[Hackthon_4th 177] Support PP-YOLOE-R with BM1684 (#1809)

* first draft

* add robx iou

* add benchmark for ppyoloe_r

* remove trash code

* fix bugs

* add pybind nms rotated option

* add missing head file

* fix bug

* fix bug2

* fix shape bug

---------

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

python/fastdeploy/vision/detection/ppdet/__init__.py

@@ -50,6 +50,15 @@ class NMSOption:
         return self.nms_option.background_label
 
 
+class NMSRotatedOption:
+    def __init__(self):
+        self.nms_rotated_option = C.vision.detection.NMSRotatedOption()
+
+    @property
+    def background_label(self):
+        return self.nms_rotated_option.background_label
+
+
 class PaddleDetPostprocessor:
     def __init__(self):
         """Create a postprocessor for PaddleDetection Model
@@ -75,6 +84,14 @@ class PaddleDetPostprocessor:
             nms_option = NMSOption()
         self._postprocessor.set_nms_option(self, nms_option.nms_option)
 
+    def set_nms_rotated_option(self, nms_rotated_option=None):
+        """This function will enable decode and rotated nms in postprocess step.
+        """
+        if nms_rotated_option is None:
+            nms_rotated_option = NMSRotatedOption()
+        self._postprocessor.set_nms_rotated_option(
+            self, nms_rotated_option.nms_rotated_option)
+
 
 class PPYOLOE(FastDeployModel):
     def __init__(self,
@@ -781,3 +798,40 @@ class GFL(PPYOLOE):
                                              config_file, self._runtime_option,
                                              model_format)
         assert self.initialized, "GFL model initialize failed."
+
+
+class PPYOLOER(PPYOLOE):
+    def __init__(self,
+                 model_file,
+                 params_file,
+                 config_file,
+                 runtime_option=None,
+                 model_format=ModelFormat.PADDLE):
+        """Load a PPYOLOER model exported by PaddleDetection.
+
+        :param model_file: (str)Path of model file, e.g ppyoloe_r/model.pdmodel
+        :param params_file: (str)Path of parameters file, e.g ppyoloe_r/model.pdiparams, if the model_fomat is ModelFormat.ONNX, this param will be ignored, can be set as empty string
+        :param config_file: (str)Path of configuration file for deployment, e.g ppyoloe_r/infer_cfg.yml
+        :param runtime_option: (fastdeploy.RuntimeOption)RuntimeOption for inference this model, if it's None, will use the default backend on CPU
+        :param model_format: (fastdeploy.ModelForamt)Model format of the loaded model
+        """
+
+        super(PPYOLOE, self).__init__(runtime_option)
+
+        self._model = C.vision.detection.PPYOLOER(
+            model_file, params_file, config_file, self._runtime_option,
+            model_format)
+        assert self.initialized, "PicoDet model initialize failed."
+
+    def clone(self):
+        """Clone PPYOLOER object
+
+        :return: a new PPYOLOER object
+        """
+
+        class PPYOLOERClone(PPYOLOER):
+            def __init__(self, model):
+                self._model = model
+
+        clone_model = PPYOLOERClone(self._model.clone())
+        return clone_model