nabu.stitching.stitcher.pre_processing module

class nabu.stitching.stitcher.pre_processing.PreProcessingStitching(configuration, progress=None)[source]

Bases: SingleAxisStitcher

loader to be used when save data during pre-processing stitching (on projections). Output is expected to be an NXtomo

warning: axis are provided according to the acquisition space

pre_processing_computation()[source]

some specific pre-processing that can be call before retrieving the data

property stitching_axis_in_frame_space

//tomo.gitlab-pages.esrf.fr/bliss-tomo/master/modelization.html)

Type:

stitching is operated in 2D (frame) space. So the axis in frame space is different than the one in 3D ebs-tomo space (https

property x_flips: list
property y_flips: list
order_input_tomo_objects()[source]

order inputs tomo objects

check_inputs()[source]

insure input data is coherent

compute_estimated_shifts()[source]
static get_bunch_of_data(bunch_start: int, bunch_end: int, step: int, scans: tuple, scans_projections_indexes: tuple, reading_orders: tuple, flip_lr_arr: tuple, flip_ud_arr: tuple)[source]

goal is to load contiguous projections as much as possible…

Parameters:

  • bunch_start (int) – begining of the bunch

  • bunch_end (int) – end of the bunch

  • scans (int) – ordered scan for which we want to get data

  • scans_projections_indexes – tuple with scans and scan projection indexes to be loaded

  • flip_lr_arr (tuple) – extra information from the user to left-right flip frames

  • flip_ud_arr (tuple) – extra information from the user to up-down flip frames

Returns:

list of list. For each frame we want to stitch contains the (flat fielded) frames to stich together

compute_reduced_flats_and_darks()[source]

make sure reduced dark and flats are existing otherwise compute them