[−][src]Crate pointcloud

Point Cloud

Abstracts data access over several files and glues metadata files to vector data files

pub use metrics::L2;

data_sources	Some data sources and a trait to dimension and uniformly reference the data contained. The only currently supported are memmaps and ram blobs.
glued_data_cloud	Simple gluing structs that abstracts away multi cloud access
label_sources	Some label sets to modularly glue together with the data sources.
loaders	Loaders for datasets. Just opens them up and returns a point cloud.
metrics	Metrics.
pc_errors	The errors that can occur when a point cloud is loading, working or saving
points	Point Cloud
summaries	Summaries for some label types

AdjMatrix	A sparse adjacency matrix.
SimpleLabeledCloud	Simply shoves together a point cloud and a label set, for a modular label system
SummaryCounter	Simply shoves together a point cloud and a label set, for a modular label system

LabelSet	A trait for a container that just holds labels. Meant to be used in conjunction with `SimpleLabeledCloud` to be and easy label or metadata object.
LabeledCloud	A point cloud that is labeled
MetaCloud	Allows for expensive metadata, this is identical to the label trait, but enables slower update
Metric	Metric trait. Done as a trait so that it's easy to switch out.
NamedCloud	Enables the points in the underlying cloud to be named with strings.
PointCloud	Base trait for a point cloud
PointRef	A trait to ensure that we can create matrices and statiscial vectors from your point reference.
Summary	A summary for labels and metadata. You can make this an empty zero sized type for when you don't need it.

DefaultCloud	A sensible default for an unlabeled cloud
DefaultLabeledCloud	A sensible default for an labeled cloud