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miner.py

@@ -25,7 +25,7 @@ class TVFrameResult(BaseModel):
 
 class Miner:
     def __init__(self, path_hf_repo: Path) -> None:
-        model_path = path_hf_repo / "person-detection.onnx"
+        model_path = path_hf_repo / "weights.onnx"
         self.class_names = ["person"]
         print("ORT version:", ort.__version__)
 
@@ -72,10 +72,10 @@ class Miner:
 
         # ---------- Scoring-oriented thresholds ----------
         # Low threshold for candidate generation
-        self.conf_thres = 0.10
+        self.conf_thres = 0.05
 
         # High-confidence boxes can survive without TTA confirmation
-        self.conf_high = 0.20
+        self.conf_high = 0.25
 
         # NMS threshold
         self.iou_thres = 0.50