Fix few typos (#4921)

Author: szepeviktor

deploy/ultra-infer/python/ultra_infer/vision/classification/contrib/resnet.py

@@ -29,9 +29,9 @@ def __init__(
         """Load a image classification model exported by torchvision.ResNet.
 
         :param model_file: (str)Path of model file, e.g resnet/resnet50.onnx
-        :param params_file: (str)Path of parameters file, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model, default is ONNX
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model, default is ONNX
         """
 
         # call super() to initialize the backend_option

deploy/ultra-infer/python/ultra_infer/vision/classification/contrib/yolov5cls.py

@@ -89,9 +89,9 @@ def __init__(
         """Load a YOLOv5Cls model exported by YOLOv5Cls.
 
         :param model_file: (str)Path of model file, e.g ./YOLOv5Cls.onnx
-        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
 
         super(YOLOv5Cls, self).__init__(runtime_option)

deploy/ultra-infer/python/ultra_infer/vision/classification/ppcls/__init__.py

@@ -88,10 +88,10 @@ def __init__(
         """Load a image classification model exported by PaddleClas.
 
         :param model_file: (str)Path of model file, e.g resnet50/inference.pdmodel
-        :param params_file: (str)Path of parameters file, e.g resnet50/inference.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g resnet50/inference.pdiparams, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param config_file: (str) Path of configuration file for deploy, e.g resnet50/inference_cls.yaml
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
 
         super(PaddleClasModel, self).__init__(runtime_option)

deploy/ultra-infer/python/ultra_infer/vision/classification/ppshitu/__init__.py

@@ -85,10 +85,10 @@ def __init__(
         """Load a image PPShiTuV2Recognizer model exported by PaddleClas.
 
         :param model_file: (str)Path of model file, e.g PPLCNet/inference.pdmodel
-        :param params_file: (str)Path of parameters file, e.g PPLCNet/inference.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g PPLCNet/inference.pdiparams, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param config_file: (str) Path of configuration file for deploy, e.g PPLCNet/inference_cls.yaml
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
 
         super(PPShiTuV2Recognizer, self).__init__(runtime_option)

deploy/ultra-infer/python/ultra_infer/vision/detection/contrib/fastestdet.py

@@ -105,9 +105,9 @@ def __init__(
         """Load a FastestDet model exported by FastestDet.
 
         :param model_file: (str)Path of model file, e.g ./FastestDet.onnx
-        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
 
         super(FastestDet, self).__init__(runtime_option)

deploy/ultra-infer/python/ultra_infer/vision/detection/contrib/nanodet_plus.py

@@ -29,9 +29,9 @@ def __init__(
         """Load a NanoDetPlus model exported by NanoDet.
 
         :param model_file: (str)Path of model file, e.g ./nanodet.onnx
-        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
         # 调用基函数进行backend_option的初始化
         # 初始化后的option保存在self._runtime_option

deploy/ultra-infer/python/ultra_infer/vision/detection/contrib/rkyolo/rkyolov5.py

@@ -148,9 +148,9 @@ def __init__(self, model_file, runtime_option=None, model_format=ModelFormat.RKN
         """Load a RKYOLOV5 model exported by RKYOLOV5.
 
         :param model_file: (str)Path of model file, e.g ./yolov5.rknn
-        :param params_file: (str)Path of parameters file, e.g , if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g , if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
         # 调用基函数进行backend_option的初始化
         # 初始化后的option保存在self._runtime_option
@@ -207,7 +207,7 @@ def __init__(self, model_file, runtime_option=None, model_format=ModelFormat.RKN
 
         :param model_file: (str)Path of model file, e.g ./yolox.rknn
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
         # 调用基函数进行backend_option的初始化
         # 初始化后的option保存在self._runtime_option
@@ -264,7 +264,7 @@ def __init__(self, model_file, runtime_option=None, model_format=ModelFormat.RKN
 
         :param model_file: (str)Path of model file, e.g ./yolov7.rknn
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
         # 调用基函数进行backend_option的初始化
         # 初始化后的option保存在self._runtime_option

deploy/ultra-infer/python/ultra_infer/vision/detection/contrib/scaled_yolov4.py

@@ -29,9 +29,9 @@ def __init__(
         """Load a ScaledYOLOv4 model exported by ScaledYOLOv4.
 
         :param model_file: (str)Path of model file, e.g ./scaled_yolov4.onnx
-        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
         # 调用基函数进行backend_option的初始化
         # 初始化后的option保存在self._runtime_option

deploy/ultra-infer/python/ultra_infer/vision/detection/contrib/yolor.py

@@ -29,9 +29,9 @@ def __init__(
         """Load a YOLOR model exported by YOLOR
 
         :param model_file: (str)Path of model file, e.g ./yolor.onnx
-        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
         # 调用基函数进行backend_option的初始化
         # 初始化后的option保存在self._runtime_option

deploy/ultra-infer/python/ultra_infer/vision/detection/contrib/yolov5.py

@@ -174,9 +174,9 @@ def __init__(
         """Load a YOLOv5 model exported by YOLOv5.
 
         :param model_file: (str)Path of model file, e.g ./yolov5.onnx
-        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param params_file: (str)Path of parameters file, e.g yolox/model.pdiparams, if the model_format is ModelFormat.ONNX, this param will be ignored, can be set as empty string
         :param runtime_option: (ultra_infer.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
-        :param model_format: (ultra_infer.ModelForamt)Model format of the loaded model
+        :param model_format: (ultra_infer.ModelFormat)Model format of the loaded model
         """
         # 调用基函数进行backend_option的初始化
         # 初始化后的option保存在self._runtime_option