Use rgb input for both models.

scripts/utils_2d_pose_ort.py

@@ -158,7 +158,7 @@ class RTMDet(BaseModel):
         image, self.dx, self.dy, self.scale = self.letterbox(
             image, (tw, th), fill_value=114
         )
-        tensor = np.asarray(image).astype(self.input_type, copy=False)[..., ::-1]
+        tensor = np.asarray(image).astype(self.input_type, copy=False)
         tensor = np.expand_dims(tensor, axis=0)
         return tensor
 
@@ -363,7 +363,6 @@ def get_2d_pose(model, imgs, num_joints=17):
     new_poses = []
     for i in range(len(imgs)):
         img = imgs[i]
-        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
 
         poses = []
         dets = model.predict(img)