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try:
from . import generic as g
except BaseException:
import generic as g
def transforms_match(bounds, extents, transforms):
"""
Check to see if transforms match for 3D AABB's.
Parameters
-------------
bounds : (n, 2, 3) float
Axis aligned bounding boxes.
extents : (n, 3) float
Original pre-transform extents
transforms : (n, 4, 4) float
Transform to move `extents` to `bounds`
Returns
-----------
match : bool
Transforms match or not.
"""
assert len(bounds) == len(extents)
assert len(bounds) == len(transforms)
box = g.trimesh.creation.box
for b, t, e in zip(bounds, transforms, extents):
# create a box with the placed bounds
a = box(bounds=b)
# create a box using the roll transform
b = box(extents=e, transform=t)
# they should be identical
if not g.np.allclose(a.bounds, b.bounds):
return False
return True
def _solid_image(color, size):
"""
Return a PIL image that is all one color.
Parameters
------------
color : (4,) uint8
RGBA color
size : (2,) int
Size of solid color image
Returns
-----------
solid : PIL.Image
Image with requested color and size.
"""
from PIL import Image
# convert to RGB uint8
color = g.np.array(color, dtype=g.np.uint8)[:3]
# create a one pixel RGB image
image = Image.fromarray(
g.np.tile(color, (g.np.prod(size), 1)).reshape((size[0], size[1], 3))
)
assert image.size == tuple(size[::-1])
return image
class PackingTest(g.unittest.TestCase):
def test_obb(self):
from trimesh.path import packing
nestable = [g.Polygon(i) for i in g.data["nestable"]]
_inserted, _transforms = packing.polygons(nestable)
def test_image(self):
from trimesh.path import packing
images = [
_solid_image([255, 0, 0, 255], [10, 10]),
_solid_image([0, 255, 0, 255], [120, 12]),
_solid_image([0, 0, 255, 255], [144, 500]),
]
p, offset = packing.images(images, power_resize=False)
# result should not be a power-of-two size
assert not g.np.allclose(g.np.log2(p.size) % 1.0, 0.0)
assert g.np.isfinite(offset).all()
p, offset = packing.images(images, power_resize=True)
assert g.np.allclose(g.np.log2(p.size) % 1.0, 0.0)
assert g.np.isfinite(offset).all()
def test_paths(self):
from trimesh.path import packing
from trimesh.path.polygons import polygon_bounds
polygons = g.np.array([g.Polygon(i) for i in g.data["nestable"]])
# calculate a packing of the polygons
matrix, consume = packing.polygons(polygons)
check_bound = g.np.array(
[polygon_bounds(p, matrix=m) for p, m in zip(polygons[consume], matrix)]
)
assert not packing.bounds_overlap(check_bound)
paths = [g.trimesh.load_path(i) for i in polygons]
with g.Profiler() as P:
r, tf, consume = packing.paths(paths, spacing=0.02)
g.log.debug(P.output_text())
# number of paths inserted
count = consume.sum()
assert tf.shape == (count, 3, 3)
# should have inserted all our paths
assert count == len(paths)
# splitting should result in the right number of paths
split = r.split()
assert count == len(split)
# none of the polygon bounding boxes should overlap
assert not packing.bounds_overlap([i.bounds for i in split])
with g.Profiler() as P:
r, tf, consume = packing.paths(paths, size=[24, 12], spacing=0.5)
g.log.debug(P.output_text())
# number of paths inserted
count = consume.sum()
assert tf.shape == (count, 3, 3)
# splitting should result in the right number of paths
split = r.split()
assert count == len(split)
# none of the polygon bounding boxes should overlap
assert not packing.bounds_overlap([i.bounds for i in split])
# should have adhered to the requested size and spacing
assert (r.extents <= [24, 12]).all()
def test_3D(self):
from trimesh.path import packing
e = g.np.array(
[
[14.0, 14.0, 0.125],
[13.84376457, 13.84376457, 0.25],
[14.0, 14.0, 0.125],
[12.00000057, 12.00000057, 0.25],
[14.0, 14.0, 0.125],
[12.83700787, 12.83700787, 0.375],
[12.83700787, 12.83700787, 0.125],
[14.0, 14.0, 0.625],
[1.9999977, 1.9999509, 0.25],
[0.87481696, 0.87463294, 0.05],
[0.99955503, 0.99911677, 0.1875],
]
)
# try packing these 3D boxes
_bounds, consume = packing.rectangles_single(e)
assert consume.all()
# try packing these 3D boxes
_bounds, consume = packing.rectangles_single(e, size=[14, 14, 1])
assert not consume.all()
def test_transform(self):
from trimesh.path import packing
# try in 3D with random OBB and orientation
ori = g.np.array(
[
[14.0, 14.0, 0.125],
[13.84376457, 13.84376457, 0.25],
[14.0, 14.0, 0.125],
[12.00000057, 12.00000057, 0.25],
[14.0, 14.0, 0.125],
[12.83700787, 12.83700787, 0.375],
[12.83700787, 12.83700787, 0.125],
[14.0, 14.0, 0.625],
[1.9999977, 1.9999509, 0.25],
[0.87481696, 0.87463294, 0.05],
[0.99955503, 0.99911677, 0.1875],
]
)
density = []
with g.Profiler() as P:
for i in range(10):
# roll the extents by a random amount and offset
extents = []
for i in ori:
extents.append(g.np.roll(i, int(g.random() * 10)) + g.random(3))
extents = g.np.array(extents)
bounds, consume = packing.rectangles(extents)
# should have inserted everything because we didn't specify
# a maximum `size` to packing
assert consume.all()
assert len(bounds) == consume.sum()
# generate the transforms for the packing
transforms = packing.roll_transform(bounds=bounds, extents=extents)
assert transforms_match(
bounds=bounds, extents=extents[consume], transforms=transforms
)
viz = packing.visualize(bounds=bounds, extents=extents)
density.append(viz.volume / viz.bounding_box.volume)
bounds, consume = packing.rectangles(extents, size=[16, 16, 10])
# generate the transforms for the packing
transforms = packing.roll_transform(
bounds=bounds, extents=extents[consume]
)
assert transforms_match(
bounds=bounds, extents=extents[consume], transforms=transforms
)
viz = packing.visualize(bounds=bounds, extents=extents[consume])
density.append(viz.volume / viz.bounding_box.volume)
bounds, consume = packing.rectangles(
extents, size=[16, 16, 10], rotate=False
)
# generate the transforms for the packing
transforms = packing.roll_transform(
bounds=bounds, extents=extents[consume]
)
assert transforms_match(
bounds=bounds, extents=extents[consume], transforms=transforms
)
viz = packing.visualize(bounds=bounds, extents=extents[consume])
density.append(viz.volume / viz.bounding_box.volume)
bounds, consume = packing.rectangles(extents, rotate=False)
# generate the transforms for the packing
transforms = packing.roll_transform(
bounds=bounds, extents=extents[consume]
)
assert transforms_match(
bounds=bounds, extents=extents[consume], transforms=transforms
)
viz = packing.visualize(bounds=bounds, extents=extents[consume])
density.append(viz.volume / viz.bounding_box.volume)
g.log.debug(P.output_text())
def test_meshes(self, count=20):
from trimesh.path import packing
# create some random rotation boxes
meshes = [
g.trimesh.creation.box(extents=extents, transform=transform)
for transform, extents in zip(
g.random_transforms(count), (g.random((count, 3)) + 1) * 10
)
]
packed, transforms, consume = packing.meshes(meshes, spacing=0.01)
scene = g.trimesh.Scene(packed)
assert len(consume) == len(meshes)
assert len(packed) == consume.sum()
assert transforms.shape == (consume.sum(), 4, 4)
density = scene.volume / scene.bounding_box.volume
assert density > 0.5
if __name__ == "__main__":
g.trimesh.util.attach_to_log()
g.unittest.main()
|
