diff --git a/extras/easypose/pose.py b/extras/easypose/pose.py
index 10d4086..1d37888 100644
--- a/extras/easypose/pose.py
+++ b/extras/easypose/pose.py
@@ -50,14 +50,8 @@ class SimCC(BaseModel):
         return tensor
 
     def postprocess(self, tensor: List[np.ndarray]):
-        simcc_x, simcc_y = tensor
-        simcc_x = np.squeeze(simcc_x, axis=0)
-        simcc_y = np.squeeze(simcc_y, axis=0)
-        keypoints = simcc_decoder(simcc_x,
-                                  simcc_y,
-                                  self.input_shape[2:],
-                                  self.dx,
-                                  self.dy,
-                                  self.scale)
+        kpts = tensor[0][0]
+        scores = np.expand_dims(tensor[1][0], axis=-1)
+        keypoints = np.concatenate([kpts, scores], axis=-1)
 
         return keypoints
diff --git a/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288.py b/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288.py
index 9d41100..bfa43b4 100644
--- a/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288.py
+++ b/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288.py
@@ -2,7 +2,7 @@ _base_ = ["./pose-detection_static.py", "../_base_/backends/onnxruntime.py"]
 
 onnx_config = dict(
     input_shape=[288, 384],
-    output_names=["simcc_x", "simcc_y"],
+    output_names=["kpts", "scores"],
 )
 
-codebase_config = dict(export_postprocess=False)  # do not export get_simcc_maximum
+codebase_config = dict(export_postprocess=True)  # export get_simcc_maximum
diff --git a/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288_fp16.py b/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288_fp16.py
index 1fee327..6263dac 100644
--- a/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288_fp16.py
+++ b/extras/mmdeploy/configs/pose-detection_simcc_onnxruntime_static-384x288_fp16.py
@@ -2,7 +2,7 @@ _base_ = ["./pose-detection_static.py", "../_base_/backends/onnxruntime-fp16.py"
 
 onnx_config = dict(
     input_shape=[288, 384],
-    output_names=["simcc_x", "simcc_y"],
+    output_names=["kpts", "scores"],
 )
 
-codebase_config = dict(export_postprocess=False)  # do not export get_simcc_maximum
+codebase_config = dict(export_postprocess=True)  # export get_simcc_maximum