scorevision: push artifact

miner.py

@@ -1,5 +1,5 @@
 """
-Score Vision SN44 — Unified miner v3.23 (2026-04-06). TTA consensus (person), FP32 fallback (vehicle), parts_confirm on vehicle challenges, car conf 0.60, VEH_MIN_WH=20. Person: DMSC19-inspired graduated consensus replaces soft-NMS (both=0.50, orig=0.60, flip=0.75). Vehicle: FP32 retry on ≤1 box, parts_confirm with empty person_boxes, plate 80px, car 0.60.
+Score Vision SN44 — Unified miner v3.23.1 (2026-04-06). Hotfix: FP32 fallback trigger 0 boxes only (was ≤1). TTA consensus (person), FP32 fallback (vehicle), parts_confirm on vehicle challenges, car conf 0.60, VEH_MIN_WH=20.
 Tri-model: vehicle (YOLO11m INT8 1280) + person (YOLO12s FP16 960 TRT) + petrol (end2end 640).
 Pose model: YOLOv8n-pose FP16 640 for false-positive filtering + keypoint box refinement.
 Vehicle weights loaded from secondary HF repo (meaculpitt/ScoreVision-Vehicle).
@@ -930,15 +930,15 @@ class Miner:
         return out
 
     def _infer_vehicle(self, image_bgr):
-        """Vehicle detection with FP32 fallback on degraded INT8 output.
+        """Vehicle detection with FP32 fallback on catastrophic INT8 failure.
 
-        Runs INT8 model first. If it returns ≤1 box (likely INT8 degradation,
-        see block 7905900), retries with FP32 model and uses whichever
-        produced more detections.
+        Runs INT8 model first. If it returns 0 boxes (true catastrophic failure,
+        see block 7905900), retries with FP32 model. Single-box results are
+        kept as-is — likely real sparse scenes, not INT8 degradation.
         """
         boxes = self._infer_vehicle_core(image_bgr, self.veh_session)
 
-        if len(boxes) <= 1 and self.veh_session_fp32:
+        if len(boxes) == 0 and self.veh_session_fp32:
             boxes_fp32 = self._infer_vehicle_core(image_bgr, self.veh_session_fp32)
             if len(boxes_fp32) > len(boxes):
                 logger.warning(