[Model] Support DINO & DETR and add PaddleDetectionModel class (#1837)

* 添加paddleclas模型

* 更新README_CN

* 更新README_CN

* 更新README

* update get_model.sh

* update get_models.sh

* update paddleseg models

* update paddle_seg models

* update paddle_seg models

* modified test resources

* update benchmark_gpu_trt.sh

* add paddle detection

* add paddledetection to benchmark

* modified benchmark cmakelists

* update benchmark scripts

* modified benchmark function calling

* modified paddledetection documents

* add PaddleDetectonModel

* reset examples/paddledetection

* resolve conflict

* update pybind

* resolve conflict

* fix bug

* delete debug mode

* update checkarch log

* update trt inputs example

* Update README.md

---------

Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>

fastdeploy/vision/detection/ppdet/base.cc

@@ -18,6 +18,7 @@ PPDetBase::PPDetBase(const std::string& model_file,
   runtime_option.model_format = model_format;
   runtime_option.model_file = model_file;
   runtime_option.params_file = params_file;
+
 }
 
 std::unique_ptr<PPDetBase> PPDetBase::Clone() const {
@@ -82,6 +83,22 @@ bool PPDetBase::BatchPredict(const std::vector<cv::Mat>& imgs,
   return true;
 }
 
+bool PPDetBase::CheckArch(){
+    std::vector<std::string> archs = {"SOLOv2","YOLO","SSD","RetinaNet","RCNN","Face","GFL","YOLOX","YOLOv5","YOLOv6","YOLOv7","RTMDet","FCOS","TTFNet","TOOD","DETR"};
+    auto arch_ = preprocessor_.GetArch();
+    for (auto item : archs) {
+        if (arch_ == item) {
+            return true;
+        } 
+    }
+    FDWARNING << "Please set model arch,"
+            << "support value : SOLOv2, YOLO, SSD, RetinaNet, RCNN, Face , GFL , RTMDet ,"\
+            <<"FCOS , TTFNet , TOOD , DETR." << std::endl;
+    return false; 
+
+
+}
+
 }  // namespace detection
 }  // namespace vision
 }  // namespace fastdeploy