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try:
from . import generic as g
except BaseException:
import generic as g
class VoxelGridTest(g.unittest.TestCase):
def test_voxel(self):
"""
Test that voxels work at all
"""
for m in [
g.get_mesh("featuretype.STL"),
g.trimesh.primitives.Box(),
g.trimesh.primitives.Sphere(),
]:
for pitch in [0.1, 0.1 - g.tol.merge]:
surface = m.voxelized(pitch=pitch)
# make sure the voxelized pitch is similar to passed
assert g.np.allclose(surface.pitch, pitch)
for fill_method in ("base", "orthographic"):
solid = surface.copy().fill(method=fill_method)
assert len(surface.encoding.dense.shape) == 3
assert surface.shape == surface.encoding.dense.shape
assert surface.volume > 0.0
assert isinstance(surface.filled_count, int)
assert surface.filled_count > 0
box_surface = surface.as_boxes()
box_solid = solid.as_boxes()
assert isinstance(box_surface, g.trimesh.Trimesh)
assert abs(box_solid.volume - solid.volume) < g.tol.merge
assert g.trimesh.util.is_shape(surface.sparse_indices, (-1, 3))
assert len(solid.sparse_indices) >= len(surface.sparse_indices)
assert solid.sparse_indices.shape == solid.points.shape
outside = m.bounds[1] + m.scale
for vox in surface, solid:
assert vox.sparse_indices.shape == vox.points.shape
assert g.np.all(vox.is_filled(vox.points))
assert not vox.is_filled(outside)
try:
cubes = surface.marching_cubes
assert cubes.area > 0.0
except ImportError:
g.log.info("no skimage, skipping marching cubes test")
g.log.info(
"Mesh volume was %f, voxelized volume was %f",
m.volume,
surface.volume,
)
def test_marching(self):
"""
Test marching cubes on a matrix
"""
try:
from skimage import measure # NOQA
except ImportError:
g.log.warning("no skimage, skipping marching cubes test")
return
# make sure offset is correct
matrix = g.np.ones((3, 3, 3), dtype=bool)
mesh = g.trimesh.voxel.ops.matrix_to_marching_cubes(matrix=matrix)
assert mesh.is_watertight
mesh = g.trimesh.voxel.ops.matrix_to_marching_cubes(matrix=matrix).apply_scale(
3.0
)
assert mesh.is_watertight
def test_marching_points(self):
"""
Try marching cubes on points
"""
try:
from skimage import measure # NOQA
except ImportError:
g.log.warning("no skimage, skipping marching cubes test")
return
# get some points on the surface of an icosahedron
points = g.trimesh.creation.icosahedron().sample(1000)
# make the pitch proportional to scale
pitch = g.np.ptp(points, axis=0).min() / 10
# run marching cubes
mesh = g.trimesh.voxel.ops.points_to_marching_cubes(points=points, pitch=pitch)
# mesh should have faces
assert len(mesh.faces) > 0
# mesh should be roughly centered
assert (mesh.bounds[0] < -0.5).all()
assert (mesh.bounds[1] > 0.5).all()
def test_local(self):
"""
Try calling local voxel functions
"""
from trimesh.voxel import creation
mesh = g.trimesh.creation.box()
# it should have some stuff
voxel = creation.local_voxelize(
mesh=mesh, point=[0.5, 0.5, 0.5], pitch=0.1, radius=5, fill=True
)
assert len(voxel.shape) == 3
# try it when it definitely doesn't hit anything
empty = creation.local_voxelize(
mesh=mesh, point=[10, 10, 10], pitch=0.1, radius=5, fill=True
)
# shouldn't have hit anything
assert empty is None
# try it when it is in the center of a volume
creation.local_voxelize(
mesh=mesh, point=[0, 0, 0], pitch=0.1, radius=2, fill=True
)
def test_points_to_from_indices(self):
# indices = (points - origin) / pitch
points = [[0, 0, 0], [0.04, 0.55, 0.39]]
origin = [0, 0, 0]
pitch = 0.1
indices = [[0, 0, 0], [0, 6, 4]]
# points -> indices
indices2 = g.trimesh.voxel.ops.points_to_indices(
points=points, origin=origin, pitch=pitch
)
g.np.testing.assert_allclose(indices, indices2, atol=0, rtol=0)
# indices -> points
points2 = g.trimesh.voxel.ops.indices_to_points(
indices=indices, origin=origin, pitch=pitch
)
g.np.testing.assert_allclose(
g.np.array(indices) * pitch + origin, points2, atol=0, rtol=0
)
g.np.testing.assert_allclose(points, points2, atol=pitch / 2 * 1.01, rtol=0)
# indices -> points -> indices (this must be consistent)
points2 = g.trimesh.voxel.ops.indices_to_points(
indices=indices, origin=origin, pitch=pitch
)
indices2 = g.trimesh.voxel.ops.points_to_indices(
points=points2, origin=origin, pitch=pitch
)
g.np.testing.assert_allclose(indices, indices2, atol=0, rtol=0)
def test_as_boxes(self):
voxel = g.trimesh.voxel
pitch = 0.1
origin = [0, 0, 1]
matrix = g.np.eye(9, dtype=bool).reshape((-1, 3, 3))
centers = g.trimesh.voxel.ops.matrix_to_points(
matrix=matrix, pitch=pitch, origin=origin
)
v = voxel.VoxelGrid(matrix).apply_scale(pitch).apply_translation(origin)
boxes1 = v.as_boxes()
boxes2 = g.trimesh.voxel.ops.multibox(centers).apply_scale(pitch)
colors = [g.trimesh.visual.DEFAULT_COLOR] * matrix.sum() * 12
for boxes in [boxes1, boxes2]:
g.np.testing.assert_allclose(boxes.visual.face_colors, colors, atol=0, rtol=0)
# check assigning a single color
color = [255, 0, 0, 255]
boxes1 = v.as_boxes(colors=color)
boxes2 = g.trimesh.voxel.ops.multibox(centers=centers, colors=color).apply_scale(
pitch
)
colors = g.np.array([color] * len(centers) * 12)
for boxes in [boxes1, boxes2]:
g.np.testing.assert_allclose(boxes.visual.face_colors, colors, atol=0, rtol=0)
# check matrix colors
colors = color * g.np.ones(g.np.append(v.shape, 4), dtype=g.np.uint8)
boxes = v.as_boxes(colors=colors)
assert g.np.allclose(boxes.visual.face_colors, color, atol=0, rtol=0)
def test_is_filled(self):
"""More rigorous test of VoxelGrid.is_filled."""
n = 10
matrix = g.np.random.uniform(size=(n + 1,) * 3) > 0.5
not_matrix = g.np.logical_not(matrix)
pitch = 1.0 / n
origin = g.np.random.uniform(size=(3,))
vox = g.trimesh.voxel.VoxelGrid(matrix)
vox = vox.apply_scale(pitch).apply_translation(origin)
not_vox = g.trimesh.voxel.VoxelGrid(not_matrix)
not_vox = not_vox.apply_scale(pitch).apply_translation(origin)
for a, b in ((vox, not_vox), (not_vox, vox)):
points = a.points
# slight jitter - shouldn't change indices
points += (g.np.random.uniform(size=points.shape) - 1) * 0.4 * pitch
g.np.random.shuffle(points)
# all points are filled, and no empty points are filled
assert g.np.all(a.is_filled(points))
assert not g.np.any(b.is_filled(points))
# test different number of dimensions
points = g.np.stack([points, points[-1::-1]], axis=1)
assert g.np.all(a.is_filled(points))
assert not g.np.any(b.is_filled(points))
def test_vox_sphere(self):
# should be filled from 0-9
matrix = g.np.ones((10, 10, 10))
scale = 0.1
vox = g.trimesh.voxel.VoxelGrid(matrix).apply_scale(scale)
# epsilon from zero
eps = 1e-4
# should all be contained
grid = g.trimesh.util.grid_linspace([[eps] * 3, [9 - eps] * 3], 11) * scale
assert vox.is_filled(grid).all()
# push it outside the filled area
grid += 1.0
assert not vox.is_filled(grid).any()
def test_roundtrip(self):
# try exporting and reloading in the "binvox" format
m = g.trimesh.creation.box()
v = m.voxelized(pitch=0.1)
e = v.export(file_type="binvox")
r = g.trimesh.load(file_obj=g.trimesh.util.wrap_as_stream(e), file_type="binvox")
assert v.filled_count == r.filled_count
assert g.np.allclose(r.bounds, v.bounds)
def _test_equiv(self, v0, v1, query_points=None):
"""
Test whether or not two `VoxelGrid` representation
are consistent.
Tests consistency of:
shape
filled_count
volume
matrix
points
origin
pitch
If query_points is provided, also tests
is_filled
points_to_indices
indices_to_points
Parameters
----------
v0: `VoxelGrid` instance
v1: `VoxelGrid` instance
query_points: (optional) points as which `points_to_indices` and
`is_filled` are tested for consistency.
"""
def array_as_set(array2d):
return {tuple(x) for x in array2d}
# all points are filled
assert g.np.all(v0.is_filled(v1.points))
assert g.np.any(v1.is_filled(v0.points))
# test different number of dimensions
self.assertEqual(v0.shape, v1.shape)
self.assertEqual(v0.filled_count, v1.filled_count)
self.assertEqual(v0.volume, v1.volume)
g.np.testing.assert_equal(v0.encoding.dense, v1.encoding.dense)
# points will be in different order, but should contain same coords
g.np.testing.assert_equal(array_as_set(v0.points), array_as_set(v1.points))
# g.np.testing.assert_equal(v0.origin, v1.origin)
# g.np.testing.assert_equal(v0.pitch, v1.pitch)
if query_points is not None:
indices0 = v0.points_to_indices(query_points)
indices1 = v1.points_to_indices(query_points)
g.np.testing.assert_equal(indices0, indices1)
g.np.testing.assert_allclose(
v0.points_to_indices(v0.indices_to_points(indices0)), indices0
)
g.np.testing.assert_allclose(
v1.points_to_indices(v1.indices_to_points(indices1)), indices1
)
g.np.testing.assert_equal(
v0.is_filled(query_points), v1.is_filled(query_points)
)
def test_voxel_rle(self):
from trimesh.voxel import encoding as enc
np = g.np
voxel = g.trimesh.voxel
shape = (4, 4, 4)
rle_obj = enc.RunLengthEncoding(
np.array([0, 8, 1, 40, 0, 16], dtype=np.uint8), dtype=bool
)
brle_obj = enc.BinaryRunLengthEncoding(np.array([8, 40, 16], dtype=np.uint8))
v_rle = voxel.VoxelGrid(rle_obj.reshape(shape))
self.assertEqual(v_rle.filled_count, 40)
g.np.testing.assert_equal(
v_rle.encoding.dense, g.np.reshape([0] * 8 + [1] * 40 + [0] * 16, shape)
)
v_brle = voxel.VoxelGrid(brle_obj.reshape(shape))
query_points = g.np.random.uniform(size=(100, 3), high=4)
self._test_equiv(v_rle, v_brle, query_points)
def test_hollow(self):
if not g.has_binvox:
g.log.warning("no binvox to test!")
return
filled = g.trimesh.primitives.Sphere().voxelized(
pitch=0.1, method="binvox", exact=True
)
hollow = filled.copy().hollow()
self.assertLess(hollow.filled_count, filled.filled_count)
self.assertGreater(hollow.filled_count, 0)
def test_fill(self):
from trimesh.voxel.morphology import fillers
hollow = g.trimesh.primitives.Sphere().voxelized(pitch=0.1).hollow()
for key in fillers:
filled = hollow.copy().fill(key)
self.assertLess(hollow.filled_count, filled.filled_count)
def test_strip(self):
if not g.has_binvox:
g.log.warning("no binvox to test!")
return
octant = g.trimesh.primitives.Sphere().voxelized(
pitch=0.1, method="binvox", exact=True
)
dense = octant.encoding.dense.copy()
nx, ny, nz = octant.shape
dense[: nx // 2] = 0
dense[:, : ny // 2] = 0
dense[:, :, nz // 2 :] = 0
octant.encoding = dense
stripped = octant.copy().strip()
self.assertEqual(octant.filled_count, stripped.filled_count)
self.assertEqual(octant.volume, stripped.volume)
g.np.testing.assert_allclose(octant.points, stripped.points)
self.assertGreater(octant.encoding.size, stripped.encoding.size)
def test_binvox_with_dimension(self):
if not g.has_binvox:
g.log.warning("no binvox to test!")
return
dim = 10
octant = g.trimesh.primitives.Sphere().voxelized(
pitch=None, dimension=dim, method="binvox", exact=True
)
assert octant.shape == (dim, dim, dim)
def test_transform_cache(self):
encoding = [
[[0, 0, 0], [0, 1, 0], [0, 0, 0]],
[[0, 1, 1], [0, 1, 0], [1, 1, 0]],
[[0, 0, 0], [0, 1, 0], [0, 0, 0]],
]
vg = g.trimesh.voxel.VoxelGrid(g.np.asarray(encoding))
scale = g.np.asarray([12, 23, 24])
s_matrix = g.np.eye(4)
s_matrix[:3, :3] *= scale
# original scale should be identity
assert g.np.allclose(vg.scale, 1.0)
# save the hash
hash_ori = hash(vg._data)
# modify the voxelgrid
vg.apply_transform(s_matrix)
# hash should have changed
assert hash_ori != hash(vg._data)
assert g.np.allclose(vg.scale, scale)
if __name__ == "__main__":
g.trimesh.util.attach_to_log()
g.unittest.main()
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