Migrate register_impact from impact-reg-konfai (pip + one-time glibc/LibTorch shim) to the vboussot/elastix_impact Docker image running a rigid 6-DOF EulerTransform with MIND + TotalSegmentator static features and a Mattes-MI secondary metric. Delete scripts/setup_impact_konfai.sh. Vendor ImpactLoss (vboussot/ImpactLoss) into src/impact_loss.py and add impact_loss as a per-case semantic scoring metric in the benchmark runner. Update docs (AGENTS.md, REGISTRATION_BENCHMARK.md) to reflect the all-rigid pipeline set and the new Docker-based IMPACT runtime. |
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| .. | ||
| 01_build_ntuh_manifest.py | ||
| 02_build_m6_dataset.py | ||
| 03_scan_lee_t1c.py | ||
| 04_reconstruct_lee.py | ||
| 05_build_splits.py | ||
| 06_pseudo_label.py | ||
| 07_train.py | ||
| 08_eval.py | ||
| 09_run_iterative.py | ||
| bench_registration.py | ||
| benchmark_pipelines.py | ||
| make_screenshots.py | ||
| preprocess.py | ||
| scan_procs.py | ||
| test_dataloader.py | ||