Ortho Slice

Description

A plugin to extract slices in each direction of a 3D reconstructed volume.

Parameters

in_datasets:
    visibility: datasets
    dtype: "[list[],list[str]]"
    description:
        summary: A list of the dataset(s) to process.
        verbose: A list of strings, where each string gives the name of a dataset that was either specified by a loader plugin or created as output to a previous plugin.  The length of the list is the number of input datasets requested by the plugin.  If there is only one dataset and the list is left empty it will default to that dataset.
    default: "[]"

out_datasets:
    visibility: datasets
    dtype: "[list[],list[str]]"
    description: Default out dataset names.
    default: "['XY', 'YZ', 'XZ']"

xy_slices:
    visibility: basic
    dtype: int
    description: which XY slices to render.
    default: "500"

yz_slices:
    visibility: basic
    dtype: int
    description: which YZ slices to render.
    default: "500"

xz_slices:
    visibility: basic
    dtype: int
    description: which XZ slices to render.
    default: "500"

file_type:
    visibility: basic
    dtype: str
    description: File type to save as
    default: png

Key

visibility: The visibility level of the parameter
dtype: The type of data
description: A short explanation of the parameter
default: The default value
options: A list of permitted values
dependency: The name of the parameter and value which this parameter depends upon
range: A guide for the range of the parameter

Citations

No citations

API

class OrthoSlice

fix_transport()

get_max_frames()

nInput_datasets()

The number of datasets required as input to the plugin

Returns

Number of input datasets

nOutput_datasets()

The number of datasets created by the plugin

Returns

Number of output datasets

populate_meta_data(key, value)

pre_process()

This method is called immediately after base_pre_process().

process_frames(data)

This method is called after the plugin has been created by the pipeline framework and forms the main processing step

Parameters

data (list(np.array)) – A list of numpy arrays for each input dataset.

setup()

This method is first to be called after the plugin has been created. It determines input/output datasets and plugin specific dataset information such as the pattern (e.g. sinogram/projection).