from __future__ import annotations
from typing import TYPE_CHECKING
from numba import njit # type: ignore
from numba.typed import List
import numpy as np
from py3dtiles.utils import aabb_size_to_subdivision_type, SubdivisionType
from .distance import is_point_far_enough, xyz_to_key
if TYPE_CHECKING:
from .node import Node
@njit(fastmath=True, cache=True)
def _insert(cells_xyz, cells_rgb, aabmin, inv_aabb_size, cell_count, xyz, rgb, spacing, shift, force=False):
keys = xyz_to_key(xyz, cell_count, aabmin, inv_aabb_size, shift)
if force:
# allocate this one once and for all
for k in np.unique(keys):
idx = np.where(keys - k == 0)
cells_xyz[k] = np.concatenate((cells_xyz[k], xyz[idx]))
cells_rgb[k] = np.concatenate((cells_rgb[k], rgb[idx]))
else:
notinserted = np.full(len(xyz), False)
needs_balance = False
for i in range(len(xyz)):
k = keys[i]
if cells_xyz[k].shape[0] == 0 or is_point_far_enough(cells_xyz[k], xyz[i], spacing):
cells_xyz[k] = np.concatenate((cells_xyz[k], xyz[i].reshape(1, 3)))
cells_rgb[k] = np.concatenate((cells_rgb[k], rgb[i].reshape(1, 3)))
if cell_count[0] < 8:
needs_balance = needs_balance or cells_xyz[k].shape[0] > 200000
else:
notinserted[i] = True
return xyz[notinserted], rgb[notinserted], needs_balance
[docs]
class Grid:
"""docstring for Grid"""
__slots__ = ('cell_count', 'cells_xyz', 'cells_rgb', 'spacing')
def __init__(self, node: Node, initial_count: int = 3) -> None:
self.cell_count = np.array([initial_count, initial_count, initial_count], dtype=np.int32)
self.spacing = node.spacing * node.spacing
self.cells_xyz = List()
self.cells_rgb = List()
for _ in range(self.max_key_value):
self.cells_xyz.append(np.zeros((0, 3), dtype=np.float32))
self.cells_rgb.append(np.zeros((0, 3), dtype=np.uint8))
def __getstate__(self) -> dict:
return {
"cell_count": self.cell_count,
"spacing": self.spacing,
"cells_xyz": list(self.cells_xyz),
"cells_rgb": list(self.cells_rgb),
}
def __setstate__(self, state: dict):
self.cell_count = state['cell_count']
self.spacing = state['spacing']
self.cells_xyz = List(state['cells_xyz'])
self.cells_rgb = List(state['cells_rgb'])
@property
def max_key_value(self) -> int:
return 1 << (2 * int(self.cell_count[0]).bit_length() + int(self.cell_count[2]).bit_length())
[docs]
def insert(self, aabmin: np.ndarray, inv_aabb_size: np.ndarray, xyz: np.ndarray, rgb: np.ndarray, force: bool = False) -> tuple[np.ndarray, np.ndarray, bool]:
return _insert(
self.cells_xyz,
self.cells_rgb,
aabmin,
inv_aabb_size,
self.cell_count,
xyz,
rgb,
self.spacing,
int(self.cell_count[0] - 1).bit_length(), force)
[docs]
def needs_balance(self) -> bool:
if self.cell_count[0] < 8:
for cell in self.cells_xyz:
if cell.shape[0] > 100000:
return True
return False
[docs]
def balance(self, aabb_size: np.ndarray, aabmin: np.ndarray, inv_aabb_size: np.ndarray) -> None:
t = aabb_size_to_subdivision_type(aabb_size)
self.cell_count[0] += 1
self.cell_count[1] += 1
if t != SubdivisionType.QUADTREE:
self.cell_count[2] += 1
if self.cell_count[0] > 8:
raise ValueError(f'The first value of the attribute cell count should be lower or equal to 8,'
f'actual it is {self.cell_count[0]}')
old_cells_xyz = self.cells_xyz
old_cells_rgb = self.cells_rgb
self.cells_xyz = List()
self.cells_rgb = List()
for _ in range(self.max_key_value):
self.cells_xyz.append(np.zeros((0, 3), dtype=np.float32))
self.cells_rgb.append(np.zeros((0, 3), dtype=np.uint8))
for cellxyz, cellrgb in zip(old_cells_xyz, old_cells_rgb):
self.insert(aabmin, inv_aabb_size, cellxyz, cellrgb, True)
[docs]
def get_points(self, include_rgb: bool) -> np.ndarray:
xyz = []
rgb = []
pt = 0
for i in range(len(self.cells_xyz)):
xyz.append(self.cells_xyz[i].view(np.uint8).ravel())
rgb.append(self.cells_rgb[i].ravel())
pt += self.cells_xyz[i].shape[0]
if include_rgb:
res = np.concatenate((np.concatenate(xyz), np.concatenate(rgb)))
return res
else:
return np.concatenate(xyz)
[docs]
def get_point_count(self) -> int:
pt = 0
for i in range(len(self.cells_xyz)):
pt += self.cells_xyz[i].shape[0]
return pt