diff --git a/fastdeploy/vision/detection/ppdet/model.h b/fastdeploy/vision/detection/ppdet/model.h
index be13b0b4d58..17502cf21ec 100755
--- a/fastdeploy/vision/detection/ppdet/model.h
+++ b/fastdeploy/vision/detection/ppdet/model.h
@@ -68,6 +68,7 @@ class FASTDEPLOY_DECL PPYOLOE : public PPDetBase {
     valid_gpu_backends = {Backend::ORT, Backend::PDINFER, Backend::TRT};
     valid_timvx_backends = {Backend::LITE};
     valid_kunlunxin_backends = {Backend::LITE};
+    valid_rknpu_backends = {Backend::RKNPU2};
     valid_ascend_backends = {Backend::LITE};
     initialized = Initialize();
   }
diff --git a/fastdeploy/vision/detection/ppdet/ppdet_pybind.cc b/fastdeploy/vision/detection/ppdet/ppdet_pybind.cc
index 09c89dfcef9..573164910bf 100644
--- a/fastdeploy/vision/detection/ppdet/ppdet_pybind.cc
+++ b/fastdeploy/vision/detection/ppdet/ppdet_pybind.cc
@@ -31,7 +31,13 @@ void BindPPDet(pybind11::module& m) {
           outputs[i].StopSharing();
         }
         return outputs;
-      });
+      })
+      .def("disable_normalize", [](vision::detection::PaddleDetPreprocessor& self) {
+        self.DisableNormalize();
+      })
+      .def("disable_permute", [](vision::detection::PaddleDetPreprocessor& self) {
+        self.DisablePermute();
+      });;
 
   pybind11::class_<vision::detection::PaddleDetPostprocessor>(
       m, "PaddleDetPostprocessor")
diff --git a/fastdeploy/vision/detection/ppdet/preprocessor.cc b/fastdeploy/vision/detection/ppdet/preprocessor.cc
index bb38c67ec6a..a18d43b708c 100644
--- a/fastdeploy/vision/detection/ppdet/preprocessor.cc
+++ b/fastdeploy/vision/detection/ppdet/preprocessor.cc
@@ -22,19 +22,19 @@ namespace vision {
 namespace detection {
 
 PaddleDetPreprocessor::PaddleDetPreprocessor(const std::string& config_file) {
-  FDASSERT(BuildPreprocessPipelineFromConfig(config_file),
+  this->config_file_ = config_file;
+  FDASSERT(BuildPreprocessPipelineFromConfig(),
            "Failed to create PaddleDetPreprocessor.");
   initialized_ = true;
 }
 
-bool PaddleDetPreprocessor::BuildPreprocessPipelineFromConfig(
-    const std::string& config_file) {
+bool PaddleDetPreprocessor::BuildPreprocessPipelineFromConfig() {
   processors_.clear();
   YAML::Node cfg;
   try {
-    cfg = YAML::LoadFile(config_file);
+    cfg = YAML::LoadFile(config_file_);
   } catch (YAML::BadFile& e) {
-    FDERROR << "Failed to load yaml file " << config_file
+    FDERROR << "Failed to load yaml file " << config_file_
             << ", maybe you should check this file." << std::endl;
     return false;
   }
@@ -45,21 +45,23 @@ bool PaddleDetPreprocessor::BuildPreprocessPipelineFromConfig(
   for (const auto& op : cfg["Preprocess"]) {
     std::string op_name = op["type"].as<std::string>();
     if (op_name == "NormalizeImage") {
-      auto mean = op["mean"].as<std::vector<float>>();
-      auto std = op["std"].as<std::vector<float>>();
-      bool is_scale = true;
-      if (op["is_scale"]) {
-        is_scale = op["is_scale"].as<bool>();
-      }
-      std::string norm_type = "mean_std";
-      if (op["norm_type"]) {
-        norm_type = op["norm_type"].as<std::string>();
-      }
-      if (norm_type != "mean_std") {
-        std::fill(mean.begin(), mean.end(), 0.0);
-        std::fill(std.begin(), std.end(), 1.0);
+      if (!disable_normalize_) {
+        auto mean = op["mean"].as<std::vector<float>>();
+        auto std = op["std"].as<std::vector<float>>();
+        bool is_scale = true;
+        if (op["is_scale"]) {
+          is_scale = op["is_scale"].as<bool>();
+        }
+        std::string norm_type = "mean_std";
+        if (op["norm_type"]) {
+          norm_type = op["norm_type"].as<std::string>();
+        }
+        if (norm_type != "mean_std") {
+          std::fill(mean.begin(), mean.end(), 0.0);
+          std::fill(std.begin(), std.end(), 1.0);
+        }
+        processors_.push_back(std::make_shared<Normalize>(mean, std, is_scale));
       }
-      processors_.push_back(std::make_shared<Normalize>(mean, std, is_scale));
     } else if (op_name == "Resize") {
       bool keep_ratio = op["keep_ratio"].as<bool>();
       auto target_size = op["target_size"].as<std::vector<int>>();
@@ -104,10 +106,12 @@ bool PaddleDetPreprocessor::BuildPreprocessPipelineFromConfig(
       return false;
     }
   }
-  if (has_permute) {
-    // permute = cast<float> + HWC2CHW
-    processors_.push_back(std::make_shared<Cast>("float"));
-    processors_.push_back(std::make_shared<HWC2CHW>());
+  if (!disable_permute_) {
+    if (has_permute) {
+      // permute = cast<float> + HWC2CHW
+      processors_.push_back(std::make_shared<Cast>("float"));
+      processors_.push_back(std::make_shared<HWC2CHW>());
+    }
   }
 
   // Fusion will improve performance
@@ -202,7 +206,20 @@ bool PaddleDetPreprocessor::Run(std::vector<FDMat>* images,
 
   return true;
 }
-
+void PaddleDetPreprocessor::DisableNormalize() {
+  this->disable_normalize_ = true;
+  // the DisableNormalize function will be invalid if the configuration file is loaded during preprocessing
+  if (!BuildPreprocessPipelineFromConfig()) {
+    FDERROR << "Failed to build preprocess pipeline from configuration file." << std::endl;
+  }
+}
+void PaddleDetPreprocessor::DisablePermute() {
+  this->disable_permute_ = true;
+  // the DisablePermute function will be invalid if the configuration file is loaded during preprocessing
+  if (!BuildPreprocessPipelineFromConfig()) {
+    FDERROR << "Failed to build preprocess pipeline from configuration file." << std::endl;
+  }
+}
 } // namespace detection
 } // namespace vision
 } // namespace fastdeploy
diff --git a/fastdeploy/vision/detection/ppdet/preprocessor.h b/fastdeploy/vision/detection/ppdet/preprocessor.h
index 2733c450e8a..8371afb696f 100644
--- a/fastdeploy/vision/detection/ppdet/preprocessor.h
+++ b/fastdeploy/vision/detection/ppdet/preprocessor.h
@@ -39,10 +39,21 @@ class FASTDEPLOY_DECL PaddleDetPreprocessor {
    */
   bool Run(std::vector<FDMat>* images, std::vector<FDTensor>* outputs);
 
+  /// This function will disable normalize in preprocessing step.
+  void DisableNormalize();
+  /// This function will disable hwc2chw in preprocessing step.
+  void DisablePermute();
+
  private:
-  bool BuildPreprocessPipelineFromConfig(const std::string& config_file);
+  bool BuildPreprocessPipelineFromConfig();
   std::vector<std::shared_ptr<Processor>> processors_;
   bool initialized_ = false;
+  // for recording the switch of hwc2chw
+  bool disable_permute_ = false;
+  // for recording the switch of normalize
+  bool disable_normalize_ = false;
+  // read config file
+  std::string config_file_;
 };
 
 }  // namespace detection
diff --git a/python/fastdeploy/vision/detection/ppdet/__init__.py b/python/fastdeploy/vision/detection/ppdet/__init__.py
index 45734eef09e..f9b162aca63 100644
--- a/python/fastdeploy/vision/detection/ppdet/__init__.py
+++ b/python/fastdeploy/vision/detection/ppdet/__init__.py
@@ -36,6 +36,18 @@ def run(self, input_ims):
         """
         return self._preprocessor.run(input_ims)
 
+    def disable_normalize(self):
+        """
+        This function will disable normalize in preprocessing step.
+        """
+        self._preprocessor.disable_normalize()
+
+    def disable_permute(self):
+        """
+        This function will disable hwc2chw in preprocessing step.
+        """
+        self._preprocessor.disable_permute()
+
 
 class PaddleDetPostprocessor:
     def __init__(self):
@@ -500,4 +512,4 @@ def __init__(self,
         self._model = C.vision.detection.RTMDet(
             model_file, params_file, config_file, self._runtime_option,
             model_format)
-        assert self.initialized, "RTMDet model initialize failed."
\ No newline at end of file
+        assert self.initialized, "RTMDet model initialize failed."