py3dtiles.tilers.point.node.node module

class py3dtiles.tilers.point.node.node.DummyNode(_bytes: _DummyNodeDictType)

Bases: object

class py3dtiles.tilers.point.node.node.Node(name: bytes, aabb: ndarray[Any, dtype[float64 | float32]], spacing: float)

Bases: object

docstring for Node

aabb

aabb_center

aabb_size

children: list[bytes] | None

dirty

dump_pending_points() → list[tuple[bytes, bytes, int]]

flush_pending_points(catalog: NodeCatalog, scale: float) → None

get_child_names() → Generator[bytes, None, None]

get_pending_points_count() → int

get_point_count(node_catalog: NodeCatalog, max_depth: int, depth: int = 0) → int

static get_points(data: Node | DummyNode, include_rgb: bool, include_classification: bool, include_intensity: bool) → ndarray[Any, dtype[uint8]]

grid

insert(scale: float, xyz: ndarray[Any, dtype[float32]], rgb: ndarray[Any, dtype[uint8]], classification: ndarray[Any, dtype[uint8]], intensity: ndarray[Any, dtype[uint8]], make_empty_node: bool = False) → None

inv_aabb_size

load_from_bytes(byt: bytes) → None

name

needs_balance() → bool

pending_classification: list[ndarray[Any, dtype[uint8]]]

pending_intensity: list[ndarray[Any, dtype[uint8]]]

pending_rgb: list[ndarray[Any, dtype[uint8]]]

pending_xyz: list[ndarray[Any, dtype[float32]]]

points: list[tuple[ndarray[Any, dtype[float32]], ndarray[Any, dtype[uint8]], ndarray[Any, dtype[uint8]], ndarray[Any, dtype[uint8]]]]

save_to_bytes() → bytes

spacing

to_tileset(folder: Path, scale: ndarray[Any, dtype[float32]], parent_node: Node | None = None, depth: int = 0, pool_executor: ProcessPoolExecutor | None = None) → Tile | None

py3dtiles.tilers.point.node.node.node_to_tileset(args: tuple[Node, Path, ndarray[Any, dtype[float32]], Node | None, int]) → Tile | None

py3dtiles.tilers.point.node.node.split_tileset(tile: Tile, split_name: str, folder: Path) → Tile