Add paddlelite backend support (#260)

* Add paddlelite backend support

* Update CMakeLists.txt

* Update __init__.py

fastdeploy/vision/detection/ppdet/picodet.cc

@@ -24,7 +24,7 @@ PicoDet::PicoDet(const std::string& model_file, const std::string& params_file,
                  const RuntimeOption& custom_option,
                  const Frontend& model_format) {
   config_file_ = config_file;
-  valid_cpu_backends = {Backend::PDINFER, Backend::ORT};
+  valid_cpu_backends = {Backend::PDINFER, Backend::ORT, Backend::LITE};
   valid_gpu_backends = {Backend::ORT, Backend::PDINFER, Backend::TRT};
   runtime_option = custom_option;
   runtime_option.model_format = model_format;

fastdeploy/vision/detection/ppdet/ppyoloe.cc

@@ -24,6 +24,7 @@ PPYOLOE::PPYOLOE(const std::string& model_file, const std::string& params_file,
 }
 
 void PPYOLOE::GetNmsInfo() {
+#ifdef ENABLE_PADDLE_FRONTEND
   if (runtime_option.model_format == Frontend::PADDLE) {
     std::string contents;
     if (!ReadBinaryFromFile(runtime_option.model_file, &contents)) {
@@ -41,6 +42,7 @@ void PPYOLOE::GetNmsInfo() {
       normalized = reader.nms_params.normalized;
     }
   }
+#endif
 }
 
 bool PPYOLOE::Initialize() {

fastdeploy/vision/detection/ppdet/ppyoloe.h

@@ -56,13 +56,13 @@ class FASTDEPLOY_DECL PPYOLOE : public FastDeployModel {
   float score_threshold = 0.01;
   int64_t nms_top_k = 10000;
   bool normalized = true;
-  bool has_nms_ = false;
+  bool has_nms_ = true;
 
   // This function will used to check if this model contains multiclass_nms
   // and get parameters from the operator
   void GetNmsInfo();
 };
 
-}  // namespace detection 
+}  // namespace detection
 }  // namespace vision
 }  // namespace fastdeploy