Add new regression and ensemble experiment configurations for V2-M and OrthoBridge

- Introduced multiple regression experiment configurations targeting vf_md, including: - cd_solo_reg_set.json: CD tower only regression setup. - img_solo_reg_set.json: Image tower only regression setup. - reg_head_epoch_sweep.json: Baseline regression sweeps at different epochs (50, 75, 100). - reg_head_set.json: Various regression setups including baseline and OrthoBridge configurations. - single_eye_reg.json: Single-eye regression setup for worst-eye aggregation analysis. - Added ensemble configurations for OrthoBridge with different inner bridges: - ortho_alts_ensemble.json: Ensemble tests with ConcatBridge, PairwiseAdditiveBridge, and GatedAdditiveBridge. - ortho_alts_tritower.json: Tritower tests with the same inner bridges. - Created V2-M specific configurations: - baseline_reg_nt50.json: Regression baseline with V2-M backbone. - geom_vec_gt.json and geom_vec_unet.json: Geometry vector injection experiments with V2-M. - single_l1_bridges.json: Single-eye ensemble experiments with various bridge types. - tritower_geom_gt.json: Tritower setup with GT contour-rasterized masks. - Promoted existing experiments to higher repetitions for robustness.
2026-06-11 15:08:20 +02:00
parent 32a801a572
commit 280060db82
343 changed files with 8558 additions and 57747 deletions
@@ -667,7 +667,8 @@ def build_seg_map_loader(source: str, **kwargs):
    if source == "gt":
        if "contour_dir" not in kwargs:
            raise ValueError("build_seg_map_loader source='gt' requires contour_dir")
-        return GTSegMapLoader(**kwargs)
+        gt_keys = {"contour_dir", "channels", "mask_size", "target_size", "crop_to_disc"}
+        return GTSegMapLoader(**{k: v for k, v in kwargs.items() if k in gt_keys})
    if source == "unet":
        if "weights_path" not in kwargs:
            raise ValueError("build_seg_map_loader source='unet' requires weights_path")