httomo.transform_loader_params

httomo.transform_loader_params#

Classes

`ContinuousScanSubsetParam`	Configuration for selecting a subset of the input dataset along the angular dimension.
`DarksFlatsParam`	Darks/flats configuration dict.
`PreviewParam`	Preview configuration dict.
`RawAnglesParam`	Angles configuration dict for when the rotation angle values are in a dataset within the input NeXuS/hdf5 file.
`StartStopEntry`	Configuration for a single dimension's previewing in terms of start/stop values.
`UserDefinedAnglesParam`	Angles configuration dict for when the rotation angle values are manually defined (rather than taken from the input NeXuS/hdf5 file).
`UserDefinedAnglesParamInner`	Start, stop, and total angles configuration to generate the rotation angle values.

Functions

`find_tomo_entry`(input_file)	Find group within the NeXuS file which adheres to the NXtomo application definition.
`parse_angles`(angles_data)	Convert python dict representing angles information generated from parsing the pipeline file, into an internal angles configuration type that loaders can use.
`parse_config`(input_file, config)	Convert python dict representing loader parameters generated from parsing the pipeline file, into internal configuration types which provide all information that a loader needs.
`parse_darks_flats`(data_config, ...)	Convert python dict representing darks/flats information generated from parsing the pipeline file, into an internal darks/flats configuration type that loaders can use.
`parse_data`(in_file, data_path)	Convert python dict representing data information generated from parsing the pipeline file, into an internal data configuration type that loaders can use.
`parse_preview`(param_value, data_shape)	Convert python dict representing preview information generated from parsing the pipeline file, into an internal preview configuration type that loaders can use.
`select_continuous_scan_subset`(...)	Transform a PreviewConfig to select a subset of a dataset described by a ContinuousScanSubsetParam.

Types that represent python dicts for angles, preview, and darks/flats configuration, which are generated from parsing a pipeline file into python, and functions to transform these python dicts to internal types that loaders can use.