fix(rapidocr): fixed path error of infernce engine when customizing incoming parameters

python/rapidocr/inference_engine/base.py

@@ -121,8 +121,6 @@ class InferSession(abc.ABC):
         if not model_path.is_file():
             raise FileExistsError(f"{model_path} is not a file.")
 
-        return model_path
-
     @abc.abstractmethod
     def have_key(self, key: str = "character") -> bool:
         pass

python/rapidocr/inference_engine/onnxruntime.py

@@ -32,7 +32,7 @@ class OrtInferSession(InferSession):
     def __init__(self, config: Dict[str, Any]):
         self.logger = Logger(logger_name=__name__).get_log()
 
-        model_path = config.get("model_path", None)
+        model_path = Path(config.get("model_path", None))
         if model_path is None:
             # 说明用户没有指定自己模型，使用默认模型
             model_info = self.get_model_url(

python/rapidocr/inference_engine/openvino.py

@@ -21,7 +21,7 @@ class OpenVINOInferSession(InferSession):
 
         core = Core()
 
-        model_path = config.get("model_path", None)
+        model_path = Path(config.get("model_path", None))
         if model_path is None:
             model_info = self.get_model_url(
                 config.engine_name, config.task_type, config.lang

python/rapidocr/inference_engine/paddle.py

@@ -24,7 +24,7 @@ class PaddleInferSession(InferSession):
         self.logger = Logger(logger_name=__name__).get_log()
         self.mode = mode
 
-        model_dir = config.get("model_dir", None)
+        model_dir = Path(config.get("model_dir", None))
         if model_dir is None:
             model_info = self.get_model_url(
                 config.engine_name, config.task_type, config.lang

python/rapidocr/inference_engine/torch.py

@@ -20,7 +20,7 @@ class TorchInferSession(InferSession):
     def __init__(self, config) -> None:
         self.logger = Logger(logger_name=__name__).get_log()
 
-        model_path = config.get("model_path", None)
+        model_path = Path(config.get("model_path", None))
         if model_path is None:
             model_info = self.get_model_url(
                 config.engine_name, config.task_type, config.lang
@@ -36,7 +36,7 @@ class TorchInferSession(InferSession):
                 )
             )
 
-        model_path = self._verify_model(model_path)
+        self._verify_model(model_path)
 
         all_arch_config = OmegaConf.load(DEFAULT_CFG_PATH)
         file_name = model_path.stem