Docs.rs
bye_nanoflann_rs-0.1.0
bye_nanoflann_rs 0.1.0
Permalink
Docs.rs crate page
Links
Homepage
Repository
crates.io
Source
Owners
qsbye
ByeIO
Dependencies
rand ^0.8.5
normal
Versions
62.5%
of the crate is documented
Platform
aarch64-apple-darwin
aarch64-unknown-linux-gnu
i686-pc-windows-msvc
x86_64-pc-windows-msvc
x86_64-unknown-linux-gnu
Feature flags
docs.rs
About docs.rs
Badges
Builds
Metadata
Shorthand URLs
Download
Rustdoc JSON
Build queue
Privacy policy
Rust
Rust website
The Book
Standard Library API Reference
Rust by Example
The Cargo Guide
Clippy Documentation
Crate bye_nanoflann_rs
bye_
nanoflann_
rs
0.1.0
All Items
Crate Items
Modules
Crate
bye_
nanoflann_
rs
Copy item path
Source
Modules
§
base
file
kdtree
memalloc
metric
本模块定义了多种距离度量函数,用于计算高维数据集中的距离。 包括曼哈顿距离、欧几里得距离、SO2距离和SO3距离等。
params
这段代码实现了一个用于构建和搜索KD树(K-dimensional tree)的基本结构和参数配置。
pointcloud
sets
utils