Fix model loading from HuggingFace Hub and improve inference preprocessing

model.py

@@ -23,17 +23,14 @@ class TrafficSignDetector:
             model_path = config['model']['path']
             
             # Handle HuggingFace paths
-            if '/' in model_path:
-                if model_path.endswith('.pt'):
-                    # Full path with filename (e.g., VietCat/GTSRB-Model/models/GTSRB.pt)
-                    parts = model_path.rsplit('/', 1)
-                    repo_id = parts[0]
-                    file_path = parts[1]
-                    local_model_path = hf_hub_download(repo_id=repo_id, filename=file_path)
-                    self.model = YOLO(local_model_path)
-                else:
-                    # Just repo name (e.g., user/model-name)
-                    self.model = YOLO(model_path)
+            if model_path.endswith('.pt'):
+                # Full path with filename (e.g., VietCat/GTSRB-Model/models/GTSRB.pt)
+                # repo_id can only be namespace/repo_name (2 parts max)
+                parts = model_path.split('/')
+                repo_id = '/'.join(parts[:2])  # Take first two parts: VietCat/GTSRB-Model
+                file_path = '/'.join(parts[2:])  # Take rest: models/GTSRB.pt
+                local_model_path = hf_hub_download(repo_id=repo_id, filename=file_path)
+                self.model = YOLO(local_model_path)
             else:
                 # Local path or direct model path
                 self.model = YOLO(model_path)