Random 3D Tomo Loader

Description

A hdf5 dataset of a specified size is created at runtime using numpy random sampling (numpy.random), saved with relevant meta_data to a NeXus file, and used as input. It recreates the behaviour of the nxtomo loader but with random data. The input file path passed to Savu will be ignored (use a dummy). Note: Further extensions planned to allow the generated data to be re-loaded with the nxtomo_loader.

Parameters

preview:
    visibility: basic
    dtype: preview
    description: A slice list of required frames.
    default: "[]"

size:
    visibility: basic
    dtype: "[list[float], list[]]"
    description: A list specifiying the required data size.
    default: "[]"

axis_labels:
    visibility: basic
    dtype: "list[str]"
    description: A list of axis labels.
    default: "['rotation_angle.degrees', 'detector_y.angles', 'detector_x.angles']"

patterns:
    visibility: hidden
    dtype: "list[str]"
    description: Patterns.
    default: "['SINOGRAM.0c.1s.2c', 'PROJECTION.0s.1c.2c']"

file_name:
    visibility: intermediate
    dtype: str
    description: Assign a name to the created h5 file.
    default: input_array

dtype_:
    visibility: intermediate
    dtype: nptype
    description: A numpy array data type
    default: int16

dataset_name:
    visibility: hidden
    dtype: str
    description: The name assigned to the dataset.
    default: tomo

angles:
    visibility: intermediate
    dtype: "[None,str,int]"
    description: "A python statement to be evaluated or a file - if the value is None, values will be in the interval [0, 180]"
    default: None

pattern:
    visibility: intermediate
    dtype: "[None,str]"
    description: Pattern used to create and store the hdf5 dataset default is the first pattern in the pattern dictionary.
    default: None

range:
    visibility: intermediate
    dtype: "list[float,float]"
    description: Set the distribution interval.
    default: "[1, 10]"

image_key:
    visibility: intermediate
    dtype: list
    description: Specify position of darks and flats (in that order) in the data.
    default: "[[0, 1], [2, 3]]"

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 Random3dTomoLoader(name='Random3dTomoLoader')

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).