py3dtiles.tilers.b3dm.wkb_utils module

class py3dtiles.tilers.b3dm.wkb_utils.TriangleSoup

Bases: object

compute_normals() → ndarray[Any, dtype[float32]]

Compute vertex normals and returns them as a numpy array.

static from_wkb_multipolygon(wkb: bytes, associated_data: list[bytes] | None = None) → TriangleSoup

Parameters:

• wkb – Well-Known Binary binary string describing a multipolygon

• associated_data – array of multipolygons containing data attached to the wkb parameter multipolygon. Must be the same size as wkb.

get_bbox() → list[ndarray[Any, dtype[float32]]]

Returns the bbox in this format: [[minX, minY, minZ],[maxX, maxY, maxZ]]

get_data(index: int) → ndarray[Any, dtype[float32]]

get_data_array(index: int) → bytes

Returns a binary array of vertex data

get_normal_array() → bytes

Returns a binary array of vertex normals

get_position_array() → bytes

Returns a binary array of vertex positions

property triangle_indices: ndarray[Any, dtype[uint8]]

Express the triangles as triplets of vertex indices.

property vertices: ndarray[Any, dtype[float32]]

Extract the unique vertices that compose the triangle set.

py3dtiles.tilers.b3dm.wkb_utils.face_attribute_to_array(triangles: list[ndarray[Any, dtype[float32]]]) → list[ndarray[Any, dtype[float32]]]

py3dtiles.tilers.b3dm.wkb_utils.parse(wkb: bytes) → list[list[list[ndarray[Any, dtype[float32]]]]]

py3dtiles.tilers.b3dm.wkb_utils.triangulate(polygon: list[list[ndarray[Any, dtype[float32]]]], additional_polygons: list[list[list[ndarray[Any, dtype[float32]]]]] | None = None) → list[list[ndarray[Any, dtype[float32]]]]

Triangulates 3D polygons

py3dtiles.tilers.b3dm.wkb_utils.unflatten(array: list[list[ndarray[Any, dtype[float32]]]], lengths: list[int], index: int) → ndarray[Any, dtype[float32]]

py3dtiles.tilers.b3dm.wkb_utils.vertex_attribute_to_array(triangles: list[ndarray[Any, dtype[float32]]]) → list[ndarray[Any, dtype[float32]]]