license agreement from NVIDIA CORPORATION or | |
# its affiliates is strictly prohibited. | |
import os | |
import numpy as np | |
""" | |
This code segment shows how to use Quartet: https://github.com/crawforddoran/quartet, | |
to generate a tet grid | |
1) Download, compile and run Quartet as described in the link above. Example usage `quartet meshes/cube.obj 0.5 cube_5.tet` | |
2) Run the function below to generate a file `cube_32_tet.tet` | |
""" | |
def generate_tetrahedron_grid_file(res=32, root=".."): | |
frac = 1.0 / res | |
command = f"cd {root}; ./quartet meshes/cube.obj {frac} meshes/cube_{res}_tet.tet -s meshes/cube_boundary_{res}.obj" | |
os.system(command) | |
""" | |
This code segment shows how to convert from a quartet .tet file to compressed npz file | |
""" | |
def convert_from_quartet_to_npz(quartetfile="cube_32_tet.tet", npzfile="32_tets"): | |
file1 = open(quartetfile, "r") | |
header = file1.readline() | |
numvertices = int(header.split(" ")[1]) | |
numtets = int(header.split(" ")[2]) | |
print(numvertices, numtets) | |
# load vertices | |
vertices = np.loadtxt(quartetfile, skiprows=1, max_rows=numvertices) | |
print(vertices.shape) | |
# load indices | |
indices = np.loadtxt( | |
quartetfile, dtype=int, skiprows=1 + numvertices, max_rows=numtets | |
) | |
print(indices.shape) | |
np.savez_compressed(npzfile, vertices=vertices, indices=indices) | |
root = "/home/gyc/quartet" | |
for res in [300, 350, 400]: | |
generate_tetrahedron_grid_file(res, root) | |
convert_from_quartet_to_npz( | |
os.path.join(root, f"meshes/cube_{res}_tet.tet"), npzfile=f"{res}_tets" | |
) | |