Tags give the ability to mark specific points in history as being important
  • v2020.5.0   Version 2020.5.0
    f9a580b1 · Update release month ·
  • v2020.4.1   Version 2020.4.1
    60c4858d · Update CHANGELOG ·
  • v2020.4.0   Version 2020.4.0
    fd59f606 · Bump version ·
  • v2020.3.0   Version 2020.3.0
    b7762c60 · Bump version ·
  • v2020.2.0

    This is a "preview release", preparing an important release foreseen for September 2020.

    Library features

    • Vertical translations
    • Double flat-field (radios-based rings artefacts removal)
    • Support for half tomography
    • preproc.alignment module
    • Support for flat-field normalization with more than 2 flats


    • Take configuration file start_z and end_z into account for nabu CLI
    • Phase retrieval: method = none is now default (no phase retrieval by default)
    • Add overwrite_results
    • Add support for rotation_axis_position = auto (except for half-tomo)


    • Re-wrote internal processing pipeline with a much simpler design
    • NXresults: config is now a H5 dataset. "image stack" default interpretation.
  • v2020.1.0

    Internal alpha release 2020.1.0 This release is not meant for public use, yet.

    Features included in this release:

    • Pre-processing: Flat-field, phase retrieval (Paganin), FBP reconstruction
    • "Double flat-field", only with numpy backend
    • Read and write HDF5-Nexus files. Support for ESRF legacy EDF scans.
    • CLI tools: nabu-config (bootstrap a configuration file) and nabu (simple reconstruction)
    • (Internally): chunk processing and "flexible processing pipeline", with support of binning/subsampling

    Features currently being developed, and not part of this release:

    • Automatic CoR computation (MR !27)
    • Computations distributions (neither local nor task-scheduler)

    Features implemented in both the numpy and cuda backends, but not tested enough and/or not integrated in the "flexible processing pipeline":

    • Hotspots removal (thresholded median filter)
    • Sinogram-based rings correction (Fourier-Wavelets filter)
    • Horizontal sample shifts