Revert plane_wireframe ensemble: massive regression to 0.2412

Commit 3a43227 added plane_wireframe.predict_wireframe_planes to the ensemble
and the leaderboard score collapsed from 0.4584 to 0.2412 (corner_f1 halved,
edge_iou halved, even hss_q95 dropped from 0.724 to 0.367 — meaning every
sample got worse, not just a subset). The uniform percentile-wise drop rules
out a crash on a subset; plane_wireframe was systematically polluting every
prediction. Most likely cause: its plane-intersection segments are produced
in the same world frame but in regions far from real geometry, then appended
as new vertices/edges by hybrid_merge(radius=0.8) on every sample.

Restoring script.py to the proven 0.4584 state (commit 56f1ec6 contents).
plane_wireframe.py is left in the tree but unused, consistent with the prior
state. Lesson: code that is fully implemented but never wired in by the
original developer should be treated as suspect.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

script.py

@@ -8,16 +8,14 @@ os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
 import subprocess
 import sys
 
-def install_if_missing(package, pip_name=None):
+def install_if_missing(package):
     try:
         __import__(package.split("==")[0])
     except ImportError:
-        subprocess.check_call([sys.executable, "-m", "pip", "install", pip_name or package])
+        subprocess.check_call([sys.executable, "-m", "pip", "install", package])
 
 install_if_missing("scipy")
 install_if_missing("pandas")
-install_if_missing("open3d")
-install_if_missing("skspatial", pip_name="scikit-spatial")
 
 from pathlib import Path
 from tqdm import tqdm
@@ -399,24 +397,10 @@ if __name__ == "__main__":
                         from triangulation import predict_wireframe_tracks
                         # Use min_views=3 for highly precise, conservative geometric tracks
                         track_v, track_e = predict_wireframe_tracks(sample, min_views=3)
-
+                        
                         pred_v, pred_e = hybrid_merge(pred_v, pred_e, track_v, track_e, merge_radius=0.8)
                     except Exception as track_e_err:
                         print(f"  Track ensemble failed for {order_id}: {track_e_err}")
-
-                    # Apply plane-intersection wireframe: RANSAC roof planes from the
-                    # COLMAP cloud, intersect them to recover ridge/eave edges the
-                    # learned model may miss. Recall-focused, geometry-only signal.
-                    # hybrid_merge keeps it append-only at merge_radius=0.8.
-                    try:
-                        from plane_wireframe import predict_wireframe_planes
-                        plane_v, plane_e = predict_wireframe_planes(sample)
-                        if len(plane_v) > 0 and len(plane_e) > 0:
-                            pred_v, pred_e = hybrid_merge(
-                                pred_v, pred_e, plane_v, plane_e, merge_radius=0.8,
-                            )
-                    except Exception as plane_err:
-                        print(f"  Plane ensemble failed for {order_id}: {plane_err}")
                         
                 except Exception as e:
                     import traceback