CBT_project/.kilo
Xiao Furen 0274e954be refactor(core): improve cylinder parameter snapping and optimization logic
Refactor the cylinder parameter selection and optimization process to
improve accuracy and robustness.

- Implement `snap_to_discrete_values_xfr` using a KDTree for efficient
  mapping of continuous diameter and length values to a predefined
  set of discrete points.
- Update `objective_function_xfr` to use the new snapping mechanism
  and introduce a weighted loss component for diameter and length.
- Adjust PSO optimization bounds and search ranges in `run_pso_torch_xfr`
  to better align with image dimensions and anatomical constraints.
- Refine scoring logic in `cl_score_torch_xfr` with updated penalty
  weights for overlaps and out-of-bone voxels.
- Update `config/constant.py` with new allowed diameter and length
  ranges.
- Improve `imaging/preprocessing.py` by making `PROGRESS_FILE` a
  parameter to allow per-output-directory progress tracking.
- Update `xfr_debug.py` with improved error handling and directory
  paths for batch processing.
2026-08-26 22:36:07 +08:00
..
agents refactor(core): improve cylinder parameter snapping and optimization logic 2026-08-26 22:36:07 +08:00