Files
massive-cloud/alg/point_porj/preprocessing/noise.py

30 lines
1.1 KiB
Python

from __future__ import annotations
import copy
import numpy as np
import open3d as o3d
class GaussianNoiseAdder:
"""Add Gaussian noise to an Open3D point cloud."""
def __init__(self, noise_std: float = 4.0, seed: int | None = None) -> None:
self.noise_std = noise_std
self.seed = seed
def apply(self, pointcloud: o3d.geometry.PointCloud) -> o3d.geometry.PointCloud:
noisy = copy.deepcopy(pointcloud)
points = np.asarray(noisy.points)
rng = np.random.default_rng(self.seed)
noise = rng.normal(0, self.noise_std, points.shape)
noisy.points = o3d.utility.Vector3dVector(points + noise)
return noisy
def noise_level(self, clean: o3d.geometry.PointCloud, noisy: o3d.geometry.PointCloud) -> float:
clean_points = np.asarray(clean.points)
noisy_points = np.asarray(noisy.points)
if clean_points.shape != noisy_points.shape:
raise ValueError("Clean and noisy point clouds must have the same point count.")
return float(np.mean(np.linalg.norm(noisy_points - clean_points, axis=1)))