httomo.transform_loader_params

httomo.transform_loader_params#

Classes

`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.

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.