open3d.geometry.TriangleMesh

class open3d.geometry.TriangleMesh

TriangleMesh class. Triangle mesh contains vertices and triangles represented by the indices to the vertices. Optionally, the mesh may also contain triangle normals, vertex normals and vertex colors.

class Type

Enum class for Geometry types.

HalfEdgeTriangleMesh = Type.HalfEdgeTriangleMesh

Image = Type.Image

LineSet = Type.LineSet

PointCloud = Type.PointCloud

TriangleMesh = Type.TriangleMesh

Unspecified = Type.Unspecified

VoxelGrid = Type.VoxelGrid

__init__(*args, **kwargs)

Overloaded function.

1. __init__(self: open3d.geometry.TriangleMesh) -> None

Default constructor

2. __init__(self: open3d.geometry.TriangleMesh, arg0: open3d.geometry.TriangleMesh) -> None

Copy constructor

clear(self: open3d.geometry.Geometry) → None

Clear all elements in the geometry.

compute_adjacency_list(self: open3d.geometry.TriangleMesh) → None

Function to compute adjacency list, call before adjacency list is needed

compute_triangle_normals(self: open3d.geometry.TriangleMesh, normalized: bool = True) → None

Function to compute triangle normals, usually called before rendering

compute_vertex_normals(self: open3d.geometry.TriangleMesh, normalized: bool = True) → None

Function to compute vertex normals, usually called before rendering

dimension(self: open3d.geometry.Geometry) → int

Returns whether the geometry is 2D or 3D.

get_geometry_type(self: open3d.geometry.Geometry) → open3d::geometry::Geometry::GeometryType

Returns one of registered geometry types.

get_max_bound(self: open3d.geometry.Geometry3D) → numpy.ndarray[float64[3, 1]]

Returns max bounds for geometry coordinates.

get_min_bound(self: open3d.geometry.Geometry3D) → numpy.ndarray[float64[3, 1]]

Returns min bounds for geometry coordinates.

has_adjacency_list(self: open3d.geometry.TriangleMesh) → bool

Returns True if the mesh contains adjacency normals.

has_triangle_normals(self: open3d.geometry.TriangleMesh) → bool

Returns True if the mesh contains triangle normals.

has_triangles(self: open3d.geometry.TriangleMesh) → bool

Returns True if the mesh contains triangles.

has_vertex_colors(self: open3d.geometry.TriangleMesh) → bool

Returns True if the mesh contains vertex colors.

has_vertex_normals(self: open3d.geometry.TriangleMesh) → bool

Returns True if the mesh contains vertex normals.

has_vertices(self: open3d.geometry.TriangleMesh) → bool

Returns True if the mesh contains vertices.

is_empty(self: open3d.geometry.Geometry) → bool

Returns True iff the geometry is empty.

normalize_normals(self: open3d.geometry.TriangleMesh) → None

Normalize both triangle normals and vertex normals to legnth 1.

paint_uniform_color(self: open3d.geometry.TriangleMesh, arg0: numpy.ndarray[float64[3, 1]]) → None

Assign uniform color to all vertices.

purge(self: open3d.geometry.TriangleMesh) → None

Function to remove duplicated and non-manifold vertices/triangles

transform(self: open3d.geometry.Geometry3D, arg0: numpy.ndarray[float64[4, 4]]) → None

Apply transformation (4x4 matrix) to the geometry coordinates.

HalfEdgeTriangleMesh = Type.HalfEdgeTriangleMesh

Image = Type.Image

LineSet = Type.LineSet

PointCloud = Type.PointCloud

TriangleMesh = Type.TriangleMesh

Unspecified = Type.Unspecified

VoxelGrid = Type.VoxelGrid

property adjacency_list

The set adjacency_list[i] contains the indices of adjacent vertices of vertex i.

Type

List of Sets

property triangle_normals

Triangle normals.

Type

float64 array of shape (num_triangles, 3), use numpy.asarray() to access data

property triangles

List of triangles denoted by the index of points forming the triangle.

Type

int array of shape (num_triangles, 3), use numpy.asarray() to access data

property vertex_colors

RGB colors of vertices.

Type

float64 array of shape (num_vertices, 3), range [0, 1] , use numpy.asarray() to access data

property vertex_normals

Vertex normals.

Type

float64 array of shape (num_vertices, 3), use numpy.asarray() to access data

property vertices

Vertex coordinates.

Type

float64 array of shape (num_vertices, 3), use numpy.asarray() to access data