convert dt_polys and rec_polys list to numpy (#2996)

paddlex/inference/pipelines/ocr/result.py

@@ -140,7 +140,11 @@ class OCRResult(BaseCVResult):
         data["model_settings"] = self["model_settings"]
         if self["model_settings"]["use_doc_preprocessor"]:
             data["doc_preprocessor_res"] = self["doc_preprocessor_res"].str["res"]
-        data["dt_polys"] = self["dt_polys"]
+        data["dt_polys"] = (
+            self["dt_polys"]
+            if self["text_type"] == "seal"
+            else np.array(self["dt_polys"])
+        )
         data["text_det_params"] = self["text_det_params"]
         data["text_type"] = self["text_type"]
         if "textline_orientation_angles" in self:
@@ -150,7 +154,11 @@ class OCRResult(BaseCVResult):
         data["text_rec_score_thresh"] = self["text_rec_score_thresh"]
         data["rec_texts"] = self["rec_texts"]
         data["rec_scores"] = np.array(self["rec_scores"])
-        data["rec_polys"] = self["rec_polys"]
+        data["rec_polys"] = (
+            self["rec_polys"]
+            if self["text_type"] == "seal"
+            else np.array(self["rec_polys"])
+        )
         data["rec_boxes"] = np.array(self["rec_boxes"])
 
         return JsonMixin._to_str(data, *args, **kwargs)