fix(eval): read schema-v2 scene windows

The output schema moved to version 2, where each actor's "scenes" is a
list of {start, end, belief, route} objects rather than [t0, t1] pairs.
Both scorers still unpacked pairs and raised "too many values to unpack
(expected 2, got 4)" on current output. Read either form: an object's
start/end, or a two-element list. Fixes second_score.py (the optimizer's
per-second scorer) and sample_eval.py (the X-Ray/MovieNet presence eval).

scripts/optimizer/second_score.py

@@ -95,7 +95,15 @@ def load_pred_intervals(pred_json: dict):
     for a in pred_json.get("actors", []):
         keys = frozenset(keys_for(imdb_id=a.get("imdb_id"), tmdb_id=a.get("tmdb_id"),
                                   jellyfin_id=a.get("jellyfin_id"), name=a.get("name")))
-        out.append((keys, [(float(t0), float(t1)) for t0, t1 in a.get("scenes", [])]))
+        # schema_version 1: scenes is [[t0, t1], ...]; schema_version 2:
+        # scenes is [{"start":…, "end":…, "belief":…, "route":…}, …].
+        windows = []
+        for s in a.get("scenes", []):
+            if isinstance(s, dict):
+                windows.append((float(s["start"]), float(s["end"])))
+            else:
+                windows.append((float(s[0]), float(s[1])))
+        out.append((keys, windows))
     return out
 
 

scripts/validation/sample_eval.py

@@ -61,7 +61,15 @@ class Prediction:
             keys = keys_for(imdb_id=a.get("imdb_id"), tmdb_id=a.get("tmdb_id"),
                             jellyfin_id=a.get("jellyfin_id"), name=a.get("name"),
                             crosswalk=crosswalk)
-            windows = [(float(t0), float(t1)) for t0, t1 in a.get("scenes", [])]
+            # schema_version 1: scenes is [[t0, t1], ...]  (list of pairs)
+            # schema_version 2: scenes is [{"start":…, "end":…, "belief":…, …}, …]
+            windows = []
+            for s in a.get("scenes", []):
+                if isinstance(s, dict):
+                    windows.append((float(s["start"]), float(s["end"])))
+                else:
+                    t0, t1 = s[0], s[1]
+                    windows.append((float(t0), float(t1)))
             for _, t1 in windows:
                 self._max_t = max(self._max_t, t1)
             self.actors.append({"keys": keys, "windows": windows})