longitudinal/scripts
Furen Xiao a15123f878 feat(benchmarking): add pipeline benchmarking tools
Add a new benchmarking script and documentation to facilitate
performance comparisons between the different implemented pipelines.

- Create `scripts/benchmark_pipelines.py` for automated evaluation
- Add `BENCHMARKING.md` to outline benchmarking procedures and metrics
2026-09-26 13:18:25 +08:00
..
01_build_ntuh_manifest.py refactor(core): improve data pipeline robustness and manifest generation 2026-09-25 22:12:32 +08:00
02_build_m6_dataset.py feat: initial project structure 2026-09-25 16:00:37 +08:00
03_scan_lee_t1c.py feat: initial project structure 2026-09-25 16:00:37 +08:00
04_reconstruct_lee.py feat: initial project structure 2026-09-25 16:00:37 +08:00
05_build_splits.py refactor(nnu): transition to native volume processing for Pipeline B 2026-09-26 12:44:40 +08:00
06_pseudo_label.py feat: initial project structure 2026-09-25 16:00:37 +08:00
07_train.py feat: initial project structure 2026-09-25 16:00:37 +08:00
08_eval.py feat: initial project structure 2026-09-25 16:00:37 +08:00
09_run_iterative.py feat: initial project structure 2026-09-25 16:00:37 +08:00
benchmark_pipelines.py feat(benchmarking): add pipeline benchmarking tools 2026-09-26 13:18:25 +08:00
preprocess.py feat: initial project structure 2026-09-25 16:00:37 +08:00
scan_procs.py refactor(core): improve data pipeline robustness and manifest generation 2026-09-25 22:12:32 +08:00
test_dataloader.py feat(train): implement checkpointing and robust data loading 2026-09-26 03:44:12 +08:00