feat: Update ensemble_merge_m default value to 0.5 and adjust help description for consistency

script.py

@@ -334,7 +334,7 @@ class Stage2Config:
                  density_planarity_min_points: int = 12,
                  density_min_per_voxel: int = 0,
                  ensemble_n: int = 1,
-                 ensemble_merge_m: float = 0.4,
+                 ensemble_merge_m: float = 0.5,
                  ensemble_mode: str = "medoid",
                  ensemble_strategy: str = "union_hull",
                  ensemble_refine_positions: bool = True,
@@ -1803,12 +1803,11 @@ def parse_args(argv=None):
                         "--ensemble_strategy union_hull this is ~1.2x wall "
                         "since stage-2 shares one encoder pass at B=N). "
                         "Set to 1 to disable.")
-    p.add_argument("--ensemble_merge_m", type=float, default=0.4,
+    p.add_argument("--ensemble_merge_m", type=float, default=0.5,
                    help="Vertex match threshold in metres for ensemble "
                         "selection (medoid Hungarian distance, position "
                         "refinement correspondents, consensus clustering). "
-                        "Default 0.4. The HSS metric uses 0.5; pass 0.5 "
-                        "to align with it.")
+                        "Default 0.5 — matches the HSS metric's vert_thresh.")
     p.add_argument("--ensemble_strategy",
                    choices=["union_hull", "per_seed"], default="union_hull",
                    help="How stage-2 is run across the N ensemble members. "
@@ -1820,12 +1819,12 @@ def parse_args(argv=None):
                         "robust if union-hull occasionally fails.")
     p.add_argument("--ensemble_mode",
                    choices=["medoid", "consensus", "confidence"],
-                   default="confidence",
+                   default="medoid",
                    help="How to combine the N ensemble runs. "
-                        "'confidence' (default) picks the run with the "
-                        "highest mean validity logit. 'medoid' picks the "
-                        "run most similar to the others by Hungarian-"
-                        "matched distance. 'consensus' merges vertices and "
+                        "'medoid' (default) picks the run most similar to "
+                        "the others by Hungarian-matched distance. "
+                        "'confidence' picks the run with the highest mean "
+                        "validity logit. 'consensus' merges vertices and "
                         "majority-votes edges (lost recall in earlier tests).")
     p.add_argument("--no_position_refine", action="store_true",
                    help="Disable position refinement. By default, after the "

test_checkpoint_stage2.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3918551171c82f7ac65f24511ff3c58af5c1e272b8838b1a5acf2c4b4595d5e4
-size 408301733
+oid sha256:c9ef48a502e3b9e4324180362f996ff3927e4bc55ae5ee8e8227543400d3ab1b
+size 408333399

test_checkpoint_stage2_best.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3918551171c82f7ac65f24511ff3c58af5c1e272b8838b1a5acf2c4b4595d5e4
+size 408301733

test_checkpoint_stage2_new.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a4dc400fdc78704e57aa3360e76824ff0f0fbf66a1ef3f0bf07673df0173a6b
+size 408301925