Add mesh conversion utilities.

PiperOrigin-RevId: 573343028
Change-Id: I4b258f91a11d1994659b0129de5ddb2077689f01
This commit is contained in:
Kevin Zakka
2023-10-13 16:12:36 -07:00
committed by Copybara-Service
parent efdc89e347
commit e90b347cbf
6 changed files with 210 additions and 0 deletions
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# Copyright 2023 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""CLI for converting legacy MSH files to Wavefront OBJ files.
Usage:
python -m mujoco.msh2obj -i <msh_file> -o <obj_file>
"""
import argparse
import dataclasses
import io
import pathlib
import numpy as np
@dataclasses.dataclass(frozen=True)
class Msh:
"""MuJoCo legacy binary msh file."""
vertex_positions: np.ndarray
vertex_normals: np.ndarray
vertex_texcoords: np.ndarray
face_vertex_indices: np.ndarray
@staticmethod
def create(file: pathlib.Path) -> "Msh":
"""Create a Msh object from a .msh file."""
if not file.exists():
raise FileNotFoundError(f"{file} does not exist.")
with open(file, "rb") as f:
nvertex = np.fromfile(f, dtype=np.int32, count=1)[0]
nnormal = np.fromfile(f, dtype=np.int32, count=1)[0]
ntexcoord = np.fromfile(f, dtype=np.int32, count=1)[0]
nface = np.fromfile(f, dtype=np.int32, count=1)[0]
vertex_positions = np.fromfile(f, dtype=np.float32, count=3 * nvertex)
vertex_normals = np.fromfile(f, dtype=np.float32, count=3 * nnormal)
vertex_texcoords = np.fromfile(f, dtype=np.float32, count=2 * ntexcoord)
face_vertex_indices = np.fromfile(f, dtype=np.int32, count=3 * nface)
if vertex_positions.size != 3 * nvertex:
raise ValueError(
f"Invalid number of vertices: {vertex_positions.size} != 3*{nvertex}."
)
if vertex_normals.size != 3 * nnormal:
raise ValueError(
f"Invalid number of normals: {vertex_normals.size} != 3*{nnormal}."
)
if vertex_texcoords.size != 2 * ntexcoord:
raise ValueError(
f"Invalid number of texcoords: {vertex_texcoords.size} != "
"2*{ntexcoord}."
)
if face_vertex_indices.size != 3 * nface:
raise ValueError(
f"Invalid number of faces: {face_vertex_indices.size} != 3*{nface}."
)
vertex_positions = vertex_positions.reshape(-1, 3)
vertex_normals = vertex_normals.reshape(-1, 3)
face_vertex_indices = face_vertex_indices.reshape(-1, 3)
# Undo vertical flip done by MuJoCo's OBJ loader.
vertex_texcoords = vertex_texcoords.reshape(-1, 2)
vertex_texcoords[:, 1] = 1 - vertex_texcoords[:, 1]
return Msh(
vertex_positions=vertex_positions,
vertex_normals=vertex_normals,
vertex_texcoords=vertex_texcoords,
face_vertex_indices=face_vertex_indices,
)
def msh_to_obj(msh_file: pathlib.Path) -> str:
"""Convert a legacy .msh file to the .obj format."""
msh = Msh.create(msh_file)
out = io.StringIO()
for x, y, z in msh.vertex_positions:
out.write(f"v {x} {y} {z}\n")
for x, y, z in msh.vertex_normals:
out.write(f"vn {x} {y} {z}\n")
for u, v in msh.vertex_texcoords:
out.write(f"vt {u} {v}\n")
for i, j, k in msh.face_vertex_indices:
out.write(f"f {i+1}/{i+1}/{i+1} {j+1}/{j+1}/{j+1} {k+1}/{k+1}/{k+1}\n")
return out.getvalue()
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("-i", "--input", type=str, help="Path to the msh file.")
parser.add_argument("-o", "--output", type=str, help="Path to the obj file.")
args = parser.parse_args()
with open(pathlib.Path(args.output), "w") as f:
f.write(msh_to_obj(pathlib.Path(args.input)))
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# Copyright 2023 DeepMind Technologies Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for msh2obj.py."""
from absl.testing import absltest
from etils import epath
import mujoco
from mujoco import msh2obj
import numpy as np
_MESH_FIELDS = (
"mesh_vertadr",
"mesh_vertnum",
"mesh_faceadr",
"mesh_facenum",
"mesh_bvhadr",
"mesh_bvhnum",
"mesh_normaladr",
"mesh_normalnum",
"mesh_texcoordadr",
"mesh_texcoordnum",
"mesh_graphadr",
"mesh_vert",
"mesh_normal",
"mesh_face",
"mesh_facenormal",
"mesh_facetexcoord",
"mesh_graph",
"mesh_texcoord",
)
_XML = """
<mujoco>
<asset>
<mesh name="abdomen_1_body" file="abdomen_1_body.obj"/>
</asset>
</mujoco>
"""
class MshTest(absltest.TestCase):
def test_obj_model_matches_msh_model(self) -> None:
test_path = epath.resource_path("mujoco") / "testdata"
msh_xml = test_path / "msh.xml"
msh_model = mujoco.MjModel.from_xml_path(msh_xml.as_posix())
msh_path = test_path / "abdomen_1_body.msh"
obj = msh2obj.msh_to_obj(msh_path)
obj_model = mujoco.MjModel.from_xml_string(
_XML, {"abdomen_1_body.obj": obj.encode()})
for field in _MESH_FIELDS:
np.testing.assert_allclose(
getattr(msh_model, field),
getattr(obj_model, field),
atol=1e-6,
err_msg=f"Field {field} does not match between msh and obj models.",
)
if __name__ == "__main__":
absltest.main()
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<mujoco>
<asset>
<mesh name="abdomen_1_body" file="abdomen_1_body.msh"/>
</asset>
</mujoco>