Collisions¶

class ipctk.Collisions¶

Bases: pybind11_object

Public Data Attributes:

`use_convergent_formulation`	If the collisions should use the convergent formulation.
`are_shape_derivatives_enabled`	If the collisions are using the convergent formulation.
`vv_collisions`
`ev_collisions`
`ee_collisions`
`fv_collisions`
`pv_collisions`

Public Methods:

`__init__`(self)
`build`(args, *kwargs)	Overloaded function.
`compute_minimum_distance`(self, mesh, ...)	Computes the minimum distance between any non-adjacent elements.
`__len__`(self)	Get the number of collisions.
`empty`(self)	Get if the collision set is empty.
`clear`(self)	Clear the collision set.
`__getitem__`(self, i)	Get a reference to collision at index i.
`is_vertex_vertex`(self, i)	Get if the collision at i is a vertex-vertex collision.
`is_edge_vertex`(self, i)	Get if the collision at i is an edge-vertex collision.
`is_edge_edge`(self, i)	Get if the collision at i is an edge-edge collision.
`is_face_vertex`(self, i)	Get if the collision at i is an face-vertex collision.
`is_plane_vertex`(self, i)	Get if the collision at i is an plane-vertex collision.
`to_string`(args, *kwargs)	Overloaded function.

Inherited from pybind11_object

__annotations__ = {}¶

__getitem__(self, i: int) → ipctk.Collision¶

Get a reference to collision at index i.

Parameters:¶

i: int¶: The index of the collision.

Returns:¶

A reference to the collision.

__init__(self)¶

__len__(self) → int¶: Get the number of collisions.

__module__ = 'ipctk'¶

property are_shape_derivatives_enabled : bool¶: If the collisions are using the convergent formulation.

build(*args, **kwargs)¶

Overloaded function.

build(self: ipctk.Collisions, mesh: ipc::CollisionMesh, vertices: numpy.ndarray[numpy.float64[m, n]], dhat: float, dmin: float = 0, broad_phase_method: ipctk.BroadPhaseMethod = <BroadPhaseMethod.HASH_GRID: 1>) -> None

Initialize the set of collisions used to compute the barrier potential.

Parameters:
mesh: The collision mesh. vertices: Vertices of the collision mesh. dhat: The activation distance of the barrier. dmin: Minimum distance. broad_phase_method: Broad-phase method to use.
build(self: ipctk.Collisions, candidates: ipctk.Candidates, mesh: ipc::CollisionMesh, vertices: numpy.ndarray[numpy.float64[m, n]], dhat: float, dmin: float = 0) -> None

Initialize the set of collisions used to compute the barrier potential.

Parameters:
candidates: Distance candidates from which the collision set is built. mesh: The collision mesh. vertices: Vertices of the collision mesh. dhat: The activation distance of the barrier. dmin: Minimum distance.

clear(self) → None¶: Clear the collision set.

compute_minimum_distance(self: ipctk.Collisions, mesh: ipc::CollisionMesh, vertices: numpy.ndarray[numpy.float64[m, n]]) → float¶

Computes the minimum distance between any non-adjacent elements.

Parameters:¶

mesh: The collision mesh.
vertices: Vertices of the collision mesh.

Returns:¶

The minimum distance between any non-adjacent elements.

property ee_collisions : list[ipc::EdgeEdgeCollision]¶

empty(self) → bool¶: Get if the collision set is empty.

property ev_collisions : list[ipc::EdgeVertexCollision]¶

property fv_collisions : list[ipc::FaceVertexCollision]¶

is_edge_edge(self, i: int) → bool¶

Get if the collision at i is an edge-edge collision.

Parameters:¶

i: int¶: The index of the collision.nose

Returns:¶

If the collision at i is an edge-edge collision.

is_edge_vertex(self, i: int) → bool¶

Get if the collision at i is an edge-vertex collision.

Parameters:¶

i: int¶: The index of the collision.

Returns:¶

If the collision at i is an edge-vertex collision.

is_face_vertex(self, i: int) → bool¶

Get if the collision at i is an face-vertex collision.

Parameters:¶

i: int¶: The index of the collision.

Returns:¶

If the collision at i is an face-vertex collision.

is_plane_vertex(self, i: int) → bool¶

Get if the collision at i is an plane-vertex collision.

Parameters:¶

i: int¶: The index of the collision.

Returns:¶

If the collision at i is an plane-vertex collision.

is_vertex_vertex(self, i: int) → bool¶

Get if the collision at i is a vertex-vertex collision.

Parameters:¶

i: int¶: The index of the collision.

Returns:¶

If the collision at i is a vertex-vertex collision.

property pv_collisions : list[ipc::PlaneVertexCollision]¶

to_string(*args, **kwargs)¶

Overloaded function.

to_string(self: ipctk.Collisions, mesh: ipc::CollisionMesh, vertices: numpy.ndarray[numpy.float64[m, n]]) -> str
to_string(self: ipctk.Collisions, mesh: ipc::CollisionMesh, vertices: numpy.ndarray[numpy.float64[m, n]]) -> str

property use_convergent_formulation : bool¶: If the collisions should use the convergent formulation.

property vv_collisions : list[ipc::VertexVertexCollision]¶

Collision¶

class ipctk.Collision¶

Bases: CollisionStencil

Public Data Attributes:

`dmin`	The minimum separation distance.
`weight`	The term's weight (e.g., collision area)
`weight_gradient`	The gradient of the term's weight wrt the rest positions.

Public Methods:

`__init__`(args, *kwargs)
`is_mollified`(self)	Does the distance potentially have to be mollified?
`mollifier_threshold`(self, rest_positions)	Compute the mollifier threshold for the distance.
`mollifier`(args, *kwargs)	Overloaded function.
`mollifier_gradient`(args, *kwargs)	Overloaded function.
`mollifier_hessian`(args, *kwargs)	Overloaded function.
`mollifier_gradient_wrt_x`(self, ...)	Compute the gradient of the mollifier for the distance w.r.t.
`mollifier_gradient_jacobian_wrt_x`(self, ...)	Compute the jacobian of the distance mollifier's gradient w.r.t.

Inherited from CollisionStencil

`__init__`(args, *kwargs)
`num_vertices`(self)	Get the number of vertices in the collision stencil.
`vertex_ids`(self, edges, faces)	Get the vertex IDs of the collision stencil.
`vertices`(self, vertices, edges, faces)	Get the vertex attributes of the collision stencil.
`dof`(self, X, edges, faces)	Select this stencil's DOF from the full matrix of DOF.
`compute_distance`(self, positions)	Compute the distance of the stencil.
`compute_distance_gradient`(self, positions)	Compute the distance gradient of the stencil w.r.t.
`compute_distance_hessian`(self, positions)	Compute the distance Hessian of the stencil w.r.t.

Inherited from pybind11_object

__annotations__ = {}¶

__init__(*args, **kwargs)¶

__module__ = 'ipctk'¶

property dmin : float¶: The minimum separation distance.

is_mollified(self) → bool¶: Does the distance potentially have to be mollified?

mollifier(*args, **kwargs)¶

Overloaded function.

mollifier(self: ipctk.Collision, positions: numpy.ndarray[numpy.float64[m, 1]]) -> float

Compute the mollifier for the distance.

Parameters:
positions: The stencil’s vertex positions.

Returns:
The mollifier value.
mollifier(self: ipctk.Collision, positions: numpy.ndarray[numpy.float64[m, 1]], eps_x: float) -> float

Compute the mollifier for the distance.

Parameters:
positions: The stencil’s vertex positions. eps_x: The mollifier’s threshold.

Returns:
The mollifier value.

mollifier_gradient(*args, **kwargs)¶

Overloaded function.

mollifier_gradient(self: ipctk.Collision, positions: numpy.ndarray[numpy.float64[m, 1]]) -> numpy.ndarray[numpy.float64[m, 1]]

Compute the gradient of the mollifier for the distance wrt the positions.

Parameters:
positions: The stencil’s vertex positions.

Returns:
The mollifier gradient.
mollifier_gradient(self: ipctk.Collision, positions: numpy.ndarray[numpy.float64[m, 1]], eps_x: float) -> numpy.ndarray[numpy.float64[m, 1]]

Compute the gradient of the mollifier for the distance wrt the positions.

Parameters:
positions: The stencil’s vertex positions. eps_x: The mollifier’s threshold.

Returns:
The mollifier gradient.

mollifier_gradient_jacobian_wrt_x(self, rest_positions: numpy.ndarray[numpy.float64[m, 1]], positions: numpy.ndarray[numpy.float64[m, 1]]) → numpy.ndarray[numpy.float64[12, 12]]¶

Compute the jacobian of the distance mollifier’s gradient w.r.t. rest positions.

Parameters:¶

rest_positions: numpy.ndarray[numpy.float64[m, 1]]¶: The stencil’s rest vertex positions.
positions: numpy.ndarray[numpy.float64[m, 1]]¶: The stencil’s vertex positions.

Returns:¶

The jacobian of the mollifier’s gradient w.r.t. rest positions.

mollifier_gradient_wrt_x(self, rest_positions: numpy.ndarray[numpy.float64[m, 1]], positions: numpy.ndarray[numpy.float64[m, 1]]) → numpy.ndarray[numpy.float64[12, 1]]¶

Compute the gradient of the mollifier for the distance w.r.t. rest positions.

Parameters:¶

rest_positions: numpy.ndarray[numpy.float64[m, 1]]¶: The stencil’s rest vertex positions.
positions: numpy.ndarray[numpy.float64[m, 1]]¶: The stencil’s vertex positions.

Returns:¶

The mollifier gradient w.r.t. rest positions.

mollifier_hessian(*args, **kwargs)¶

Overloaded function.

mollifier_hessian(self: ipctk.Collision, positions: numpy.ndarray[numpy.float64[m, 1]]) -> numpy.ndarray[numpy.float64[m, n]]

Compute the Hessian of the mollifier for the distance wrt the positions.

Parameters:
positions: The stencil’s vertex positions.

Returns:
The mollifier Hessian.
mollifier_hessian(self: ipctk.Collision, positions: numpy.ndarray[numpy.float64[m, 1]], eps_x: float) -> numpy.ndarray[numpy.float64[m, n]]

Compute the Hessian of the mollifier for the distance wrt the positions.

Parameters:
positions: The stencil’s vertex positions. eps_x: The mollifier’s threshold.

Returns:
The mollifier Hessian.

mollifier_threshold(self, rest_positions: numpy.ndarray[numpy.float64[m, 1]]) → float¶

Compute the mollifier threshold for the distance.

Parameters:¶

rest_positions: numpy.ndarray[numpy.float64[m, 1]]¶: The stencil’s rest vertex positions.

Returns:¶

The mollifier threshold.

property weight : float¶: The term’s weight (e.g., collision area)

property weight_gradient : scipy.sparse.csc_matrix[numpy.float64]¶: The gradient of the term’s weight wrt the rest positions.

Vertex-Vertex Collision¶

class ipctk.VertexVertexCollision¶

Bases: VertexVertexCandidate, Collision

Public Data Attributes:

Inherited from VertexVertexCandidate

`vertex0_id`	ID of the first vertex
`vertex1_id`	ID of the second vertex

Inherited from Collision

`dmin`	The minimum separation distance.
`weight`	The term's weight (e.g., collision area)
`weight_gradient`	The gradient of the term's weight wrt the rest positions.

Public Methods:

`__init__`(args, *kwargs)	Overloaded function.

Inherited from VertexVertexCandidate

`__init__`(self, vertex0_id, vertex1_id)
`__str__`(self)
`__repr__`(self)
`__eq__`(self, other)
`__ne__`(self, other)
`__lt__`(self, other)	Compare EdgeVertexCandidates for sorting.

Inherited from Collision

`__init__`(args, *kwargs)
`is_mollified`(self)	Does the distance potentially have to be mollified?
`mollifier_threshold`(self, rest_positions)	Compute the mollifier threshold for the distance.
`mollifier`(args, *kwargs)	Overloaded function.
`mollifier_gradient`(args, *kwargs)	Overloaded function.
`mollifier_hessian`(args, *kwargs)	Overloaded function.
`mollifier_gradient_wrt_x`(self, ...)	Compute the gradient of the mollifier for the distance w.r.t.
`mollifier_gradient_jacobian_wrt_x`(self, ...)	Compute the jacobian of the distance mollifier's gradient w.r.t.

Inherited from CollisionStencil

`__init__`(args, *kwargs)
`num_vertices`(self)	Get the number of vertices in the collision stencil.
`vertex_ids`(self, edges, faces)	Get the vertex IDs of the collision stencil.
`vertices`(self, vertices, edges, faces)	Get the vertex attributes of the collision stencil.
`dof`(self, X, edges, faces)	Select this stencil's DOF from the full matrix of DOF.
`compute_distance`(self, positions)	Compute the distance of the stencil.
`compute_distance_gradient`(self, positions)	Compute the distance gradient of the stencil w.r.t.
`compute_distance_hessian`(self, positions)	Compute the distance Hessian of the stencil w.r.t.

Inherited from ContinuousCollisionCandidate

`__init__`(args, *kwargs)
`ccd`(self, vertices_t0, vertices_t1[, ...])	Perform narrow-phase CCD on the candidate.
`print_ccd_query`(self, vertices_t0, vertices_t1)	Print the CCD query to cout.

Inherited from pybind11_object

__annotations__ = {}¶

__init__(*args, **kwargs)¶

Overloaded function.

__init__(self: ipctk.VertexVertexCollision, vertex0_id: int, vertex1_id: int) -> None
__init__(self: ipctk.VertexVertexCollision, vv_candidate: ipctk.VertexVertexCandidate) -> None

__module__ = 'ipctk'¶

Edge-Vertex Collision¶

class ipctk.EdgeVertexCollision¶

Bases: EdgeVertexCandidate, Collision

Public Data Attributes:

Inherited from EdgeVertexCandidate

`edge_id`	ID of the edge
`vertex_id`	ID of the vertex

Inherited from Collision

`dmin`	The minimum separation distance.
`weight`	The term's weight (e.g., collision area)
`weight_gradient`	The gradient of the term's weight wrt the rest positions.

Public Methods:

`__init__`(args, *kwargs)	Overloaded function.

Inherited from EdgeVertexCandidate

`__init__`(self, edge_id, vertex_id)
`known_dtype`(self)
`__str__`(self)
`__repr__`(self)
`__eq__`(self, other)
`__ne__`(self, other)
`__lt__`(self, other)	Compare EdgeVertexCandidates for sorting.

Inherited from Collision

`__init__`(args, *kwargs)
`is_mollified`(self)	Does the distance potentially have to be mollified?
`mollifier_threshold`(self, rest_positions)	Compute the mollifier threshold for the distance.
`mollifier`(args, *kwargs)	Overloaded function.
`mollifier_gradient`(args, *kwargs)	Overloaded function.
`mollifier_hessian`(args, *kwargs)	Overloaded function.
`mollifier_gradient_wrt_x`(self, ...)	Compute the gradient of the mollifier for the distance w.r.t.
`mollifier_gradient_jacobian_wrt_x`(self, ...)	Compute the jacobian of the distance mollifier's gradient w.r.t.

Inherited from CollisionStencil

`__init__`(args, *kwargs)
`num_vertices`(self)	Get the number of vertices in the collision stencil.
`vertex_ids`(self, edges, faces)	Get the vertex IDs of the collision stencil.
`vertices`(self, vertices, edges, faces)	Get the vertex attributes of the collision stencil.
`dof`(self, X, edges, faces)	Select this stencil's DOF from the full matrix of DOF.
`compute_distance`(self, positions)	Compute the distance of the stencil.
`compute_distance_gradient`(self, positions)	Compute the distance gradient of the stencil w.r.t.
`compute_distance_hessian`(self, positions)	Compute the distance Hessian of the stencil w.r.t.

Inherited from ContinuousCollisionCandidate

`__init__`(args, *kwargs)
`ccd`(self, vertices_t0, vertices_t1[, ...])	Perform narrow-phase CCD on the candidate.
`print_ccd_query`(self, vertices_t0, vertices_t1)	Print the CCD query to cout.

Inherited from pybind11_object

__annotations__ = {}¶

__init__(*args, **kwargs)¶

Overloaded function.

__init__(self: ipctk.EdgeVertexCollision, edge_id: int, vertex_id: int) -> None
__init__(self: ipctk.EdgeVertexCollision, candidate: ipctk.EdgeVertexCandidate) -> None

__module__ = 'ipctk'¶

Edge-Edge Collision¶

class ipctk.EdgeEdgeCollision¶

Bases: EdgeEdgeCandidate, Collision

Public Data Attributes:

`eps_x`	Mollifier activation threshold.
`dtype`	Cached distance type.

Inherited from EdgeEdgeCandidate

`edge0_id`	ID of the first edge.
`edge1_id`	ID of the second edge.

Inherited from Collision

`dmin`	The minimum separation distance.
`weight`	The term's weight (e.g., collision area)
`weight_gradient`	The gradient of the term's weight wrt the rest positions.

Public Methods:

`__init__`(args, *kwargs)	Overloaded function.
`__eq__`(self, other)
`__ne__`(self, other)
`__lt__`(self, other)

Inherited from EdgeEdgeCandidate

`__init__`(self, edge0_id, edge1_id)
`known_dtype`(self)
`__str__`(self)
`__repr__`(self)
`__eq__`(self, other)
`__ne__`(self, other)
`__lt__`(self, other)	Compare EdgeEdgeCandidates for sorting.

Inherited from Collision

`__init__`(args, *kwargs)
`is_mollified`(self)	Does the distance potentially have to be mollified?
`mollifier_threshold`(self, rest_positions)	Compute the mollifier threshold for the distance.
`mollifier`(args, *kwargs)	Overloaded function.
`mollifier_gradient`(args, *kwargs)	Overloaded function.
`mollifier_hessian`(args, *kwargs)	Overloaded function.
`mollifier_gradient_wrt_x`(self, ...)	Compute the gradient of the mollifier for the distance w.r.t.
`mollifier_gradient_jacobian_wrt_x`(self, ...)	Compute the jacobian of the distance mollifier's gradient w.r.t.

Inherited from CollisionStencil

`__init__`(args, *kwargs)
`num_vertices`(self)	Get the number of vertices in the collision stencil.
`vertex_ids`(self, edges, faces)	Get the vertex IDs of the collision stencil.
`vertices`(self, vertices, edges, faces)	Get the vertex attributes of the collision stencil.
`dof`(self, X, edges, faces)	Select this stencil's DOF from the full matrix of DOF.
`compute_distance`(self, positions)	Compute the distance of the stencil.
`compute_distance_gradient`(self, positions)	Compute the distance gradient of the stencil w.r.t.
`compute_distance_hessian`(self, positions)	Compute the distance Hessian of the stencil w.r.t.

Inherited from ContinuousCollisionCandidate

`__init__`(args, *kwargs)
`ccd`(self, vertices_t0, vertices_t1[, ...])	Perform narrow-phase CCD on the candidate.
`print_ccd_query`(self, vertices_t0, vertices_t1)	Print the CCD query to cout.

Inherited from pybind11_object

__annotations__ = {}¶

__eq__(self, other: ipctk.EdgeEdgeCollision) → bool¶

__hash__ = None¶

__init__(*args, **kwargs)¶

Overloaded function.

__init__(self: ipctk.EdgeEdgeCollision, edge0_id: int, edge1_id: int, eps_x: float, dtype: ipctk.EdgeEdgeDistanceType = <EdgeEdgeDistanceType.AUTO: 9>) -> None
__init__(self: ipctk.EdgeEdgeCollision, candidate: ipctk.EdgeEdgeCandidate, eps_x: float, dtype: ipctk.EdgeEdgeDistanceType = <EdgeEdgeDistanceType.AUTO: 9>) -> None

__lt__(self, other: ipctk.EdgeEdgeCollision) → bool¶

__module__ = 'ipctk'¶

__ne__(self, other: ipctk.EdgeEdgeCollision) → bool¶

property dtype : ipctk.EdgeEdgeDistanceType¶

Cached distance type.

Some EE collisions are mollified EV or VV collisions.

property eps_x : float¶: Mollifier activation threshold.

Face-Vertex Collision¶

class ipctk.FaceVertexCollision¶

Bases: FaceVertexCandidate, Collision

Public Data Attributes:

Inherited from FaceVertexCandidate

`face_id`	ID of the face
`vertex_id`	ID of the vertex

Inherited from Collision

`dmin`	The minimum separation distance.
`weight`	The term's weight (e.g., collision area)
`weight_gradient`	The gradient of the term's weight wrt the rest positions.

Public Methods:

`__init__`(args, *kwargs)	Overloaded function.

Inherited from FaceVertexCandidate

`__init__`(self, face_id, vertex_id)
`known_dtype`(self)
`__str__`(self)
`__repr__`(self)
`__eq__`(self, other)
`__ne__`(self, other)
`__lt__`(self, other)	Compare FaceVertexCandidate for sorting.

Inherited from Collision

`__init__`(args, *kwargs)
`is_mollified`(self)	Does the distance potentially have to be mollified?
`mollifier_threshold`(self, rest_positions)	Compute the mollifier threshold for the distance.
`mollifier`(args, *kwargs)	Overloaded function.
`mollifier_gradient`(args, *kwargs)	Overloaded function.
`mollifier_hessian`(args, *kwargs)	Overloaded function.
`mollifier_gradient_wrt_x`(self, ...)	Compute the gradient of the mollifier for the distance w.r.t.
`mollifier_gradient_jacobian_wrt_x`(self, ...)	Compute the jacobian of the distance mollifier's gradient w.r.t.

Inherited from CollisionStencil

`__init__`(args, *kwargs)
`num_vertices`(self)	Get the number of vertices in the collision stencil.
`vertex_ids`(self, edges, faces)	Get the vertex IDs of the collision stencil.
`vertices`(self, vertices, edges, faces)	Get the vertex attributes of the collision stencil.
`dof`(self, X, edges, faces)	Select this stencil's DOF from the full matrix of DOF.
`compute_distance`(self, positions)	Compute the distance of the stencil.
`compute_distance_gradient`(self, positions)	Compute the distance gradient of the stencil w.r.t.
`compute_distance_hessian`(self, positions)	Compute the distance Hessian of the stencil w.r.t.

Inherited from ContinuousCollisionCandidate

`__init__`(args, *kwargs)
`ccd`(self, vertices_t0, vertices_t1[, ...])	Perform narrow-phase CCD on the candidate.
`print_ccd_query`(self, vertices_t0, vertices_t1)	Print the CCD query to cout.

Inherited from pybind11_object

__annotations__ = {}¶

__init__(*args, **kwargs)¶

Overloaded function.

__init__(self: ipctk.FaceVertexCollision, face_id: int, vertex_id: int) -> None
__init__(self: ipctk.FaceVertexCollision, candidate: ipctk.FaceVertexCandidate) -> None

__module__ = 'ipctk'¶

Plane-Vertex Collision¶

class ipctk.PlaneVertexCollision¶

Bases: Collision

Public Data Attributes:

`plane_origin`
`plane_normal`
`vertex_id`

Inherited from Collision

`dmin`	The minimum separation distance.
`weight`	The term's weight (e.g., collision area)
`weight_gradient`	The gradient of the term's weight wrt the rest positions.

Public Methods:

`__init__`(self, plane_origin, plane_normal, ...)

Inherited from Collision

`__init__`(args, *kwargs)
`is_mollified`(self)	Does the distance potentially have to be mollified?
`mollifier_threshold`(self, rest_positions)	Compute the mollifier threshold for the distance.
`mollifier`(args, *kwargs)	Overloaded function.
`mollifier_gradient`(args, *kwargs)	Overloaded function.
`mollifier_hessian`(args, *kwargs)	Overloaded function.
`mollifier_gradient_wrt_x`(self, ...)	Compute the gradient of the mollifier for the distance w.r.t.
`mollifier_gradient_jacobian_wrt_x`(self, ...)	Compute the jacobian of the distance mollifier's gradient w.r.t.

Inherited from CollisionStencil

`__init__`(args, *kwargs)
`num_vertices`(self)	Get the number of vertices in the collision stencil.
`vertex_ids`(self, edges, faces)	Get the vertex IDs of the collision stencil.
`vertices`(self, vertices, edges, faces)	Get the vertex attributes of the collision stencil.
`dof`(self, X, edges, faces)	Select this stencil's DOF from the full matrix of DOF.
`compute_distance`(self, positions)	Compute the distance of the stencil.
`compute_distance_gradient`(self, positions)	Compute the distance gradient of the stencil w.r.t.
`compute_distance_hessian`(self, positions)	Compute the distance Hessian of the stencil w.r.t.

Inherited from pybind11_object

__annotations__ = {}¶

__init__(self, plane_origin: numpy.ndarray[numpy.float64[m, 1]], plane_normal: numpy.ndarray[numpy.float64[m, 1]], vertex_id: int)¶

__module__ = 'ipctk'¶

property plane_normal : numpy.ndarray[numpy.float64[m, 1]]¶

property plane_origin : numpy.ndarray[numpy.float64[m, 1]]¶

property vertex_id : int¶

Last update: Apr 03, 2024