fix: restore reliable authenticated live recognition

recognization/code/tracking.py

@@ -122,16 +122,30 @@ class _SessionByteTrack(BYTETracker):
 class TrackOut:
     """One tracked object for a frame."""
 
-    __slots__ = ("track_id", "box", "score", "det_index")
+    __slots__ = ("track_id", "box", "score", "det_index", "low_score")
 
-    def __init__(self, track_id: int, box: List[int], score: float, det_index: Optional[int]):
+    def __init__(
+        self,
+        track_id: int,
+        box: List[int],
+        score: float,
+        det_index: Optional[int],
+        *,
+        low_score: bool = False,
+    ):
         self.track_id = int(track_id)
         self.box = [int(v) for v in box]
         self.score = float(score)
         self.det_index = None if det_index is None or det_index < 0 else int(det_index)
+        # ByteTrack's second pass keeps an id alive on a low-score box. That box
+        # is not a new measurement: callers must not crop or re-label from it.
+        self.low_score = bool(low_score)
 
     def __repr__(self) -> str:  # pragma: no cover - debug helper
-        return f"TrackOut(id={self.track_id}, box={self.box}, score={self.score:.3f}, det={self.det_index})"
+        return (
+            f"TrackOut(id={self.track_id}, box={self.box}, score={self.score:.3f}, "
+            f"det={self.det_index}, low={self.low_score})"
+        )
 
 
 class SessionTracker:
@@ -171,14 +185,17 @@ class SessionTracker:
         outputs: List[TrackOut] = []
         if rows is None or len(rows) == 0:
             return outputs
+        high = float(self.args.track_high_thresh)
         for row in np.asarray(rows):
             # [x1, y1, x2, y2, track_id, score, cls, idx]
+            score = float(row[5])
             outputs.append(
                 TrackOut(
                     track_id=int(row[4]),
                     box=[int(round(row[0])), int(round(row[1])), int(round(row[2])), int(round(row[3]))],
-                    score=float(row[5]),
+                    score=score,
                     det_index=int(row[7]) if len(row) > 7 else None,
+                    low_score=score < high,
                 )
             )
         return outputs