tomo-center v1.0.0
First public release of tomo-center, the reference standalone
implementation of the AI rotation-axis classifier described in:
Tang, S., et al (2026). AI-based rotation-axis
estimation for parallel-beam tomography.
This is the version cited by the paper and used for its benchmark and
stress tests.
What's in the box
tomo-center find— score a folder of reconstructed slices (one per
candidate centre) and report the best centre.tomo-center train— fine-tune the shipped classifier on
facility-specific data.- Pre-trained checkpoint, downloaded separately from
https://anl.box.com/s/k85a89kyplzd56hnjudw4ergt6ojfhoa.
Relation to tomocupy
The same model and inference pipeline are also integrated into
tomocupy under
--rotation-axis-method ai. This repository packages the classifier on
its own, without the full reconstruction stack, so it can run against
any folder of pre-reconstructed TIFF slices.
License
BSD-3-Clause (UChicago Argonne LLC). See LICENSE.