Struct PyPointCloud 

pub struct PyPointCloud {
    pub points: Vec<[f64; 3]>,
    pub normals: Vec<[f64; 3]>,
}

A point cloud with optional per-point normals.

Fields

points: Vec<[f64; 3]>

Point positions.

normals: Vec<[f64; 3]>

Per-point normals (may be empty).

Implementations

impl PyPointCloud

pub fn new() -> Self

Create an empty point cloud.

pub fn from_points(points: Vec<[f64; 3]>) -> Self

Create from point positions.

pub fn compute_normals(&mut self, _k_neighbours: usize)

Estimate per-point normals via PCA of nearest neighbours (simplified: use the point-to-centroid direction as a proxy).

pub fn simplify(&mut self, voxel_size: f64)

Voxel-grid downsampling: keep one point per voxel cell.

pub fn poisson_reconstruct(&self) -> PyTriangleMesh

Stub for Poisson surface reconstruction.

Returns an empty mesh — full implementation requires an octree solver.

Trait Implementations

impl Clone for PyPointCloud

fn clone(&self) -> PyPointCloud

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for PyPointCloud

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for PyPointCloud

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for PyPointCloud

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for PyPointCloud

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.