Data

class silvimetric.resources.data.Data(filename: str, storageconfig: StorageConfig, bounds: Bounds = None)

Bases: object

Represents a point cloud or PDAL pipeline, and performs essential operations necessary to understand and execute a Shatter process.

property array: ndarray

Fetch the array from the execute()’d pipeline

Returns:

get data as a numpy ndarray

bounds

Bounds of this section of data

count(bounds: Bounds) → int

For the provided bounds, read and count the number of points that are inside them for this instance.

Parameters:

bounds – query bounding box

Returns:

point count

estimate_count(bounds: Bounds) → int

For the provided bounds, estimate the maximum number of points that could be inside them for this instance.

Parameters:

bounds – query bounding box

Returns:

estimated point count

execute()

Execute PDAL pipeline

Raises:

Exception – PDAL error message passed from execution

filename

Path to either PDAL pipeline or point cloud file

get_array() → ndarray

Fetch the array from the execute()’d pipeline

Returns:

get data as a numpy ndarray

static get_bounds(reader: Reader) → Bounds

Get the bounding box of a point cloud from PDAL.

Parameters:

reader – PDAL Reader representing input data

Returns:

bounding box of point cloud

get_pipeline() → Pipeline

Fetch the pipeline for the instance

Raises:

• Exception – File type isn’t COPC or EPT

• Exception – More than one reader detected

Returns:

Return PDAL pipline

get_reader() → Reader

Grab or make the reader for this instance so we can use it to do things like get the count()

Returns:

get PDAL reader for input

is_pipeline() → bool

Does this instance represent a pdal.Pipeline or a simple filename

Returns:

Return true if input is a pipeline

make_pipeline() → Pipeline

Take a COPC or EPT endpoint and generate a PDAL pipeline for it

Returns:

Return PDAL pipeline

pipeline

PDAL pipeline

reader

PDAL reader

reader_thread_count

Thread count for PDAL reader. Keep to 2 so we don’t hog threads

storageconfig

silvimetric.resources.StorageConfig

to_json()